GraphIT - User contributions [en]

Main Page

2026-08-25T09:34:50Z

Chaichy: Timeline Update

{{DISPLAYTITLE:<span style="position: absolute; clip: rect(1px 1px 1px 1px); clip: rect(1px, 1px, 1px, 1px);">{{FULLPAGENAME}}</span>}}
__NOTOC__
== '''Welcome to GraphIT''' ==

This project at the University of Regensburg (UR) investigates how ''dependency graphs'' can be used to model courses, curricula, and personal learning progress. The initial focus lies on courses in higher education. This graph is built on [https://wikiba.se/ Wikibase], the knowledge-graph platform powering [https://wikidata.org Wikidata].

<div style="padding: 7px; background-color:#f0f5f5; border: solid 2px #b3cccc" >
[[File:Logo Stiftung Hochschullehre.jpg|right|250px]]

Since May 2023 we have been using this prototype to explore and examine ways to structure such a graph, present its information and increase its usability. We've fully modelled four courses of the degree program for media informatics at the UR and tested them alongside lectures.
We've explored different experimental frontends and visualizations to make interaction with the data simpler and more efficient.

Since April 2026, further development of GraphIT is being funded by a [https://stiftung-hochschullehre.de/foerderung/freiraum/ Freiraum] grant from the [https://stiftung-hochschullehre.de/ Stiftung Innovation in der Hochschullehre], running through 2028.

</div>

== What is GraphIT? ==
Raphael Wimmer presented the project at the KI-Campus ''Tool Tip Tuesday'' (May 2024, German):
<div style="text-align:center">
{{#widget:Video|videoId=D46KCQNDMaM}}
</div>

Here's a preview of the dependency graph currently in the prototype. Please scroll down to learn more about the project or explore the platform via the menu at the top.

{{#widget:SPARQLquery|code=
#defaultView:Graph
PREFIX wdt: <https://graphit.ur.de/prop/direct/>
SELECT ?item ?itemLabel ?class ?classLabel ?image ?dependency ?dependencyLabel WHERE {
?item wdt:P1 ?dependency.
?item wdt:P2 ?class
OPTIONAL{ ?item wdt:P9 ?image.}
OPTIONAL{ ?class wdt:P9 ?image.}
SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en". }
} LIMIT 101
|caption=One hundred topics from the GraphIT dependency graph. Click below for the full dependency graph.
}}

[[FullGraph|Complete Dependency Graph]] containing all items on GraphIT.

Important: This platform is always work in progress. Please let us know if you find problems or find that important information is missing. Editing the graph is only allowed for registered users.

== Dive Right In ==

The following pages give a good overview of concepts and content within GraphIT.
If you want to learn more about the motivation and ideas behind the project, please read on below this block.

{| class="wikitable"
!colspan="2" | '''[[Quick_Overview]]'''
|-
| style="width:20%; vertical-align:top; text-align:left; padding: 10px" | This page gives you a quick overview of the project, its structure and how you can use it.
| <gallery mode="packed" heights="200px">
File:Graph-simple.png | Simple dependency between items
</gallery>
|-
|}

{| class="wikitable"
!colspan="2" | '''[[GraphStructure]]'''
|-
| style="width:20%; vertical-align:top; text-align:left; padding: 10px" | This page contains a detailed documentation of the graph structure and how it is used to organize the graph using diagrams and example queries.
| <gallery mode="packed" heights="200px">
File:Graph-structure.png | The base structure
File:Graph-structure-Course.png | Connection of courses
</gallery>
|-
|}

{| class="wikitable"
!colspan="2" | '''[[ExampleStudent]]'''
|-
| style="width:20%; vertical-align:top; text-align:left; padding: 10px" | This page show how to a student can use the graph to organize their curriculum and to view their personal usage of it.
| <gallery mode="packed" heights="200px">
File:Max-screenie.png | All items connected to Max
</gallery>
|-
|}

{| class="wikitable"
!colspan="2" | '''[[Student_Use]]'''
|-
| style="width:20%; vertical-align:top; text-align:left; padding: 10px" | This page can give you an overview over your own graph and linked items.
| <gallery mode="packed" heights="200px">
File:Max-screenie.png | All items connected to Max (example)
</gallery>
|-
|}

{| class="wikitable"
!colspan="2" | '''[[Courses/CGBV]]'''
|-
| style="width:20%; vertical-align:top; text-align:left; padding: 10px" | This page gives an overview and helpful queries over the course "Computergraphik und Bildverarbeitung", to show what the graph can do to give students an overview of the course of study, fundamentals usefull items and their prerequisites.
| <gallery mode="packed" heights="200px">
File:Degrees-screenie.png | The degrees of items
</gallery>
|-
|}

{| class="wikitable"
!colspan="2" | '''[[Quiz/CGBV-SL2]]'''
|-
| style="width:20%; vertical-align:top; text-align:left; padding: 10px" | This page gives an example on how coursework can be incorporated in and used by the graph
| <gallery mode="packed" heights="200px">
File:Coursework-screenie.png | Coursework and its prerequisites
</gallery>
|-
|}

{| class="wikitable"
!colspan="2" | '''[[Feature_Demo]]'''
|-
| style="width:20%; vertical-align:top; text-align:left; padding: 10px" | This page gives a couple of examples of what the graph can do.
| <gallery mode="packed" heights="200px">
File:Resources-screenie.png | Resources of an item
</gallery>
|-
|}

== Why GraphIT? ==
What should students learn? Which topics should be covered in a given course of study? These are difficult questions:

The more the knowledge of mankind grows, the more specialized the courses need to be that a university offers. Of course, specialized courses can no longer cover the same breadth of knowledge as classical courses of study. Therefore, we need to constantly redefine what the essential core of a subject is.

On the other hand, in a networked world, interdisciplinary courses of study are valuable. In these, we can no longer teach knowledge and competencies of the parent subjects in the same depth, but must redefine which of these are absolutely necessary for the study goal.

At the same time, students' prior knowledge is becoming more and more heterogeneous due to more open educational pathways and opportunities for digital learning. Also, their goals and opportunities differ a lot. A "one-size-fits-all" degree program will do less and less justice to these students. Instead, we need to find ways to support students in their individual learning goals and speeds while providing them with guidance, support, and education.

Our processes for developing curricula and courses no longer meet these complex and ever-changing demands. Manual labor and gut instinct still prevail in the organization of studies and the development of curricula.

== Basic Concept ==
In the GraphIT project, we develop a dependency graph of learning topics. Each node in the graph represents a ''learning topic'' (or ''topic'') . An edge in the graph indicates which further topics build on the current topic (i.e., depend on it).

Such a graph can structure the content of a single course, a curriculum, a discipline, a university, or the whole world (in theory :) ).

For any given topic, the necessary prerequisites can be retrieved from the graph. Linking open educational resources (OER) or examinations to the graph offers students a flexible tool for self-study and self-assessment.

== Applications ==
Envisioned applications:

'''Educators'''

* collect topics and build curricula and course syllabi
* identify central and irrelevant topics by looking at the graph
* attach OER and other resources to topics and re-use these
* create optimal paths through a curriculum, i.e. identify which topics should be taught in which order
* monitor students' progress and identify bottlenecks, i.e. topics where many students struggle
* ...

'''Students'''

* follow a pre-defined or custom path through a set of topics
* find out what the best path to learning a certain skill is
* track own achievements and compare to individual goals or others
* find new, interesting things one can learn with the knowledge one already has
* better understand the contents and study goals of a course or the curricula
* take part in developing applications using the graphs data
* compare existing knowledge and future interests to the offered curricula
* ...

(Do you have further suggestions? Please tell us via [https://discord.gg/vHDS6crnDj Discord] or [mailto:raphael.wimmer@ur.de email]!)

== Questions and Challenges ==
There are quite a few obvious and less obvious challenges and open questions. The goal of the GraphIT project is to explore these questions by implementing a prototype and evaluating it in practice.

* Can this concept really work?
* How large should a topic be in order to be both useful an manageable?
* Learning is more complex than just 'checking off' topics that one has learned. How do we include repetitions, different grades of learning (c.f. Bloom's taxonomy), or 'soft skills' in such a graph?
* How could one use this graph?
* Which tools are needed in order to efficiently work with a really large graph? (We are developing these at the moment)
* Can intelligent tools (AI!) help with managing, modifying, and updating a large graph?
* Which visualizations and aggregations of the graph are most helpful?
* How can people from different disciplines and institutions, and with different viewpoints collaborate within one large graph?
* Should there be one large graph or many small ones?
* How can we build a platform that is as open and flexible as possible while still maintaining consistency and protecting personal data?

== Status and Roadmap ==
We have been actively using GraphIT in individual courses and building new tools for working with the data in the graph since 2024.

Previously, we discussed the concept with a few people, developed a prototype (also using Wikibase) that we scrapped again, and researched related projects, finalized our infrastructure, and built experimental graphs.

In May 2024, Raphael Wimmer gave a small presentation about GraphIT at the [https://www.youtube.com/watch?v=D46KCQNDMaM KI-Campus Tool Tip Tuesday] (YouTube, 35 minutes, German).

Since the start of 2025 we have been actively planning the expansion of this prototype with further requirements, data and frontends.

At [https://delfi-tagung.de/delfi-2025 DELFI 2025], our [https://epub.uni-regensburg.de/77674/1/paper-60.pdf demonstration of GraphIT] won the Best Demo Award.

Since April 2026, further development of GraphIT is being funded by a [https://stiftung-hochschullehre.de/foerderung/freiraum/ Freiraum] grant from the [https://stiftung-hochschullehre.de/ Stiftung Innovation in der Hochschullehre], running through 2028.

Using the current funding, the GraphIT team is currently (as of August 2026) working in parallel on specialized Educator and Student interfaces to facilitate the interaction with the complex graph. Using our expertise in usability engineering and front-end evaluation, we are about to finish the requirements engineering process and to start the next step in our user-centered development process. A two-month interview series with educators from different disciplinary backgrounds has lead to plenty of insights in how educators plan their courses and differences between disciplines.

== Timeline of the Graph ==
A short overview on how the graph and its data has developed over time
* '''Spring 2023''': brainstorming of initial graph structure based on a previous student project
* '''May 2023''': modeling the first course ([[Courses/CGBV|course]]) accordingly
* '''August 2023''': documenting the initial [[GraphStructure|graph structure]]
* '''October 2023''': modeling a second smaller course ([[Courses/WissenschaftlichesArbeiten|WissArb]]) and adjusting the data structure and link directions (''categories now link to items instead of items linking to categories'')
* '''December 2023''': attempt at modelling third course ([[Courses/Forschungsseminar_MMI|FS MMI]]), but not enough resources and lack of structured data
* '''January 2024''': modelling dummy version of full [[Medieninformatik_BA|curricula]] to show connections between courses
* '''March/April 2024''': update data for next iteration of [[Courses/CGBV_SS24|CGBV]] and [[Courses/Wissenschaftliches_Arbeiten_SS24|WissArb]]
* '''September/October 2024''': modelling two more courses ([[Courses/ASE_24WS|ASE]] and [[Courses/MMT_24WS|MMT]])
* '''February 2025''': change to data structure for courses (''stop linking to categories'')

== About / Contact ==
This is a project by the Physical Digital Affordances Group / Chair of Media Informatics at the University of Regensburg

'''Primary contact:''' Raphael Wimmer ([mailto:raphael.wimmer@ur.de email])

'''Current Contributors:'''
* [https://hci.ur.de/people/fabian_aleksic Fabian Aleksic]
* [https://hci.ur.de/people/ivan_dranyshov Ivan Dranyshov]
* Anna-Lena Hänse
* [https://go.ur.de/michael-achmann Michael Achmann-Denkler]

'''Past Contributors:'''
* Leonie Schrod
* Alexander Weichart

You can also find us on the [https://discord.gg/vHDS6crnDj GraphIT Discord server]

The project was supported by a [https://www.uni-regensburg.de/zentrum-hochschul-wissenschaftsdidaktik/freiraum/index.html#content_toggle_26218 small grant] from the Bavarian State Ministry for Science and the Arts via the [https://www.uni-regensburg.de/centre-for-university-and-academic-teaching/the-cuat/index.html Center for University and Academic Teaching (ZHW)] at the University of Regensburg.

Demo 2026

2026-08-25T08:52:03Z

Chaichy: Improved Wording.

{{Note|type=info|text=Diese Seite dient primär als Materialsammlung für die Live-Demo von GraphIT auf der MuC 2026. Sie können sie aber auch auf eigene Faust explorieren.}}

== Überblick ==
[[File:Math-example.png|thumb|right|350px|A simple example graph about maths]]

* GraphIT ist eine Plattform zur Arbeit mit Abhängigkeitsgraphen um Studiengänge, Kurse und den Fortschritt von Lernenden zu modellieren
* GraphIT setzt auf WikiBase auf
* wir entwickeln die Plattform explorativ seit 2022
* wo notwendig entwickeln wir eigene Frontends und Interaktionsmöglichkeiten

==== Ausgangspunkt: Probleme beim Studiengangsdesign ====
* aktuell one-size-fits-all Studiengänge, aber heterogene Vorkenntnisse und Ziele
* Überarbeitung und Erstellung von Studiengängen dauert lange
* Dozierende wissen oft nicht, was in anderen Kursen passiert
* Vorkenntnisse und Interessen der Studierenden sind nicht bekannt

==== GraphIT ====
 
* wir modellieren Wissen als Netzwerk von Lerninhalten und deren Abhängigkeiten
* Themen bauen aufeinander auf ("B ''depends on'' A")
* Reihe an Vorkenntnisse bildet Lernpfad

{| class="mw-collapsible mw-collapsed wikitable"
! colspan="2"| Begriffe/Definitionen in GraphIT
|-
|'''Item'''
| Ein Knoten, der mit anderen Knoten verlinkt wird. Z.b.: ein Lerninhalt oder eine Person
|-
| '''Property'''
| Eine Kante, die die Beziehung oder Abhängigkeiten verschiedener ''Items'' abbildet
|-
| '''Statements'''
| Item-Property-Item Verknüpfugen. Z.b.: Matrix Multiplication - depends on → Matrix
|-
|'''Qualifier'''
| Annotationen einer Kante
|}

{| class="wikitable"
! colspan="2" | Ein Lernpfad zu einem '''Item''' (hier: [[Item:Q149|Virtual Cameras]])
|-
| style="width:70%"|
{{#widget:SPARQLquery|code=
#defaultView:Graph
PREFIX wd: <https://graphit.ur.de/entity/>
PREFIX wdt: <https://graphit.ur.de/prop/direct/>
SELECT distinct ?v ?vLabel ?rgb ?link ?linkLabel ?edgeLabel
WHERE {
{
{ SELECT * WHERE {
{ SELECT ?goal ?goalLabel ?topic ?topicLabel WHERE {
{
BIND (wd:Q149 as ?goal).
?goal wdt:P1+ ?topic.
} UNION {
VALUES ?topic { wd:Q149 } # we also want to include the root node itself
}
}
}
?topic wdt:P1 ?pre.
BIND (?topic as ?v). # + add all ?pre that are not yet in ?topic
BIND (?pre as ?link).
bind (if(?v = wd:Q149, "FBBC74", "FFEDD8") as ?rgb).
}
}
Union
{ SELECT * WHERE {
{ SELECT ?topic ?topicLabel ?goal ?goalLabel WHERE {
{
BIND (wd:Q149 as ?topic).
?goal wdt:P1+ ?topic.
} UNION {
VALUES ?topic { wd:Q149 } # we also want to include the root node itself
}
}
}
?post wdt:P1 ?topic.
BIND (?post as ?v).
BIND (?topic as ?link).
bind ("F68C13" as ?rgb).
}
}

?property a wikibase:Property; wikibase:directClaim wdt:P1.

SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en".
?property rdfs:label ?edgeLabel. ?v rdfs:label ?vLabel. ?link rdfs:label ?linkLabel.
}
}
} | height=20em
}}
| style="color:gray;" | Ein '''Item''' oder '''Lerninhalt''' baut darauf auf, dass man ein vorheriges Thema verstanden hat. Sie sind voneinander [[Property:P1|abhängig]].
</br>
Daraus ergibt sich ein Lernpfad, dem man vom ''einfachsten'' zum ''schwersten'' Thema folgen kann, um das eigene Wissen allmählich zu erweitern.
Beispielweise ist hier [[Item:Q106|Points and Vectors]] das Grunditem, auf dem alle nächsten Themen aufbauen.
|-
| colspan="2" | [https://tinyurl.com/2av6rsyx Query-Ergebnis]
|}

→ Items (Knoten) im Graph: Topic, User (Studierende oder Dozierende), Session, Course, Ressource, ... (kein rigides Schema!)

→ wir können durch Analyse des Graphen zentrale Themen, Lernpfade, Lücken und Überlappungen finden

→ Direkter Vorteil: dynamischeres Planen und Halten von Lehrveranstaltungen

== Anwendung ==
==== ...für Dozierende ====

Dozierende haben die Möglichkeit, Kurse zu erstellen, und ihnen (existierende) Lerninhalte zuweisen, die an einem bestimmten Termin besprochen werden.
Dabei entsteht eine Graphstruktur, die genutzt werden kann um Strukturen aufzuzeigen, komplexe Abfragen zu stellen und Interaktionen zu tracken.

{| class="mw-collapsible wikitable" style="margin:"auto"
|-
! colspan="2" | '''[[Item:Q1986| Item: MMT 25WS]]'''
|- style="color:gray"
| [[File:Course-Item.png|thumb|500px|center]]
| Das Item zur Vorlesung "Multimedia Technology" im Wintersemester 25/26. Hier kann man die Datenstruktur sehen, die genutzt wird um einen Kurs auzubauen und benötigte Lerninhalte oder strukturelle Items zu verlinken.
|}

Da GraphIT auf MediaWiki/WikiBase aufsetzt, können wir einfach eine Wiki-Seite für einen Kurs erstellen, auf der mithilfe von [https://www.w3.org/TR/sparql11-query/ SPARQL]-Queries Informationen zum Kurs visualisiert werden.

{| class="mw-collapsible wikitable" style="margin:"auto"
|-
! colspan="2" | '''[[Courses/MMT_25WS | Kursseite: Multimedia Technology 25 WS]]'''
|- style="color:gray"
| [[File:Wikibase-Widgets-Screenshot.png|thumb|500px|center]]
|Die Kursseite zur Vorlesung "Multimedia Technology" im Wintersemester 25/26. Hier kann man sehen, in welcher Art der Graph im Rahmen einer Lehrveranstaltung genutzt wird. Zum Beispiel werden SPARQL-Queries genutzt um einen Zeitplan oder zentrale Themen anzuzeigen.
|}

Um Lerninhalte einzupflegen muss man einzelne Items miteinander verlinken.
Jedem Item können zusätzliche Ressourcen angehängt werden, die Studierende selbständig bearbeiten oder explorieren können.

Hierzu kann man die jeweilige Wiki-Seite nutzen:

{| class="mw-collapsible wikitable" style="margin:"auto"
|-
! colspan="2" | '''[[Item:Q121| Item: RGB ]]'''
|- style="color:gray"
| [[File:Example-Item.png|thumb|500px|center]]
| Screenshot eines Items, das einen Lerninhalt darstellt. Andere Items können über ''Properties'' verlinkt werden, (z.B. Ressourcen oder Lernmaterialien zum jeweiligen Thema)
|}

Items können auch als strukturierende Items genutzt werden, um beispielsweise eine Studienleistung oder ein Übungblatt zu repräsentieren
{| class="mw-collapsible wikitable" style="margin:auto"
|-
! colspan="2" | '''[[Item:Q354|Quiz: Bresenham]]'''
|- style="color:gray"
| [[File:Screenshot-Quiz.png|thumb|500px|center]]
| Screenshot eines Quiz-Items, das verschiedene Lerninhalte [[Property:P14|beinhaltet]] und auf ein einfaches Quiz verlinkt. Studierende können diese Items abhaken und damit ihre Fortschritt markieren.
|}

Daraus ergibt sich ein wachsender Graph:
* große Menge an Daten
* komplizierte Strukturen
* starke interne Vernetzung
* Interaktion und Wartung ist umständlich

{| class="mw-collapsible wikitable" style="margin:" auto"
|-
! colspan="2" | [https://tinyurl.com/23oxregx Query]
|- style="color:gray"
| [[File:Screenshot MMT24WS.png|thumb|500px|center|Screenshot des Kurses "Multimedia Technology aus dem Wintersemester 24/25"]]
| Eine Query, die alle Items anzeigt, die in einer Session des Kurses "Multimedia Technology" aus dem Wintersemester 25/26 besprochen wurden. Items sind farblich so kodiert, dass verschiedene Überthemen voneinander unterschieden werden können.
|}

'''→ DESWEGEN:'''

{| class="mw-collapsible wikitable" style="margin:"auto"
|-
! colspan="2" | '''[https://test.graphit.ur.de/app/src/pages/tableEditor/ TableEditor]'''
|- style="color:gray"
| [[File:Table-Editor-Screenshot2.png|thumb|left|500px|Screenshot des Table Editors]]
| Ein eigenes Frontend, mit dem Items abhängig und unabhängig voneinander bearbeitet werden können. Statements (Property-Item-Paare) können zwischen Items erstellt, übertragen, kopiert und gelöscht werden.
|}

* Bearbeitung mehrerer Items gleichzeitig
* dedizierter Editor, um Verknüpfungen zwischen Items zu erstellen, zu ändern, und zu kopieren
* aktive Weiterentwicklung in Tandem mit Nutzung
==== ...für Studierende ====
Studierende können über ein User-Item eigene Verknüpfungen zu Items erstellen und damit Interessen, Vorkenntnisse oder Fortschritte dokumentieren.

{| class="mw-collapsible wikitable" style="margin:"auto"
|-
! colspan="2" | '''[[Item:Q157|User: Max Mustermann ]]'''
|- style="color:gray"
| [[File:Screeshot-User-Item.png|thumb|500px|center]]
| Screenshot eines User Items, mit dem Studierende mit dem Graphen interagieren können. Sichtbar sind zusätzlich Qualifier, die Properties weitere Informationen hinzufügen (z.B.: das Datum einer Markierung)
|}

→ wieder kann die Graphstruktur abgefragt werden um diese Verbindungen sichtbar zu machen:
{| class="wikitable mw-collapsible" style="margin:"auto"
|-
! colspan="2" | '''[[Student_Use| Nutzer-Queries ]]'''
|- style="color:gray"
| [[File:Screenshot-UserPage-MaxMustermann.png|thumb|500px|center]]
| Screenshot einer Seite mit nutzerspezifischen Queries. Sie enthält einige beispielhafte Queries um Nutzenden dynamisch ihre Interaktion mit dem Graphen anzuzeigen.
|}

Um das Bearbeiten des Graphens zugänglicher, benutzerfreundlicher und übersichtlicher zu machen, wurde eine bearbeitbare Graphvisualisierung implementiert
{| class="wikitable mw-collapsible" style="margin:" auto"
|-
! colspan="2" | '''[https://test.graphit.ur.de/app/src/pages/selectionTools/ Graph Editor]'''
|- style="color:gray"
| [[File:Visual-Editor-screenshot.png|thumb|left|500px|Screenshot des Graph Editors]]
| Ein eigenes Frontend, mit dem der komplette Graph eines Kurses angezeigt wird. Hier können Items markiert ([[Property:P12|has completed]], [[Property:P23|interested in]]) und Lernpfade erkundet werden. Zusätzlich werden Informationen und Ressourcen zu Items angezeigt. Es sind verschiedene Selektionsmöglichkeiten vorhanden um das Editieren zu erleichtern und den Graphen zu erkunden.
|}

Aus den Markierungen von Studierenden kann man hilfreiche Abfragen erstellen.

{| class="wikitable" style="margin:" auto"
|-
! Eine Graph, der die Interessen und Vorkenntnisse von Studierenden anzeigt.
|-
|
{{#widget:SPARQLquery| code=
#defaultView:SwarmScatterChart
PREFIX wd: <https://graphit.ur.de/entity/>
PREFIX wdt: <https://graphit.ur.de/prop/direct/>

SELECT DISTINCT ?known ?interests ?itemLabel # ?known ?interests ?item ?itemLabel
WHERE {
wd:Q1986 wdt:P14* ?item.
OPTIONAL {
SELECT ?item ?itemLabel (COUNT(DISTINCT ?student) as ?known) WHERE {
?student wdt:P25 wd:Q1986.
?student wdt:P12 ?item.
} GROUP BY ?item ?itemLabel
}
OPTIONAL {
SELECT ?item ?itemLabel (COUNT(DISTINCT ?student) as ?interests) WHERE {
?student wdt:P25 wd:Q1986.
?student wdt:P23 ?item.
} GROUP BY ?item ?itemLabel
}.
BIND (IF(!BOUND(?interests), 0, ?interest) as ?interests).
BIND (IF(!BOUND(?known), 0, ?known) as ?known).
SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en". }
} | height=25em
}}
|-
| colspan="2" | [https://tinyurl.com/2a68x2sh Query-Ergebnis]
|}
<small>(Die angezeigte Visualisierung wurde von uns für diese Abfrage erstellt und ist nicht Teil der normalen Wikibase-Visualisierungen)</small>

{{Note|type=info|text=Alle Daten können mit existierenden Tools [https://www.mediawiki.org/wiki/Wikibase/Importing importiert] und [https://www.mediawiki.org/wiki/Extension:Wikibase_Export exportiert] werden}}

==== ...zur Studiengangsplanung ====

{| class="mw-collapsible mw-collapsed wikitable"
! colspan="3" | '''Existierende Kurse'''
|-
| MMT 25 WS (Multimedia Technology)
| [[Courses/MMT_25WS|Kursseite]]
| [[Item:Q1986|Kurs-Item]]
|-
| MMT 24 WS (Multimedia Technology)
| [[Courses/MMT_24WS|Kursseite]]
| [[Item:Q1330|Kurs-Item]]
|- style="color:gray"
| ASE 24 WS (Advanced Software Engineering)
| [[Courses/ASE_24WS|Kursseite]]
| [[Item:Q1022|Kurs-Item]]
|-
| CGBV 24SS (Computergrafik und Bildverarbeitung)
| [[Courses/CGBV_SS24|Kursseite]]
| [[Item:Q932|Kurs-Item]]
|- style="color:gray"
| WissArb 24SS (Wissenschaftliches Arbeiten)
| [[Courses/Wissenschaftliches_Arbeiten_SS24|Kursseite]]
| [[Item:Q926|Kurs-Item]]
|-
| WissArb 23WS (Wissenschaftliches Arbeiten)
| [[Courses/WissenschaftlichesArbeiten|Kursseite]]
| [[Item:Q468|Kurs-Item]]
|- style="color:gray"
| CGBV 23SS (Computergrafik und Bildverarbeitung)
| [[Courses/CGBV|Kursseite]]
| [[Item:Q171|Kurs-Item]]
|-
|}
'''Möglichkeit:'''

* Informationen möglichst zugänglich darstellen

* Aufzeigen von Interaktion von Kursen miteinander
** Lerninhalte werden in mehreren Lehrveranstaltungen besprochen
** Lerninhalte eines Kurses sind Voraussetzung für anderen
** Lernziele setzen und geziehlt Kurse besuchen
* Lehrplanung dokumentieren

{| class="wikitable"
! colspan="2" | Überlappende Lehrninhalte
|-
| style="width:70%" | {{#widget:SPARQLquery|code=
#defaultView:Graph
PREFIX wd: <https://graphit.ur.de/entity/>
PREFIX wdt: <https://graphit.ur.de/prop/direct/>
SELECT DISTINCT
?item ?itemLabel ?shape1 ?rgb1
?course1 ?course1Label ?shape2 ?rgb2
?course2 ?course2Label ?shape3 ?rgb3
WHERE {
# List of courses to compare
# VALUES ?course1 {wd:Q932 wd:1330 wd:Q1022}
# VALUES ?course2 {wd:Q932 wd:Q1330 wd:Q1022}
VALUES ?course1 {wd:Q932}
VALUES ?course2 {wd:Q1022 wd:Q1330}

# count number of items "included" in (a session of) both courses
{ SELECT ?course1 ?course1Label ?course2 ?course2Label ?item ?itemLabel WHERE {
?course1 wdt:P14 ?session1.
?session1 wdt:P3 wd:Q427; wdt:P14 ?item.
?course2 wdt:P14 ?session2.
?session2 wdt:P3 wd:Q427; wdt:P14 ?item.
} }

BIND ("text" as ?shape1)
BIND (IF(?course2 = wd:Q1330, "DCCDE0", "e3ffd9") as ?rgb1)
# BIND (IF(?course as ?rgb1)

BIND ("circle" as ?shape2)
BIND ("E0EFFF" as ?rgb2)

BIND ("circle" as ?shape3)
BIND (IF(?course2 = wd:Q1022, "FEFFC2", "F9DCDF") as ?rgb3)

SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en". }
} | height=30em
}}
| style="color:gray" | '''Lerninhalte''' die in mehreren Kursen angesprochen werden. Hier wird Wissen wiederholt, das Studierende möglicherweise bereits wissen.
<br>
Mithilfe des Graphen können diese Überlappungen erkundet werden. In Absprache mit Studierenden (zusätzlich über Graphmakerierungen von Vorkenntnissen/Interessen) kann dynamisch entschieden werden, ob diese Lerninhalte wiederholt oder übersprungen werden.
|-
| colspan="2" | [https://tinyurl.com/24aodakm Query-Ergebnis]
|}

{| class="wikitable"
! colspan="2" | Vorwissen aus anderen Kursen
|-
| style="width:70%" | {{#widget:SPARQLquery|code=
#defaultView:Graph
PREFIX wd: <https://graphit.ur.de/entity/>
PREFIX wdt: <https://graphit.ur.de/prop/direct/>
SELECT DISTINCT
?dependency1 ?dependency1Label ?rgb1 ?shape1
?course2 ?course2Label ?rgb3 ?shape3
?course1 ?course1Label ?rgb2 ?shape2
WHERE {
# List of courses to compare
BIND(wd:Q932 as ?course1)
BIND(wd:Q1330 as ?course2)

# get dependencies of course1 only in course2 (Vorwissen zu course1)
?course1 wdt:P14 ?session1.
?session1 wdt:P3 wd:Q427; wdt:P14 ?item1.
?item1 wdt:P1 ?dependency1.
?course2 wdt:P14 ?session2.
?session2 wdt:P3 wd:Q427; wdt:P14 ?dependency1.
FILTER NOT EXISTS {
?dependency1 ^wdt:P14 ?session.
?session wdt:P3 wd:Q427.
?session ^wdt:P14 ?course1.
}

BIND ("DCB8A5" as ?rgb1)
BIND ("box" as ?shape1)
BIND ("DCB8A5" as ?rgb3)
BIND ("circle" as ?shape3)
BIND ("B4D691" as ?rgb2)
BIND ("circle" as ?shape2)

SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en". }
} | height=30em
}}
| style="color:gray" | '''Lerninhalte''' die als Vorwissen (rot) für einen Kurs (grün) vorausgesetzt werden. Sie werden nicht mehr direkt in diesem Kurs angesprochen, aber Kursinhalte bauen auf ihnen auf.
|-
| colspan="2" | [https://tinyurl.com/2dx2g5ap Query-Ergebnis]
|}

'''Probleme:'''
* sehr große, unübersichtliche Datenstrukturen
* noch keine Versionierung
* Ambiguität von Lerninhalten (z.B.: unterschiedliche Definitionen/Verständnis von Lehrpersonal)
* Kein intuitives Frontend vorhanden -> Hürde für den Einstieg noch zu hoch
* Zu versiert auf die HCI/ Medieninformatik

== Fazit ==

==== Aktueller Stand ====
* Testen des Konzepts zusätzlich zu verschiedenen Vorlesungen an der Universität Regensburg
** Dynamische Anpassung der Graphstruktur, wenn es sich Anforderungen ändern
** Aufbau des Datensatzes während Einsatz
* Durchführung von einer Anforderungsanalyse für neue Frontends
** LoFi- Prototyping
** Stakeholder Interviews mit verschiedensten Studiengängen
** Iterative Anpassung des Prototypen an die Ergebnisse der Interviews

→ Interesse von Studierenden und Lehrpersonal aus verschiedensten Fachrichtungen

→ inhärent komplizierte Datenstruktur

==== Offene Fragen ====
* Wie Datenvalidierung und -erweiterung schneller und übersichtlicher gestalten?
* Wie Dateninteraktion und Datenmenge zugänglicher zu machen?
* Andere sinnvolle Anwendungsbereiche?
*

Lust auf eine Kooperation? → [mailto:raphael.wimmer@ur.de raphael.wimmer@ur.de]
----

File:Logo Stiftung Hochschullehre.jpg

2026-07-15T14:02:42Z

Chaichy: Chaichy uploaded a new version of File:Logo Stiftung Hochschullehre.jpg

The "sponsored by" badge of Stiftung Hochschullehre

Main Page

2026-07-15T13:57:48Z

Chaichy: added funding logo

{{DISPLAYTITLE:<span style="position: absolute; clip: rect(1px 1px 1px 1px); clip: rect(1px, 1px, 1px, 1px);">{{FULLPAGENAME}}</span>}}
__NOTOC__
== '''Welcome to GraphIT''' ==

This project at the University of Regensburg (UR) investigates how ''dependency graphs'' can be used to model courses, curricula, and personal learning progress. The initial focus lies on courses in higher education. This graph is built on [https://wikiba.se/ Wikibase], the knowledge-graph platform powering [https://wikidata.org Wikidata].

<div style="padding: 7px; background-color:#f0f5f5; border: solid 2px #b3cccc" >
[[File:Logo Stiftung Hochschullehre.jpg|right|250px]]

Since May 2023 we have been using this prototype to explore and examine ways to structure such a graph, present its information and increase its usability. We've fully modelled four courses of the degree program for media informatics at the UR and tested them alongside lectures.
We've explored different experimental frontends and visualizations to make interaction with the data simpler and more efficient.

Since April 2026, further development of GraphIT is being funded by a [https://stiftung-hochschullehre.de/foerderung/freiraum/ Freiraum] grant from the [https://stiftung-hochschullehre.de/ Stiftung Innovation in der Hochschullehre], running through 2028.

</div>

'''What is GraphIT?''' Raphael Wimmer presented the project at the KI-Campus ''Tool Tip Tuesday'' (May 2024, German):
<div style="text-align:center">
{{#widget:Video|videoId=D46KCQNDMaM}}
</div>

Here's a preview of the dependency graph currently in the prototype. Please scroll down to learn more about the project or explore the platform via the menu at the top.

{{#widget:SPARQLquery|code=
#defaultView:Graph
PREFIX wdt: <https://graphit.ur.de/prop/direct/>
SELECT ?item ?itemLabel ?class ?classLabel ?image ?dependency ?dependencyLabel WHERE {
?item wdt:P1 ?dependency.
?item wdt:P2 ?class
OPTIONAL{ ?item wdt:P9 ?image.}
OPTIONAL{ ?class wdt:P9 ?image.}
SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en". }
} LIMIT 101
|caption=One hundred topics from the GraphIT dependency graph. Click below for the full dependency graph.
}}

[[FullGraph|Complete Dependency Graph]] containing all items on GraphIT.

Important: This platform is always work in progress. Please let us know if you find problems or find that important information is missing. Editing the graph is only allowed for registered users.

== Dive Right In ==

The following pages give a good overview of concepts and content within GraphIT.
If you want to learn more about the motivation and ideas behind the project, please read on below this block.

{| class="wikitable"
!colspan="2" | '''[[Quick_Overview]]'''
|-
| style="width:20%; vertical-align:top; text-align:left; padding: 10px" | This page gives you a quick overview of the project, its structure and how you can use it.
| <gallery mode="packed" heights="200px">
File:Graph-simple.png | Simple dependency between items
</gallery>
|-
|}

{| class="wikitable"
!colspan="2" | '''[[GraphStructure]]'''
|-
| style="width:20%; vertical-align:top; text-align:left; padding: 10px" | This page contains a detailed documentation of the graph structure and how it is used to organize the graph using diagrams and example queries.
| <gallery mode="packed" heights="200px">
File:Graph-structure.png | The base structure
File:Graph-structure-Course.png | Connection of courses
</gallery>
|-
|}

{| class="wikitable"
!colspan="2" | '''[[ExampleStudent]]'''
|-
| style="width:20%; vertical-align:top; text-align:left; padding: 10px" | This page show how to a student can use the graph to organize their curriculum and to view their personal usage of it.
| <gallery mode="packed" heights="200px">
File:Max-screenie.png | All items connected to Max
</gallery>
|-
|}

{| class="wikitable"
!colspan="2" | '''[[Student_Use]]'''
|-
| style="width:20%; vertical-align:top; text-align:left; padding: 10px" | This page can give you an overview over your own graph and linked items.
| <gallery mode="packed" heights="200px">
File:Max-screenie.png | All items connected to Max (example)
</gallery>
|-
|}

{| class="wikitable"
!colspan="2" | '''[[Courses/CGBV]]'''
|-
| style="width:20%; vertical-align:top; text-align:left; padding: 10px" | This page gives an overview and helpful queries over the course "Computergraphik und Bildverarbeitung", to show what the graph can do to give students an overview of the course of study, fundamentals usefull items and their prerequisites.
| <gallery mode="packed" heights="200px">
File:Degrees-screenie.png | The degrees of items
</gallery>
|-
|}

{| class="wikitable"
!colspan="2" | '''[[Quiz/CGBV-SL2]]'''
|-
| style="width:20%; vertical-align:top; text-align:left; padding: 10px" | This page gives an example on how coursework can be incorporated in and used by the graph
| <gallery mode="packed" heights="200px">
File:Coursework-screenie.png | Coursework and its prerequisites
</gallery>
|-
|}

{| class="wikitable"
!colspan="2" | '''[[Feature_Demo]]'''
|-
| style="width:20%; vertical-align:top; text-align:left; padding: 10px" | This page gives a couple of examples of what the graph can do.
| <gallery mode="packed" heights="200px">
File:Resources-screenie.png | Resources of an item
</gallery>
|-
|}

== Why GraphIT? ==
What should students learn? Which topics should be covered in a given course of study? These are difficult questions:

The more the knowledge of mankind grows, the more specialized the courses need to be that a university offers. Of course, specialized courses can no longer cover the same breadth of knowledge as classical courses of study. Therefore, we need to constantly redefine what the essential core of a subject is.

On the other hand, in a networked world, interdisciplinary courses of study are valuable. In these, we can no longer teach knowledge and competencies of the parent subjects in the same depth, but must redefine which of these are absolutely necessary for the study goal.

At the same time, students' prior knowledge is becoming more and more heterogeneous due to more open educational pathways and opportunities for digital learning. Also, their goals and opportunities differ a lot. A "one-size-fits-all" degree program will do less and less justice to these students. Instead, we need to find ways to support students in their individual learning goals and speeds while providing them with guidance, support, and education.

Our processes for developing curricula and courses no longer meet these complex and ever-changing demands. Manual labor and gut instinct still prevail in the organization of studies and the development of curricula.

== Basic Concept ==
In the GraphIT project, we develop a dependency graph of learning topics. Each node in the graph represents a ''learning topic'' (or ''topic'') . An edge in the graph indicates which further topics build on the current topic (i.e., depend on it).

Such a graph can structure the content of a single course, a curriculum, a discipline, a university, or the whole world (in theory :) ).

For any given topic, the necessary prerequisites can be retrieved from the graph. Linking open educational resources (OER) or examinations to the graph offers students a flexible tool for self-study and self-assessment.

== Applications ==
Envisioned applications:

'''Educators'''

* collect topics and build curricula and course syllabi
* identify central and irrelevant topics by looking at the graph
* attach OER and other resources to topics and re-use these
* create optimal paths through a curriculum, i.e. identify which topics should be taught in which order
* monitor students' progress and identify bottlenecks, i.e. topics where many students struggle
* ...

'''Students'''

* follow a pre-defined or custom path through a set of topics
* find out what the best path to learning a certain skill is
* track own achievements and compare to individual goals or others
* find new, interesting things one can learn with the knowledge one already has
* better understand the contents and study goals of a course or the curricula
* take part in developing applications using the graphs data
* compare existing knowledge and future interests to the offered curricula
* ...

(Do you have further suggestions? Please tell us via [https://discord.gg/vHDS6crnDj Discord] or [mailto:raphael.wimmer@ur.de email]!)

== Questions and Challenges ==
There are quite a few obvious and less obvious challenges and open questions. The goal of the GraphIT project is to explore these questions by implementing a prototype and evaluating it in practice.

* Can this concept really work?
* How large should a topic be in order to be both useful an manageable?
* Learning is more complex than just 'checking off' topics that one has learned. How do we include repetitions, different grades of learning (c.f. Bloom's taxonomy), or 'soft skills' in such a graph?
* How could one use this graph?
* Which tools are needed in order to efficiently work with a really large graph? (We are developing these at the moment)
* Can intelligent tools (AI!) help with managing, modifying, and updating a large graph?
* Which visualizations and aggregations of the graph are most helpful?
* How can people from different disciplines and institutions, and with different viewpoints collaborate within one large graph?
* Should there be one large graph or many small ones?
* How can we build a platform that is as open and flexible as possible while still maintaining consistency and protecting personal data?

== Status and Roadmap ==
As of '''May 2024''', we are actively using GraphIT in individual courses and building new tools for working with the data in the graph. We are also working on a paper about concept and implementation.

Previously, we discussed the concept with a few people, developed a prototype (also using Wikibase) that we scrapped again, and researched related projects, finalized our infrastructure, and built experimental graphs.

In May 2024, Raphael Wimmer gave a small presentation about GraphIT at the [https://www.youtube.com/watch?v=D46KCQNDMaM KI-Campus Tool Tip Tuesday] (YouTube, 35 minutes, German).

Since the start of 2025 we are actively planning to expand on this prototype with further requirements, data and frontends.

At [https://delfi-tagung.de/delfi-2025 DELFI 2025], our [https://epub.uni-regensburg.de/77674/1/paper-60.pdf demonstration of GraphIT] won the Best Demo Award.

== Timeline of the Graph ==
A short overview on how the graph and its data has developed over time
* '''Spring 2023''': brainstorming of initial graph structure based on a previous student project
* '''May 2023''': modeling the first course ([[Courses/CGBV|course]]) accordingly
* '''August 2023''': documenting the initial [[GraphStructure|graph structure]]
* '''October 2023''': modeling a second smaller course ([[Courses/WissenschaftlichesArbeiten|WissArb]]) and adjusting the data structure and link directions (''categories now link to items instead of items linking to categories'')
* '''December 2023''': attempt at modelling third course ([[Courses/Forschungsseminar_MMI|FS MMI]]), but not enough resources and lack of structured data
* '''January 2024''': modelling dummy version of full [[Medieninformatik_BA|curricula]] to show connections between courses
* '''March/April 2024''': update data for next iteration of [[Courses/CGBV_SS24|CGBV]] and [[Courses/Wissenschaftliches_Arbeiten_SS24|WissArb]]
* '''September/October 2024''': modelling two more courses ([[Courses/ASE_24WS|ASE]] and [[Courses/MMT_24WS|MMT]])
* '''February 2025''': change to data structure for courses (''stop linking to categories'')

== About / Contact ==
This is a project by the Physical Digital Affordances Group / Chair of Media Informatics at the University of Regensburg

'''Primary contact:''' Raphael Wimmer ([mailto:raphael.wimmer@ur.de email])

'''Current Contributors:'''
* [https://hci.ur.de/people/fabian_aleksic Fabian Aleksic]
* [https://hci.ur.de/people/ivan_dranyshov Ivan Dranyshov]
* Anna-Lena Hänse
* [https://go.ur.de/michael-achmann Michael Achmann-Denkler]

'''Past Contributors:'''
* Leonie Schrod
* Alexander Weichart

You can also find us on the [https://discord.gg/vHDS6crnDj GraphIT Discord server]

The project was supported by a [https://www.uni-regensburg.de/zentrum-hochschul-wissenschaftsdidaktik/freiraum/index.html#content_toggle_26218 small grant] from the Bavarian State Ministry for Science and the Arts via the [https://www.uni-regensburg.de/centre-for-university-and-academic-teaching/the-cuat/index.html Center for University and Academic Teaching (ZHW)] at the University of Regensburg.

File:Logo Stiftung Hochschullehre.jpg

2026-07-15T13:53:39Z

Chaichy:

The "sponsored by" badge of Stiftung Hochschullehre

Main Page

2026-07-15T13:45:42Z

Chaichy: updated team

{{DISPLAYTITLE:<span style="position: absolute; clip: rect(1px 1px 1px 1px); clip: rect(1px, 1px, 1px, 1px);">{{FULLPAGENAME}}</span>}}
__NOTOC__
== '''Welcome to GraphIT''' ==

This project at the University of Regensburg (UR) investigates how ''dependency graphs'' can be used to model courses, curricula, and personal learning progress. The initial focus lies on courses in higher education. This graph is built on [https://wikiba.se/ Wikibase], the knowledge-graph platform powering [https://wikidata.org Wikidata].

<div style="padding: 7px; background-color:#f0f5f5; border: solid 2px #b3cccc" >
Since May 2023 we have been using this prototype to explore and examine ways to structure such a graph, present its information and increase its usability. We've fully modelled four courses of the degree program for media informatics at the UR and tested them alongside lectures.
We've explored different experimental frontends and visualizations to make interaction with the data simpler and more efficient.

As of 2025, development on this first prototype has slowed due to other obligations. From April 2026 on, further development of GraphIT will be funded by a [https://stiftung-hochschullehre.de/foerderung/freiraum/ Freiraum] grant from the [https://stiftung-hochschullehre.de/ Stiftung Innovation in der Hochschullehre].
</div>

'''What is GraphIT?''' Raphael Wimmer presented the project at the KI-Campus ''Tool Tip Tuesday'' (May 2024, German):
<div style="text-align:center">
{{#widget:Video|videoId=D46KCQNDMaM}}
</div>

Here's a preview of the dependency graph currently in the prototype. Please scroll down to learn more about the project or explore the platform via the menu at the top.

{{#widget:SPARQLquery|code=
#defaultView:Graph
PREFIX wdt: <https://graphit.ur.de/prop/direct/>
SELECT ?item ?itemLabel ?class ?classLabel ?image ?dependency ?dependencyLabel WHERE {
?item wdt:P1 ?dependency.
?item wdt:P2 ?class
OPTIONAL{ ?item wdt:P9 ?image.}
OPTIONAL{ ?class wdt:P9 ?image.}
SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en". }
} LIMIT 101
|caption=One hundred topics from the GraphIT dependency graph. Click below for the full dependency graph.
}}

[[FullGraph|Complete Dependency Graph]] containing all items on GraphIT.

Important: This platform is always work in progress. Please let us know if you find problems or find that important information is missing. Editing the graph is only allowed for registered users.

== Dive Right In ==

The following pages give a good overview of concepts and content within GraphIT.
If you want to learn more about the motivation and ideas behind the project, please read on below this block.

{| class="wikitable"
!colspan="2" | '''[[Quick_Overview]]'''
|-
| style="width:20%; vertical-align:top; text-align:left; padding: 10px" | This page gives you a quick overview of the project, its structure and how you can use it.
| <gallery mode="packed" heights="200px">
File:Graph-simple.png | Simple dependency between items
</gallery>
|-
|}

{| class="wikitable"
!colspan="2" | '''[[GraphStructure]]'''
|-
| style="width:20%; vertical-align:top; text-align:left; padding: 10px" | This page contains a detailed documentation of the graph structure and how it is used to organize the graph using diagrams and example queries.
| <gallery mode="packed" heights="200px">
File:Graph-structure.png | The base structure
File:Graph-structure-Course.png | Connection of courses
</gallery>
|-
|}

{| class="wikitable"
!colspan="2" | '''[[ExampleStudent]]'''
|-
| style="width:20%; vertical-align:top; text-align:left; padding: 10px" | This page show how to a student can use the graph to organize their curriculum and to view their personal usage of it.
| <gallery mode="packed" heights="200px">
File:Max-screenie.png | All items connected to Max
</gallery>
|-
|}

{| class="wikitable"
!colspan="2" | '''[[Student_Use]]'''
|-
| style="width:20%; vertical-align:top; text-align:left; padding: 10px" | This page can give you an overview over your own graph and linked items.
| <gallery mode="packed" heights="200px">
File:Max-screenie.png | All items connected to Max (example)
</gallery>
|-
|}

{| class="wikitable"
!colspan="2" | '''[[Courses/CGBV]]'''
|-
| style="width:20%; vertical-align:top; text-align:left; padding: 10px" | This page gives an overview and helpful queries over the course "Computergraphik und Bildverarbeitung", to show what the graph can do to give students an overview of the course of study, fundamentals usefull items and their prerequisites.
| <gallery mode="packed" heights="200px">
File:Degrees-screenie.png | The degrees of items
</gallery>
|-
|}

{| class="wikitable"
!colspan="2" | '''[[Quiz/CGBV-SL2]]'''
|-
| style="width:20%; vertical-align:top; text-align:left; padding: 10px" | This page gives an example on how coursework can be incorporated in and used by the graph
| <gallery mode="packed" heights="200px">
File:Coursework-screenie.png | Coursework and its prerequisites
</gallery>
|-
|}

{| class="wikitable"
!colspan="2" | '''[[Feature_Demo]]'''
|-
| style="width:20%; vertical-align:top; text-align:left; padding: 10px" | This page gives a couple of examples of what the graph can do.
| <gallery mode="packed" heights="200px">
File:Resources-screenie.png | Resources of an item
</gallery>
|-
|}

== Why GraphIT? ==
What should students learn? Which topics should be covered in a given course of study? These are difficult questions:

The more the knowledge of mankind grows, the more specialized the courses need to be that a university offers. Of course, specialized courses can no longer cover the same breadth of knowledge as classical courses of study. Therefore, we need to constantly redefine what the essential core of a subject is.

On the other hand, in a networked world, interdisciplinary courses of study are valuable. In these, we can no longer teach knowledge and competencies of the parent subjects in the same depth, but must redefine which of these are absolutely necessary for the study goal.

At the same time, students' prior knowledge is becoming more and more heterogeneous due to more open educational pathways and opportunities for digital learning. Also, their goals and opportunities differ a lot. A "one-size-fits-all" degree program will do less and less justice to these students. Instead, we need to find ways to support students in their individual learning goals and speeds while providing them with guidance, support, and education.

Our processes for developing curricula and courses no longer meet these complex and ever-changing demands. Manual labor and gut instinct still prevail in the organization of studies and the development of curricula.

== Basic Concept ==
In the GraphIT project, we develop a dependency graph of learning topics. Each node in the graph represents a ''learning topic'' (or ''topic'') . An edge in the graph indicates which further topics build on the current topic (i.e., depend on it).

Such a graph can structure the content of a single course, a curriculum, a discipline, a university, or the whole world (in theory :) ).

For any given topic, the necessary prerequisites can be retrieved from the graph. Linking open educational resources (OER) or examinations to the graph offers students a flexible tool for self-study and self-assessment.

== Applications ==
Envisioned applications:

'''Educators'''

* collect topics and build curricula and course syllabi
* identify central and irrelevant topics by looking at the graph
* attach OER and other resources to topics and re-use these
* create optimal paths through a curriculum, i.e. identify which topics should be taught in which order
* monitor students' progress and identify bottlenecks, i.e. topics where many students struggle
* ...

'''Students'''

* follow a pre-defined or custom path through a set of topics
* find out what the best path to learning a certain skill is
* track own achievements and compare to individual goals or others
* find new, interesting things one can learn with the knowledge one already has
* better understand the contents and study goals of a course or the curricula
* take part in developing applications using the graphs data
* compare existing knowledge and future interests to the offered curricula
* ...

(Do you have further suggestions? Please tell us via [https://discord.gg/vHDS6crnDj Discord] or [mailto:raphael.wimmer@ur.de email]!)

== Questions and Challenges ==
There are quite a few obvious and less obvious challenges and open questions. The goal of the GraphIT project is to explore these questions by implementing a prototype and evaluating it in practice.

* Can this concept really work?
* How large should a topic be in order to be both useful an manageable?
* Learning is more complex than just 'checking off' topics that one has learned. How do we include repetitions, different grades of learning (c.f. Bloom's taxonomy), or 'soft skills' in such a graph?
* How could one use this graph?
* Which tools are needed in order to efficiently work with a really large graph? (We are developing these at the moment)
* Can intelligent tools (AI!) help with managing, modifying, and updating a large graph?
* Which visualizations and aggregations of the graph are most helpful?
* How can people from different disciplines and institutions, and with different viewpoints collaborate within one large graph?
* Should there be one large graph or many small ones?
* How can we build a platform that is as open and flexible as possible while still maintaining consistency and protecting personal data?

== Status and Roadmap ==
As of '''May 2024''', we are actively using GraphIT in individual courses and building new tools for working with the data in the graph. We are also working on a paper about concept and implementation.

Previously, we discussed the concept with a few people, developed a prototype (also using Wikibase) that we scrapped again, and researched related projects, finalized our infrastructure, and built experimental graphs.

In May 2024, Raphael Wimmer gave a small presentation about GraphIT at the [https://www.youtube.com/watch?v=D46KCQNDMaM KI-Campus Tool Tip Tuesday] (YouTube, 35 minutes, German).

Since the start of 2025 we are actively planning to expand on this prototype with further requirements, data and frontends.

At [https://delfi-tagung.de/delfi-2025 DELFI 2025], our [https://epub.uni-regensburg.de/77674/1/paper-60.pdf demonstration of GraphIT] won the Best Demo Award.

== Timeline of the Graph ==
A short overview on how the graph and its data has developed over time
* '''Spring 2023''': brainstorming of initial graph structure based on a previous student project
* '''May 2023''': modeling the first course ([[Courses/CGBV|course]]) accordingly
* '''August 2023''': documenting the initial [[GraphStructure|graph structure]]
* '''October 2023''': modeling a second smaller course ([[Courses/WissenschaftlichesArbeiten|WissArb]]) and adjusting the data structure and link directions (''categories now link to items instead of items linking to categories'')
* '''December 2023''': attempt at modelling third course ([[Courses/Forschungsseminar_MMI|FS MMI]]), but not enough resources and lack of structured data
* '''January 2024''': modelling dummy version of full [[Medieninformatik_BA|curricula]] to show connections between courses
* '''March/April 2024''': update data for next iteration of [[Courses/CGBV_SS24|CGBV]] and [[Courses/Wissenschaftliches_Arbeiten_SS24|WissArb]]
* '''September/October 2024''': modelling two more courses ([[Courses/ASE_24WS|ASE]] and [[Courses/MMT_24WS|MMT]])
* '''February 2025''': change to data structure for courses (''stop linking to categories'')

== About / Contact ==
This is a project by the Physical Digital Affordances Group / Chair of Media Informatics at the University of Regensburg

'''Primary contact:''' Raphael Wimmer ([mailto:raphael.wimmer@ur.de email])

'''Current Contributors:'''
* [https://hci.ur.de/people/fabian_aleksic Fabian Aleksic]
* [https://hci.ur.de/people/ivan_dranyshov Ivan Dranyshov]
* Anna-Lena Hänse
* [https://go.ur.de/michael-achmann Michael Achmann-Denkler]

'''Past Contributors:'''
* Leonie Schrod
* Alexander Weichart

You can also find us on the [https://discord.gg/vHDS6crnDj GraphIT Discord server]

The project was supported by a [https://www.uni-regensburg.de/zentrum-hochschul-wissenschaftsdidaktik/freiraum/index.html#content_toggle_26218 small grant] from the Bavarian State Ministry for Science and the Arts via the [https://www.uni-regensburg.de/centre-for-university-and-academic-teaching/the-cuat/index.html Center for University and Academic Teaching (ZHW)] at the University of Regensburg.

Project:Team Portal

2026-05-18T14:11:32Z

Chaichy: Added Naming Conventions Link

This page provides a centralized collection of internal links and resources relevant to the team. It is intended as a lightweight entry point for navigating documentation, tools, and project-specific materials.

=== Project ===

* [[Project:Publication Venues]]
* [[Project:Specification]]
* [[Project:Graphit Alpha]]
* [[Project:GraphIT Beta]]
* [[Project:Naming Conventions]]
* [[Main Page]]
* [[Quick Overview]]

=== Modeling / Graph ===

* [[GraphStructure]]
* [[Graph Statistics]]
* [[FullGraph]]
* [[DebugQueries]]
* [[SPARQL examples]]
* [[CourseQueries]]
* [[Feature Demo]]
* [[Demo 2025]]

=== Backend / Mediawiki ===

* [[Sandbox]]
* [[PresentationPics]]
* [[ExampleStudent]]

=== In Development ===

* [[Courses/ASE]]
* [[Courses/ASE 24WS]]
* [[Courses/EIMI 25WS/Queries]]
* [[Courses/Wissenschaftliches Arbeiten SS24/Graph]]
* [[Courses/CGBV SS24/Graph]]

=== Courses ===

* [[Courses/WissenschaftlichesArbeiten]]
* [[Courses/WissenschaftlichesArbeiten/Ideensammlung]]
* [[Courses/Wissenschaftliches Arbeiten SS24]]
* [[Courses/CGBV Sommersemester 2023]]
* [[Courses/CGBV SS24]]
* [[Courses/Forschungsseminar MMI]]
* [[Courses/MMT 24WS]]
* [[Courses/MMT 25WS]]
* [[Courses/EIMI 25WS]]
* [[Courses/EIMI 25WS/Student Page]]
* [[Courses/PropPä SS26]]
* [[Courses/HCI 26SS]]
* [[Student Use]]
* [[Medieninformatik BA]]
* [[Medieninformatik Msc]]

=== Quiz ===

* [[Quiz/CGBV-SL1]]
* [[Quiz/CGBV-SL2]]
* [[Quiz/CGBV-SL3]]
* [[Quiz/CGBV-SL4]]
* [[Quiz/Bresenham 1]]
* [[Quiz/KlausurSS23]]

=== Templates ===

* [[Template:SPARQL]]
* [[Template:SPARQL2]]
* [[Template:SPARQLText]]
* [[Template:CourseQuery]]
* [[Template:FullGraph]]
* [[Template:Progress Graph]]
* [[Template:Learning Path]]
* [[Template:Learning Path2]]
* [[Template:Timeline]]
* [[Template:TablePreview]]
* [[Template:CodeBlock]]
* [[Template:QA]]
* [[Template:Note]]
* [[Template:Map Dropdown]]
* [[Template:SignUp]]
* [[Template:Userpage]]
* [[Template:ItemOrNot]]
* [[Template:If]]
* [[Template:Documentation]]

=== Other / Misc ===

* [[Tool Tip Tuesday]]
* [[Downtown]]

This page is continuously updated and should be extended as new resources become available.

Project:Naming Conventions

2026-05-18T13:56:29Z

Chaichy: Created first version of naming convention page

This page documents the naming conventions used in the project. When in doubt, follow [[wikipedia:Wikipedia:Manual_of_Style|Wikipedia's Manual of Style]].

== Labels ==

Labels use '''sentence case''' in English (following English grammar rules) and '''capitalised nouns''' in German (following German grammar rules).

Item and category labels follow these patterns:

* '''<code><Begriff></code>''' — Student can define the term and describe the concept.
* '''<code>Overview of <Begriff></code>''' — Student can name, describe, and classify individual parts of the concept.
* '''<code>Using <Begriff></code>''' — Student can apply the concept in practice.

=== Examples ===

{| class="wikitable"
! Type !! Label !! Description !! Category
|-
| Topic || <code>Human-Computer Interaction</code> || A field of research and practice focusing on the interaction between humans and computers. || <code>Human-Computer Interaction</code>
|-
| Topic || <code>Conducting an HCI Experiment</code> || Knowledge and practice in designing, running, and analyzing experiments. ||
|-
| Category || <code>Human-Computer Interaction</code> || Category: Human-Computer Interaction. ||
|}

== Sessions ==

Session labels follow the pattern '''[Session title], [Abbreviation] [Semester]''', and aliases follow '''[Abbreviation] [Semester] - [YYYY-MM-DD]''' ([[wikipedia:ISO_8601|ISO 8601]]).

{{Note|text="The course abbreviation is appended as a suffix so that generic titles like "Introduction and Overview" remain unambiguous across courses."}}

'''Label examples:'''
* <code>Introduction and Overview, EIMI 26SS</code>
* <code>Studies and Experiments, HCI 26SS</code>
* <code>Intro, ProPä 26SS</code>

'''Alias examples:'''
* <code>EIMI 26SS - 2026-04-17</code>
* <code>HCI 26SS - 2026-06-24</code>

The semester is formatted as <code>[YY][SS/WS]</code> (e.g. <code>26SS</code>, <code>25WS</code>). Do '''not''' use the full course title from the course catalogue as the session title. Mind capitalisation — e.g. <code>LLMs in research</code>, not <code>Llms in research</code>.

'''Course abbreviations:'''

{| class="wikitable"
! Course !! Abbreviation
|-
| Propädeutikum || <code>ProPä</code>
|-
| Einführung in die Medieninformatik || <code>EIMI</code>
|-
| Human-Computer Interaction || <code>HCI</code>
|-
| ''...'' || <code>''...''</code>
|}

Project:Team Portal

2026-05-07T12:53:12Z

Chaichy: added templates

This page provides a centralized collection of internal links and resources relevant to the team. It is intended as a lightweight entry point for navigating documentation, tools, and project-specific materials.

=== Project ===

* [[Project:Publication Venues]]
* [[Project:Specification]]
* [[Project:Graphit Alpha]]
* [[Project:GraphIT Beta]]
* [[Main Page]]
* [[Quick Overview]]

=== Modeling / Graph ===

* [[GraphStructure]]
* [[Graph Statistics]]
* [[FullGraph]]
* [[DebugQueries]]
* [[SPARQL examples]]
* [[CourseQueries]]
* [[Feature Demo]]
* [[Demo 2025]]

=== Backend / Mediawiki ===

* [[Sandbox]]
* [[PresentationPics]]
* [[ExampleStudent]]

=== In Development ===

* [[Courses/ASE]]
* [[Courses/ASE 24WS]]
* [[Courses/EIMI 25WS/Queries]]
* [[Courses/Wissenschaftliches Arbeiten SS24/Graph]]
* [[Courses/CGBV SS24/Graph]]

=== Courses ===

* [[Courses/WissenschaftlichesArbeiten]]
* [[Courses/WissenschaftlichesArbeiten/Ideensammlung]]
* [[Courses/Wissenschaftliches Arbeiten SS24]]
* [[Courses/CGBV Sommersemester 2023]]
* [[Courses/CGBV SS24]]
* [[Courses/Forschungsseminar MMI]]
* [[Courses/MMT 24WS]]
* [[Courses/MMT 25WS]]
* [[Courses/EIMI 25WS]]
* [[Courses/EIMI 25WS/Student Page]]
* [[Courses/PropPä SS26]]
* [[Courses/HCI 26SS]]
* [[Student Use]]
* [[Medieninformatik BA]]
* [[Medieninformatik Msc]]

=== Quiz ===

* [[Quiz/CGBV-SL1]]
* [[Quiz/CGBV-SL2]]
* [[Quiz/CGBV-SL3]]
* [[Quiz/CGBV-SL4]]
* [[Quiz/Bresenham 1]]
* [[Quiz/KlausurSS23]]

=== Templates ===

* [[Template:SPARQL]]
* [[Template:SPARQL2]]
* [[Template:SPARQLText]]
* [[Template:CourseQuery]]
* [[Template:FullGraph]]
* [[Template:Progress Graph]]
* [[Template:Learning Path]]
* [[Template:Learning Path2]]
* [[Template:Timeline]]
* [[Template:TablePreview]]
* [[Template:CodeBlock]]
* [[Template:QA]]
* [[Template:Note]]
* [[Template:Map Dropdown]]
* [[Template:SignUp]]
* [[Template:Userpage]]
* [[Template:ItemOrNot]]
* [[Template:If]]
* [[Template:Documentation]]

=== Other / Misc ===

* [[Tool Tip Tuesday]]
* [[Downtown]]

This page is continuously updated and should be extended as new resources become available.

Project:Team Portal

2026-05-07T12:33:51Z

Chaichy: Added new pages via Search.

This page provides a centralized collection of internal links and resources relevant to the team. It is intended as a lightweight entry point for navigating documentation, tools, and project-specific materials.

=== Project ===

* [[Project:Publication Venues]]
* [[Project:Specification]]
* [[Project:Graphit Alpha]]
* [[Project:GraphIT Beta]]
* [[Main Page]]
* [[Quick Overview]]

=== Modeling / Graph ===

* [[GraphStructure]]
* [[Graph Statistics]]
* [[FullGraph]]
* [[DebugQueries]]
* [[SPARQL examples]]
* [[CourseQueries]]
* [[Feature Demo]]
* [[Demo 2025]]

=== Backend / Mediawiki ===

* [[Sandbox]]
* [[PresentationPics]]
* [[ExampleStudent]]

=== In Development ===

* [[Courses/ASE]]
* [[Courses/ASE 24WS]]
* [[Courses/EIMI 25WS/Queries]]
* [[Courses/Wissenschaftliches Arbeiten SS24/Graph]]
* [[Courses/CGBV SS24/Graph]]

=== Courses ===

* [[Courses/WissenschaftlichesArbeiten]]
* [[Courses/WissenschaftlichesArbeiten/Ideensammlung]]
* [[Courses/Wissenschaftliches Arbeiten SS24]]
* [[Courses/CGBV Sommersemester 2023]]
* [[Courses/CGBV SS24]]
* [[Courses/Forschungsseminar MMI]]
* [[Courses/MMT 24WS]]
* [[Courses/MMT 25WS]]
* [[Courses/EIMI 25WS]]
* [[Courses/EIMI 25WS/Student Page]]
* [[Courses/PropPä SS26]]
* [[Courses/HCI 26SS]]
* [[Student Use]]
* [[Medieninformatik BA]]
* [[Medieninformatik Msc]]

=== Quiz ===

* [[Quiz/CGBV-SL1]]
* [[Quiz/CGBV-SL2]]
* [[Quiz/CGBV-SL3]]
* [[Quiz/CGBV-SL4]]
* [[Quiz/Bresenham 1]]
* [[Quiz/KlausurSS23]]

=== Other / Misc ===

* [[Tool Tip Tuesday]]
* [[Downtown]]

=== For Sorting ===

*

This page is continuously updated and should be extended as new resources become available.

Project:Team Portal

2026-05-04T11:08:23Z

Chaichy: Added pages from namespace.

Publication Venues

2026-05-04T11:06:55Z

Chaichy: Moved page to project namespace

#REDIRECT [[Project:Publication Venues]]

Project:Publication Venues

2026-05-04T11:06:24Z

Chaichy: Moved page to project namespace

This page lists relevant journals and conferences for potential publication and dissemination.

=== Conferences ===

==== Learning Analytics and Knowledge Conference (LAK) ====
''April / May 2026'' <br>
The Society for Learning Analytics Research (SoLAR) is an interdisciplinary network of leading international researchers exploring the role and impact of analytics on teaching, learning, training, and development. <br>
→ [https://www.solaresearch.org/events/lak/lak26/ Website]

==== Educational Data Mining (EDM) ====
''June / July 2026'' <br>
Educational Data Mining has reached a stage where methods and findings are relevant across multiple areas of research and practice. Many challenges in learning and teaching require crossing disciplinary, contextual, and cultural boundaries. EDM 2026 emphasizes opportunities emerging from such connections. <br>
→ [https://educationaldatamining.org/edm2026/ Website]

==== DELFI ====
''September 2026'' <br>
Die DELFI beschäftigt sich mit Informatik-Aspekten des Einsatzes digitaler Medien und Technologien in der Bildung. Gestaltungsorientierte Forschung bildet den Kern der präsentierten Arbeiten, ergänzt durch experimentelle, beobachtende und theoriebildende Ansätze. <br>
→ [https://delfi-tagung.de/2026 Website]

==== Jahrestagung der Deutschen Gesellschaft für Hochschuldidaktik (dghd) ====
''March 2025'' <br>
Tagung unter dem Thema „Schlüsselkompetenzen und Hochschuldidaktik: Bausteine für eine transformative Hochschullehre“ mit Fokus auf strukturelle Rahmenbedingungen und Kompetenzen für nachhaltige Lehr-Lernkontexte. <br>
→ [https://www.dghd.de/events/jahrestagung-der-deutschen-gesellschaft-fur-hochschuldidaktik-dghd-2025/ Website]

==== Innovation and Technology in Computer Science Education (ITiCSE) ====
''July 2026'' <br>
Premier and largest computing education conference in Europe, held annually since 1996. <br>
→ [https://iticse.acm.org/ Website]

==== Koli Calling ====
''November 2026'' '''CFP deadline: 12 July''' <br>
International conference on computing education research combining teaching practice with theoretically grounded research. Known for its single-track format and intensive discussions. <br>
→ [https://www.kolicalling.fi Website]

=== Other Candidates ===
* EDUCAUSE
* EC-TEL
* MuC

Team Portal

2026-05-04T11:05:44Z

Chaichy: Moved page to project namespace.

#REDIRECT [[Project:Team Portal]]

Project:Team Portal

2026-05-04T11:04:32Z

Chaichy: Moved page to project namespace.

Publication Venues

2026-05-04T08:50:40Z

Chaichy: Added more conferences

== Publication Venues ==
This page lists relevant journals and conferences for potential publication and dissemination.

=== Conferences ===

==== Learning Analytics and Knowledge Conference (LAK) ====
''April / May 2026'' <br>
The Society for Learning Analytics Research (SoLAR) is an interdisciplinary network of leading international researchers exploring the role and impact of analytics on teaching, learning, training, and development. <br>
→ [https://www.solaresearch.org/events/lak/lak26/ Website]

==== Educational Data Mining (EDM) ====
''June / July 2026'' <br>
Educational Data Mining has reached a stage where methods and findings are relevant across multiple areas of research and practice. Many challenges in learning and teaching require crossing disciplinary, contextual, and cultural boundaries. EDM 2026 emphasizes opportunities emerging from such connections. <br>
→ [https://educationaldatamining.org/edm2026/ Website]

==== DELFI ====
''September 2026'' <br>
Die DELFI beschäftigt sich mit Informatik-Aspekten des Einsatzes digitaler Medien und Technologien in der Bildung. Gestaltungsorientierte Forschung bildet den Kern der präsentierten Arbeiten, ergänzt durch experimentelle, beobachtende und theoriebildende Ansätze. <br>
→ [https://delfi-tagung.de/2026 Website]

==== Jahrestagung der Deutschen Gesellschaft für Hochschuldidaktik (dghd) ====
''March 2025'' <br>
Tagung unter dem Thema „Schlüsselkompetenzen und Hochschuldidaktik: Bausteine für eine transformative Hochschullehre“ mit Fokus auf strukturelle Rahmenbedingungen und Kompetenzen für nachhaltige Lehr-Lernkontexte. <br>
→ [https://www.dghd.de/events/jahrestagung-der-deutschen-gesellschaft-fur-hochschuldidaktik-dghd-2025/ Website]

==== Innovation and Technology in Computer Science Education (ITiCSE) ====
''July 2026'' <br>
Premier and largest computing education conference in Europe, held annually since 1996. <br>
→ [https://iticse.acm.org/ Website]

==== Koli Calling ====
''November 2026'' '''CFP deadline: 12 July''' <br>
International conference on computing education research combining teaching practice with theoretically grounded research. Known for its single-track format and intensive discussions. <br>
→ [https://www.kolicalling.fi Website]

=== Other Candidates ===
* EDUCAUSE
* EC-TEL
* MuC

Publication Venues

2026-05-04T08:34:26Z

Chaichy: Created Page with first entries.

== Publication Venues ==

This page lists relevant journals and conferences for potential publication and dissemination. It serves as a reference for identifying suitable outlets based on thematic fit, scope, and timelines.

=== Conferences ===

==== Learning Analytics and Knowledge Conference ====
''April / May 2026''
The Society for Learning Analytics Research (SoLAR) is an interdisciplinary network of leading international researchers who are exploring the role and impact of analytics on teaching, learning, training and development.
[https://www.solaresearch.org/events/lak/lak26/ Website]

==== Educational Data Mining (EDM) ====
''June / July 2026''
Educational Data Mining has reached a stage where methods and findings are relevant across multiple areas of research and practice. Many of the challenges in learning and teaching cannot be addressed from a single perspective, and solutions are strengthened by crossing disciplinary, contextual, and cultural boundaries. EDM 2026 emphasizes the opportunities that emerge through building connections across disciplines, contexts, geographies, cultures, and societies.
[https://educationaldatamining.org/edm2026/ Website]

Team Portal

2026-05-04T08:33:27Z

Chaichy: Added first link

This page provides a centralized collection of internal links and resources relevant to the team. It is intended as a lightweight entry point for navigating documentation, tools, and project-specific materials.

=== Project ===
* [[Publication Venues]]

=== Modeling / Graph ===
*

=== Backend / Mediawiki ===
*

=== Development ===
*

=== Other / Misc ===
*

This page is continuously updated and should be extended as new resources become available.

Team Portal

2026-05-04T08:31:58Z

Chaichy: Created overview page

This page provides a centralized collection of internal links and resources relevant to the team. It is intended as a lightweight entry point for navigating documentation, tools, and project-specific materials.

=== Modeling / Graph ===
*

=== Backend / Mediawiki ===
*

=== Development ===
*

=== Other / Misc ===
*

This page is continuously updated and should be extended as new resources become available.

Item:Q2871

2026-04-17T13:43:30Z

Chaichy: /* wbremoveclaims-remove:1| */ Property:P14: Item:Q2875

Item:Q2867

2026-04-17T13:43:25Z

Chaichy: /* wbsetclaim-create:2||1 */ Property:P14: Item:Q2875

Item:Q2871

2026-04-17T13:41:33Z

Chaichy: /* wbsetclaim-create:2||1 */ Property:P14: Item:Q2875

Item:Q2875

2026-04-17T13:37:51Z

Chaichy: /* wbsetclaim-create:2||1 */ Property:P14: Item:Q2878

Item:Q2878

2026-04-17T13:37:44Z

Chaichy: /* wbeditentity-create:2|en */ Summarization, Reducing texts to their core arguments and findings in a reusable form.

Item:Q2875

2026-04-17T13:37:08Z

Chaichy: /* wbsetclaim-create:2||1 */ Property:P14: Item:Q2877

Item:Q2877

2026-04-17T13:36:59Z

Chaichy: /* wbeditentity-create:2|en */ Annotation and Note-Taking, Marking and structuring key information through highlighting, marginal notes, and excerpts.

Item:Q2875

2026-04-17T13:21:45Z

Chaichy: /* wbsetclaim-create:2||1 */ Property:P14: Item:Q2876

Item:Q2876

2026-04-17T13:21:30Z

Chaichy: /* wbeditentity-create:2|en */ Skimming, Rapid assessment of a text’s relevance based on key sections such as abstract, introduction, and conclusion.

Item:Q2875

2026-04-17T13:20:47Z

Chaichy: /* wbsetclaim-create:2||1 */ Property:P3: Item:Q169

Item:Q2875

2026-04-17T13:20:23Z

Chaichy: /* wbeditentity-create:2|en */ Advice for Reading Scientific Literature, Strategies for efficiently engaging with academic texts.

Item:Q2871

2026-04-17T13:18:36Z

Chaichy: /* wbsetclaim-create:2||1 */ Property:P14: Item:Q2874

Item:Q2871

2026-04-17T13:18:11Z

Chaichy: /* wbsetclaim-create:2||1 */ Property:P14: Item:Q2873

Item:Q2874

2026-04-17T13:17:40Z

Chaichy: /* wbeditentity-create:2|en */ Quality Criteria of Scientific Literature, Criteria for evaluating academic work, including validity, reliability, and scholarly relevance

Item:Q2873

2026-04-17T13:17:14Z

Chaichy: /* wbeditentity-create:2|en */ Structure of Scientific Publications, Typical components and organization of academic texts, such as abstracts, introductions, methods, results, and discussions

Item:Q2871

2026-04-17T13:16:56Z

Chaichy: /* wbsetclaim-create:2||1 */ Property:P14: Item:Q2872

Item:Q2872

2026-04-17T13:16:32Z

Chaichy: /* wbeditentity-create:2|en */ Reading Scientific Literature, How to systematically read and understand academic texts, including strategies for efficient and critical engagement.

Item:Q2867

2026-04-17T13:15:45Z

Chaichy: /* wbremoveclaims-remove:1| */ Property:P14: Item:Q476

Item:Q2867

2026-04-17T13:15:39Z

Chaichy: /* wbsetclaim-create:2||1 */ Property:P14: Item:Q2871

Item:Q2871

2026-04-17T13:15:28Z

Chaichy: /* wbsetclaim-create:2||1 */ Property:P3: Item:Q169

Item:Q2871

2026-04-17T13:15:16Z

Chaichy: /* wbeditentity-create:2|en */ Scientific Literature, Scientific literature, including how to read academic texts, how they are structured, and how their quality can be assessed.

Item:Q2856

2026-04-17T13:13:58Z

Chaichy: /* wbsetclaim-create:2||1 */ Property:P14: Item:Q2867

Item:Q2867

2026-04-17T13:13:34Z

Chaichy: /* wbsetclaim-create:2||1 */ Property:P14: Item:Q2868

Item:Q2868

2026-04-17T13:11:44Z

Chaichy: /* wbsetclaim-create:2||1 */ Property:P14: Item:Q2870

Item:Q2870

2026-04-17T13:11:24Z

Chaichy: /* wbeditentity-create:2|en */ Behavioural Science, Research paradigm focused on explaining and predicting human behavior through empirical observation and analysis.

Item:Q2868

2026-04-17T13:11:01Z

Chaichy: /* wbsetclaim-create:2||1 */ Property:P14: Item:Q2869

Item:Q2868

2026-04-17T13:10:48Z

Chaichy: /* wbsetclaim-create:2||1 */ Property:P3: Item:Q169

Item:Q2869

2026-04-17T13:10:28Z

Chaichy: /* wbeditentity-create:2|en */ Design Science Research, Research paradigm focused on designing, building, and evaluating artifacts to solve practical problems and generate knowledge.

Item:Q2868

2026-04-17T13:09:51Z

Chaichy: /* wbsetlabel-add:1|de */ Medieninformatik als Wissenschaft

Item:Q2868

2026-04-17T13:09:25Z

Chaichy: /* wbeditentity-create:2|en */ Media Informatics as an Academic Discipline, Media informatics as an academic discipline, including core research paradigms

Item:Q2867

2026-04-17T13:05:22Z

Chaichy: /* wbsetclaim-create:2||1 */ Property:P14: Item:Q476