GraphIT - User contributions [en]

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

Item:Q2867

2026-04-17T13:05:08Z

Chaichy: /* wbsetclaim-create:2||1 */ Property:P3: Item:Q427

Item:Q2867

2026-04-17T13:04:53Z

Chaichy: /* wbsetclaim-create:2||1 */ Property:P19: 24 April 2026