Demos: Difference between revisions
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= Adaptive Learning = | = Adaptive Learning = | ||
== ModuLearn == | |||
{| | |||
| valign="top" | [[Image:PAWS_logo.png|thumb|left|'''150'''|Replace with a screenshot from the video]] | |||
| valign="top" | ModuLearn is an open-source eLearning platform and smart-learning content dashboard for organizing, delivering, and studying interactive educational modules across an open learning ecosystem. Developed alongside the broader SPLICE infrastructure, ModuLearn supports reusable course structures, configurable course sessions, smart-content launch flows, role-specific student and instructor workspaces, and research-oriented study workflows. Its roadmap emphasizes flexible integration with multiple Learning Management Systems through standards-based and platform-specific connectors, while preserving a modular architecture for analytics, adaptive sequencing, content replacement, and experimental learning interventions. | |||
'''Authors:''' Quinn K. Wolter · '''Year:''' 2026 | |||
* [https://youtu.be/REPLACE_WITH_VIDEO_ID Watch demo] | |||
* Related system: [[ModuLearn]] | |||
|} | |||
== Example demo title == | == Example demo title == | ||
Revision as of 02:33, 30 July 2026
Video demos of PAWS Lab systems and research projects, organized by group. Slide-based demos should be added to the associated Systems page rather than here.
To add a new demo, copy an existing block below and fill in the details. Each demo needs: a video link (YouTube, Vimeo, or hosted file), a short description, author(s), and optionally a thumbnail image.
Adaptive Learning
ModuLearn
 |
ModuLearn is an open-source eLearning platform and smart-learning content dashboard for organizing, delivering, and studying interactive educational modules across an open learning ecosystem. Developed alongside the broader SPLICE infrastructure, ModuLearn supports reusable course structures, configurable course sessions, smart-content launch flows, role-specific student and instructor workspaces, and research-oriented study workflows. Its roadmap emphasizes flexible integration with multiple Learning Management Systems through standards-based and platform-specific connectors, while preserving a modular architecture for analytics, adaptive sequencing, content replacement, and experimental learning interventions.
Authors: Quinn K. Wolter · Year: 2026
|
Example demo title
|
Short description of what the demo shows. 2-3 sentences works well. Include the context (course used in, target audience, or research question being explored).
Authors: Author name(s) · Year: 2025
|
Another demo
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Another placeholder description. Replace with real content.
Authors: Someone Else · Year: 2024 |
Recommender Systems
Placeholder demo
|
Placeholder description. Replace with real content when a demo is added.
Authors: TBD · Year: TBD |
Social Information Access
No demos in this group yet. Copy a block from another section to add one.
Intelligent Textbooks
No demos in this group yet.
Adaptive Information Retrieval
No demos in this group yet.