Learning in the Wild: An Introduction to the Learning Sciences and CSCL

What it is about

You will learn the fundamentals of Learning Sciences and computer-supported collaborative learning (CSCL). You will engage with historical origins, current debates, and the role of technology in joint learning, and you will gain initial practical experience through student projects and exchange with experts.

What you will be able to do

Get to know the fundamentals, main debates, and core ideas of Learning Sciences
Get to know the fundamentals, main debates, and core ideas of CSCL
Identify international networks, institutions, and approaches in Learning Sciences and CSCL
Analyze research strands and develop ideas for future research
Engage with the community through openly published learning documentation

What the module consists of

LectureIntroduction to concepts, theories and debates
Self-directed small-group activitiesPractice-oriented development and iteration of questions
PresentationsPresentation of one's own work and exchange in the course
Independent readingDeepening of content and preparation for tasks

Teaching method

LecturesConveying fundamentals and research insights
Self-directed small group activities (iterative)Enable autonomous, collaborative practice and experimentation
PresentationsTraining the presentation and reflection of one's own results
Independent readingsDeepening and contextualization of the topics

What you should already know

recommended

Assessment

Written examPortfolioPresentation

The module assessment consists of three parts: 1) A written report (approx. 5 pages) on the fundamentals of Learning Sciences and CSCL on a topic of your choice; weighting 40%. 2) A portfolio documenting 3–5 small-group activities (e.g., concept map, network representation, blog post or visual artifact); weighting 40%. 3) A short student presentation during the course; weighting 20%. In grading, the clarity of the oral and visual presentation as well as the distribution of work are especially important. Students may use digital tools to improve the structure and grammar of their report.

Reading list

Kolodner - The learning sciences: Past, present, future
Fischer, Hmelo-Silver, Goldman & Reimann (Eds.) - International handbook of the learning sciences (Excerpts)
Fischer, Sommerhoff & Keune - Perspectives on learning from the learning sciences
Oezsoy et al. - Are We Still Teaching the Same Learning Sciences? (ICLS 2025)
Cress, Rosé, Wise & Oshima (Eds.) - International handbook of computer-supported collaborative learning (Excerpts)
Wise, Rosé & Järvelä - Nine elements for robust collaborative learning analytics
Cress & Kimmerle - Co-constructing knowledge with generative AI tools: Reflections from a CSCL perspective
Järvelä & Rosé - Reflecting on what counts as collaboration
Järvelä et al. - Exploring Human-Ai Interactions Across Various Learning Tasks (CSCL 2025)

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Learning in the Wild: An Introduction to the Learning Sciences and CSCL

What it is about

What you will be able to do

What the module consists of

Teaching method

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