Projektwochen: Data Design Studio for AI-Powered EdTech

What it is about

You design and test data flows for AI-enabled educational software. In the end you will be able to develop and prototypically implement data collection and analysis concepts that correspond to real educational problems.

What you will be able to do

Analyze educational problems based on case studies
Align educational tools with relevant learning theories
Know various primary data sources and their limitations
Design and critique data flows for EdTech
Apply mixed-methods templates for information gathering

What the module consists of

Project workIndependent selection of a problem and development of a data-flow prototype
Seminar/PresentationResults presentation and discussion (15–20 minutes)

Teaching method

Project-based/participatoryFosters practice-oriented learning and application of concepts
Instructor feedback and complementary readingSupports students in different project phases

Dates

SeminarProjectWeeks: Data Design Studio for AI-Powered EdTech3 groups to choose from

AThu09:00–17:00127, CIP-Pool (2907.01.127)once on 14.01.
BFri09:00–17:00127, CIP-Pool (2907.01.127)once on 15.01.
CWed13:00–17:00127, CIP-Pool (2907.01.127)once on 13.01.

LectureProjectWeeks: Data Design Studio for AI-Powered EdTech3 groups to choose from

ATue09:00–17:00127, CIP-Pool (2907.01.127)once on 12.01.
BWed09:00–13:00127, CIP-Pool (2907.01.127)once on 13.01.
CMon10:00–17:00127, CIP-Pool (2907.01.127)once on 11.01.

From the current semester, not binding. You attend one of several groups; the timetable automatically suggests the one with the fewest clashes.

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