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Projektwochen: Data Design Studio for AI-Powered EdTech

SOT10082Überfachliche Ergänzung3 ECTSEnglishwinter semesterDepartment Educational Sciences
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

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.

Show TUMonline data
Sprache
Englisch
Turnus
Wintersemester
Modulniveau
Bachelor/Master
Moduldauer
Einsemestrig
Gesamtstunden
120
Präsenzstunden
35
Eigenstudiumstunden
85
Organisationsname
Department Educational Sciences

Courses

  • Projektwochen: Data Design Studio for AI-Powered EdTech
  • Projektwochen: Data Design Studio for AI-Powered EdTech (Lecture)
  • Projektwochen: Data Design Studio for AI-Powered EdTech (Seminar)

Official page in TUMonline · Details are not binding.