392114 Tutorials: Intelligent Tutoring Systems (Ü) (WiSe 2024/2025)

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Intelligent tutoring systems are intended to help students in learning skills by selecting the individually best fitting next learning task ('outer loop') and supporting the student within each task with feedback and hints ('inner loop'). An intelligent tutoring system has four crucial components:

  • a domain model, formalizing all skills that should be learned, all existing learning tasks, and the connections between skills and tasks
  • a learner model, estimating the amount of skill each student has already learned
  • a pedagogical model, deciding on the best pedagogical action given learner model and domain model
  • a user interface.

The seminar will cover pedagogical theory, architectures, and strategies for intelligent tutoring systems and discuss foundational works in the field.

In the exercises, students will learn to implement intelligent tutoring systems (as web pages with frontend and backend).

Requirements for participation, required level

Recommended prior knowledge:

  • Introduction to Machine Learning OR Introduction to Data Mining
  • Software Engineering
  • Programming Knowledge in Python & HTML & Javascript

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Subject assignments

Module Course Requirements  
39-Inf-WP-CIT Kognitive Interaktionstechnologie (Basis) Begleitende Übungen Student information
39-Inf-WP-CIT-x Kognitive Interaktionstechnologie (Schwerpunkt) Begleitende Veranstaltung Seminar o. Übung Student information
39-Inf-WP-MTI Mensch-Technik-Interaktion (Basis) Begleitende Übungen Student information
39-M-Inf-INT-app Applied Interaction Technology Applied Interaction Technology: Übung Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.

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Registered number: 9
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WS2024_392114@ekvv.uni-bielefeld.de
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9 Students to be reached directly via email
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Last update basic details/teaching staff:
Monday, June 10, 2024 
Last update times:
Monday, October 21, 2024 
Last update rooms:
Monday, October 21, 2024 
Type(s) / SWS (hours per week per semester)
exercise (Ü) / 2
Language
This lecture is taught in english
Department
Faculty of Technology
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476615285