FI:IV127 Lab Proj. – Adapt. Learning

IV127 Lab Project – Adaptive Learning

Faculty of Informatics
Spring 2026

Extent and Intensity

0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
In-person direct teaching

Teacher(s)

doc. Mgr. Radek Pelánek, Ph.D. (lecturer)

Guaranteed by

Prerequisites

PROGRAM(N-UIZD) || PROGRAM(D-INF) || SOUHLAS
The course is taught in Czech as the data sources used for analysis are in Czech.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.

fields of study / plans the course is directly associated with

there are 38 fields of study the course is directly associated with, display

Course objectives

Students gain experience with data analysis and machine learning in the context of educational applications.

Learning outcomes

At the end of the course, students will be able to apply methods of data analysis and machine learning in the area of educational applications.

Syllabus

Analysis of data from educational systems, practical application of machine learning methods, development of prototypes of educational games and exercises.
Presentation of results, discussion of methodological aspects of conducting experiments, critical analysis of results, interpretation, formulation of conclusions and implications for practice.

Literature

Advances in intelligent tutoring systems. Edited by Roger Nkambou - Jacqueline Bourdeau - Riichiro Mizoguchi. Berlin: Springer, 2010, xxii, 508. ISBN 9783642143625. info
WOOLF, Beverly Park. Building intelligent interactive tutors : student-centered strategies for revolutionizing e-learning. Burlington, MA: Morgan Kaufmann Publishers, 2009, xii, 467. ISBN 9780123735942. info

Teaching methods

Student presentations, moderated discussion.

Assessment methods

Project work, presentation, active participation.

Language of instruction

Czech

Further Comments

The course is taught each semester.
The course is taught every week.