Department of Teaching and Learning with Intelligent Systems

Teaching

Our teaching: technically sound, practice-oriented and didactically creative.

Didactic concept

In order to make the learning contents vivid and tangible and thus ensure lasting learning success, we use creative and playful elements. Our portfolio includes digital learning games such as Kahoot, LEGO Serious Play, Bingo or Escape Room Settings. Such approaches from the field of Game-Based Learning can promote not only specialist knowledge but also interdisciplinary skills such as teamwork, creativity, strategic action planning, logical thinking and presentation skills.


Courses

The department is responsible for education in the didactics of computer science and supports the educational studies in the context of teacher training.

In the winter semester 2020 we offer the following courses:

  • Introduction to educational psychology (lecture)
  • Digitalization in vocational education (seminar)
  • Mentorship for students who need to catch up (seminar)


Theses

We supervise bachelor, master and project theses within the research fields of the department. Currently open topics are listed below.

If you are interested, you are welcome to contact us!

The theoretical focus is devoted to the question of how cognitive load can be continuously recorded using secondary tasks. Based on a comprehensive literature analysis of the current state of research, possibilities and limitations will be discussed to identify and develop promising task paradigms for different contexts. Special attention will be paid to the application in real learning scenarios (e.g., school, university, vocational education). In addition to solid competence in the use of scientific databases, experience in the evaluation of scientific evidence will be beneficial for working on the research question.

In this thesis, the principle of decreasing instructional support is to be implemented and experimentally examined in a building instruction for LEGO Mindstorms robots. For this purpose, a sound knowledge of experimental design and statistical data analysis is required. Previous experiences with LEGO and web design are helpful.

The focus of this thesis is on the exploration of individual differences in applied resumption strategies following and an interruption. The experimental investigation will include eye and/or mouse tracking. Hence, previous experience with these procedures or the willingness to acquire the related skills are prerequisites for the thesis. In addition, sound knowledge of experimental design and statistical data analysis is required.

Existing research shows that metacognitive reflection promotes learning. The thesis will inspect the potential of different approaches to foster reflective learning in educational settings. Previous knowledge in experimental design and statistical data analysis is required. In addition, previous experience in the school context is beneficial.

The aim of the thesis is to test an existing computer-based attention training to improve attention control in the context of AD(H)D. Previous knowledge in experimental design and statistical data analysis is required. In addition, previous experience with the target group is beneficial.

The project aims to extend the design of an existing software for attention training with graphical and interactive elements. Central prerequisites are, besides a confident handling of Python and PyQt, profound knowledge in the areas of software architecture, unit testing and version control.

Existing computer-based tests for attention control often use very abstract tasks. Therefore, in the context of the thesis an alternative method is to be developed and validated, which is based on attention-related tasks that have to be performed in everyday life. For the software part, experience in web development (including JavaScript, PHP, HTML) is necessary. Required prior knowledge for the test validation includes test construction, experimental design and statistical data analysis.

The goal of this project is to develop and validate a working memory test based on the well-known memory game. Due to its scope, the project is well suited for longer-term project work. Alternatively, the development and validation can be broken up in separate theses. Previous knowledge for the software development includes the safe handling of Java as well as basics of machine learning. For the validation, in addition to knowledge of experimental design and statistical data analysis, solid prior knowledge of test construction is required.

This picture showsMaria Wirzberger
Jun.-Prof. Dr.

Maria Wirzberger

Professor for Teaching and Learning with Intelligent Systems

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