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.
The department is responsible for modules related to the didactics of computer science and educational studies in the context of teacher training. We further support the study programs in vocational and technical education (bachelor's and master's).
In the summer semester 2021 we offer the following courses:
- Digitalization in the classroom (seminar relate to the module of professional role & professional ethics; lecturer: Jun.-Prof. Dr. Maria Wirzberger)
- Didactics of computer science (seminar; lecturer: Jun.-Prof. Dr. Maria Wirzberger)
- More than bots & blocks - project seminar on instructional design in computer science education (seminar; lecturer: Jun.-Prof. Dr. Maria Wirzberger)
- Basics of programming languages for educational technology (seminar; lecturer: M.Sc. Ankita Ghorpade)
- Intercultural communication (seminar; lecturer: M.A. Francesca Zermiani)
We supervise bachelor, master and project theses within the research fields of the department. Suggestions for current 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 project is on the exploration of adaptive interruptions in the virtual classroom "Classroom eXperience". Sound knowledge of experimental design and statistical data analysis is required. In addition, the willingness to get familiar with the technical platform is mandatory.
Existing research shows that metacognitive reflection promotes learning. The thesis will empirically test the potential of different approaches to foster reflective learning in educational settings (e.g., prompts, debriefing, implicit methods). Previous knowledge in experimental design and statistical data analysis is required.
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.
This thesis focuses on testing potentials of a computer-based attention training for promoting self-regulated learning in the classroom. Previous knowledge in experimental design and statistical data analysis is required. In addition, previous experience in the school context is beneficial.
Buidling on Wirzberger et al. (2016), the goal of this thesis is to implement and empirically test a variation of the task including abstract learning material (e.g., symbols or arrows). Data acquisition can be conducted either in the lab or online. Requirements are the willingness to get familiar with experimental software, existing knowledge in experimental design and statistical data analysis.
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.
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.