Teaching

Department of Teaching and Learning with Intelligent Systems (LLiS)

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 offers courses related to technology-enhanced education, ethical aspects of AI and data in education and training, psychological foundations of teaching and learning, dealing with heterogeneity and diversity, and computer science education. Our portfolio spans courses in both English and German.

In summer semester 2022 we offer the following courses:

  • AI and data in education: an ethical reflection (seminar; lecturer: Jun.-Prof. Dr. Maria Wirzberger; language of instruction: English)
  • Digitalization in vocational education (seminar; lecturer: Jun.-Prof. Dr. Maria Wirzberger; language of instruction: German)
  • More than bots & blocks! - Project seminar on instructional design in computer science education (seminar; lecturer: Jun.-Prof. Dr. Maria Wirzberger; language of instruction: German)
  • Intercultural communication (seminar; lecturer: M.A. Francesca Zermiani; language of instruction: English)
  • Introduction to programming languages for educational technologies (seminar; lecturer: M.Sc. Laura Prislan; language of instruction: German/English)
  • Emotion as influencing factors during learning (seminar; lecturer: M.Sc. Alina Schmitz-Hübsch; language of instruction: German)


Theses

Due to the comprehensive nature of our thesis projects, we supervise mainly master theses within our ongoing research projects with related subject focus (e.g., cognitive science, vocational education, educational sciences, human-computer interaction, computer science, electrical engineering, simulation technology).

Theses are usually supposed to contribute to scientific publications (with possibility of co-authorship) and thus are preferably written in English.

Once per semester, we introduce our currently open topics in a dedicated meeting. The date and time will be announced via the relevant mailing lists.

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

 

Our currently open topics are listed subsequently. Please be aware of the following process:

  1. Check in advance if your skills match the indicated requirements. We put them for a reason, as they constitute the minimum requirement for working on the topic in a meaningful way.
  2. Contact the indicated supervisor to make an appointment for discussing further steps.
  3. Submit a written exposé to the supervisor, introducing your approach to handling the research question.

Open Topics

Focus: Experimental study in Stuttgart in September 2022 (preparation starting July 2022)

Requirements: experimental design, statistical analysis (RStudio), independent working style

Supervisor: Alina Schmitz-Hübsch

Focus: Using the rubber-hand experiment as a proxy to reflect on unconscious biases and stereotypes, including the execution of the rubber-hand experiment at the science fair (June 25th)

Requirements: experimental design and statistical analysis (RStudio), interaction with visitors of all ages

Supervisor: Tabea Berberena

Focus: Exploring the costs and benefits of mind wandering during video lecture through a lab experiment with eye-tracking technology

Requirements: English as supervision and thesis language, basic knowledge of data analysis and statistical analysis (Python, RStudio)

Supervisor: Francesca Zermiani

Focus: Elaboration of communication strategies for sustainability types based on cognitive structures

Requirements: experimental design and statistical data analysis (Python or R), independent working method, advantage: psychology background (otherwise guidance for hypotheses etc.), language: English or German for submission

Supervisor: Laura Prislan

Focus: Model creation for sustainable cognition (depending on the state of research until then, in consultation with Prof. Wirzberger)

Requirements: experimental design and statistical data analysis (Python or R), independent working method, advantage: psychology background (otherwise guidance for hypotheses etc.), language: English or German for submission

Supervisor: Laura Prislan

Focus: Investigating mechanisms of reflective learning with prompts in a digital learning environment  by systematically testing different prompts in online or lab study

Requirements: experimental design and statistical data analysis (RStudio), programming skills in JavaScript (e.g., jsPsych) or Python (e.g., PsychoPy), willingness to write thesis in English

Supervisor: Jun.-Prof. Dr. Maria Wirzberger

Focus: Investigating Stereotype Threat in an intelligent attention training software

Requirements: experimental design and statistical data analysis (RStudio), basic skills in Python (helpful), willingness to write thesis in English

Supervisor: Jun.-Prof. Dr. Maria Wirzberger

To the top of the page