Teaching

G-BIL-WP9-a

• Learning support with Digital Media (Schrader)
  Module handbook G-BIL-WP9

G-BIL-WP9-b

• Digital Ethics and Game-Based Learning (Schrader/Schwartz)
  (Prerequisite for enrolment in this seminar is the successful completion of the module component G-BIL-WP9-a)
  Module handbook G-BIL-WP9

K-BIL 3a

• Lecture series "Computer Science, Media Education and Media Psychology" (Schrader)
  Module handbook K-BIL3 (PO 2021)
  Module handbook K-BIL3a (PO 2014)

K-BIL 3b

• Virtual Spaces for use in educational science contexts (Diekmann)
  Module handbook K-BIL3 (PO 2021)
  Module handbook K-BIL3b (PO 2014)

K-BIL 3c

• Digital Ethics and Game-Based Learning (Schrader)
  Module handbook K-BIL3 (PO 2021)
  Module handbook K-BIL3c (PO 2014)

M-BIL 5

• Accompanying seminar to the research project "Learning in immersive virtual reality environments" (Diekmann)
  Module handbook M(GymGe)-BIL5
  Module handbook M(HRSGe)-BIL5

Learning modules in the Digital Competences module (B. A.)

• Introduction of Digital Media & Good Practice in the educational contexts (Schrader)
• Theoretical foundations of learning with media (Schrader)
• Instructional design of digital tools: introduction into multimedia design principles of design (Schrader)
• Models for planning Instruction with Digital Media (Schrader)
• Gamification concepts for use in educational science contexts (Diekmann)
• Feedback and support in digital teaching-learning media (Schrader)
• Learning videos: Types and design principles (Diekmann)
• Learning videos: Technical realisation (Diekmann)

As part of student research projects (FoPro), it is also possible to participate in ongoing projects in the department.

Guidelines for student research projects (FoPro)

The aim of the research project is to impart basic competencies for the implementation of educational science questions in empirical research work. The focus is on learning in immersive virtual reality environments.

During the course of the seminar, participants develop their own research question on learning processes in virtual reality and go through all the steps of a quantitative research process together. Possible questions relate to emotional, motivational or cognitive processes as well as to the acquisition of knowledge when learning with virtual reality.

Central theoretical approaches, methodological principles and current empirical findings are taught to enable students to work on their research questions in a well-founded manner. In addition, students acquire methodological skills for planning and conducting quantitative studies in the field of education.

An accompanying seminar is offered for this research project (M-BIL 5).

Students have the opportunity to write term papers as well as Bachelor's and Master's theses within our Research Group. Please note that we can only supervise term papers submitted by students who have participated in our courses (e.g., within the MAP-DUF module).

Guidelines for term papers, Bachelor's and Master's theses
Mandatory declaration of independence for term papers and theses

Interactive Videos

- Design of interactive videos or video-task combinations
- Exploration of different instructional design variations
- Effects on motivation, cognitive load, emotions, and/or learning outcomes
- Application of methods for data collection

Available formats: Term paper, Bachelor's thesis, Master's thesis
Contact: Claudia Schrader

Gamification / Serious Games

- Types and design aspects, particularly reward systems
- Effects on motivation, cognitive load, emotions and/or learning outcomes
- Influence of learner characteristics, especially prior expertise

Available formats: Term paper, Bachelor's thesis, Master's thesis
Contact: Claudia Schrader

Virtual Reality

- Potentials of use
- Gesture-based learning & haptic experience
- Effects on motivation, cognitive load, emotions and/or learning outcomes
- Influence of learner characteristics, in particular prior expertise

Available formats: Term paper, Bachelor's theses, Master's thesis
Contact: Charlotte Diekmann