Tutorial and Peer-Based Feedback Systems for the Promotion of Professional Competencies, Especially in Large Classes (Project 3)

Project coordinators

Full professor, head of Department of Psychology
Psychology
  • Room 2086 (Building D)
Prof. Dr. Ingo Kollar
Full professor, head of Department of Educational Psychology
Educational psychology
  • Room 2090 (Building D)

Project participants

Ordinaria
Prof. Dr. Jennifer Kunz: Controlling
Wiss. Mitarbeiter/Research and teaching assistant
Prof. Dr. Jennifer Kunz: Controlling
Professor for Geoinformatics // Managing Director of the Institute of Geography
Geoinformatics
Research and teaching assistant
Geoinformatics
Research and teaching assistant
Geoinformatics
Head of Chair
Materials Engineering
Scientist
Materials Engineering
Scientist
Materials Engineering
PhD student
Materials Engineering
Prof. Dr. Tobias Mömke
Professor
Resource Aware Algorithmics
Aida Roshany Tabrizi
Wissenschaftlicher Mitarbeiter
Resource Aware Algorithmics
Geschäftsführer des DigiLLab
ZLbiB
Scientific researcher, project coordinator "KodiLL"
Educational psychology
Birgit Weckerle
Instructional Designer
DigiLLab
Tugce Özbek
Instructional Designer
DigiLLab
Research assistant
Psychology
Julia Hornstein B.A.
Wissenschaftliche Hilfskraft
Empirische Bildungsforschung

Project description

Many courses suffer from low cognitive activation of the students. This can be addressed with assignments that students complete in and/or between sessions. However, especially in larger courses it is hardly possible to give all students adaptive, elaborated and process-related feedback on their work. Therefore, a generic Stud.IP plugin will be developed to enable structured forms of feedback by tutors (incl. lecturers) and peers. Based on findings from feedback research, instructors should be able to use the plugin to determine (a) who gives feedback to whom on which task, (b) which criteria should be taken into account, and (c) how the feedback is processed by the recipients. Subject-specific catalogs of effective feedback are developed as text modules that enable efficient feedback presentation, which is also conducive to a favorable error culture. Initially, the Faculty of Applied Computer Science, the Faculty of Mathematics, Natural Sciences and Technology, and the Faculty of Economics are involved, since it is precisely here that large lectures are offered that benefit from an adaptive and at the same time efficient feedback system. The transfer in the third year of the project will take place to the Faculty of Philological-Historical Sciences, the Faculty of Philosophical-Social Sciences, the Faculty of Law and the Faculty of Medicine. In this way, the project is creating a feedback tool that can be used flexibly and integrated into Stud.IP, along with a large number of discipline-specific and customizable use cases.

@ Stiftung Innovation in der Hochschullehre

The project "Facilitating Competence Development through Digital Authentic and Feedback-Based Learning Scenarios" is funded within the framework of the funding announcement "Strengthening University Teaching Through Digitization" (FBM2020) by Stiftung Innovation in der Hochschullehre.

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