The overall project aims to develop methods for intelligent automated diagnosis and intervention in order to lead small group work in online-supported teaching to success. For this purpose, emerging problems in the groups are to be automatically detected and diagnosed on the basis of their interaction patterns. For typical problem patterns that occur in the investigated small groups, appropriate automatable interventions for the control of small group work will be developed and algorithmically modeled on the basis of pedagogical-psychological and social/media-psychological expertise and findings. These intelligent, adaptive interventions are thus comparable to an autonomous tutor: If possible impairments are identified on the basis of the automatic diagnosis of the group interaction, the group members in turn receive automated and medially mediated suitable tips for improving their small group work via the respective learning platform.
The project thus addresses the topic of innovative digital higher education by using existing new technical developments: Our goal is to lead small group work, which plays an important role in a variety of innovative teaching-learning formats, to success through intelligent automated diagnostics and adaptive interventions based on these diagnostics - even in didactic settings in which close supervision by teachers is not consistently possible due to the large number of participants.
In order to generate generalizable and broadly applicable findings, a wide range of different online-supported teaching-learning formats in various social science as well as natural science and engineering subjects and at different types of universities will be considered.
Subproject 1 - Group Awareness and Intelligent Prompts - aims to design and technically implement measures to increase awareness - i.e., mutual group perception in small groups of online-supported teaching. On the one hand, this includes innovative visualization of group processes in order to illustrate the activity and cooperation of the group to the learners and thus also to provide incentives for behavioral change.
Furthermore, intelligent prompts - automated feedback of quantitative and qualitative information on group work as well as targeted hints for its improvement - are to be developed to control group work.
The technical implementation is based on the Moodle learning platform, which is widespread in the university landscape and therefore enables a broad reuse. The developed measures will be tested in the context of online, MOOC-based and face-to-face events at the TH Lübeck.
Bundesministerium für Bildung und Forschung