Authors:
Lucas Braeschke
1
;
Iris Braun
2
;
Felix Kapp
3
and
Tenshi Hara
4
Affiliations:
1
Master Student Computer Sciences, Technische Universität Dresden, Dresden and Germany
;
2
Chair of Computer Networks, Technische Universität Dresden, Dresden and Germany
;
3
Chair of Learning and Instruction, Technische Universität Dresden, Dresden and Germany
;
4
University of Cooperative Education, State Study Academy Dresden, Dresden and Germany
Keyword(s):
ARS, Confidence, Learning Questions, SRL, AMCS.
Related
Ontology
Subjects/Areas/Topics:
Cloud-Based Learning and Assessment
;
Computer-Supported Education
;
Information Technologies Supporting Learning
;
Learning/Teaching Methodologies and Assessment
;
Metrics and Performance Measurement
;
Synchronous and Asynchronous Learning
;
Ubiquitous Learning
Abstract:
Learning questions are an adequate method to check the knowledge of students in university courses. With the help of audience response systems (ARS), the lecturers can use learning questions during the active lecture to get immediate feedback about the knowledge base of the students. This information can help them to modify the content of the lecture or the kind of presentation of the knowledge. They can discuss the answers with the students and make the lecture more interactive. For the students it is helpful to regulate their learning strategy in the self-regulated learning process (SRL). For a deeper understanding of their own failures in answering the questions it is very important to think about their confidence while answering. Did they only guess or were they sure to have the right answer? In this paper we present an approach to integrate different kinds of confidence ratings in an ARS as well as our results from first user studies.