Who is the Perfect Match?-Reference-Cited by-同舟云学术

Who is the Perfect Match?

Published:2018-03-27 Issue:1 Volume:17 Page:65-77
ISSN:2196-6826
Container-title:i-com
language:en
Short-container-title:

Author:

Bellhäuser Henrik¹^ORCID,Konert Johannes²,Müller Adrienne¹,Röpke René³

Affiliation:

1. Universität Mainz , Psychologie in den Bildungswissenschaften , Binger Str. 14-16 , 55099 Mainz , Germany

2. 38963 Beuth Hochschule für Technik , FB VI Informatik und Medien , Luxemburger Str. 10 , 13353 Berlin , Germany

3. RWTH Aachen University , Informatik 9 (Learning Technologies) , Ahornstraße 55 , 52074 Aachen , Germany

Abstract

Abstract Using digital tools for teaching allows to unburden teachers from organizational load and even provides qualitative improvements that are not achieved in traditional teaching. Algorithmically supported learning group formation aims at optimizing group composition so that each learner can achieve his or her maximum learning gain and learning groups stay stable and productive. Selecting and weighting relevant criteria for learning group formation is an interdisciplinary challenge. This contribution presents the status quo of algorithmic approaches and respective criteria for learning group formation. Based on this theoretical foundation, we describe an empirical study that investigated the influence of distributing two personality traits (conscientiousness and extraversion) either homogeneously or heterogeneously on subjective and objective measures of productivity, time investment, satisfaction, and performance. Results are compared to an earlier study that also included motivation and prior knowledge as criteria. We find both personality traits to enhance group satisfaction and performance when distributed heterogeneously.

Publisher

Walter de Gruyter GmbH

Subject

Computer Networks and Communications,Human-Computer Interaction,Communication,Business, Management and Accounting (miscellaneous),Information Systems,Social Psychology

Link

https://www.degruyter.com/document/doi/10.1515/icom-2018-0004/pdf

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