6533b7d2fe1ef96bd125deff
RESEARCH PRODUCT
Who is the Perfect Match?
Johannes KonertRené RöpkeAdrienne MüllerHenrik Bellhäusersubject
Social PsychologyComputer Networks and CommunicationsCommunicationHomogeneity (statistics)05 social sciences050301 educationConscientiousnessHuman-Computer Interaction0502 economics and businessStatisticsBusiness Management and Accounting (miscellaneous)Psychology0503 education050203 business & managementInformation Systemsdescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2018-03-27 | i-com |