Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/6309
Title: How Students Weight Different Types of Group Awareness Attributes in Wiki Articles: A Mixed-Methods Approach
Authors: Ollesch, Lisa
Heimbuch, Sven
Krajewski, Hannah
Weisenberger, Cora
Bodemer, Daniel
Keywords: Design
Issue Date: Jun-2020
Publisher: International Society of the Learning Sciences (ISLS)
Citation: Ollesch, L., Heimbuch, S., Krajewski, H., Weisenberger, C., & Bodemer, D. (2020). How Students Weight Different Types of Group Awareness Attributes in Wiki Articles: A Mixed-Methods Approach. In Gresalfi, M. and Horn, I. S. (Eds.), The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS) 2020, Volume 2 (pp. 1157-1164). Nashville, Tennessee: International Society of the Learning Sciences.
Abstract: Group awareness (GA) tools can visualize different types of group attributes. Studies often focus on the representation of one attribute, although social media environments such as wikis may benefit from GA combinations. In our studies, we examined the importance of cognitive (knowledge), behavioral (participation), and emotional (friendliness) GA information in wiki article selections, which allows initial predictions about how individuals deal with combined GA information. A quantitative analysis using choice-based conjoint analysis (N = 104) showed that the visualization of friendliness is weighted higher than participation in wiki groups. GA assessments are moreover slightly related to personal characteristics like the learning motivation, the tendency towards social comparisons, and the need for affect. The additional qualitative analysis (N = 19) revealed a higher effect of visualized emotional deficits on perceived group problems than cognitive and behavioral deficits, underlining the need for a stronger investigation and support of emotional GA.
URI: https://doi.dx.org/10.22318/icls2020.1157
https://repository.isls.org//handle/1/6309
Appears in Collections:ICLS 2020

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