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Hauptverfasser: Huang, Xiaoshan, Wu, Haolun, Liu, Xue, Lajoie, Susanne
Format: Preprint
Veröffentlicht: 2024
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Online-Zugang:https://arxiv.org/abs/2401.12956
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author Huang, Xiaoshan
Wu, Haolun
Liu, Xue
Lajoie, Susanne
author_facet Huang, Xiaoshan
Wu, Haolun
Liu, Xue
Lajoie, Susanne
contents This study explores the impact of peer acknowledgement on learner engagement and implicit psychological attributes in written annotations on an online social reading platform. Participants included 91 undergraduates from a large North American University. Using log file data, we analyzed the relationship between learners' received peer acknowledgement and their subsequent annotation behaviours using cross-lag regression. Higher peer acknowledgements correlate with increased initiation of annotations and responses to peer annotations. By applying text mining techniques and calculating Shapley values to analyze 1,969 social annotation entries, we identified prominent psychological themes within three dimensions (i.e., affect, cognition, and motivation) that foster peer acknowledgment in digital social annotation. These themes include positive affect, openness to learning and discussion, and expression of motivation. The findings assist educators in improving online learning communities and provide guidance to technology developers in designing effective prompts, drawing from both implicit psychological cues and explicit learning behaviours.
format Preprint
id arxiv_https___arxiv_org_abs_2401_12956
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Examining the Role of Peer Acknowledgements on Social Annotations: Unraveling the Psychological Underpinnings
Huang, Xiaoshan
Wu, Haolun
Liu, Xue
Lajoie, Susanne
Human-Computer Interaction
This study explores the impact of peer acknowledgement on learner engagement and implicit psychological attributes in written annotations on an online social reading platform. Participants included 91 undergraduates from a large North American University. Using log file data, we analyzed the relationship between learners' received peer acknowledgement and their subsequent annotation behaviours using cross-lag regression. Higher peer acknowledgements correlate with increased initiation of annotations and responses to peer annotations. By applying text mining techniques and calculating Shapley values to analyze 1,969 social annotation entries, we identified prominent psychological themes within three dimensions (i.e., affect, cognition, and motivation) that foster peer acknowledgment in digital social annotation. These themes include positive affect, openness to learning and discussion, and expression of motivation. The findings assist educators in improving online learning communities and provide guidance to technology developers in designing effective prompts, drawing from both implicit psychological cues and explicit learning behaviours.
title Examining the Role of Peer Acknowledgements on Social Annotations: Unraveling the Psychological Underpinnings
topic Human-Computer Interaction
url https://arxiv.org/abs/2401.12956