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Xiaoshan Huang

McGill University
Country flagCanada

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Articles (17)

Year:

2027

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2026

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2026

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2026

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2025

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2025

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2025

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2025

Background Social annotation has emerged as a promising educational technology that fosters collaborative reading and discussion of digital resources among learners. While the positive impact of social annotation on students' learning process and performance is widely acknowledged, students' behavioural patterns in social annotation are underexplored. Objectives This study investigated patterns in students' use of annotation and response behaviours in social annotation activities. We also explored how students' performance in the behavioural, cognitive, emotional, and social dimensions varied based on their behavioural patterns. Methods We recruited 93 undergraduates who were enrolled in an elective course at a large North American University. Students were tasked with collaboratively annotating the class readings uploaded to Perusall, a social annotation platform, over 7 weeks. We used metaclustering to determine the optimal number of clusters pertaining to student behaviours. We compared the differences among clusters across multiple performance dimensions. Results and Conclusions Two distinct clusters were identified and defined as initiators and responders. We found that responders had significantly longer active reading time and exhibited greater social annotation effort compared to initiators. However, initiators received more peer acknowledgement, as evidenced by higher upvotes. No significant difference was found in cognitive insight between initiators and responders, but responders demonstrated significantly higher cognitive discrepancy. Additionally, there were no significant differences in positive and negative tones between initiators and responders; however, responders displayed higher levels of prosocial behaviours than initiators. This study has significant practical implications regarding promoting students' collaborative learning experience in social annotation.

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2024

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2024

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2024

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2024

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2024

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2024

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2023

Year:

2023

Year:

2022

Collaborators (13)

Conrad Borchers

Assistant Professor of Artificial Intelligence in Education, Policy, and Organizations

Vanderbilt University

UNITED STATES
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Xue Liu

McGill University

CANADA
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Haolun Wu

McGill University

CANADA
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Susanne Lajoie

Full Professor

McGill University

CANADA
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Renkai Ma

Assistant Professor

University of Cincinnati

UNITED STATES
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Hanxiang Du

Assistant Professor

Western Washington University

UNITED STATES
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Juan Zheng

-

UNITED STATES
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Shan Li

Assistant Professor

Lehigh University

UNITED STATES
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Jiayi Zhang

University of Pennsylvania

UNITED STATES
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Roger Azevedo

Professor

University of Central Florida

UNITED STATES
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Andy Nguyen

Assistant Professor at University of Oulu

University of Oulu

FINLAND
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Chen Chen

Assistant Professor

Florida International University

UNITED STATES
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David Williamson Shaffer

Vilas Distinguished Achievement Professor of Learning Scienc

University of Wisconsin-Madison

UNITED STATES
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