Meet ApplyKite Twin, the application assistant that learns with you
Meet your Twin, it learns with you
Your Twin learns with you
Launch week codes:30% off annual Pro20% off monthly Pro
Ends in00h00m00s
Ends in00h00m00s
Xiaoshan Huang
Research Interests
Make your next move.
Prepare your application
Review drafts before you send them.
Explore related searches
Articles (17)
Year:
2027
Year:
2026
Year:
2026
Year:
2026
Year:
2025
Year:
2025
Year:
2025
Year:
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.
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Year:
2023
Year:
2023
Year:
2022
Collaborators (13)
Conrad Borchers
Assistant Professor of Artificial Intelligence in Education, Policy, and Organizations
Vanderbilt University
Xue Liu
McGill University
Haolun Wu
McGill University
Susanne Lajoie
Full Professor
McGill University
Renkai Ma
Assistant Professor
University of Cincinnati
Hanxiang Du
Assistant Professor
Western Washington University
Juan Zheng
-
Shan Li
Assistant Professor
Lehigh University
Jiayi Zhang
University of Pennsylvania
Roger Azevedo
Professor
University of Central Florida
Andy Nguyen
Assistant Professor at University of Oulu
University of Oulu
Chen Chen
Assistant Professor
Florida International University
David Williamson Shaffer
Vilas Distinguished Achievement Professor of Learning Scienc
University of Wisconsin-Madison
Make your next move.
Prepare your application
Review drafts before you send them.