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Investigating the impact of Collaborative Annotation on Student Quality of Learning

Published:29 June 2023Publication History

ABSTRACT

Collaborative Annotation is a strategy that engages students in critical thinking, writing, and collaboration [1]. My PhD investigates the effect and role Collaborative Annotation plays as an assessment strategy and how it impacts students' learning, and the quality of that learning. My research investigates pedagogical approaches and research possibilities that can further improve its impact on collaborative learning contexts and student assessment in the future. Preliminary investigations, conducted in my first year suggest that there is a positive correlation between Collaborative Annotation and student quality of learning and that the research merits further study and reflection.

References

  1. Schwane, E. Collaborative Annotation: For Any Text and Any Class. Available at: http://www.wcteonline.org/wp-content/uploads/2015/10/Collaborative-Annotation.pdfGoogle ScholarGoogle Scholar
  2. Razon, S., Turner, J., Johnson, T.E., Arsal, G. and Tenenbaum, G., 2012. Effects of a collaborative annotation method on students' learning and learning-related motivation and affect. Computers in human behavior, 28(2), pp.350--359.Google ScholarGoogle Scholar
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  6. Wiggins, B.L., Eddy, S.L., Wener-Fligner, L., Freisem, K., Grunspan, D.Z., Theobald, E.J., Timbrook, J. and Crowe, A.J., 2017. ASPECT: A survey to assess student perspective of engagement in an active-learning classroom. CBE-Life Sciences Education, 16(2), p.ar32.Google ScholarGoogle Scholar
  7. PAF - view and moderate result (2018) eLearning. Available at: https://elearning.uq.edu.au/guides/group-peer-assessment/paf-view-and-moderate-resultGoogle ScholarGoogle Scholar

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          • Published in

            cover image ACM Conferences
            ITiCSE 2023: Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2
            June 2023
            694 pages
            ISBN:9798400701399
            DOI:10.1145/3587103

            Copyright © 2023 Owner/Author

            Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 29 June 2023

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