Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/8281
Title: Dear Pat: The Role of Error Detection Problems for Learning Effective Peer Feedback
Authors: Charles, Elizabeth S.
Dugdale, Michael
Lenton, Kevin
Zhang, Chao
Adams, Rhys
Keywords: CSCL
Issue Date: 2022
Publisher: International Society of the Learning Sciences
Citation: Charles, E. S., Dugdale, M., Lenton, K., Zhang, C., & Adams, R. (2022). Dear Pat: The role of error detection problems for learning effective peer feedback. In Weinberger, A. Chen, W., Hernández-Leo, D., & Chen, B. (Eds.), Proceedings of the 15th International Conference on Computer-Supported Collaborative Learning - CSCL 2022 (pp. 234-241). International Society of the Learning Sciences.
Abstract: While the positive potential of peer feedback has been widely studied, it is difficult to isolate the effect that the providing of feedback to a peer has on a learner due to the variability in source material (the peer’s submitted work). This variability can lead to unequal learning opportunities for the students. In this study, we explore the use of Error Detection Problems (EDPs). In these activities, students are given the same source material: a worked problem produced by a fictitious peer ‘Pat’. We show that engaging in these activities can help students gain the positive impacts expected of authentic peer feedback exercises, while minimizing the effects of source material variability. Furthermore, we argue that such activities may provide an opportunity for researchers to better understand how students learn to give effective feedback and for CSCL to design new forms of learning scripts.
Description: Long Paper
URI: https://doi.dx.org/10.22318/cscl2022.234
https://repository.isls.org//handle/1/8281
Appears in Collections:ISLS Annual Meeting 2022

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