Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/10301
Title: Developing Productive Discourse for Knowledge Building: A Blended Approach Based on Learning Analytics
Authors: Tong, Yuyao
Yang, Chao
Chen, Gaowei
Chan, Carol K. K.
Keywords: Learning Sciences
Issue Date: 2023
Publisher: International Society of the Learning Sciences
Citation: Tong, Y., Yang, C., Chen, G., & Chan, C. K. (2023). Developing productive discourse for Knowledge Building: A blended approach based on learning analytics. In Blikstein, P., Van Aalst, J., Kizito, R., & Brennan, K. (Eds.), Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023 (pp. 585-592). International Society of the Learning Sciences.
Abstract: This study investigates how secondary school students developed discourse understanding and engaged in productive discourse through a learning analytics-supported blended approach in a knowledge building environment. The study involved 15 10th-grade students studying visual arts in a Hong Kong secondary school. Students worked on collective inquiry in Art and Design through online Knowledge ForumĀ® and classroom discussion. A key design involved the integration of online and classroom discussions through meta-discourse with the support of learning analytics. Results indicated that the students promoted discourse understanding and engaged in productive online discourse progressively. Qualitative analysis of classroom discourse and artifacts revealed students developed discourse understanding, relating to noticing of quantity and quality of discussion. The implications for the analytics-supported design to help students engage in productive discourse for knowledge building are discussed.
Description: Long Paper
URI: https://doi.org/10.22318/icls2023.886594
https://repository.isls.org//handle/1/10301
Appears in Collections:ISLS Annual Meeting 2023

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