Supporting adolescents’ digital well-being in the post-pandemic era: Preliminary results from a multimodal learning analytics approach

Shen BA, Xiao HU, Runzhi KONG, Nancy LAW

Research output: Chapter in Book/Report/Conference proceedingChapters

2 Citations (Scopus)

Abstract

Affected by the Covid-19 pandemic, the way adolescents receive their education has changed drastically from offline classrooms to online digital space. Despite the benefits of digital devices, we must also be cautious of the possible negative impacts of using digital devices excessively. In this study, we proposed a smart planning course to support adolescents in managing daily digital device usage. Meanwhile, we examined the effects of this course through a novel multimodal learning analytics (MMLA) approach. Although results of the quasi-experiment indicated few significant effects of the intervention, possibly due to its timing, the proposed MMLA approach was shown to provide more comprehensive and refined data compared to traditional methods. Future studies can use this approach for further activity-based analysis of students' digital well-being. Copyright © 2022 IEEE.

Original languageEnglish
Title of host publicationProceedings of 2022 International Conference on Advanced Learning Technologies (ICALT 2022)
EditorsMaiga CHANG, Nian-Shing CHEN, Mihai DASCALU, Demetrios G SAMPSON, Ahmed TLILI, Stefan TRAUSAN-MATU
Place of PublicationDanvers, MA
PublisherIEEE
Pages177-179
ISBN (Electronic)9781665495196
DOIs
Publication statusPublished - 2022

Citation

Ba, S., Hu, X., Kong, R., & Law, N. (2022). Supporting adolescents’ digital well-being in the post-pandemic era: Preliminary results from a multimodal learning analytics approach. In M. Chang, N.-S. Chen, M. Dascalu, D. G. Sampson, A. Tlili, & S. Trausan-Matu (Eds.), Proceedings of 2022 International Conference on Advanced Learning Technologies (ICALT 2022) (pp. 177-179). IEEE.

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