Understanding Academic Engagement and Context Through Multimodal Data

dc.contributor.authorKong , Runzhi
dc.contributor.authorHu, Xiao
dc.contributor.authorYuen, Allan H.K
dc.date.accessioned2020-01-04T07:51:05Z
dc.date.available2020-01-04T07:51:05Z
dc.date.issued2020-01-07
dc.description.abstractThe Internet has penetrated the life of adolescents and become a new space for learning, socializing and entertainment. Physical exercise and sleep remain crucial for the development of adolescents. However, the influence of these critical contextual factors on learning and life is insufficiently explored, partially due to the difficulty of measuring these factors. To bridge the gap, a semi-automated Day Reconstruction Method was proposed which leverages 24-hour multimodal data collected by smart wristband (Fitbit Versa), paired mobile phone (Red Mi 6), and time management application (RescueTime). A pilot study was conducted to verify the feasibility of this proposed method and is reported in this paper. As academic engagement among adolescents is widely concerned by stakeholders, this pilot study also explores the relationship between the aforementioned contextual factors and academic engagement. With some interesting patterns, revealed, this study contributes to furthering our understanding of how context shapes adolescents’ academic engagement using a more objective and nonintrusive method.
dc.format.extent9 pages
dc.identifier.doi10.24251/HICSS.2020.411
dc.identifier.isbn978-0-9981331-3-3
dc.identifier.urihttp://hdl.handle.net/10125/64153
dc.language.isoeng
dc.relation.ispartofProceedings of the 53rd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDesign and Application of Body Sensor Systems in Healthcare
dc.subjectacademic engagement
dc.subjectcontext
dc.subjectinternet use
dc.subjectmultimodal data
dc.subjectphysical exercise
dc.subjectsleep
dc.titleUnderstanding Academic Engagement and Context Through Multimodal Data
dc.typeConference Paper
dc.type.dcmiText

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