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Understanding and Detecting Divided Attention in Mobile MOOC Learning

Published: 02 May 2017 Publication History

Abstract

The emergence of mobile apps for Massive Open Online Courses (MOOCs) allows learners to access quality learning materials at low cost and "to control where, what, how and with whom they learn". Unfortunately, when compared with traditional classroom education, learners face more distractions and are more likely to multitask when they study alone in an informal learning environment. In this paper, we investigate the impact of divided attention (DA) on both the learning process and learning outcomes in the context of mobile MOOC learning. We propose OneMind, a system and algorithm for detecting divided attention on unmodified mobile phones via implicit, camera-based heart rate tracking. In an 18-participant study, we found that internal divided attention has a significant negative impact on learning outcomes; and that the photoplethysmography (PPG) waveforms implicitly captured by OneMind can be used to detect the presence, type, and intensity of divided attention in mobile MOOC learning.

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    cover image ACM Conferences
    CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
    May 2017
    7138 pages
    ISBN:9781450346559
    DOI:10.1145/3025453
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    Published: 02 May 2017

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    Author Tags

    1. divided attention
    2. mobile interfaces
    3. mooc
    4. ppg

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    CHI '17 Paper Acceptance Rate 600 of 2,400 submissions, 25%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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    • (2024)Classifying engagement in E-learning through GRU-TCN model using photoplethysmography signalsBiomedical Signal Processing and Control10.1016/j.bspc.2023.10590390(105903)Online publication date: Apr-2024
    • (2024)Sustained attention detection in humans using a prefrontal theta-EEG rhythmCognitive Neurodynamics10.1007/s11571-024-10113-018:5(2675-2687)Online publication date: 3-May-2024
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    • (2022)Glancee: An Adaptable System for Instructors to Grasp Student Learning Status in Synchronous Online ClassesProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517482(1-25)Online publication date: 29-Apr-2022
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