September 2024
Volume 24, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2024
Keeping An Eye on On-line Learning: Attention Matters
Author Affiliations & Notes
  • Lester Loschky
    Kansas State University
  • Prasanth Chandran
    Kansas State University
  • Brian Howatt
    Kansas State University
  • Yifeng Huang
    SUNY Stonybrook
  • Jeremy Munsell
    Purdue University
  • Brayden Wallace
    Kansas State University
  • Lindsey Wilson
    Kansas State University
  • Ally Dinkel
    Kansas State University
  • Sidney D'Mello
  • Minh Hoai
    SUNY Stonybrook
  • Sanjay Rebello
    Purdue University
  • Footnotes
    Acknowledgements  Funding: National Science Foundation Grant 2100071 to LL, MH, SR
Journal of Vision September 2024, Vol.24, 1405. doi:https://doi.org/10.1167/jov.24.10.1405
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      Lester Loschky, Prasanth Chandran, Brian Howatt, Yifeng Huang, Jeremy Munsell, Brayden Wallace, Lindsey Wilson, Ally Dinkel, Sidney D'Mello, Minh Hoai, Sanjay Rebello; Keeping An Eye on On-line Learning: Attention Matters. Journal of Vision 2024;24(10):1405. https://doi.org/10.1167/jov.24.10.1405.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Computer-Assisted Instruction (CAI) is here to stay. However, given it’s unsupervised nature, a key problem for CAI is estimating students' attention. Nevertheless, CAI is an ideal context for investigating these issues, because it allows comprehensive measurements of learners' behavior during naturalistic learning activities. Here, we report on the initial results of a study of 100 students’ attentional states while studying a multimodal Physics module and their learning outcomes. Our study uses a 2x2 matrix to characterize online learners’ attentional and cognitive states (D’Mello, 2016). First, when learners are looking at the screen, we distinguish between when they are thinking about the content versus when they are not (i.e., on-task vs. mind-wandering). Second, when learners are looking elsewhere (i.e., off-screen), we similarly distinguish between when they are thinking about the content versus not. Method: To measure students’ attentional states, we combined information from a webcam, eye tracker, egocentric camera (showing what students looked at), and probes to measure mind-wandering. After learners had finished the module, we synchronized the multi-modal data and conducted a retrospective recall to ask students about their attentional and cognitive states whenever they had gazed away from the materials. To determine learning effects of the above attentional states, we used a 26-item pre-test, post-test, and 1-week retention test. Initial Results: Learners with less prior knowledge spent more time looking on-screen while thinking about the content, which was positively correlated with learning. However, learners with less prior knowledge also spent more time looking on-screen, but mind-wandering, which was negatively correlated with learning. Learners with greater prior knowledge spent more time looking off-screen, but thinking about the content, which was uncorrelated with learning. However, learners with greater prior knowledge also spent more time looking off-screen, but not thinking about the content, which was negatively correlated with learning.

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