Skip to main content
SpringerLink
Log in

Dynamics of Affective States During MOOC Learning

  • Conference paper
  • First Online:
Artificial Intelligence in Education (AIED 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10331))

Included in the following conference series:

Abstract

We investigate the temporal dynamics of learners’ affective states (e.g., engagement, boredom, confusion, frustration, etc.) during video-based learning sessions in Massive Open Online Courses (MOOCs) in a 22-participant user study. We also show the feasibility of predicting learners’ moment-to-moment affective states via implicit photoplethysmography (PPG) sensing on unmodified smartphones.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    We removed data from S1 and S4 in this analysis because the PPG data collected from these two subjects were incomplete.

References

  1. Bradley, M.M., Lang, P.J.: Measuring emotion: the self-assessment manikin and the semantic differential. J. Behav. Ther. Exp. Psychiatry 25(1), 49–59 (1994)

    Article  Google Scholar 

  2. D’Mello, S.K., Graesser, A.C.: Dynamics of affective states during complex learning. Learn. Instr. 22(2), 145–157 (2012)

    Article  Google Scholar 

  3. Graesser, A.C., D’Mello, S.K., Strain, A.C.: Emotions in advanced learning technologies. In: Pekrun, R., Linnenbrink-Garcia, L. (eds.) International Handbook of Emotions in Education, pp. 473–493. Routledge, New York (2014)

    Google Scholar 

  4. Han, T., Xiao, X., Shi, L., Canny, J., Wang, J.: Balancing accuracy and fun: designing camera based mobile games for implicit heart rate monitoring. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. ACM (2015)

    Google Scholar 

  5. Xiao, X., Wang, J.: Context and cognitive state triggered interventions for mobile MOOC learning. In: Proceedings of the 18th ACM on International Conference on Multimodal Interaction, pp. 378–385. ACM (2016)

    Google Scholar 

  6. Xiao, X., Wang, J.: Towards attentive, bi-directional MOOC learning on mobile devices. In: Proceedings of the 17th ACM on International Conference on Multimodal Interaction, pp. 163–170. ACM (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Science and LRDC, University of Pittsburgh, Pittsburgh, PA, USA

    Xiang Xiao, Phuong Pham & Jingtao Wang

Authors
  1. Xiang Xiao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Phuong Pham
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jingtao Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jingtao Wang .

Editor information

Editors and Affiliations

  1. Human-Centered Multimedia, University of Augsburg, Augsburg, Germany

    Elisabeth André

  2. University of Pennsylvania, Philadelphia, Pennsylvania, USA

    Ryan Baker

  3. Department of Psychology, University of Memphis, Memphis, Tennessee, USA

    Xiangen Hu

  4. Ateneo de Manila University, Quezon City, Philippines

    Ma. Mercedes T. Rodrigo

  5. University of Sussex, Brighton, United Kingdom

    Benedict du Boulay

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Xiao, X., Pham, P., Wang, J. (2017). Dynamics of Affective States During MOOC Learning. In: André, E., Baker, R., Hu, X., Rodrigo, M., du Boulay, B. (eds) Artificial Intelligence in Education. AIED 2017. Lecture Notes in Computer Science(), vol 10331. Springer, Cham. https://doi.org/10.1007/978-3-319-61425-0_70

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-61425-0_70

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61424-3

  • Online ISBN: 978-3-319-61425-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation