Skip to main content

Emotions and Intelligent Tutors

  • Conference paper
  • First Online:
Trends and Applications in Information Systems and Technologies (WorldCIST 2021)

Abstract

In the last year, schools, universities, teachers, and students had to adapt to distance learning because of the pandemic situation. The e-learning situation is very different from a face-to-face situation. One of the problems of the e-learning is that the students should be more responsible to not distracted. Another problem is that the type of computer for each student varies significantly. Finally, the traditional interaction between teacher, student and content is made more complicated by introducing technology. When new tools are applied, and there is an improvement in e-learning education, student, teacher, and educational institutions benefit from it. Emotion plays an essential role in the knowledge, acquisition, and decision process of an individual. There is also significant evidence that rational learning in humans is dependent on emotions. In this paper, we presented a solution with an Intelligent Tutor Application, that analyzed emotions in a non-intrusive and non-invasive way.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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

References

  1. Rodrigues, M., Novais, P., Santos, M.F.: Future challenges in intelligent tutoring systems: a framework (2005)

    Google Scholar 

  2. Carneiro, D., Pimenta, A., Gonçalves, S., Neves, J., Novais, P.: Monitoring and improving performance in human–computer interaction. Concurrency Comput.: Pract. Experience 28(4), 1291–1309 (2016)

    Article  Google Scholar 

  3. Carneiro, D., Novais, P., Durães, D., Pego, J.M., Sousa, N.: Predicting completion time in high-stakes exams. Futur. Gener. Comput. Syst. 92, 549–559 (2019)

    Article  Google Scholar 

  4. Durães, D., Toala, R., Gonçalves, F., Novais, P.: Intelligent tutoring system to improve learning outcomes. AI Commun. 32(3), 161–174 (2019)

    Article  MathSciNet  Google Scholar 

  5. Brusilovsky, P.: From adaptive hypermedia to the adaptive web (invited talk). In: Proceedings of Mensch Computer, pp. 21–24 (2003)

    Google Scholar 

  6. Rincon, J.A., Julian, V., Carrascosa, C., Costa, A., Novais, P.: Detecting emotions through non-invasive wearables. Logic J. IGPL 26(6), 605–617 (2018)

    MathSciNet  Google Scholar 

  7. Ortony, A., Clore, G.L., Collins, A.: The Cognitive Structure of Emotions. Cambridge University Press, Cambridge (1990)

    Google Scholar 

  8. Hasan, M.A., Noor, N.F.M., Rahman, S.S.A., Rahman, M.M.: The transition from intelligent to affective tutoring system: a review and open Issues. IEEE Access 8, 204612–204638 (2020)

    Article  Google Scholar 

  9. Hooshyar, D., Ahmad, R.B., Yousefi, M., Fathi, M., Horng, S.J., Lim, H.: Applying an online game-based formative assessment in a flowchart-based intelligent tutoring system for improving problem-solving skills. Comput. Educ. 94, 18–36 (2016)

    Article  Google Scholar 

  10. Petrovica, S., Anohina-Naumeca, A., Ekenel, H.K.: Emotion recognition in affective tutoring systems: collection of ground-truth data. Proc. Comput. Sci. 104, 437–444 (2017)

    Article  Google Scholar 

  11. Ramírez-Noriega, A., Juárez-Ramírez, R., Martínez-Ramírez, Y.: Evaluation module based on Bayesian networks to intelligent tutoring systems. Int. J. Inf. Manage. 37(1), 1488–1498 (2017)

    Article  Google Scholar 

  12. Victorio-Meza, H., Mejía-Lavalle, M., Ortiz, G.R.: Advances on knowledge representation of intelligent tutoring systems. In: 2014 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE), pp. 212–216. IEEE Computer Society, November 2014

    Google Scholar 

  13. Durães, D., Jiménez, A., Bajo, J., Novais, P.: Monitoring level attention approach in learning activities. In: Methodologies and Intelligent Systems for Technology Enhanced Learning, pp. 33–40. Springer, Cham (2016)

    Google Scholar 

  14. Durães, D., Carneiro, D., Jiménez, A., Novais, P.: Characterizing attentive behavior in intelligent environments. Neurocomputing 272, 46–54 (2018)

    Article  Google Scholar 

  15. Hassin, M.H.M., Aziz, A.A., Norwawi, N.M.: Affective computing: knowing how you feel. In: The National Seminar of Science Technology and Social Science (STSS 2004), UiTM Pahang (2004)

    Google Scholar 

  16. Picard, R.W.: Affective computing for HCI. In: HCI, no. 1, pp. 829–833, August 1999

    Google Scholar 

  17. Picard, R.W., Papert, S., Bender, W., Blumberg, B., Breazeal, C., Cavallo, D., Strohecker, C.: Affective learning—a manifesto. BT Technol. J. 22(4), 253–269 (2004)

    Article  Google Scholar 

Download references

Acknowledgement

This work has been supported by FCT - Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dalila Durães .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Toala, R., Durães, D., Novais, P. (2021). Emotions and Intelligent Tutors. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Ramalho Correia, A.M. (eds) Trends and Applications in Information Systems and Technologies. WorldCIST 2021. Advances in Intelligent Systems and Computing, vol 1365. Springer, Cham. https://doi.org/10.1007/978-3-030-72657-7_47

Download citation

Publish with us

Policies and ethics