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Enhanced Affective Factors Management for HEI Students Dropout Prevention

  • Emmanuelle Gutiérrez y Restrepo
  • Fernando Ferreira
  • Jesús G. Boticario
  • Elsa Marcelino-Jesus
  • Joao SarraipaEmail author
  • Ricardo Jardim-Goncalves
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9753)

Abstract

Among the problems affecting Higher Education Institutions (HEI) in Latin America and the Caribbean there is the dropout, which relates to a more general issue consisting in dealing with the diversity of students. Here provided solutions are to detect and deal with student’s particular capacities and needs. To cope with this situation the ACACIA project has defined a framework that develops both CADEP centers and technological infrastructure. The former consists of an organizational unit focus on Empowering, Innovating, Educating, Supporting, Monitoring and leveraging institutions in dealing with such diversity. The latter is based on building the required infrastructure to tackle those issues and covering both face-to-face and eLearning educational settings. This comprises non-intrusive affect detection methods along with ambient intelligent solutions, which provide context-aware affective feedback to each student. Preliminary experimentation results open interesting avenues to be further progressed thus taking advantage of current developments on affect computing technologies.

Keywords

Emerging technologies for collaboration and learning Recommender systems for technology-enhanced learning 

Notes

Acknowledgements

The authors acknowledge the European Commission for its support and partial funding and the partners of the research projects from ERASMUS+: Higher Education – International Capacity Building - ACACIA – Project reference number – 561754-EPP-1-2015-1-CO-EPKA2-CBHE-JP, (http://acacia.digital); and Horizon2020 - AquaSmart – Aquaculture Smart and Open Data Analytics as a Service, project number - 644715, (http://www.aquasmartdata.eu/). This work has also been partly supported by the Spanish Ministry of Economy and Competitiveness through projects MAMIPEC (TIN2011-29221-C03-01) and BIG-AFF (TIN2014-59641-C2-2-P.

References

  1. Adolphs, R.: Recognizing emotion from facial expressions: psychological and neurological mechanisms. Behav. Cogn. Neurosc. Rev. 1(1), 21–62 (2002)CrossRefGoogle Scholar
  2. Afzal, S., Robinson, P.: A study of affect in intelligent turoring. In: Supplementary Proceedings of the 13th International Conference of Artificial Intelligence in Education (AIED 2007), Marina Del Rey, CA, USA, 9 July 2007 (2007)Google Scholar
  3. Astin, A.: What Matters Most in College: Four Critical Years. Jossey-Bass, San Francisco (1977)Google Scholar
  4. Astin, A.: What Matters Most in College: Four Critical Years Revisited. Jossey-Bass, San Francisco (1993)Google Scholar
  5. Bean, J.: Dropouts and turnover: the synthesis and test of a causal model off student attrition. Res. High. Educ. 12, 155–187 (1980)CrossRefGoogle Scholar
  6. Bean, J.: The application of a model of turnover in work organizations to the student attrition process. Rev. High. Educ. 6, 129–148 (1983)Google Scholar
  7. Bean, J., Metzner, B.: Conceptual model of nontraditional undergraduate student attrition. Rev. Educ. Res. 55, 485–540 (1985)CrossRefGoogle Scholar
  8. Bradley, M.M., Lang, P.J.: Measuring emotion: the self-assessment manikin and the semantic differential. J. Behav. Ther. Exp. Psychiatry 25, 49–59 (1994)CrossRefGoogle Scholar
  9. Busso, M., Bassi, M., Muñoz, J.S.: Is the Glass Half Empty or Half Full? School Enrollment, Graduation, and Dropout Rates in Latin America, October 2013. IDB Working Paper No. IDB-WP-462. SSRN: http://ssrn.com/abstract=2367706, http://dx.doi.org/10.2139/ssrn. 2367706
  10. D’Mello, S.K.: Emotional rollercoasters: day differences in affect incidence during learning. In: The Twenty-Seventh International Flairs Conference (2014)Google Scholar
  11. European Commission: Latin America - Regional Cooperation - funding - European Commission. European Commission (2014). https://ec.europa.eu/europeaid/regions/latin-america/latin-america-regional-programmes-eu-funding_en. Accessed Nov 2015
  12. Handri, S., Yajima, K., Nomura, S., Ogawa, N., Kurosawa, Y., Fukumura, Y.: Evaluation of student’s physiological response towards e-Learning courses material by using GSR sensor. In: 2010 IEEE/ACIS 9th International Conference on Computer and Information Science (ICIS), pp. 805–810 (2010)Google Scholar
  13. Jraidi, I., Chaouachi, M., Frasson, C.: A hierarchical probabilistic framework for recognizing learners’ interaction experience trends and emotions. Adv. Hum. Comput. Interact. 2014, 16 (2014). Article ID 632630Google Scholar
  14. Marcelino-Jesus, E.; Sarraipa, J.; Ferro-Beca, M.; Jardim-Goncalves, R.: A framework for technological research results assessment. IJCIM – INT. J. COMPUT. INTEG. M. 24 February 2016. doi: 10.1080/0951192X.2016.1145806
  15. Pantic, M., Rothkrantz, L.J.M.: Expert system for automatic analysis of facial expressions. Image Vis. Comput. 18, 881–905 (2000)CrossRefGoogle Scholar
  16. Picard, R.: Affective Computing. The MIT Press, Cambridge (1997)CrossRefGoogle Scholar
  17. Saneiro, M., Santos, O.C., Salmeron-Majadas, S., Boticario, J.G.: Towards emotion detection in educational scenarios from facial expressions and body movements through multimodal approaches. Sci. World J. 2014, e484873 (2014)CrossRefGoogle Scholar
  18. Salmeron-Majadas, S., Arevalillo-Herráez, M., Santos, O.C., Saneiro, M., Cabestrero, R., Quirós, P., Arnau, D., Boticario, J.G.: Filtering of spontaneous and low intensity emotions in educational contexts. In: Conati, C., Heffernan, N., Mitrovic, A., Verdejo, M. (eds.) AIED 2015. LNCS, vol. 9112, pp. 429–438. Springer, Heidelberg (2015)CrossRefGoogle Scholar
  19. Santos, O., Saneiro, M., Boticario, J., Rodríguez-Sánchez, M.: Toward interactive context-aware affective educational recommendations in computer-assisted language learning. New Rev. Hypermedia and Multimedia, 22(1–2), 27–57 (2016). 07 August 2015. doi: 10.1080/13614568.2015.1058428 CrossRefGoogle Scholar
  20. Seidman: Center for the Study of College Student Retention. http://www.cscsr.org/. Accessed Oct 2015.
  21. Luís-Ferreira, F., Sarraipa, J., Jardim-Goncalves, R.: Framework for adaptive knowledge transmission supported by HCI and interoperability concepts. In: Stephanidis, C., Antona, M. (eds.) UAHCI 2014, vol. 8514, pp 370–377. Springer, Heidelberg (2014). doi:  10.1007/978-3-319-07440-5_34. ISBN: 978-3-319-07440-5Google Scholar
  22. Spady, W.: Dropouts from higher education: an interdisciplinary review and synthesis. Interchange 1(1), 64–85 (1970)CrossRefGoogle Scholar
  23. Summerskill, J.: Dropouts from College. In: En, N.S. (ed.) The American College, pp. 627–655. Wiley, New York (1962)Google Scholar
  24. UNESCO: EFA Global Monitoring Report 201. The Education for All Global Monitoring Report - Teaching And Learning: Achieving quality for all, facilitated and supported by UNESCO (ED - 2014/GMR/GS/1). http://unesdoc.unesco.org/images/0022/002266/226662e.pdf. Accessed Jan 2016
  25. Van den Broek, E.L.: Ubiquitous emotion-aware computing. Pers. Ubiquit. Comput. 17, 53–67 (2013)CrossRefGoogle Scholar
  26. Villarejo, M., Zapirain, B., Zorrilla, A.: Algorithms based on CWT and classifiers to control cardiac alterations and stress using an ECG and a SCR. Sensors 13, 6141–6170 (2013)CrossRefGoogle Scholar
  27. Zhai, J., Barreto, A.: Stress recognition using non-invasive technology. In: FLAIRS Conference, pp. 395–401 (2006)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Emmanuelle Gutiérrez y Restrepo
    • 1
    • 2
  • Fernando Ferreira
    • 3
  • Jesús G. Boticario
    • 1
  • Elsa Marcelino-Jesus
    • 3
  • Joao Sarraipa
    • 3
    Email author
  • Ricardo Jardim-Goncalves
    • 3
  1. 1.aDeNu Research Group, Artificial Intelligence Department, Computer Science SchoolUNEDMadridSpain
  2. 2.SIDAR FoundationMadridSpain
  3. 3.CTS, UNINOVA, DEE, Faculdade de Ciências e TecnologiaUniversidade NOVA de LisboaCaparicaPortugal

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