Abstract
This paper explores the use of argumentation-based recommendation techniques as persuasive technologies. Concretely, in this work we evaluate how arguments can be used as explanations to influence the behaviour of users towards the use of certain items. The proposed system has been implemented as an educational recommender system for the Federation of Learning Objects Repositories of Colombia that recommends learning objects for students taking into account students profile, preferences, and learning needs. Moreover, the persuasion capacity of the proposed system has been tested over a set of real students.
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Notes
- 1.
1484.12.1-2002 - IEEE Standard for Learning Object Metadata: https://standards.ieee.org/findstds/standard/1484.12.1-2002.html.
- 2.
The complete rule set is not provided due to space restrictions.
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Acknowledgements
This work was funded by the ‘Programa Nacional de Formación de Investigadores COLCIENCIAS’, and by the COLCIENCIAS project 1119-569-34172 from the Universidad Nacional de Colombia. It was also supported by the projects TIN2015-65515-C4-1-R and TIN2014-55206-R of the Spanish government, and by the grant program for the recruitment of doctors for the Spanish system of science and technology (PAID-10-14) of the Universitat Politècnica de València.
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Heras, S., Rodríguez, P., Palanca, J., Duque, N., Julián, V. (2017). Using Argumentation to Persuade Students in an Educational Recommender System. In: de Vries, P., Oinas-Kukkonen, H., Siemons, L., Beerlage-de Jong, N., van Gemert-Pijnen, L. (eds) Persuasive Technology: Development and Implementation of Personalized Technologies to Change Attitudes and Behaviors. PERSUASIVE 2017. Lecture Notes in Computer Science(), vol 10171. Springer, Cham. https://doi.org/10.1007/978-3-319-55134-0_18
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