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Title: An Artificial Intelligence Case Based Approach to Motivational Students Assessment in (e)-learning Environments
Authors: Ribeiro, Jorge
Dias, Almeida
Marques, José
Ávidos, Lliliana
Araújo, Isabel
Araújo, Nuno
Figueiredo, Margarida
Keywords: (e)-Learning Environments
Students Motivational Assessment
Artificial Intelligence
Logic Programming
Representation and Reasoning
Case Based Reasoning
Decision Support Systems
Issue Date: Jan-2019
Publisher: ACM Digital Library
Citation: Ribeiro, J., Dias, A., Marques, J., Ávidos, L., Araújo, I., Araújo, N. & Figueiredo, M., An Artificial Intelligence Case Based Approach to Motivational Students Assessment in (e)-learning Environments. Proceedings of the 10th International Conference on E-Education, E-Business, E-Management and E-Learning. ICM Digital Library, New York, 2019.
Abstract: In the last decades effective teaching and learning and e-learning environments have been performed in order to construct courses jointly with the collaboration with Industry and High-Level Educational Institutions. On another way there are several terminologies that attempt to specify the best teaching and learning methods applied to engineering, from problem-based learning, project-based learning, work-based learning, teamlearning, self-direct learning for example. However motivational studies and motivational scales typically discard uncertainty characteristic in for quantitatively evaluating the different dimensions on student’s motivational assessment in (e)-learning environments. This paper presents a computerized framework grounded on Artificial Intelligence techniques, namely the Case Based Reasoning approach for problem solving, complemented with a Knowledge Representation and Reasoning method that considers unknown, incomplete or even self-contradictory data or knowledge in the motivational student’s assessment.
ISBN: 978-1-4503-6602-1
Type: article
Appears in Collections:CIEP - Artigos em Livros de Actas/Proceedings
QUI - Artigos em Livros de Actas/Proceedings

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