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An artificial intelligence case based approach to motivational students assessment in (e)-learning environments

Published: 10 January 2019 Publication History

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, team-learning, 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.

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  • (2024)Emerging technologies in higher education assessment and feedback practices: A systematic literature reviewJournal of Systems and Software10.1016/j.jss.2024.111988211(111988)Online publication date: May-2024
  • (2021)Towards the Development of an Adaptive E-learning System with Chatbot Using Personalized E-learning ModelProceedings of the 7th International Conference on Frontiers of Educational Technologies10.1145/3473141.3473236(120-125)Online publication date: 4-Jun-2021
  • (2021)An educational decision support system: case of learners clustering2021 8th International Conference on ICT & Accessibility (ICTA)10.1109/ICTA54582.2021.9809425(1-3)Online publication date: 8-Dec-2021

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cover image ACM Other conferences
IC4E '19: Proceedings of the 10th International Conference on E-Education, E-Business, E-Management and E-Learning
January 2019
469 pages
ISBN:9781450366021
DOI:10.1145/3306500
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 10 January 2019

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Author Tags

  1. (e)-learning environments
  2. artificial intelligence
  3. case based reasoning
  4. decision support systems
  5. knowledge representation and reasoning
  6. logic programming
  7. students motivational assessment

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Cited By

View all
  • (2024)Emerging technologies in higher education assessment and feedback practices: A systematic literature reviewJournal of Systems and Software10.1016/j.jss.2024.111988211(111988)Online publication date: May-2024
  • (2021)Towards the Development of an Adaptive E-learning System with Chatbot Using Personalized E-learning ModelProceedings of the 7th International Conference on Frontiers of Educational Technologies10.1145/3473141.3473236(120-125)Online publication date: 4-Jun-2021
  • (2021)An educational decision support system: case of learners clustering2021 8th International Conference on ICT & Accessibility (ICTA)10.1109/ICTA54582.2021.9809425(1-3)Online publication date: 8-Dec-2021

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