Work place: Ibn Tofail University, Faculty of Science, Kenitra, Morocco
E-mail: mestadi.walid@gmail.com
Website:
Research Interests: Artificial Intelligence, Computer Architecture and Organization, Systems Architecture, Data Structures and Algorithms
Biography
Mestadi Walid received his M.S. degree in software quality in 2012 from Ibn Tofail University, Faculty of science, Kenitra- Morocco. Currently he is preparing a PhD at the same faculty. His research interests include learning, serious games, software architecture and artificial intelligence.
By Walid Mestadi Khalid Nafil Raja Touahni Rochdi Messoussi
DOI: https://doi.org/10.5815/ijmecs.2017.06.02, Pub. Date: 8 Jun. 2017
The difficulty of learning a novel knowledge may not be the same for each learner. Often instructors try to find the easiest way to make a new knowledge understandable by most learners, but few of them give importance to the use of analogies which is the common practice in real life situations. This paper attempts to highlight that learning by analogy allows making the understanding of a novel and complicated knowledge easier. We first propose a model that represents the desired knowledge in an abstract way which allows us to find analogies in different domains. Based on these analogies, learning and assessment strategies can be derived in order to improve the learning outcome. Secondly, the design of a computer system that integrates the analogies, learning and assessment strategies into a digital learning environment is proposed.
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