Work place: Ibn Tofail University, Faculty of Science, Kenitra, Morocco
E-mail: messoussi@gmail.com
Website:
Research Interests: Computational Social Science, Artificial Intelligence, Computing Platform, Social Information Systems, Social Sciences, Arts and Humanities
Biography
Messoussi Rochdi is currently professor at Ibn Tofail University, Faculty of science, Kenitra- Morocco. He received his PhD degree in solid state physics from the University of Nantes, France, in 1990. In 2001 he received the master degree in the use of IT for learning from the University of Strasbourg, France. For the last 15 years, he has been carrying out research, about Human Computer Interaction to promote learning and education. His main research interests are Artificial Intelligence, Computing in Social science, Arts and Humanities.
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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