Raja Touahni

Work place: Software Project Management Research Team, University Mohammed V, ENSIAS, Rabat, Morocco

E-mail: k.nafil@um5s.net.ma


Research Interests: Artificial Intelligence, Computer Vision, Image Processing, Data Mining, Data Compression, Data Structures and Algorithms, Data Structures


Touahni Raja is currently professor at Ibn Tofail University, Faculty of science, Kenitra- Morocco. She received his PhD in Microelectronics from the University Paul Sabatier, Toulouse, France, in September 1986. In 2001, she received the Ph.D degree in the field of Data Analysis at the same faculty. His main research interests are Image Processing, Data Analysis, Artificial Intelligence, Cognitive Science and Artificial Thinking, Computer Vision.

Author Articles
Knowledge Representation by Analogy for the Design of Learning and Assessment Strategies

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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