Paper Title :A New Approach to Problem Solving in Education Based on Embedding

Author :Imane Lmati, Hind Khoulimi

Article Citation :Imane Lmati ,Hind Khoulimi , (2023 ) " A New Approach to Problem Solving in Education Based on Embedding " , International Journal of Management and Applied Science (IJMAS) , pp. 22-27, Volume-9,Issue-10

Abstract : Most intelligent tutoring systems ITS provid feedback like hints or messages to facilitate problem-solving in mathematics, but they don’t offer feedback on reasoning strategies. In other words, ITS can’t guide learners towards appropriate didactic concepts (theorems, definitions, etc.) for problem-solving. Our methodology allows for the generation of feedback in human learning environments. It predicts the relevant didactic concepts necessary to solve a given exercise question Q(i) based on existing or previously demonstrated data (Q(i-1), Q(i-2), etc.) using the Math-Bridge ontology. The approach involves segmenting concept instances in the ontology and exercises into prerequisites and outcomes. The purpose of this segmentation is to compare the prerequisites and outcomes of concept-exercise pairs (Ci-E) in order to identify the most suitable concepts for solving a specific exercise, achieved through similarity calculations based on embedding. On the other hand, our approach utilizes a new strategy for vectorizing mathematical text, enabling the resolution of NLP problems specific to mathematical texts in order to exploit them in other deep learning issues. For the evaluation phase, we tested our approach on a set of exercises taken from mathematics education platforms and compared the number of concepts generated by our approach with those of experts. Our approach shows promising potential for exercise resolution. Keywords - Ontology, Didactic concept, Semantic similarity, Mathematical problem, Deep learning.

Type : Research paper

Published : Volume-9,Issue-10

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