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http://dx.doi.org/10.9708/jksci.2021.26.06.055

Problem Solving Path Algorithm in Distance Education Environment  

Min, Youn-A (Dept. of Applied Software Engineering, Hanyang Cyber University)
Publication Information
Journal of the Korea Society of Computer and Information / v.26, no.6, 2021 , pp. 55-61 More about this Journal
Abstract
As the demand for distance education increases, it is necessary to present a problem solving path through a learning tracking algorithm in order to support the efficient learning of learners. In this paper, we proposed a problem solving path of various difficulty levels in various subjects by supplementing the existing learning tracking algorithm. Through the data set obtained through the path for solving the learner's problem, the path through the prim's minimum Spanning tree was secured, and the optimal problem solving path through the recursive neural network was suggested through the path data set. As a result of the performance evaluation of the contents proposed in this paper, it was confirmed that more than 52% of the test subjects included the problem solving path suggested in the problem solving process, and the problem solving time was also improved by more than 45%.
Keywords
distance education; recursive neural network; Spanning tree; problem solving path;
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