Problem Solving Path Algorithm in Distance Education Environment (원격교육환경의 문제해결을 위한 경로 알고리즘)

Youn-A Min (민연아)

doi:10.9708/jksci.2021.26.06.055

Problem Solving Path Algorithm in Distance Education Environment

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2021, 26(6), pp.55-61
DOI : 10.9708/jksci.2021.26.06.055
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : May 3, 2021
Accepted : June 28, 2021
Published : June 30, 2021

Youn-A Min ¹

¹한양사이버대학교

Accredited

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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* References for papers published after 2023 are currently being built.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Problem Solving Path Algorithm in Distance Education Environment

ABSTRACT

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Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Problem Solving Path Algorithm in Distance Education Environment

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.