Autors: Ivanova, M. S., Petrova, T. S.
Title: Analysis of relationship between students’ creative skill and learning performance
Keywords: Creativity, Learning performance, Machine learning, J48, AdaBoost.M1, RandomTree, Classification models

Abstract: The aim of the paper is to explore the relationship between students’ creative ability and learning performance through solving classification problems. The data is gathered via survey tool that is online delivered to students from College of Energy and Electronics at Technical University of Sofia. Dataset is used for decision-making models creation through utilization of three machine learning algorithms: J48, AdaBoost.M1 and RandomTree that are compared and evaluated concerning their performance. The models point out as the best predictors for evaluation the relationship between creativity and learning performance: creation of course work according to the first idea, working pace, the frequency for realization the new idea in practice, the ability for combination existing ideas to produce something new and factors that influence on the course work quality.



    Methodologies and Intelligent Systems for Technology Enhanced Learning, 10th International Conference. Workshops. MIS4TEL 2020. Advances in Intelligent Systems and Computing, vol. 1236, pp. 66-75, 2021, Italy, Springer, Cham, Print ISBN: 978-3-030-52286-5,

    Copyright Springer, Cham

    Вид: публикация в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus