| 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, Ada 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. References Issue
Copyright Springer, Cham |
Цитирания (Citation/s):
1. Parra-Domínguez, J., Manzano, S., Gil-Egido, A., De la Prieta, F., Chamoso, P., & Rodríguez-González, S. (2022, November). Evaluation of the Bibliographical Importance of Digital Educational Disruption Related to Social Networks. The Case of LinkedIn Learning. In Methodologies and Intelligent Systems for Technology Enhanced Learning, 12th International Conference (pp. 81-86). Cham: Springer International Publishing. - 2022 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
Вид: публикация в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus
