URI | http://purl.tuc.gr/dl/dias/E54E5EC8-8F40-47AA-A11D-2298EEF2BB44 | - |
Αναγνωριστικό | https://doi.org/10.1002/cae.22191 | - |
Αναγνωριστικό | https://onlinelibrary.wiley.com/doi/full/10.1002/cae.22191 | - |
Γλώσσα | en | - |
Μέγεθος | 11 pages | en |
Τίτλος | Forming automatic groups of learners using particle swarm optimization for applications of differentiated instruction | en |
Δημιουργός | Zervoudakis Konstantinos | en |
Δημιουργός | Ζερβουδακης Κωνσταντινος | el |
Δημιουργός | Mastrothanasis Konstantinos | en |
Δημιουργός | Tsafarakis Stelios | en |
Δημιουργός | Τσαφαρακης Στελιος | el |
Εκδότης | John Wiley and Sons | en |
Περίληψη | The aim of this paper is to present a method that uses computational intelligence techniques to classify students according to the principles of differentiated instruction. A clustering algorithm based on particle swarm optimization is applied to two sets of data emerging from the holistic assessment of the student's particular characteristics and needs. The results illustrate the algorithm's contribution to the effective formation of heterogeneous student groups, with the members of each having homogeneous characteristics of skills, difficulties, psychosocial and cognitive profiles. Thus, the teacher can easily manage students, by knowing the characteristics of each group. A comparison with a genetic algorithm as well as cuckoo search algorithm shows that the proposed method provides improved categorization capabilities. | en |
Τύπος | Peer-Reviewed Journal Publication | en |
Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
Ημερομηνία | 2020-10-29 | - |
Ημερομηνία Δημοσίευσης | 2020 | - |
Θεματική Κατηγορία | Differentiated instruction | en |
Θεματική Κατηγορία | Group design | en |
Θεματική Κατηγορία | Holistic assessment | en |
Θεματική Κατηγορία | NP-hard problem | en |
Θεματική Κατηγορία | Particle swarm optimization | en |
Βιβλιογραφική Αναφορά | K. Zervoudakis, K. Mastrothanasis and S. Tsafarakis, "Forming automatic groups of learners using particle swarm optimization for applications of differentiated instruction," Comput. Appl. Eng. Educ., vol. 28, no. 2, pp. 282-292, Mar. 2020. doi: 10.1002/cae.22191 | en |