| Texto completo | |
| Autor(es): Mostrar menos - |
Penteado, Bruno Elias
;
Isotani, Seiji
;
Pereira Paiva, Paula Maria
;
Morettin-Zupelari, Marina
;
Ferrari, Deborah Viviane
;
Isotani, S
;
Millan, E
;
Ogan, A
;
Hastings, P
;
McLaren, B
;
Luckin, R
Número total de Autores: 11
|
| Tipo de documento: | Artigo Científico |
| Fonte: | ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2019, PT II; v. 11626, p. 6-pg., 2019-01-01. |
| Resumo | |
Student-centered courses rely on the active participation of the students in forum assignments. In this work, we investigate a course where the forum assignment discusses a clinical case among professional students (N = 94). We propose a method to discover navigation patterns related to performance grades, using behavioral actions in an LMS platform. We selected a set of significant course actions and built per-user sequences along the course module. Then, we applied the GSP algorithm to identify ordered patterns from this navigational data. The identified patterns were then used as features for a linear regression model, to predict the assignments' performance, graded manually by the teachers, and controlling for factors that may influence it. Results show some rules correlated to the students' performances. These results can be used to better inform course designers on how to improve the courseware and instructors on how to better guide their students. (AU) | |
| Processo FAPESP: | 15/24507-2 - Ecossistema para produção e consumo de dados abertos conectados e sua aplicação no contexto educacional |
| Beneficiário: | Seiji Isotani |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |