| Author(s): |
Oliveira, Wilk
;
Assoc Comp Machinery
Total Authors: 2
|
| Document type: | Journal article |
| Source: | CHI PLAY'19: EXTENDED ABSTRACTS OF THE ANNUAL SYMPOSIUM ON COMPUTER-HUMAN INTERACTION IN PLAY; v. N/A, p. 6-pg., 2019-01-01. |
| Abstract | |
Flow experience is an enjoyable feeling highly linked to the learning experience. Identifying whether a student is in flow while using educational systems is critical to measure the quality of systems and the students' learning. Usually, this process is done through intrusive techniques or with a high cost and can not be applied with a large number of students at the same time. In this study, we propose a computational approach to provide automatic student's flow experience identification in educational systems using only the student's data logs from their interactions in the systems. We conducted a systematic literature review to identify the different possibilities currently used to identify student's flow experience in educational systems, as well as a theoretical study associating student's data logs with the flow experience dimensions. Our preliminary results indicate that it is possible to obtain the flow experience in an automatic way. (AU) | |
| FAPESP's process: | 18/07688-1 - Design and automatic detection of flow experience in students and teachers in gamified intelligent educational systems |
| Grantee: | Wilk Oliveira dos Santos |
| Support Opportunities: | Scholarships in Brazil - Doctorate |