NotesFAQContact Us
Collection
Advanced
Search Tips
Back to results
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ1461005
Record Type: Journal
Publication Date: 2025-Dec
Pages: 24
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-2196-7091
Available Date: 2025-02-19
Workload Perception in Educational Resource Recommendation Supported by Artificial Intelligence: A Controlled Experiment with Teachers
Alexandre Machado1; Kamilla TenĂ³rio2; Mateus Monteiro Santos1; Aristoteles Peixoto Barros1; Luiz Rodrigues1; Rafael Ferreira Mello3; Ranilson Paiva1; Diego Dermeval1
Smart Learning Environments, v12 Article 20 2025
Researchers are increasingly interested in enabling teachers to monitor and adapt gamification design in the context of intelligent tutoring systems (ITSs). These contributions rely on teachers' needs and preferences to adjust the gamification design according to student performance. This work extends previous studies on teachers' perception of their cognitive effort and dedication to creating and monitoring educational resource recommendations on a simulated gamified educational platform. This study compares teachers' perceptions of workload using one of three scenarios-- manual, automated, and semi-automated--to recommend educational resources through a randomized experiment. In this study, 151 participating teachers evaluated their perception of cognitive effort and time dedicated to creating recommendations for missions and monitoring students on the platform. The results indicate that the teachers' perception that the automated scenario has a lower workload than the manual scenario significantly raises the hypotheses. Our results also suggest that teachers' perception of the textbook scenario is different according to their level of knowledge about Information and Communication Technologies (ICT). For teachers with advanced ICT knowledge, the manual scenario is perceived as a scenario that indicates a more outstanding performance. According to the educational level of the teachers, the perception of mental demand for the automated scenario is significantly different. These significantly contribute to understanding teachers' perceptions when using educational platforms in their classes.
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: 1Federal University of Alagoas, Computing Institute, Maceió, Brazil; 2Freie Universität Berlin, Berlin, Germany; 3Federal Rural University of Pernambuco, Computing Department, Recife, Brazil