Title
Integrating affective learning into intelligent tutoring systems.
Abstract
Affectivity has influence in learning face-to-face environments and improves some aspects in students, such as motivation. For that reason, it is important to integrate affectivity elements into virtual environments. We propose a conceptual model that suggests which elements of tutor, student and dialogue should be integrated and implemented into learning systems. We design an ontology guided by methontology, and apply a mathematical evaluation (OntoQA) to determine the richness of the proposed model. The mathematical evaluation states that the proposed model has relationship richness and horizontal nature. We developed a software application implementing the conceptual model in order to prove its effectivity to generate students’ motivation. The findings suggest that the implemented affective learning ontology impacts positively the motivation in students with low academic performance, in female students and in engineering students.
Year
DOI
Venue
2018
10.1007/s10209-017-0524-1
Universal Access in the Information Society
Keywords
Field
DocType
Intelligent tutoring system, Affective learning, Ontology
Ontology,TUTOR,Affective learning,Intelligent tutoring system,Conceptual model,Computer science,Knowledge management,Software,Human–computer interaction,Multimedia
Journal
Volume
Issue
ISSN
17
4
1615-5297
Citations 
PageRank 
References 
1
0.40
11
Authors
4
Name
Order
Citations
PageRank
Samantha Jimenez1188.59
Reyes Juárez-Ramírez25617.83
Víctor H. Castillo373.23
Alan Ramírez-Noriega483.24