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GaTO: An Ontological Model to Apply Gamification in Intelligent Tutoring Systems.
Diego Dermeval1,2, Josmário Albuquerque2, Ig Ibert Bittencourt2
1Faculty of Medicine, Center of Excellence for Social Technologies, Federal University of Alagoas, Maceió, Brazil.
Frontiers in Artificial Intelligence
|March 18, 2021
Summary
This study introduces an ontological model to formally connect gamification and Intelligent Tutoring Systems (ITSs). This approach enables automated reasoning and interoperability for designing effective gamified ITS.
Area of Science:
- Artificial Intelligence in Education
- Human-Computer Interaction
- Knowledge Representation
Background:
- Intelligent Tutoring Systems (ITSs) use AI for adaptive learning.
- Gamification is increasingly applied in e-learning to enhance student engagement.
- Limited research exists on effectively integrating gamification within ITS frameworks.
Purpose of the Study:
- To formally connect gamification and ITS concepts using ontologies.
- To provide a standardized and formal way to integrate these two fields.
- To facilitate the design of effective gamified Intelligent Tutoring Systems.
Main Methods:
- Development of an ontological model linking gamification and ITS.
- Utilizing ontologies for knowledge representation and automated reasoning.
- Evaluation of the ontological model using a knowledge representation role-based method.
Main Results:
- The proposed ontological model formally integrates gamification and ITS concepts.
- The model supports automated reasoning across various ITS models (gamification, domain, student, pedagogical).
- The model enhances interoperability and designer awareness of best practices.
Conclusions:
- Ontologies provide a robust framework for connecting gamification and ITS.
- The developed model facilitates the design and development of sophisticated gamified ITS.
- The approach supports the creation of intelligent authoring tools for gamified ITS design.
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