Intelligent agent and VARK Model, propose learning strategies according to how they assimilate an individual
DOI:
https://doi.org/10.26507/rei.v13n26.878Abstract
This article presents the results of research obtained through the use of Artificial Intelligence, specifically Intelligent Agents that automatically propose appropriate strategies to take advantage of the predominant learning style of a person to improve their autonomous learning abilities. This investigation was based on the application of the VARK model to a sample of students who registered for the class “Structured Programming”. The task of solving the problems and generating the appropriate computational based tools initially proved difficult for the students (over 60% of the students were failing the course). The Artificial Intelligence identified that the majority of the participating students responded best to visual or auditory aids, and that the appropriate strategies chosen by the system for each individual were: reading, audiovisual material, concept maps and infographics. The project utilized quantitative research techniques and was evaluated using direct closed surveys.Downloads
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