Development and use of Virtual Tutor in commercial research teaching
DOI:
https://doi.org/10.31637/epsir-2026-2187Keywords:
App development, virtual tutor, Bayesian networks, applied research, learning characteristicsAbstract
Introduction: The objective of this research work was to develop a virtual tutor and analyze relationships and usage patterns for learning. Methodology: It is divided into three stages: project design and development, installation and execution of the virtual tutor app on mobile devices, and analysis of the student experience. The study design is prospective, cross-sectional, with a relational approach. It uses psychometric cross-sectional Bayesian neural network analysis techniques and gender analysis criteria based on male and female. The study population is composed of students in the commercial research course. Results: The virtual tutor app was designed, implemented, and executed using the MIT® App Inventor platform, and a Bayesian network model was built. Discussion: Positive relationships are observed regarding innovativeness and fun, understanding of concepts, learning costs, and usefulness for learning. In addition, interactiveness, dynamicness, innovation, understanding of concepts and processes, reduction of learning time and costs, and the use of the tutor as a learning tool stand out. Conclusions: There are slight differences in the learning patterns of the networks analyzed.
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