Student perception of the conversational agent to innovate the educational process of Python programming
DOI:
https://doi.org/10.35588/s9mpgc07Keywords:
Conversational agent, ICT, higher education, teachingAbstract
The general aim of this mixed research is to analyze the perception of the students about the use of the Conversational Agent for Python Programming (ACPP) considering data science. The sample is made up of 25 students of the Bachelor of Earth Sciences who took the Computational Tools course during the 2025 school year at the National Autonomous University of Mexico. Likewise, another sample was used consisting of 5 teachers studying the Master's Degree in Teaching for Upper Secondary Education, NAUM. The results indicate that the ACPP favors the aspects of the learning, motivation, and enthusiasm. Likewise, the decision tree algorithm created 2 forecast models considering the learning style, sex, and technological skills. In conclusion, the ACPP represents a technological alternative for educational innovation because the students can communicate with this conversational agent at any time of the day regardless of the physical location.
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