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Design, implementation, and evaluation of a chatbot to enhance inclusive learning through universal design for learning in university students

Citation

Ruiz-Lázaro, J., Jiménez-García, E., Martínez-Requejo, S., Redondo-Duarte, S. (2024). Design, Implementation, and Evaluation of a Chatbot to Enhance Inclusive Learning through Universal Design for Learning in University Students. In Díaz-Noguera, M. D., Hervás-Gómez, C., Sánchez-Vera, F. (Coords.), Artificial Intelligence and Education (pp. 111-126). Octaedro. https://doi.org/10.36006/09643-1-07

Abstract

Currently, there are various artificial intelligence tools, such as natural language processors, which are used to enhance teaching and learning processes. In this context, the use of virtual assistants is becoming increasingly common in higher education institutions. This study addresses the design, implementation, and evaluation of a chatbot designed to improve inclusive learning in university students. This artificial intelligence-based system was implemented with undergraduate and postgraduate students in the field of education at Universidad Europea de Madrid. To achieve this, an exploratory and descriptive study with a mixed-methods approach was conducted. A self-perception questionnaire was used as a research instrument to evaluate usability, accuracy, interaction, utility, and satisfaction criteria, along with gathering qualitative feedback. The results revealed highly positive student evaluations of the chatbot, consistently surpassing average ratings of 4.2 out of 5. Furthermore, the correlation between satisfaction with the chatbot and other questions regarding usability, accuracy, interaction, and utility showed direct and significant correlations in all cases. In conclusion, this virtual and conversational assistant proves to be a valuable practice in future chatbot designs for enhancing inclusive learning based on Universal Design for Learning.

Research Projects

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Description

This study was conducted within the framework of Research Project XSAN002310 “Chatbot for student support and formative assessment. Analysis, Design, Implementation” funded by Universidad Europea de Madrid and Banco Santander. Referencias bibliográficas: • Baltazar, C. (2023). Herramientas de IA aplicables a la educación. Technology Rain Journal, 2(2), e15-e15. • Benito-Sánchez, P. (2022). Hábitos en el uso de los asistentes virtuales de voz entre la población de personas con discapacidad visual. RED Visual: Revista Especializada en Discapacidad Visual, 80, 71-82. https://doi.org/10.53094/UQBX7021 • Burgstahler, S. (2015). Universal Design in Higher Education: Promising Practices. DO-IT. University of Washington. https://www.washington.edu/doit/sites/default/files/atoms/files/Universal%20Design%20in%20Higher%20Education_Promising%20Practices.pdf • CAST (2018). Universal Design for Learning Guidelines, version 2.2. http://udlguidelines.cast.org • Cruz, O. D. C., Mariño, G. 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