Assesment of digital learning in Mathematics using AI Chatbots with Pre-service Teachers
DOI:
https://doi.org/10.5380/atoz.v14.92157Keywords:
ChatbotAbstract
Introduction: This study aims to bring the students of Didactics of Geometry of the Primary Education Degree closer to Artificial Intelligence (AI) through the creating of chatbots in the framework of the subject. We worked with 125 students from the University of Malaga (Spain), evaluating both the creation of chatbot with Snatchbot and its integration into Telegram, as well as its acceptance as a support tool in the evaluation of learning. Method: The research was developed through a didactic sequence structured in several phases. Initially, basic knowledge about chatbot generation and its implementation in Telegram was provided. Subsequently, students designed and implemented their own chatbots, evaluating their functionality and usefulness in the assessment of the subject. This is analyzed through questionnaires. Results: The data obtained reflect a high level of student interest in the creation of chatbots and their potential use in evaluation processes. The students were able to successfully integrate the bots in Telegram, demonstrating their applicability in the educational environment. In addition, a positive perception was evidenced regarding the usefulness of chatbots as a complementary tool in mathematics learning assessment. Conclusion: The experience has shown that the creation of chatbots in the educational context not only favors the learning of new technologies but also offers an innovative tool for learning mathematics assessment. This approach can be extrapolated to other educational contexts, providing value both in teaching and in the digital assessment of learning.
References
Adamopoulou, E., & Moussiades, L. (2020). An overview of chatbot technology. IFIP international conference on artificial intelligence applications and innovations (pp. 373-383). Springer. https://link.springer.com/chapter/10.1007/978-3-030-49186-4_31?ref=blog.min.io
Arabit García, J., & Prendes Espinosa, M. P. (2020). Metodologías y Tecnologías para enseñar STEM en Educación Primaria: análisis de necesidades. Pixel-Bit: Revista de medios y comunicación, 57,107-128. 10.12795/pixelbit.2020.i57.04
Artiles Rodríguez, J., Guerra Santana, M., Aguiar Perera, M.V., & Rodríguez Pulido, J. (2021). Agente conversacional virtual: la inteligencia artificial para el aprendizaje autónomo. Pixel-Bit: Revista de Medios y Educación, 62, 107-144. 10.12795/pixelbit.86171.
Auqui, J. A. O. (2021). Chatbot del proceso de aprendizaje universitario: una revisión sistemática. Revista de Investigación Científica y Tecnológica Alpha Centauri, 2(2), 29-43. 10.47422/ac.v2i2.33
Bonales, G., Pradilla, N., & Martínez, E. (2020). Chatbot como herramienta comunicativa durante la crisis sanitaria COVID-19 en España. ComHumanitas: revista científica de comunicación, 11(3), 1-22. 10.31207/rch.v11i3.270 EdUFF
Chan, L., Hogaboam, L., & Cao, R. (2022). Artificial intelligence in education. Applied Artificial Intelligence in Business: Concepts and Cases (pp. 265-278). Cham: Springer International Publishing. https://link.springer.com/content/pdf/10.1007/978-3-031-05740-3.pdf
Díaz Durán, M., & Svetlichich, M. (2016). Nuevas herramientas tecnológicas en la educación superior. Proyecciones, 11, 93-149. http://sedici.unlp.edu.ar/handle/10915/71234
Echeverría-Samanes, B., & Martínez-Clares, P. (2018). Revolución 4.0, competencias, educación y orientación. Revista digital de investigación en docencia universitaria, 12(2), 4-34. 10.19083/ridu.2018.831
Flores-Vivar, J. M., & García-Peñalvo, F. J. (2023). La vida algorítmica de la educación: Herramientas y sistemas de inteligencia artificial para el aprendizaje en línea. McGraw-Hill. https://repositorio.grial.eu/handle/grial/2871
Henríquez, C., Sánchez-Torres, G., & Salcedo, D. (2021). Tashi-Bot: A Intelligent Personal Assistant for Users in an Educational Institution. Preprints, 2021080380. 10.20944/preprints202108.0380.v
Hernández, R., Fernández, C., y Baptista, P. (2018). Metodología de la investigación. McGrawHill Interamericana.
Hidalgo Suárez, C. G., Llanos Mosquera, J. M., & Bucheli Guerrero, V. A. (2021). Una revisión sistemática sobre aula invertida y aprendizaje colaborativo apoyados en inteligencia artificial para el aprendizaje de programación. Tecnura, 25(69), 196-214. 10.14483/22487638.16934
León, R. S., & Silva, M. (2021). Inteligencia Artificial y su intervención en la justicia, ¿una realidad próxima? Legem, 7(2), 101- 111. 10.15648/legem.2.2021.3116 15-21.
Llinares, F. M. (2018). Inteligencia artificial y justicia penal: más allá de los resultados lesivos causados por robots. Revista de Derecho Penal y Criminología, (20), 87-130. 10.5944/rdpc.20.2018.26446
Masías, E. J. F., Segovia, J. H. L., Casique, A. G., & Díaz, M. E. D. (2023). Análisis de sentimientos con inteligencia artificial para mejorar el proceso enseñanza-aprendizaje en el aula virtual. Revista Publicaciones, 53(2), 185-216. 10.30827/publicaciones.v53i2.26825
Melo, J. N. B., de Lima, J. V., & do Canto Filho, A. B. (2020). A tarefa de casa na disciplina de matemática mediada por assistente virtual de comunicação-Chatbot. Revista Eletrônica de Educação Matemática, 15(1), 1-20. 10.5007/1981-1322.2020.e58129
Mora, M. (2020). Chatbots para resolver dudas frecuentes de los estudiantes en una materia. [Tesis Doctoral no publicada]. Universidad Nacional de Loja.
Padilla, R. D. M. (2019). La llegada de la inteligencia artificial a la educación. Revista de Investigación en Tecnologías de la Información: RITI, 7(14), 260-270. 10.36825/RITI.07.14.022
Porcelli, A. M. (2020). La inteligencia artificial y la robótica: sus dilemas sociales, éticos y jurídicos. Derecho global. Estudios sobre derecho y justicia, 6(16), 49-105. 10.19083/ridu.2018.831.
Prahani, B. K., Rizki, I. A., Jatmiko, B., Suprapto, N., & Amelia, T. (2022). Artificial Intelligence in Education Research During the Last Ten Years: A Review and Bibliometric Study. International Journal of Emerging Technologies in Learning, 17(8),
Rodríguez Lima, M., & Martínez Rodríguez, J. (2021). La ProfeBot, un chat para la educación. INNOVA UNTREF. Revista Argentina De Ciencia Y Tecnología, 1(8). https://www.revistas.untref.edu.ar/index.php/innova/article/view/1240
Ruíz-Rey, F., & Moral-Sánchez, S.N. (2023). Chatbots en didáctica de la geometría para el aprendizaje en entornos de formación inicial del profesorado. En C. Cristófol, P. López, & A. M. Martínez (Eds.), Comunicación en Código Digital, (pp. 229-235). Editorial Tecnos.
Sarosa, M., Kusumawardani, M., Suyono, A., & Wijaya, M. H. (2020). Developing a social media based Chatbot for English learning. IOP Conference Series: Materials Science and Engineering, 732(1), 1-6. 10.1088/1757-899X/732/1/0120742014
Smutny, P., & Schreiberova, P. (2020). Chatbots for learning: A review of educational chatbots for the Facebook Messenger. Computers & Education, 151, 103862. 10.1016/j.compedu.2020.103862
Villarroel, J. J. G. (2021). Implicancia de la inteligencia artificial en las aulas virtuales para la educación superior. Orbis Tertius-UPAL, 5(10), 31-52. https://www.biblioteca.upal.edu.bo/htdocs/ojs/index.php/orbis/article/view/98
Wu, R., & Yu, Z. (2023). Do AI chatbots improve students learning outcomes? Evidence from a meta‐analysis. British Journal of Educational Technology, 23, 1-30. 10.1111/bjet.13334
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