Innovative Teaching Strategies: Implementation of a Chatbot in the Degree of Advertising and Public Relations

Authors

DOI:

https://doi.org/10.31637/epsir-2025-344

Keywords:

educational chatbots, transformers in pln, no-code technology, content analysis, human-machine interaction, digital education, learning optimization, educational accessibility

Abstract

Introduction: Since the creation of ELIZA in 1966, human-machine interaction has significantly evolved with advancements such as Transformer models, revolutionizing natural language processing in education. Methodology: An educational chatbot was developed using a no-code platform that met criteria for ease of use, data ownership, and integration capability. A detailed content analysis was implemented to evaluate student interactions, combining quantitative and qualitative methods. Results: The chatbot proved to be an effective tool in education, facilitating access to personalized information and enhancing exam preparation. The analyzed interactions revealed a high frequency of use and satisfaction among students. Discussion: The results highlight the chatbots’ ability to personalize learning and their potential to integrate into various educational platforms, although challenges were identified in the precision of the responses and adaptation to specific educational contexts. Conclusions: The study confirms the positive impact of chatbots in education and emphasizes the importance of continuing to explore their integration and optimization in educational environments.

Downloads

Download data is not yet available.

Author Biography

Xabier Martínez Rolán, University of Vigo

Full Professor at the University of Vigo, where he also obtained his PhD in Communication in 2016, with international mention and receiving the Extraordinary PhD Award in 2017. His academic and professional career focuses on digital communication, including online communication, interactive project development and digital marketing. At the University of Vigo, he teaches several subjects related to web development, digital communication and online marketing. In addition, he coordinates the Teaching Innovation Group “Academ-IA: Artificial Intelligences in Education”, promoting the integration of emerging technologies in education and the development of critical thinking regarding these technologies.

References

7wData. (2016). Cognitive computing – transforming business analytics. https://7wdata.be/data-analysis/cognitive-computing-transforming-business-analytics

Balta, N. (2023). Ethical considerations in using ai in educational research. Journal of Research in Didactical Sciences, 2(1). https://doi.org/10.51853/jorids/14205 DOI: https://doi.org/10.51853/jorids/14205

Battineni, G., Chintalapudi, N. y Amenta, F. (2020). AI Chatbot Design During an Epidemic Like the Novel Coronavirus. Healthcare, 8(2), 154. https://doi.org/10.3390/healthcare8020154 DOI: https://doi.org/10.3390/healthcare8020154

Car, L. T., Dhinagaran, D. A., Kyaw, B. M., Kowatsch, T., Joty, S., Theng, Y.-L. y Atun, R. (2020). Conversational Agents in Health Care: Scoping Review and Conceptual Analysis. Journal of Medical Internet Research, 22(8), e17158. https://doi.org/10.2196/17158 DOI: https://doi.org/10.2196/17158

Chaix, B., Bibault, J.-E., Pienkowski, A., Delamon, G., Guillemassé, A., Nectoux, P. y Brouard, B. (2019). When Chatbots Meet Patients: One-Year Prospective Study of Conversations Between Patients With Breast Cancer and a Chatbot. JMIR Cancer, 5(1), e12856. https://doi.org/10.2196/12856 DOI: https://doi.org/10.2196/12856

Chaves, A. P. y Gerosa, M. A. (2020). How Should My Chatbot Interact? A Survey on Social Characteristics in Human–Chatbot Interaction Design. International Journal of Human–Computer Interaction, 37(8), 729-758. https://doi.org/10.1080/10447318.2020.1841438 DOI: https://doi.org/10.1080/10447318.2020.1841438

Ghayoomi, M. (2023). Applications of Chatbots in Education. En M. Kuhail, B. Abu Shawar y R. Hammad (Eds.), Trends, Applications, and Challenges of Chatbot Technology (pp. 80-118). IGI Global. https://doi.org/10.4018/978-1-6684-6234-8.ch004 DOI: https://doi.org/10.4018/978-1-6684-6234-8.ch004

Khosravi, M. y Azar, G. (2024). Factors Influencing Patient Engagement in Mental Health Chatbots: A Thematic Analysis of Findings From a Systematic Review of Reviews. Digital Health, 10. https://doi.org/10.1177/20552076241247983 DOI: https://doi.org/10.1177/20552076241247983

Lee, J., Hong, M. y Cho, J. (2024). Development of a content framework of artificial intelligence integrated education considering ethical factors. International Journal on Advanced Science, Engineering and Information Technology, 14(1), 205-213. https://doi.org/10.18517/ijaseit.14.1.19558 DOI: https://doi.org/10.18517/ijaseit.14.1.19558

Martínez Rolán, X. (2024a). Chatbot: Comunicación alternativa. https://rolan.gal/chatbot-comunicacion-alternativa

Martínez Rolán, X. (2024b). La inteligencia artificial generativa en la actualidad: El porqué “de aquellos polvos, estos lodos” [Video]. Conferencia de clausura presentada en el Congreso Internacional de Tecnología Educativa 2023, Sociedad Digital. https://sociedaddigital.info

Martínez-Rolán, X., Corbacho-Valencia, J. M. y Piñeiro-Otero, T. (2023). Uso de las IA generativas en el sector de la comunicación digital y marketing en España. En Management for Digital Transformation (pp. 101-121). Cham: Springer International Publishing. DOI: https://doi.org/10.1007/978-3-031-42060-3_5

Mills, R., Mangone, E. R., Lesh, N., Jayal, G., Mohan, D. y Baraitser, P. (2024). Chatbots That Deliver Contraceptive Support: Systematic Review. J Med Internet Res, 26, e46758. https://doi.org/10.2196/46758 DOI: https://doi.org/10.2196/46758

Müller, O. (2023). ¿Sueñan las inteligencias artificiales con ser autoras? Avances en Psicología Latinoamericana, 41(1), 1-6. https://doi.org/10.12804/revistas.urosario.edu.co/apl/a.13217 DOI: https://doi.org/10.12804/revistas.urosario.edu.co/apl/a.13217

Patel, L. (2023). How AI is Disrupting The Way Educators Teach. Hackermoon. https://hackernoon.com/how-ai-is-disrupting-the-way-educators-teach

Ruan, S., Jiang, L., Xu, J., Tham, B. J.-K., Qiu, Z., Zhu, Y., Murnane, E. L., Brunskill, E. y Landay, J. A. (2019). QuizBot: A Dialogue-based Adaptive Learning System for Factual Knowledge. En Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (pp 1–13). Association for Computing Machinery. https://doi.org/10.1145/3290605.3300587 DOI: https://doi.org/10.1145/3290605.3300587

Turner, R. E. (2023). An Introduction to Transformers. arXiv:2304.10557. https://arxiv.org/abs/2304.10557

Van Pinxteren, M. M. E., Pluymaekers, M. y Lemmink, J. G. A. M. (2020). Human-Like Communication in Conversational Agents: A Literature Review and Research Agenda. Journal of Service Management, 31(2), 203-225. https://doi.org/10.1108/JOSM-06-2019-0175 DOI: https://doi.org/10.1108/JOSM-06-2019-0175

VSI International School. (2021). Importance of Technology Trends in Education. https://vsiinternational.in/technology-trends/

Wang, H., Gupta, S., Singhal, A., Muttreja, P., Singh, S., Sharma, P. y Piterova, A. (2022). An Artificial Intelligence Chatbot for Young People’s Sexual and Reproductive Health in India (SnehAI): Instrumental Case Study. J Med Internet Res, 24(1), e29969. https://doi.org/10.2196/29969 DOI: https://doi.org/10.2196/29969

Zhang, H., Lee, I., Ali, S., DiPaola, D., Cheng, Y. y Breazeal, C. (2022). Integrating ethics and career futures with technical learning to promote ai literacy for middle school students: an exploratory study. International Journal of Artificial Intelligence in Education, 33(2), 290-324. https://doi.org/10.1007/s40593-022-00293-3 DOI: https://doi.org/10.1007/s40593-022-00293-3

Published

2024-11-20

How to Cite

Martínez Rolán, X. (2024). Innovative Teaching Strategies: Implementation of a Chatbot in the Degree of Advertising and Public Relations. European Public & Social Innovation Review, 10, 1–15. https://doi.org/10.31637/epsir-2025-344

Issue

Section

Education