Abstract :

The ASSURE model is a method for designing and implementing lessons developed to optimize the teaching and learning process, particularly in integrating educational technologies. This model assists teachers in creating highly flexible lessons, enabling students to acquire knowledge more effectively through the use of technology and modern teaching methods. AI Chatbots facilitate the automation of responses and support personalized learning for students, while gamification provides an engaging learning environment that helps students develop critical thinking and problem-solving skills in mathematics through the incorporation of game elements. Research findings indicate that the combination of AI Chatbots and gamification in teaching can enhance students’ learning of mathematics, while also increasing engagement and motivation. This paper approaches the ASSURE model and proposes a teaching process utilizing AI Chatbots combined with gamification in a self-regulated learning framework, aiming to guide teachers in organizing mathematics instruction in a scientific and effective manner.

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Keywords :

AI Chatbot, Artificial Intelligence, ASSURE model, Gamification, Self-regulated learning, Teaching maths in primary school

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References :

1. Adedapo, A., & Opoola, B. T. (2021). Levels of integrating the assure model in lesson delivery of selected primary school teachers in Nigeria. Journal of Language Teaching and Research, 12(1), 177-182.
2. Benner, D., Schöbel, S., & Süess, C. (2022, December). Towards Gamified Conversational Agents for Self-Regulated Learning in Digital Education. In ICIS.
3. Benner, D., Schöbel, S., Süess, C., Baechle, V., & Janson, A. (2022). Level-up your learning–Introducing a framework for gamified educational conversational agents.
4. (2017). Learning and educational applications of chatbot technologies, 8 11. Retrieved from Cinglevue: https://www.cinglevue.com/learning-educationalapplications-chatbot-technologies/.
5. Clark, I. Formative assessment: Assessment is for self-regulated learning. Educ. Psychol. Rev. 2012, 24, 205–249.
6. Deng, X.; Yu, Z. A Meta-Analysis and Systematic Review of the Effect of Chatbot Technology Use in Sustainable Education.Sustainability 2023,15, 2940.
7. Dennis, B., Schöbel, S., Janson, A., & Leimeister, J. M. (2024). Engaging Minds–How Gamified Chatbots can Support and Motivate Learners in Digital Education. In Hawaii International Conference on System Sciences (HICSS).
8. González-González, C. S., Muñoz-Cruz, V., Toledo-Delgado, P. A., & Nacimiento-García, E. (2023). Personalized gamification for learning: a reactive chatbot architecture proposal. Sensors, 23(1), 545.
9. Heinich, R., Molenda, M., Russel, J. D., & Smaldino, S. E. (2002). Instructional media and technology for learning. Pearson Education Ltd.
10. Khlaisang, J., & Koraneekij, P. (2024). Roles of Chatbots in Gamified Self-Regulated Learning System to Enhance Achievement Motivation of Learners in Massive Open Online Courses. Electronic Journal of e-Learning, 22(8), 106-120.
11. K. Fryer, K. Nakao, and A. Thompson, “Chatbot learning partners: Connecting learning experiences, interest and competence,” Comput. Human Behav., vol. 93, no. December 2018, pp. 279–289, 2019, doi: 10.1016/j.chb.2018.12.023.
12. K. C. Yeh, A. Toshtzar, L. Guertin, and Y. Yan, “Using spaced repetition and gamification to enhance K-12 student science literacy with on-demand mobile short reads,” Proc. – Front. Educ. Conf. FIE, vol. 2016 Novem, no. April 2018, 2016, doi: 10.1109/FIE.2016.7757361.
13. Megaw,   (2006).  Deconstructing  the  Heinch,  Molenda,  Russell  and  Smaldino  Instructional  Design  Model.  Retrieved  onNovember 9, 2014, from https://ipislam.edu.my/ kplir/Bacaan/Assure/idm_angela.pdf.
14. Molnár,G. and Szüts, Z. 2018. The Role of Chatbots in Formal Education, IEEE16th International Symposium on Intelligent Systems and Informatics (SISY),Subotica, 197- 202. doi= 10.1109/SISY.2018.8524609
15. Smutny and P. Schreiberova, “Chatbots for learning: A review of educational chatbots for the Facebook Messenger,” Comput. Educ., vol. 151, no. June 2019, p. 103862, 2020, doi: 10.1016/j.compedu.2020.103862.
16. Shah, M. AI-Driven Chatbot for Enhancing Learning for Students.
17. Zahran, F. A. (2023). The Impact of ASSURE Model-Based Program on EFL In-Service Preparatory Teachers Teaching Skills and Digital Literacy Skills. International Journal of Research in Education and Science, 9(4), 937-950.
18. Zandvakili, R., Liu, D., Li, A. T., Santhanam, R., & Schanke, S. (2024, June). Design and Evaluation of a Gamified Generative AI Chatbot for Canvas LMS Courses. In International Conference on Human-Computer Interaction (pp. 259-264). Cham: Springer Nature Switzerland.