The Role of Artificial Intelligence in Enhancing Elementary School Students' Reading Interest: A Systematic Literature Review
DOI:
https://doi.org/10.24256/ideas.v13i2.6297Keywords:
Artificial Intelligence, Reading Interest, Elementary School StudentsAbstract
Reading interest plays a crucial role in the development of literacy skills among elementary school students. The advancement of Artificial Intelligence (AI) has led to various innovations in education, particularly in fostering students' engagement with reading materials. This study aims to analyze the impact of AI on improving reading interest in elementary students through a Systematic Literature Review (SLR) approach. Various studies from online databases were collected and reviewed to examine how AI-based tools influence reading motivation. The findings suggest that AI applications such as interactive storytelling, personalized learning assistants, and adaptive reading platforms significantly contribute to increasing students' enthusiasm for reading. However, challenges such as accessibility, teacher readiness, and content suitability remain key concerns. This study provides insights for educators and policymakers in integrating AI effectively to enhance early literacy development.
References
Brunner, M. (2017). The role of interactivity in digital stories: Enhancing engagement through interactive narratives. Journal of Educational Technology, 19(3), 200-214.
Ertmer, P. A., & Ottenbreit-Leftwich, A. T. (2010). Teacher technology change: How knowledge, confidence, beliefs, and culture intersect. Journal of Research on Technology in Education, 42(3), 255–284.
Guri-Rosenblit, S. (2005). E-learning: The key challenges. International Journal of Educational Management, 19(4), 320-334.
Hamari, J., Koivisto, J., & Sarsa, H. (2016). Does gamification work? A literature review of empirical studies on gamification. 2014 47th Hawaii International Conference on System Sciences, 3025–3034.
Ismayanti, D., & Syam, A. T. (2022). The Community Manipulation through Big Brother’ s Tyranny in George Orwell’ s Nineteen Eighty-Four. IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature, 10(2), 1556â-1569.
Ismayanti, D., Said, Y. R., Usman, N., & Nur, M. I. (2024). The Students Ability in Translating Newspaper Headlines into English A Case Study. IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature, 12(1), 108-131.
Jackson, C., Mohr‐Schroeder, M., Bush, S., Maiorca, C., Roberts, T., Yost, C., … & Fowler, A. (2021). Equity-oriented conceptual framework for k-12 stem literacy. International Journal of Stem Education, 8(1). https://doi.org/10.1186/s40594-021-00294-z
Kukulska-Hulme, A. (2020). Mobile language learning: Strategies for a new learning environment. Open Learning: The Journal of Open, Distance and e-Learning, 35(3), 213-224.
Lindgren, R., & McDaniel, R. (2012). Fueling engagement through an interactive storytelling experience. Computers and Education, 59(2), 1186-1194.
Mouza, C., Yang, H., Pan, Y. C., & Pollock, L. (2019). The role of teacher professional development in shaping the integration of technology in classrooms. Journal of Educational Technology & Society, 22(2), 46-58.
Penuel, W. R., Sherer, D., Hill, H. C., & Sabelli, D. (2017). Creating a framework for designing technology-rich learning environments. Educational Researcher, 46(7), 391-405.
Regan, P. M., & Jesse, S. (2019). The ethical implications of AI in education: A critical review. Journal of Educational Technology, 20(1), 32-47.
Wang, F., Zheng, F., & Wang, S. (2021). AI tutoring systems: Improving learning performance through personalized interventions based on learning analytics. Journal of Educational Technology & Society, 24(3), 132-145.
Zhao, X. and Yan-jun, Y. (2021). A study on the application of blended teaching to english reading course under the background of artificial intelligence. Iop Conference Series Earth and Environmental Science, 693(1), 012019. https://doi.org/10.1088/1755-1315/693/1/012019
Zhao, Y., Yusof, S., Hou, M., & Li, Z. (2024). How can generative artificial intelligence help teachers in early childhood education with their teaching? analyses from the perspective of teaching methods. International Journal of Academic Research in Progressive Education and Development, 13(1). https://doi.org/10.6007/ijarped/v13-i1/20958
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