Usefulness Of Ai-Based Reading Platforms In Increasing Reading Ability
DOI:
https://doi.org/10.37547/ajps/Volume05Issue03-08Keywords:
Micro learning, instructional design, instructional methodsAbstract
Its primary scope was to evaluate the impact of micro learning on students in higher education. The sample was composed of first year BA students and a post-test control group design was applied to determine the effectiveness of a micro learning module. The findings showed that micro learning had a positive correlation with learning performance outcomes as well as with the participants’ perceptions about the module. Additionally, the participants from the micro learning group performed better than those in the control group by a significant margin. It can be concluded that engagement and learning performance can be improved by micro learning. The study does have some constraints, and additional research will be undertaken in order to fully understand how best to design and implement micro learning modules. These findings endorse the notion that micro learning can serve as an effective instructional design tool in higher education.
References
Akiba, M., Yamamoto, Y., & Fujimoto, A. (2020). An AI-based reading comprehension support system for middle school students. Journal of Educational Technology Development and Exchange, 13(2), 87-98. https://doi.org/10.11648/j.etde.20200102.12
Blikstein, P. (2018). Artificial intelligence and the future of education. Science Robotics, 3(21), eaat9590. https://doi.org/10.1126/scirobotics.aat9590
Cavanaugh, C., Gillan, K.J., Kromrey, J., Hess, M., & Blomeyer, R. (2019). Personalised learning: A practical guide for engaging students with technology. Corwin Press.
D'Mello, S., & Graesser, A. (2012). Dynamics of affective states during complex learning. Learning and Instruction, 22(2), 145-157. https://doi.org/10.1016/j.learninstruc.2011.08.002
EdTech. (2021). Integrating technology in the classroom: Trends and insights. EdTech Magazine.
Fisher, D., & Frey, N. (2020). The distance learning playbook, grades K-12: Teaching for engagement and impact in any setting. Corwin.
Hernandez, D.J. (2011). Double jeopardy: How third-grade reading skills and poverty influence high school graduation. The Annie E. Casey Foundation.
Iwata, Y., Yokoyama, T., & Umemura, Y. (2020). An AI-based writing feedback system for improving reading comprehension skills. Educational Technology Research and Development, 68(4), 1739-1759. https://doi.org/10.1007/s11423-020-09774-7
Khan, A., & Mutawa, M. (2021). Enhancing reading comprehension skills of Arab EFL learners using an AI-based personalised reading platform. International Journal of Emerging Technologies in Learning, 16(6), 119-136. https://doi.org/10.3991/ijet.v16i06.12695
Kirsch, I., Jungeblut, A., Jenkins, L., & Kolstad, A. (1993). Adult literacy in America: A first look at the results of the National Adult Literacy Survey. National Center for Education Statistics.
Liu, Y., Zou, W., & Wang, Y. (2020). An AI-based personalised reading platform for Chinese primary school students. Journal of Educational Technology Development and Exchange, 13(1), 1-16. https://doi.org/10.11648/j.etde.20200101.11
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Irgasheva Madina Irgashevna

This work is licensed under a Creative Commons Attribution 4.0 International License.