Development of A Methodological Model and Technological Solutions for The Software Architecture of An Inclusive and Flexible Learning Platform
Abstract
This article presents the development of a methodological model and technological solutions for the software architecture that support inclusive and flexible digital learning. The main objective of the research is to design a pedagogically grounded and technologically effective platform model aimed at creating a learner-centered educational environment based on metacognitive and competency-based approaches.
The methodological model systematizes content, assessment, and instructional strategies based on Universal Design for Learning (UDL), adaptive teaching, feedback mechanisms, reflection, and self-assessment. The software architecture is designed in accordance with AI, learning analytics, API gateway, modular CMS, and UX/UI design standards. These comprehensive solutions offer effective implementation of inclusivity, flexibility, and personalization principles in a digital environment.
Keywords
Inclusive education, flexible platform, methodological modelHow to Cite
References
CAST. (2020). Universal Design for Learning Guidelines version 2.2. Center for Applied Special Technology (CAST). https://udlguidelines.cast.org
Mayer, R. E. (2021). Multimedia Learning (3rd ed.). Cambridge University Press.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2021). Systematic review of research on artificial intelligence applications in higher education – Where are the educators? International Journal of Educational Technology in Higher Education, 18(1), 3. https://doi.org/10.1186/s41239-021-00249-6
Castillo-Merino, D., Vilaseca-Requena, J., & Lladós-Masllorens, J. (2022). Digital transformation and inclusive education: A systematic review. Education and Information Technologies, 27(5), 6891–6915. https://doi.org/10.1007/s10639-022-11002-7
W3C. (2021). Web Content Accessibility Guidelines (WCAG) 2.1. World Wide Web Consortium (W3C). https://www.w3.org/TR/WCAG21/
OECD. (2023). Digital education outlook: Pushing the frontiers with AI, UDL, and learning analytics. OECD Publishing. https://www.oecd.org/education
FutureLearn. (2023). Inclusive learning design in digital platforms. https://www.futurelearn.com/info/blog/inclusive-learning-design
Claned. (2022). Adaptive learning powered by AI and data analytics. https://claned.com
Jou, M., Lin, Y.-T., & Tsai, H.-C. (2023). Enhancing inclusive education using ICT: Comparative analysis of Taiwan and international models. Educational Technology & Society, 26(1), 12–25.
ISO/IEC. (2020). ISO/IEC 40500:2012 (equivalent to WCAG 2.0). International Organization for Standardization. https://www.iso.org/standard/58625.html
Fayzieva, M. R. (2023). Raqamli pedagogikada metodik yondashuvlar va o‘qitish samaradorligi. Raqamli ta’lim jurnali, 2(1), 34–41.
Qodirov, A. (2022). Sun’iy intellekt va learning analytics asosida shaxsiylashtirilgan o‘quv muhitini loyihalash. O‘zDJTU ilmiy jurnali, 4(3), 88–95.
UNESCO. (2021). Reimagining our futures together: A new social contract for education. Paris: UNESCO Publishing. https://unesdoc.unesco.org
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