Development of A Methodological Model and Technological Solutions for The Software Architecture of An Inclusive and Flexible Learning Platform

Аннотация

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 model, digital pedagogy, Universal Design for Learning (UDL), artificial intelligence (AI), metacognitive approach, learner-centered education, software architecture, API gateway, learning analytics, modular system, UX/UI design. Introduction: The modern education system is This study is grounded in several classical didactic undergoing rapid changes in the context of digital models and contemporary pedagogical approaches, transformation. Especially following the pandemic, the including: widespread adoption of remote and digital learning • J. A. Comenius’s systematic instructional formats has accelerated the transition toward more model, which emphasizes sequencing and progression learner-centered, flexible, and inclusive educational from simple to complex concepts; environments. However, practice shows that most • D. Ausubel’s theory of meaningful learning, existing learning platforms are often based on a single, which focuses on linking new knowledge to prior uniform model and do not adequately consider understanding; differences in students' individual needs, learning pace, or capabilities. • D. Merrill’s first principles of instruction, which promote problem-centered and active learning. The limitations of traditional educational systems— such as standardized assignments, uniform assessment In addition to these classical perspectives, the research approaches, and inflexible interfaces—create barriers integrates mechanisms for instruction, assessment, to effective learning for students with diverse needs. and adaptation based on digital pedagogy, Universal Therefore, modern digital learning platforms should Design for Learning (UDL), competency-based learning, not only be viewed as technical tools, but rather as and metacognitive regulation. pedagogically grounded environments designed to Recent studies conducted after 2020—such as those by foster inclusivity and adaptability. Zawacki-Richter et al. (2021), Castillo-Merino et al. Theoretical Foundations (2022), and Mayer (2021)—have scientifically demonstrated the effectiveness of digital platforms International Journal of Pedagogics 116 https://theusajournals.com/index.php/ijp International Journal of Pedagogics (ISSN: 2771-2281) using AI, learning analytics, multimodal presentations, Merrill (2021), through his First Principles of and personalized learning. Instruction, highlights the effectiveness of learner- centered modules based on problem-solving, example- Research Objective based learning, and active engagement. The main objective of this article is to develop a Salomon & Perkins (2022) emphasize metacognitive methodological model that ensures inclusive and approaches that promote self-analysis, self-evaluation, flexible learning based on digital pedagogy approaches, and self-regulation—elements that underpin the and to design the technological solution for the reflection component of the proposed methodological supporting software architecture. model. The research addresses the following key tasks: 3. Software Architecture and Technological Solutions • To create a learner-centered instructional The WCAG 2.1 standards published by W3C (2021) system grounded in UDL principles; were adopted as core design principles for ensuring an • To develop AI-powered learning analytics inclusive user interface. modules capable of automatically monitoring student The OECD (2023) report provides guidelines for activity and providing real-time recommendations; integrating open APIs, modular CMS platforms, • To design a technically modular, scalable, and learning analytics systems, and UI/UX design principles integrable software platform architecture; in educational platform architecture, which • To ensure coherence between the contributed to the technical blueprint of this study. methodological model and the technical solution. Case studies of international platforms such as Claned METHODS (2022) and FutureLearn (2023) revealed the Recent research in the fields of digital pedagogy, importance of recommendation syste