TL;DR
This research aims to design an innovative conceptual framework for AI-based mobile learning tailored to support the systematic self-improvement of faculty teaching competencies in higher education institutions.
Four key revisions to the course are discussed: the adoption of an Intentionally Equitable Hospitality approach, the expansion of support through a community of mentors, the revision of the assessment strategy and the redesign of learning activities in recognition of GAI.
A model for adaptive learning continuity that is helped by artificial intelligence is proposed in this research for use by higher education institutions that are constrained by technological and infrastructural limitations.
The integration of Artificial Intelligence (AI) in education has reshaped learning processes by influencing how students acquire knowledge, engage with materials, and develop academic skills. This article examines studies published between 2022 and 2026 to explore the impact of AI technologies on student learning outco...
The study contributes user-derived design requirements that can guide the development of trustworthy and context-appropriate AI-supported learning platforms for undergraduate ICT students in programming-related courses at the two participating universities; broader generalization to other higher education fields requir...
A notable gap is identified between AI's theoretical potential and practical implementation in resource-constrained institutions, highlighting the need for evidence-based implementation frameworks, ethical guidelines, and inclusive design principles.
Teachers' training on AI competencies, when conducted within the PLE, promotes experiences in open spaces, with certain levels of autonomy, flexibility, and collaboration.
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