Artificial Intelligence and Hybrid Learning in Education: A Conceptual Synthesis for Deep Learning (6C)
DOI:
https://doi.org/10.57125/FS.2026.06.20.02Keywords:
artificial intelligence, conceptual analysis, deep learning, education, hybrid learning.Abstract
Changes in learning patterns are essential to prepare the younger generation with 21st-century competencies. Six competencies (6Cs) are creativity, critical thinking, communication, collaboration, citizenship, and character developed through deep learning, constitute a learning framework that must be conceptually designed. Although Hybrid Learning and Artificial Intelligence (AI) are increasingly used in education, conceptual studies that align the roles of Hybrid Learning and AI in supporting deep learning remain limited. This study employs a qualitative conceptual approach by reviewing and synthesising scholarly articles indexed in reputable international journal databases to explore the complementary roles of Hybrid Learning and AI. The findings reveal that Hybrid Learning functions as an adaptive learning ecosystem that facilitates social interaction, contextual engagement, and experiential learning, thereby supporting the development of communication, collaboration, citizenship, and character. In parallel, AI operates as an intelligent cognitive support system that enhances creativity and critical thinking through data-driven insights, adaptive feedback, learning analytics, and personalised learning pathways tailored to individual learner profiles. Furthermore, the integration of Hybrid Learning and AI enables a more holistic learning environment by bridging human-centred pedagogical approaches with technology-driven personalisation. This synergy not only strengthens learner autonomy and engagement but also promotes continuous assessment and real-time feedback mechanisms. The proposed conceptual framework offers significant theoretical contributions by extending the discourse on deep learning within digitally mediated environments and provides practical implications for educators, instructional designers, and policymakers in designing future-ready learning models. Future research is recommended to empirically validate the proposed framework across diverse educational contexts, investigate the ethical implications of AI integration, and explore its long-term impact on learner outcomes and competency development in dynamic learning environments.
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