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@article{182204,
        author = {Priyanka Bhasin},
        title = {TITLE: HYBRIDIZING INTELLIGENCE IN DIGITAL PEDAGOGY: A MULTILAYERED COMPARATIVE STUDY OF STUDENT ENGAGEMENT, LEARNING RETENTION, AND COGNITIVE LOAD IN HUMAN-INSTRUCTED VERSUS AI-AUGMENTED ONLINE EDUCATION SYSTEMS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {1079-1084},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182204},
        abstract = {This research investigates the comparative effectiveness of human-instructed and AI-augmented online education systems through a multilayered analysis of student engagement, learning retention, and cognitive load. With the increasing adoption of artificial intelligence in digital pedagogy, it is critical to assess whether AI integration enhances or impairs learning experiences. This study utilizes mixed-methods data collection, including surveys, system analytics, and cognitive task analysis, to evaluate outcomes across two cohorts—one taught by human instructors and the other supported by AI-driven instructional tools. Findings indicate that AI-augmented environments outperform in adaptive engagement and personalized feedback, while human-instructed platforms show superior performance in relational engagement and conceptual depth. The results offer insights into designing hybrid pedagogical frameworks for maximizing learner outcomes.},
        keywords = {Artificial Intelligence, Digital Pedagogy, Student Engagement, Learning Retention, Cognitive Load, Human Instruction, AI-Augmented Learning},
        month = {July},
        }