Volume: 3 Issue: Special Issue 1
Year: 2026, Page: 97-103, Doi: https://doi.org/10.70372/jeltp.v3.sp1.14
The integration of Artificial Intelligence (AI) into higher education is reshaping teaching–learning processes, particularly in the preparation and dissemination of instructional materials. This study presents an innovative academic practice that utilizes the Notebook Language Model (Notebook LM) to develop enriched, multimodal teaching resources. A curated Portable Document Format (PDF) containing essential theoretical concepts and key discussion points was uploaded into Notebook LM, which autonomously generated a suite of pedagogical outputs including concise summaries, structured mind maps, briefing documents, frequently asked questions, and an audio-based explanatory narrative. These resources supported learners in understanding complex topics by enabling visualization of conceptual linkages, interpretation of process flows, and access to concise content-based summaries. Implementation of this AI-enabled resource generation enhanced learner engagement, improved conceptual clarity, and accommodated diverse learning preferences through multimodal content delivery. The practice also demonstrated significant benefits for instructors by streamlining the development of aligned, outcome-driven teaching materials. Findings indicate that the effectiveness of Notebook LM outputs is strongly dependent on the quality and structure of the input document, underscoring the continued role of educators in curating and contextualizing instructional content in alignment with intended learning outcomes and Bloom’s taxonomy levels. This study contributes to emerging evidence on the pedagogical value of AI-assisted material development and highlights its potential to enrich higher education teaching practices when integrated with informed academic oversight.
Keywords: Artificial Intelligence (AI); Notebook Language Model; Teaching-Learning Enhancement; Instructional Material Development; Higher Education Innovation; AI-Assisted Pedagogy; Learning Resource Generation; Educational Technology; Mind Map Automation
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