AI-Driven Learning Model through Notebook LM A Case Study of Information Technology Students.

Abstract

This research aimed to design and develop an AI-driven learning model using the intelligent notebook platform, Notebook LM, as a case study of undergraduate students in the Information Technology program. The objectives were to examine students’ learning achievement after using the model and evaluate their satisfaction with the learning experience. The model enabled learners to interact with their own uploaded documents through intelligent features such as Q&A, Summary, Mind Map, and Podcast. The sample group consisted of 17 undergraduate Information Technology students enrolled in the "Information System Analysis and Design" course. Research instruments included pre-test/post-test assessments and a satisfaction questionnaire. Data were analyzed using t-test, mean, and standard deviation. The results indicated that the developed learning model aligned with the principles of Active Learning and Personalized Learning. The students’ post-test scores were significantly higher than pre-test scores at the .05 level. Additionally, the learners expressed a high to highest level of satisfaction with the model, especially regarding engagement and self-directed learning. These findings demonstrate the potential of Notebook LM as an effective learning support tool in the digital era.