The Effectiveness of "Notebook" as an Auxiliary Educational Platform in Teaching Arabic Music History

Abstract

The current era is defined by a profound technological revolution, with Artificial Intelligence (AI) permeating sectors such as education, healthcare, and economics. AI has evolved into a daily assistant for organizations and individuals alike, with many institutions integrating AI capabilities into their digital platforms to facilitate rapid and highly accurate information retrieval. By leveraging "fed" data, smart assistants and chatbots provide immediate responses to specialized inquiries. In light of these advancements, this research proposes a method for utilizing Notebook (specifically AI-driven notebooks) as an auxiliary platform for teaching "Arabic Music History." The platform is designed to provide automated responses to student queries, offer simplified instructional videos for each lesson, and generate mental maps. Acting as a 24/7 teaching assistant, the platform is populated with the specific course curriculum to ensure students receive accurate and instantaneous academic support. Furthermore, students can utilize the platform to summarize complex segments of the syllabus and generate various assessment types, including bubble-sheet and essay questions, for self-directed practice. The study employed a quasi-experimental approach, utilizing both an experimental group and a control group. The primary objectives were to introduce the "Notebook" tool, implement it as a supportive platform for Arabic Music History, and measure its pedagogical effectiveness. Statistical analysis of the data revealed that the mean scores of the students in the post-test significantly favored the experimental group. These findings validate the research hypothesis, demonstrating statistically significant differences between the mean scores of the experimental and control groups in favor of the former.