FOCUS GROUP ANALYSIS ON INFORMATION PERCEPTION WITH ARTIFICIAL INTELLIGENCE-ASSISTED SUMMARIZATION

The influence of artificial intelligence in facilitating daily living has led to its growing adoption across all sectors. In academic writing and education, the significance of artificial intelligence is growing as it rapidly analyzes data, enhances information accessibility, and possesses the capability to summarize, clarify, and elucidate concepts, hence improving understanding for non-experts. This study was conducted in the realm of education, specifically focusing on adaptive learning, with the research issue addressing the extent of material comprehension facilitated by AI summarization. In the study, to assess information perception, a chosen article was read to 12 individuals from a focus group of 24 via the AI-assisted summarizing tool NotebookLM, while the remaining 12 individuals listened to the article. The participants were inquired about the article's title, central theme, subject of the academic investigation, pertinent constitutional provision, data source, volume of data, analytical methodology, findings, and prospective research inquiries. The provided responses were classified as correct or wrong. The K Independent Samples analysis, a non-parametric test, was employed in the data analysis. The findings indicated no disparity between the reading and listening groups about their comprehension of the constitutional article examined, the data source, and the nation in which the research was done. Nonetheless, disparities arise between the reading and listening groups regarding the article title, the emphasis of the academic study, the topic matter, the volume of data, the analytical methodology, the findings, and the prospective research objectives. Consequently, it has been noted that there is no distinction between readers and listeners regarding the acquisition of fundamental and superficial knowledge in the study. Nonetheless, the study's significance lies in the observation that listeners demonstrated a disparity in accurately responding to queries necessitating greater detail in comparison to readers. In this context, AI-assisted summarization not only enhances information accessibility but also offers significant insights into how various learning methodologies influence the information perception process.