Assessing CICT Student Perception of AI and its Influence on Academic Achievement
Abstract Artificial intelligence (AI) is fundamentally reshaping the educational system by transitioning from traditional teaching methods to modern, strategic approaches. This shift, driven by advanced learning technologies, diversifies students' learning processes and study methods, leading to varied academic outcomes. While AI offers significant benefits, such as enhanced learning efficiency, it also presents potential challenges that must be addressed to prevent adverse effects on students' skill development. Understanding how students adapt to and utilize AI tools is crucial, particularly as new issues related to these technologies emerge. Evaluating students' perceptions of AI’s impact on their learning experiences is essential for ensuring effective and responsible use. In response to these pressing needs, this study aimed to explore the perceptions of Information and Communication Technology (ICT) students regarding AI and its influence on their academic achievement at a university in Western Visayas for the 2024-2025 academic year. Data for this descriptive-correlation study were collected from 217 ICT students using a rigorously validated and reliable researcher-developed instrument. The analysis indicated that while students recognize AI's benefits in enhancing learning efficiency, they also acknowledge its potential negative impacts. However, no significant associations were found between students' perceptions of AI, whether its benefits or drawbacks, and their Dean's List recognition. Interestingly, students who view AI as beneficial to their learning are more likely to achieve Dean's List recognition than those who are less convinced of AI's advantages. Similarly, students who recognize AI's potential negative impacts are also more likely to achieve Dean's List recognition compared to those who acknowledge these impacts to a lesser extent. These findings highlight the need for comprehensive AI training programs. Such programs should focus on maximizing AI's benefits and ensuring its proper use while mitigating potential harms. Further research is necessary to develop effective strategies for integrating AI into education and adapting to modern advancements while addressing potential challenges. Keywords: AI Perception, Academic Performance,Information and Computer-Technology Student, Empirical-based Approach,Bacolod City,Philippines
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-09-30
- DOI
- https://doi.org/10.5281/zenodo.13858614
- Primary Topic
- Machine Learning in Bioinformatics
- Type
- article
- Field-Weighted Citation Impact
- 0.00