Virtual University Journals
Search
Search
Adaptability and Outcomes of AI-Driven Personalized Learning: A Study among University Students in Pakistan
Anam Zakir, Sameen Azmat
Abstract:
The current study discloses the adaptability and subjective viability of individualized learning technologies, which are driven by Artificial Intelligence among Pakistani university pupils with regards to academic achievement in the form of inspiration, reading and writing skills, critical thinking, and self-managed learning. Using the Elaboration Likelihood Model (ELM) and Self-Directed Learning (SDL) theory, the mixed-methods approach was used to examine the role of the demographic variables including the pattern of use and motivation of the students in connection with the AI usage on the outcome of the learning process. The questionnaire was prepared in a tabular format and administered to 500 students in various learning institutions. The quantitative analysis focuses on the fact that students consider AI tools to be highly effective, especially when they are supposed to produce superior academic writings, as well as when they are supposed to be capable of producing multiple ideas. The perceived effectiveness of gender differences was high among female students compared to male students (p = 0.015), and students with higher GPAs and students between the age of 21 and 23 years had more positive perceptions concerning AI. The AI use was significantly correlated with self-directed learning (r = 0.58, p < .001) and it implies that AI promotes the ability of learners to work independently. It was also observed that the students who utilize AI enhance their learning experiences. Besides, the issue of ethical concerns was also reported among rural students. The qualitative study had positive outcomes in terms of enhancing personalized pacing and the improvement of academic outcomes as well as the development of independent learning. This paper suggests that AI should be utilized and incorporated into teaching systems to facilitate the use of digital in the higher education industry.
Keywords:
Personalized learning, AI, ANOVA, Pearson correlation
Full Text:
PDF