Use Of Artificial Intelligence-Assisted Learning Tools and Their Impact on Academic Performance and Learning Satisfaction Among Medical Students

Abstract

Background: Medical students are starting to embrace the use of artificial intelligence-enhanced learning tools to aid in their academic endeavors (concept understanding, revision, and exam preparation). Although they are on the increase in use, there is little evidence on their effects on academic performance and learning satisfaction among undergraduate medical students.

Objectives: To assess AI-aided learning tools as well as to establish the relationship between these tools and academic performance and student satisfaction with the learning process among medical students.

Methods: This analytic study was a cross-sectional study that was carried out at Liaquat University of Medical and Health Sciences, Jamshoro in the period January 2025 to July 2025 on 90 undergraduate medical students attending an MBBS program. The non-probability convenience sampling method was employed to select the participants. The structured self-administered questionnaire was used to collect data based on demographic characteristics, academic performance, frequency and purpose of AI tool use, perceived usefulness, and learning satisfaction. A composite score was used to measure learning satisfaction in terms of a Likert-scale.

Results: 58.9% of the students claimed to use artificial intelligent-assisted learning tools frequently. It also showed higher academic performance between frequent users (75.06±8.51%) and occasional users (71.54±7.03%) and non-users (65.91±6.74%) (p=0.002). The weighted score of learning satisfaction was also significantly high among frequent users (31.62±4.72) than other groups (p < 0.001). It was observed that there was positive correlation between perceived usefulness of AI tools and academic performance (r = 0.39), as well as learning satisfaction (r = 0.64).

Conclusion: There is a positive correlation between AI-assisted learning tools and academic performance and the level of learning satisfaction among medical students. They can make modern medical education better through responsible and guided integration.