TY  - JOUR
AU  - G Radhika
AU  - G Sriraja Vijaya Krishna
AU  - K M V Ramana
AU  - M Srivani
PY  - 2026
DA  - 2026/01/11
TI  - Effectiveness of AI-Based Learning Tools in Improving Engineering Mathematics Understanding
JO  - Global Journal of Engineering Innovations and Interdisciplinary Research
VL  - 6
IS  - 1
AB  - Engineering mathematics is fundamental to engineering education, yet many students struggle to
achieve conceptual clarity and problem-solving proficiency through traditional teaching methods
alone. This study investigates the effectiveness of AI-based learning tools in improving engineering
mathematics understanding among undergraduate engineering students. An AI-assisted learning
environment incorporating adaptive practice, intelligent feedback, and personalized learning pathways
was implemented alongside conventional classroom instruction. Student performance was evaluated
using pre-test and post-test assessments, learning outcome metrics, and engagement indicators. The
results show that students using AI-based tools achieved significantly higher post-test scores, improved
conceptual understanding, greater problem-solving accuracy, and reduced error rates compared to
those relying solely on traditional instruction. Increased engagement and sustained learning activity
further highlight the benefits of AI-supported learning. The findings demonstrate that AI-based learning
tools, when integrated with conventional teaching, offer an effective approach to enhancing engineering
mathematics education.
SN  - 3066-1226
UR  - https://dx.doi.org/10.33425/3066-1226.1193
DO  - 10.33425/3066-1226.1193