The Integration of Artificial Intelligence in Enhancing Student Learning Outcomes
DOI:
https://doi.org/10.55927/jiph.v5i2.14Keywords:
Artificial Intelligence (Ai), Learning Outcomes, Personalized Learning, Student Motivation, Educational Technology.Abstract
The rapid advancement of Artificial Intelligence (AI) has transformed educational practices, yet its effectiveness in secondary education remains underexplored. This study aims to examine the impact of AI integration on students’ learning outcomes and motivation. A quasi-experimental design with a mixed-methods approach was employed, involving 60 eleventh-grade students divided into experimental and control groups. Data were collected through pre-test and post-test assessments and structured questionnaires over a four-week period. Quantitative data were analyzed using t-tests, while qualitative data were examined thematically. The findings indicate that AI-assisted learning significantly improves academic performance and student engagement. This study contributes to the development of personalized learning and highlights AI as an innovative approach to enhancing educational effectiveness.
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