The Impact of Artificial Intelligence Technologies in Educational Informatics on Improving Learners Performance: A Meta-Analysis

In light of rapid technological advancements, the vast amount of educational data generated on e-learning platforms has become a rich field for research and development in educational institutions. As a result, the field of Educational Informatics has emerged as an interdisciplinary domain combining education and informatics. This study aims to investigate the impact of artificial intelligence (AI) techniques in Educational Informatics through a meta-analysis of 27 studies conducted between 2020 and 2022. These studies specifically explored the effects of AI techniques, including learning analytics and educational data mining, on improving learners' performance. The findings revealed that learning analytics, as an AI technique, was the most frequently utilized in Educational Informatics, accounting for 92.6% of the studies. The overall effect size of AI techniques in this field was 0.66, with a standard error of 0.104 and a confidence interval ranging from 0.45 to 0.86. These results indicate a moderate and statistically significant effect of AI techniques in Educational Informatics on enhancing learners' performance. Based on these findings, the study recommends that educational institutions prepare for digital transformation, support data centers, and develop strategic plans in the field of Educational Informatics. Additionally, it suggests conducting further studies to explore the effectiveness of AI techniques, particularly learning analytics and educational data mining, on factors influencing learners' performance.