Impact of AI-Based Teaching Techniques on Learning Outcomes of Primary School Children: A Quantitative Study

Abstract

The growing popularity of the application of Artificial Intelligence (AI) to the education environment has transformed the practice of teaching and learning, especially in terms of customization, flexibility, and data-based learning. The given quantitative research designates the effect of AI-based instructional approaches on the academic achievements of primary schoolers. The data were gathered with the help of a pre-test and post-test research design and were obtained among primary school students who were exposed to AI-based instructional tools, i.e., adaptive learning platforms and intelligent tutoring systems. The difference in academic performance and level of engagement was measured prior to and after the intervention using statistical analysis. The results demonstrate that AI-based instructional strategies can positively impact the learning performance of students statistically significantly, improving academic performance and engagement of the learners in contrast to conventional teaching practices. The paper is an important contribution on the pedagogical importance of AI in primary education, and it is supported by empirical evidence that can be used to make informed judgments about the use of technology during early educational activities.