Designing An Educational Package Based On Artificial Intelligence And Statistical Techniques

Abstract

This study aims to evaluate the effectiveness of designing an educational package based on artificial intelligence and statistical techniques in developing scientific research skills among students at the College of Basic Education. The researcher adopted a quasi-experimental approach with two equivalent groups, implementing pre-tests and post-tests. The sample consisted of 105 randomly selected students from the Mathematics Department, out of a total of 863 students enrolled in the college during the 2024–2025 academic year.

The researcher developed a multiple-choice test comprising 30 items to assess scientific research skills. Various statistical tools were employed, including percentage ratios, chi-square tests, correlation coefficients, and t-tests for independent and dependent samples.

The results indicated statistically significant differences in favor of the experimental group after applying the educational package, with no gender-based variations. The researcher concluded that the designed package had a positive impact on enhancing scientific research skills. Accordingly, it was recommended that artificial intelligence and statistical techniques be integrated into curriculum design for improved learning