ADOPTION OF AI LEARNING TOOLS AND THEIR EFFECT ON STUDENTS’ ACADEMIC OUTCOMES AT SECONDARY LEVEL

Abstract

The study titled "Adoption of AI Learning Tools and Academic Outcomes of Secondary Students" explored the role of artificial intelligence in enhancing student learning and performance. The study aimed to achieve three objectives: to determine the relationship between AI tool adoption and overall academic outcomes, to examine the relationship between AI adoption and performance in core subjects, and to investigate the relationship between frequency of AI tool use and academic outcomes. A quantitative research design was employed to address these objectives. The population of the study consisted of 8,617 secondary students, and a sample of 368 students was selected using stratified random sampling. Data were collected through a structured questionnaire designed to measure AI adoption and academic performance. The research tool was validated for content by educational experts, and its reliability was confirmed using Cronbach’s alpha (0.87). Data were analyzed using descriptive statistics, including mean, frequency, and percentage, as well as correlation analysis to examine the relationships between variables. One key finding revealed a strong positive correlation between AI adoption and overall academic performance (r = 0.635, p < 0.01), and it is recommended that schools promote consistent integration of AI learning tools to enhance student outcomes. The study is significant because it provides empirical evidence on the effectiveness of AI in secondary education, highlighting its potential to improve learning experiences and inform educational policies. Overall, the findings underscore the importance of adopting AI technologies in classrooms to support personalized, engaging, and effective learning for secondary students.