Artificial Intelligence, Teacher Competence, and Students' Learning Outcomes in Science Education: A Multilevel Analysis

Vollständiger Abstract

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Technology, specifically Artificial Intelligence (AI), has emerged as a contender to revolutionize the effectiveness of teaching practice and the learning outcomes of students, in the context of education science. In science education, the rise of Artificial Intelligence (AI) has presented a new horizon of potential enhancements to teaching effectiveness and student learning outcomes. Yet, AI's learning potential will be dependent on a significant extent on teachers' ability to incorporate it into classroom activities. This study aimed to discuss the impact of using AI and teacher competence on students' learning achievements in science education in terms of its multilevel analytical framework. The survey design used was a multilevel correlational survey design. 330 respondents including 30 science teachers and 300 senior secondary school science students were recruited using multistage sampling technique from six public secondary schools in Bwari Area Council FCT Abuja Nigeria. Artificial Intelligence Integration and Teacher Competence Questionnaire (AITCQ) were used to gather data, along with the Student Learning Questionnaire (SLQ) and Science Achievement Test (SAT). Data was analyzed using descriptive statistics and Hierarchical Linear Modelling (HLM) at 0.05 level of significance. The results showed that there was a clear significant impact in the learning outcomes of the students when using the use of artificial intelligence while teacher competence was the top predictor in science achievement. The AI integration-Learning outcomes association was also positively moderated by school ICT infrastructure. The researchers have agreed that it is a synergistic effect of well-trained educators, suitable technology, and positive institutional policies to achieve effective learning use of AI in science education. It endorses the continued investment in teachers' AI upskilling, enhanced digital infrastructure and curriculum changes that incorporate the need for AI skills into teacher education programs. The study adds to the on-going body of research related to AI and education by showcasing how effectively AI can augment instructional capacity with science teachers.