Integration of Artificial Intelligence (AI) in Teaching Earth and Life Science for Grade 11

This quasi-experimental study delved into the impact of integrating artificial intelligence (AI) into Grade 11 Earth and Life Sciences instruction at Cotta National High School. Using a rigorous methodology that includes pre-tests, interventions, and post-tests, the research compared an AI-based experimental group with a traditional instruction control group, with teacher-participants aligning methods with Most Essential Learning Competencies (MELCS). Robust statistical analyses, encompassing means, standard deviation, t-tests, and Two-Way ANOVA, reveal that the AI-incorporated group consistently outperformed the control group in academic achievement, student engagement, and motivation. Null hypotheses were rejected across all instructional weeks, highlighting significant score improvement associated with AI-aided instructional weeks, Insights from teachers and students affirm the positive impact of AI incorporation, providing practical applications and diverse perspectives. as a tangible output, the research culminated in the development of an Earth and Life Science Activity Manual infused with Educational AI Applications and Website's, crafted from the findings of the study, thus bridging theory and practice in advancing secondary-level science education.