Integration of Artificial Intelligence in Designing Lesson Exemplar for an Improved Students' Engagement and Scientific Attitude

Recent trends in science education involve the utilization of technology and artificial intelligence to create an interesting teaching and learning experience. The purpose of the study was to design lesson exemplars that integrate Artificial Intelligence and to determine the significant difference in the pre-assessment and post-assessment scores of students on their own classroom engagement and scientific attitude. The study used descriptive-developmental research. The respondents in the study consisted of 41 selected Grade 7 students at San Antonio National High School. In line with the study's findings, the students' Pre-Assessment revealed that they are not engaged and have low positive attitudes towards their Classroom Engagement and Scientific Attitude, respectively. The Post-assessment revealed that Grade 7 students are engaged and positive in their Engagement and scientific attitude, respectively. Therefore, there is a significant difference in the pre-assessment and post-assessment performance of the students in terms of their classroom engagement, including cognitive, behavioral, and social engagement, as well as their scientific attitude, which encompasses curiosity, cooperation, critical thinking, creativity, and persistence. Aligning with this, the respondents perceived the Lesson Exemplar utilizing Artificial Intelligence Application in Science Gamification as very satisfactory. In conclusion, teachers may consider using the Lesson Exemplar Integrating Artificial Intelligence Application as a mode of instruction, gamification, and improvement of classroom engagement and scientific attitude among learners.