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Enhancing Classroom Learning: The Impact of AI-Based Instructional Strategies on Student Engagement and Outcomes

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  • Adedoyin Adetutu KEHINDE-AWOYELE

    (Department of Arts & Social Science Education Faculty of Education University of Ilesa, Ilesa, Osun State, Nigeria)

  • Wasiu Adeniyi ADEOWU

    (Department of Arts & Social Science Education Faculty of Education University of Ilesa, Ilesa, Osun State, Nigeria)

  • Bolanle OLADEJO

    (Faculty of Computer Science, University of Ibadan, Ibadan, Nigeria)

Abstract

The integration of Artificial Intelligence (AI) into educational settings has led to transformative shifts in classroom instruction, student engagement, and learning outcomes. This study explores the impact of AI-based instructional strategies on student engagement and academic performance in the classroom, focusing on the potential benefits and challenges they present. Descriptive research design was adopted for the study. The sample size consists of 500 hundred secondary students which were selected through stratified random sampling technique. The content and face validity of the research instrument was ensured through experts in the field of test and measurement while test-re-test was used to ensure the reliability of the instrument. Inferential statistics was used to analyze the data collected. The results shows (2=20.45, p 0.05) that there is a significant relationship between artificial intelligence based instructional strategies and student engagement. The study also revealed that the use of AI instructional strategies impact significantly on learning outcomes. Based on the findings some recommendations were made.

Suggested Citation

  • Adedoyin Adetutu KEHINDE-AWOYELE & Wasiu Adeniyi ADEOWU & Bolanle OLADEJO, 2024. "Enhancing Classroom Learning: The Impact of AI-Based Instructional Strategies on Student Engagement and Outcomes," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(3s), pages 5732-5742, November.
    • Handle: RePEc:bcp:journl:v:8:y:2024:i:3s:p:5732-5742
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