Revolutionizing Education: A Study on AI Integration in Teaching Practices at Good Samaritan Colleges Senior High School

Authors

  • Calvin Lloyd B. Ador Dionisio
  • Mark Christian F. Aguirre
  • Ma. Angelica S. Carpio
  • Ailene Q. Supian
  • Joefil C. Jocson

Keywords:

Artificial Intelligence, Learning Management System, Adaptive Learning Platform.

Abstract

Artificial intelligence is increasingly being recognized as a major force in the high-tech industry, revolutionizing various aspects of our society and improving the overall quality of life. Artificial intelligence empowers educators to enhance the learning environment, tailor teaching methods to meet the unique needs of each student, and automate various jobs. This case study examines the use of artificial intelligence in the form of an adaptive learning platform called "EdApp" to serve as a learning management system. The researchers employed SHS teachers as responders to determine how "EdApp" can empower them in creating courses or subjects for their lessons. The researchers employed a survey methodology to collect data, which was then analyzed using statistical techniques and the scoring interpretation provided by Nurali & Suziyani. Microsoft Excel was utilized for this analysis. Based on the findings, conclusions were drawn regarding the respondents' perceptions of the impact of integrating artificial intelligence into the learning platform, specifically in terms of convenience, reliability, and satisfaction. The case study emphasizes that the respondents unanimously acknowledged the advantages of incorporating artificial intelligence in various areas, including the creation of teaching materials and the evaluation of students.

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Published

2024-05-16

How to Cite

Calvin Lloyd B. Ador Dionisio, Mark Christian F. Aguirre, Ma. Angelica S. Carpio, Ailene Q. Supian, & Joefil C. Jocson. (2024). Revolutionizing Education: A Study on AI Integration in Teaching Practices at Good Samaritan Colleges Senior High School. International Journal of Progressive Research in Science and Engineering, 5(05), 88–92. Retrieved from https://journal.ijprse.com/index.php/ijprse/article/view/1056

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