ARTIFICIAL INTELLIGENCE (AI) IN THE HIGHER EDUCATION INSTITUTIONS (HEIS) PRACTICES: A TRANSFORMATION TRENDS IN TEACHING AND LEARNING

Leovigildo Lito D. Mallillin, Bernadette B. Enriquez, Catlleya C. Yee

Abstract


The study aims to identify the Artificial Intelligence (AI) of higher education institutions (HEIs) practices as a basis for transformation trends in teaching and learning. Mixed methods are utilized through triangulation of Focus Group Discussion (FGD) in the process of the study. Likewise, convenience sampling is employed in gathering the population size of the study. The study comprised one hundred twenty-five (125) respondents only. Results show that transformation trends of artificial intelligence in teaching and learning in higher education institutions advance the soft skills, knowledge, and remote learning platform in the educational system, show that digital learning platforms define learning destination sites and learning management systems, show that powered learning environment personalized learning experience of AI contribution in education to meet the needs of students’ learning styles show that adaptive learning integrates technique platforms such as progress of teaching and learning, assessment result, and interaction for the transformation trend in the educational system, show that automated assessment identifies and designs the best performance criteria for transformation trends in teaching and learning impact decision of AI, and show that wearable technology improves and provides increased productivity and punctuality for educational spheres and benefits of technology. Findings show that there is a significant agreement on the transformation trends of artificial intelligence in teaching and learning in higher education institutions as observed among the respondents.

 

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artificial intelligence in higher education institutions and transformation trends of teaching and learning

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DOI: http://dx.doi.org/10.46827/ejes.v12i2.5811

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