Emotional Intelligence and Perception of Artificial Intelligence as Predictors of Academic Performance among Preservice Biology Teachers in FCE

Authors

  • DANGANA Musa Department of Science Education, Kaduna State University Author

Keywords:

Emotional Intelligence, Perception, Artificial Intelligence, and Academic Performance.

Abstract

The study investigated emotional intelligence and perception ofartificial intelligence as predictors of academic performance among preservice Biology teachers in north-central Federal Colleges of Education, Nigeria. A sample of two hundred and sixty-three (263) 200L NCE Biology students were selected for the study. Study subjects were selected using simple random sampling (draw from the hat method). A cross-sectional design was adopted for the study. Two instruments usedfor data collection werethe Trait Emotional Intelligence Questionnaire (TEIQ) andPerceived Artificial Intelligence Literacy Questionnaire (PAILQ))with reliability coefficient obtained at 0.82 and 0.89 respectively, while, the subjects' Cumulative Grade Point Average (CGPA) was used to measure their academic performance. Three research questions were stated for this study.The research questions were analyzed using correlation and multiple regression analysis. Major findings of the study show that there was a positive relationship between emotional intelligence; perception of artificial intelligence and academic performance and thatthe two independent variables are good predictors of academic performance but at different rates. Based on this, it was concluded that emotional intelligence and perception of artificial intelligence are good predictors of academic performance in biology and that perception of artificial intelligenceis a better predictor of academic performance than emotional intelligence. It is therefore recommended that students of all levels should be exposed to emotional intelligence andartificial intelligence skills in addressing students with academic problems.

Keywords: Emotional Intelligence, Perception, Artificial Intelligence, and Academic Performance.

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Published

2026-03-29

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Articles