Teacher Perceptions of Artificial Intelligence (AI) in Education: Correlating Technological Adoption with Job Satisfaction

Abstract

The major aim of this study was to examine the correlation between teacher perceptions of artificial intelligence in education and technology adoption with job satisfaction. The present study was quantitative and descriptive and the survey method was applied for the collection of data. All the teachers of primary and secondary schools of district Sargodha were the population of the study. A stratified random sampling technique was used for the selection of samples from the population. Two standardized questionnaires were used as a research tool for the current study. Data were collected from a Google form through the utilization of different social media tools. Data were analyzed by using descriptive and inferential statistics with the help of SPSS and AMOS. It was found that university teachers have a positive attitude to AI. The results further reveal that perceived usefulness and ease of use positively increase teacher job satisfaction meaning that when teachers perceive the AI tools to be of use to them and easy to use, their satisfaction with their job will be high.

Keywords: Teacher Perceptions, Artificial Intelligence, Technology Adoption, Job Satisfaction