Artificial Intelligence application in Education

Abstract

This research aimed to examine the potential of artificial intelligence (AI) for use in higher education and to assess the consequences of using AI in this setting. The research uses demographics like age, gender, and field of study might affect the implementation of AI in classrooms using analysis of variance or ANOVA methodology. The study included 209 participants, or 52.2% of the population, with 100 male and 109 female participants. In the results there was a large age and major-related divide in how respondents used AI in the classroom. Younger respondents were more likely to indicate extensive use of AI in the classroom. Neither men nor women reported significantly different rates of AI use in the classroom. Another interesting finding is that respondents enrolled in STEM-related programs were more likely to use AI in the classroom than those enrolled in other programs. Based on these results, age and field of the study appear more influential than gender when it comes to the application of AI in the classroom. This research has the potential to inform the creation of policies and tactics that will increase the prevalence of AI in classrooms across all ages and subject areas. Due to its limited sample size and focus on a single institution, the University of Lima in Peru, the study has certain caveats.