AI-Assisted Education: An Investigation into its Perceived Effects on Teacher Efficiency and Student Performance
Roland Leonillo
Discipline: Education
Abstract:
There has been a rapid increase in the use of artificial intelligence (AI) in our educational system. This descriptive, comparative, and correlational study investigated the use of AI-powered tools and examined 86 teachers' efficiency and 274 students' performance in a private Catholic school in Bacolod City, Philippines. The researcher developed a researcher-made questionnaire to gather the data. Major findings revealed that teachers used AI less frequently, often used it for tutoring, with ChatGPT being a popular choice. Students, on the other hand, reported using AI weekly, primarily for tutoring. While AI integration seemed to enhance teacher efficiency, male teachers perceived themselves as more efficient than females. Generally, the results show that AI contributes to an efficient teaching process with a mean score of 3.60, verbally interpreted as somewhat efficient. The results revealed that AI had a significant improvement on both male and female students. Interestingly, no significant differences were found in teacher efficiency and student performance when grouped according to sex using Mann-Whitney U-test. Using Spearman's rank correlation coefficient, the data revealed no correlation between the student performance in AI and the teachers' efficiency in AI. In light of these findings, the study recommends implementing programs and training to help teachers use AI more effectively and engage students. Additionally, it emphasizes the need to address any barriers educators may face in adopting AI, create supportive environments with equitable access to AI resources, and implement strategies to address potential gender biases in AI adoption.
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