Teachers in the Age of Artificial Intelligence: Attitudes, Behaviors, and Demographic Influences in Research Innovation
TL;DR
While AI is generally embraced in academic research practices, its integration remains more practice-driven than attitude-driven, and it is recommended that continuous professional development, institutional AI support systems, and curriculum-based AI literacy programs be implemented.
Abstract
The rapid advancement of Artificial Intelligence (AI) has significantly reshaped higher education, particularly in enhancing research innovation and academic productivity. This study assessed the attitudes and behaviors of College of Teacher Education Arts and Sciences teachers toward innovative research using AI and examined the relationship between these variables and their demographic profiles. Employing a descriptive-comparative-correlational survey design, the study involved 22 faculty members who responded to a structured questionnaire measuring demographic characteristics, attitudes, and behavioral engagement with AI-based research tools. Findings revealed that teachers generally exhibit a favorable attitude and active behavioral engagement toward AI-supported research, with mean scores of 2.92 for attitude and 2.94 for behavior. However, statistical analysis showed no significant relationship between attitude and behavior (p = 0.60), indicating that positive perceptions do not necessarily translate into consistent behavioral application. Furthermore, results indicated no significant differences in attitude and behavior when grouped according to demographic variables such as age, gender, and educational attainment, as all p-values exceeded the 0.05 threshold. These outcomes suggest a relatively uniform acceptance of AI across demographic groups within the institution. The study concludes that while AI is generally embraced in academic research practices, its integration remains more practice-driven than attitude-driven. The lack of a significant attitude-behavior link highlights the need for targeted interventions that strengthen the alignment between perception and actual use. It is recommended that continuous professional development, institutional AI support systems, and curriculum-based AI literacy programs be implemented. Future research should further explore the relationship between AI adoption, research productivity, and pedagogical impact in higher education contexts.