Volume : 11, Issue : 7, JUL 2025

DISCIPLINARY PERSPECTIVES ON ARTIFICIAL INTELLIGENCE: A COMPARATIVE ANALYSIS OF SCIENCE AND ARTS STREAM STUDENTS

DR. MANORANJAN TRIPATHY, DR. BISWESWARI SAHU

Abstract

Artificial Intelligence (AI) is rapidly transforming educational landscapes by enabling personalized learning, data-driven instruction, and automation of administrative processes. While significant progress has been made in understanding the technical applications of AI in education, relatively little attention has been given to students' attitudes toward AI across different academic disciplines. This study aims to compare the attitudes of undergraduate students from the Science and Arts streams at GM University, Sambalpur, toward AI. A total of 200 students (100 from each stream) participated in the study. Data were collected using the General Attitudes toward Artificial Intelligence Scale (GAAIS), a standardized instrument measuring three dimensions: Acceptance, Trust, and Perceived Utility. An independent z-test was conducted to examine the significance of the difference in mean scores between the two groups. The results indicated a statistically significant difference in attitudes, with Science students demonstrating more favorable perceptions of AI compared to their Arts counterparts (z = 2.87, p = 0.0045). These findings highlight the influence of disciplinary background on technological attitudes and underscore the need for inclusive, cross-disciplinary AI education strategies. The study offers critical implications for curriculum design, faculty development, and institutional policy to promote digital equity and readiness among all learners.

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