TRUST AND ETHICAL CONCERNS AS PREDICTORS OF ARTIFICIAL INTELLIGENCE ADOPTION AND LEARNING OUTCOMES IN HIGHER EDUCATION

Dr. Bathina Rajesh Kumar

doi:10.69980/ephijer.v10i02.197

Authors

Dr. Bathina Rajesh Kumar Assistant Professor, Department of English, Koneru Lakshmaiah Education Foundation, Vaddeswaram AP

DOI:

https://doi.org/10.69980/ephijer.v10i02.197

Abstract

Artificial intelligence (AI) is revolutionizing higher education through increased personalization in learning, education support, and engagement. Nonetheless, the adoption of AI technology requires the perception of students, especially concerning issues of trust, perceived usefulness, satisfaction, and ethics. This paper assesses the correlation of trust and ethics with AI adoption, investigates the correlation of AI adoption and learning results, and determines the determinants of AI adoption and improvement in learning in higher education students. The quantitative analysis for this study involved the use of AI Tools Usage Analysis in Education dataset obtained from Kaggle. Data from 505 undergraduate and graduate students, based on predetermined selection criteria, were used for the study. The descriptive statistics, Pearson correlation coefficient, and multiple linear regression were used in the analysis, using p < 0.05 for statistical significance. Privacy and plagiarism ethical issues were identified as significant negative predictors of AI usage, while usefulness and satisfaction with the tool positively predicted the intention to use it. Trust in the system, intention to adopt the technology, usefulness, and satisfaction had a positive impact on learning enhancement, while ethical concerns negatively impacted the process. In general, student perception was more important in determining the extent of AI usage and the outcomes of the learning experience than usage characteristics.

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