Artificial Intelligence (AI) Resources

Sweeney, S. (2023). Who wrote this?  Essay mills and assessment-Considerations regarding contract cheating and AI in higher education. The International Journal of Management Education.

Abstract

The growing incidence of academic dishonesty (AD) involving students using commercial essay writing services (essay mills) or Artificial Intelligence (AI) risks the credibility of assessment approaches within higher education (HE) worldwide. Reflecting on experience from a UK business school, the article explores the potential for novel assessment design and feedback to reduce the prevalence of AD. Speculating on success and failure rates of students undertaking formal assessment, the article evaluates the broader ethical implications for universities in recruitment and learner support, particularly within contemporary discourses on international student attainment, mental health, and well-being. 

Singh, S.V., Hiran, K.K. (2022). The impact of AI on teaching and learning in higher education technology.  Journal of Higher Education Theory & Practice

Abstract

Thanks to AI, students may now study whenever and wherever they like. Personalized feedback on assignments, quizzes, and other assessments can be generated using AI algorithms and utilised as a teaching tool to help students succeed. This study examined the impact of artificial intelligence in higher education teaching and learning. This study focuses on the impact of new technologies on student learning and educational institutions. With the rapid adoption of new technologies in higher education, as well as recent technological advancements, it is possible to forecast the future of higher education in a world where artificial intelligence is ubiquitous. Administration, student support, teaching, and learning can all benefit from the use of these technologies; we identify some challenges that higher education institutions and students may face, and we consider potential research directions. [ABSTRACT FROM AUTHOR]