Below is a list of peer-reviewed articles related to the topic of artificial intelligence in education. This list is meant to spark some ideas and get you started—don't limit your research to just these suggestions.
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Digital Technologies and Artificial Intelligence Technologies in Education
The introduction of these technologies provides new opportunities to improve the educational process, but at the same time the application of these technologies faces some risks, the identification of negative consequences of which is delayed. According to the results of the research, three main directions of the relationship between the development of AI technologies and education are identified: 1) training with the help of AI technologies; 2) scientific and practical research of AI and its technologies; 3) training qualified specialists to work with AI in the process of obtaining secondary and higher education.
Teaching and Learning with AI-Generated Courseware: Lessons from the Classroom
In this paper, two faculty members at the University of Central Florida used courseware generated with artificial intelligence as the primary learning resource for their students. Instructor implementation practices over multiple semesters are described and related to resulting student engagement and exam scores. Finally, benefits of the adaptive courseware are discussed not only for student outcomes, but the qualitative changes faculty identified and the impact that iterative changes in teaching practice had on instructors as well as students.
Integrating ChatGPT in the Calculus Classroom: Student Perceptions
In this study, the researchers investigated the use of ChatGPT as a means of learning Calculus. The study examined student perceptions toward the use of ChatGPT in their learning of mathematical concepts in Calculus and their perceptions of the advantages and disadvantages of its use in the classroom.
The Role of Universities in Modern Society
This is a conceptual paper that examines the origin and development of universities and their current role in global society. The paper examines how this role may change to match the new demands placed on them by a digitally enabled society that has greater leisure time. The design of the paper is first to detail some of the changes in work practices that are taking place and how these will impact on society then offers several ways in which universities could modify their role to respond to these emerging challenges.
First, Do No Harm: Automated Detection of Abusive Comments in Student Evaluation of Teaching Surveys
Student evaluation of teaching (SET) surveys are the most widely used tool for collecting higher education student feedback to inform academic quality improvement, promotion and recruitment processes. Malicious and abusive student comments in SET surveys have the potential to harm the wellbeing and career prospects of academics. This project applied innovative machine learning techniques to screen student comments made via a university SET during 2021. Higher education institutions have an obligation to balance the rights of students to provide feedback on their learning experience with a duty to protect academics from harm by pre-screening student comments before releasing SET results to academics.
Taylor, the Disability Disclosure Virtual Assistant: A Case Study of Participatory Research with Disabled Students
Administrative burden in education is a serious issue for disabled students. Form-filling and bureaucracy are ubiquitous in higher education, particularly for students who need to disclose a disability and arrange for accommodations and support for an equitable educational experience. Paradoxically, many of these processes are inherently inaccessible for disabled students, and yet completing them can be critical to their success. Artificial Intelligence has potential to alleviate some of the burden imposed by administration and bureaucracy; virtual assistants and chatbots can replace forms with dialogue, without placing additional strain on institutions.
Learning analytics, education data science and artificial intelligence are opening up new ways of collecting and analyzing student data in higher education. Government policies emphasize the use of student data for improvements to teaching and learning. Practitioners, learning scientists and social science researchers need to collaborate with the policy community and education technology developers on new frameworks to challenge narrow uses of student data as performance metrics.
Steering the Mind Share: Technology Companies, Policy and Artificial Intelligence Research in Universities
AI research in universities has long been funded by a combination of government and corporate sources. This paper looks at the links between technology companies and AI research in three areas: first, the ways in which technology companies influence both the content and practices of AI research in universities; second, how university research policies enable conditions that blur traditional boundaries between corporate and academic AI research; and third, how an ethos of 'open science', that is increasingly corporatised, moves ideas about AI from universities to companies.
Medical, dental, and nursing students’ attitudes and knowledge towards artificial intelligence
Nowadays, Artificial intelligence (AI) is one of the most popular topics that can be integrated into healthcare activities. Currently, AI is used in specialized fields such as radiology, pathology, and ophthalmology. Despite the advantages of AI, the fear of human labor being replaced by this technology makes some students reluctant to choose specific fields.
Importance of University Students’ Perception of Adoption and Training in Artificial Intelligence Tools
Universities have made great efforts to integrate these new technologies into their classrooms, considering that every future professional will need AI skills and competencies. This article examines the importance of student perception and acceptance in adopting AI tools in higher education effectively. It highlights how students’ positive perceptions can significantly influence their motivation and commitment to learning.
The Role of Artificial Intelligence Autonomy in Higher Education: A Uses and Gratification Perspective
With the rapid development of artificial intelligence (AI) technology, AI educators have become a reality. The advancement and increasing applications of AI technology in higher education not only provide more efficient tools for teachers in long-term and focused teaching, but also provide new active and independent spaces for sustainable self-motivated learning for college students.
Determinants of Humanities and Social Sciences Students’ Intentions to Use Artificial Intelligence Applications for Academic Purposes
Recent research emphasizes the importance of Artificial Intelligence applications as supporting tools for students in higher education. Simultaneously, an intensive exchange of views has started in the public debate in the international educational community. However, for a more proper use of these applications, it is necessary to investigate the factors that explain their intention and actual use in the future. The findings highlight that expected performance, habit, and enjoyment of these Artificial Intelligence applications are key determinants influencing teachers’ intentions to use them.