Artificial Intelligence In Higher Education Research Articles

Enhancing Psychological Well-being in Higher Education Post-Covid-19 Pandemic. The Role of AI-Based Support Systems—Bibliometric Reviews

Psychological well-being is a cornerstone of student success in higher education. However, many students struggle with mental health challenges like stress, anxiety, and depression during and even after the Covid-19 pandemic. These challenges, often stemming from academic, personal, social, or career concerns, negatively impact student learning and development. This underscores the need for robust support systems within higher education (HE). Artificial intelligence (AI) emerges as a promising field in educational technology, offering students readily available guidance on their path to well-being. This research, guided by the PRISMA Statement 2015, provides an overview of AI applications in higher education through a systematic review. From an initial pool of 270 publications identified between year 2021 and 2023, finally, 24 articles met our inclusion criteria and were analyzed for the final synthesis. This paper revealed three key areas where AI-based systems can support student well-being: i) AI’s Advancement and Potential: Exploring the evolving capabilities and promise of AI in this context. ii) Building Effective AI Systems: Identifying crucial components for successful AI-based well-being interventions. iii) Barriers to Implementing AI in Higher Education: Addressing ethical considerations and challenges unique to academic settings. The conclusions and the road ahead from this research is the critical need for ethical, well-designed AI-based systems to overcome existing barriers and deliver exceptional student well-being support services. By prioritizing student mental health and providing them with the necessary tools and resources, we can empower them to achieve their full potential and thrive in their academic endeavors.

The impact of generative AI on higher education learning and teaching: A study of educators’ perspectives

In recent months, Artificial Intelligence (AI) has had, and will continue to have, a dramatic impact on Higher Education (HE). A study conducted by researchers at a leading university in Australia surveyed 30 of their teaching staff, drawn predominantly from their teaching academy, and interviewed eight of them regarding the impact of AI on HE. Data were analyzed using the procedures of Inductive Thematic Analysis and revealed a lack of any homogenous sentiment around AI in HE and much ambiguity regarding best practice regarding recent technological developments. The results indicate concerns exist around concepts relating to academic integrity, however, these concerns may be exaggerated. Almost half of the participants indicated they were using AI within their teaching roles with the most common design change being modifications to assessments. Less than a quarter of staff agreed the university has adequately equipped them for AI, and more than three quarters indicated they would like support. They unanimously assumed the technology will improve. Keeping in mind universities’ obligation to serve students by preparing them for industry, it is vitally important that the HE sector stays informed of developments in AI and commit to ongoing research and discussions regarding best practice in response to AI. However, anything regarding AI and future developments will be extremely difficult to predict.

Generative Artificial Intelligence in Higher Education: Exploring Ways of Harnessing Pedagogical Practices with the Assistance of ChatGPT

There is a growing interest in using generative artificial intelligence (AI) for educational purposes within the higher education environments, while AI applications (such as ChatGPT) can transform traditional teaching and learning methods. ChatGPT is an advanced AI tool that generates new content and human-like responses. The purpose of this paper is to use ChatGPT as a research assistant in order to explore ways AI can be harnessed to enhance pedagogical practices in higher education. This is a qualitative study, in which the output-responses generated by ChatGPT provided a starting point for the investigation. AI can be harnessed to enhance pedagogical practices in higher education in various ways including personalized learning, automated assessment and feedback generation, virtual assistants and chatbots, content creation, resource recommendation, time management, language translation and support, research assistance, simulations and virtual labs. Other educational affordances that can strengthen the teaching and learning experience regard collaboration and communication, accessibility and inclusivity, as well as AI literacy. When implementing AI tools such as ChatGPT in higher education, ethical considerations (e.g., data privacy, transparency, accessibility, cultural sensitivity), potential misuses and concerns need to also be addressed. Although ChatGPT can aid the generation of content-ideas for further exploration, it is a complementary-supportive tool, and its output necessitates human evaluation and review. The integration of ChatGPT and other AI tools in the higher educational process/practices has implications for educators, students, design of curricula, and university policy makers.

Exploring the Fundamentals of Artificial Intelligence and its Impact on the Teaching of Higher Secondary and Higher Education, particularly in the Teach Health Sciences

These present assat show a principal findigns Artificial intelligence (AI) has emerged as a transformative discipline, mainley exploring the Fundamentals of Artificial Intelligence and its Impact on the Teaching of Higher Secondary and Higher Education, particularly in the Teach Health Sciences. Show the classification in Intelligence, is the intellective power, the faculty of knowing or understanding and Artificial, it is what is made by the hand and art of man. Present the Methodological Foundations of Artificial Intelligence, and The Impact of Artificial Intelligence in Higher Education.

Academic Integrity and Artificial Intelligence in Higher Education (HE) Contexts: A Rapid Scoping Review

Artificial Intelligence (AI) developments challenge higher education institutions’ teaching, learning, assessment, and research practices. To contribute timely and evidence-based recommendations for upholding academic integrity, we conducted a rapid scoping review focusing on what is known about academic integrity and AI in higher education. We followed the Updated Reviewer Manual for Scoping Reviews from the Joanna Briggs Institute (JBI) and the Preferred Reporting Items for Systematic reviews Meta-Analysis for Scoping Reviews (PRISMA-ScR) reporting standards. Five databases were searched, and the eligibility criteria included higher education stakeholders of any age and gender engaged with AI in the context of academic integrity from 2007 through November 2022 and available in English. The search retrieved 2223 records, of which 14 publications with mixed methods, qualitative, quantitative, randomized controlled trials, and text and opinion studies met the inclusion criteria. The results showed bounded and unbounded ethical implications of AI. Perspectives included: AI for cheating; AI as legitimate support; an equity, diversity, and inclusion lens into AI; and emerging recommendations to tackle AI implications in higher education. The evidence from the sources provides guidance that can inform educational stakeholders in decision-making processes for AI integration, in the analysis of misconduct cases involving AI, and in the exploration of AI as legitimate assistance. Likewise, this rapid scoping review signals key questions for future research, which we explore in our discussion.

AI in higher education: Booster or stumbling block for developing digital competence?

Since the Artificial intelligence (AI) revolution catalyzed by ChatGPT, the discourse of students’ digital competence has become prevalent in German higher education institutions (HEIs). While educators recognize the potential for using AI in higher education, concerns persist about students needing more necessary skills. This paper presents findings from a comprehensive lecturer survey that provides insights into educators’ perspectives on the opportunities and challenges associated with AI integration in HEIs. Furthermore, it addresses the conditions required for successful AI implementation in German HEIs to promote, rather than hinder, students’ digital competence and future skills.

A scholarly dialogue: writing scholarship, authorship, academic integrity and the challenges of AI

ABSTRACT Concerns about the role of technology and the quality of student writing in higher education are not new. Historically, writing scholars have been at the forefront of initiatives that scrutinise and integrate new technologies in higher education. This article contends that writing scholars are again uniquely equipped to assist students, teachers in all disciplines, and institutions of higher education in navigating the challenges created by the public availability of generative artificial intelligence (AI). Adopting a dialogical approach, the article brings together six scholars from diverse disciplinary backgrounds within the broad umbrella of writing studies. Through the lens of writing scholarship, this chorus of critical voices illuminates the important questions posed by, and possible responses to, AI in higher education. Although AI complicates key issues in higher education such as academic integrity, assessment, and authorship, writing scholarship provides an essential framework for educators to respond to these challenges. Collectively, these scholars map the history of writing scholars’ responses to technological change in higher education and suggest how writing scholars can contribute to the debates and discussions concerning the impact of AI on higher education.

Role of Artificial Intelligence in Higher Education- An Empirical Investigation

The importance of artificial intelligence (AI) is growing in all economic sectors and thus also in higher education. In recent years, there have been significant developments in this concept of "Artificial Intelligence in Education (AIED)". The purpose of this study was to find out how the concept of artificial intelligence can be applied to teaching and learning in higher education and the implications of the use of artificial intelligence in higher education. The impact of the development of technologies on learning is often studied on the methods and scope of learning and teaching. Artificial intelligence enables higher education services to become easily accessible with extraordinary speed, not only in the classroom but also outside the classroom. This report seeks to explore how AI will become an integral part of universities and seeks to examine its immediate and future impact on various aspects of higher education. The challenges of implementing AI in these institutes were also explored. As artificial intelligence (AI) research in education increases, many researchers in the field believe that the role of teachers, schools and leaders in education will change. In this regard, the aim of this study is to investigate which are the possible scenarios for the arrival of artificial intelligence in education and what impact it can have on the future of schools. In this research, it confirmed that artificial intelligence has been widely adopted and used in various forms in education, especially educational institutions. Artificial intelligence was initially implemented in the form of computers and computer-related technologies, moving to web-based and web-based intelligent educational systems, and finally with the use of embedded computing systems and other technologies such as humanoid robots and web-based chatbots teachers & tasks and assignments independently or with tutors. With these platforms, teachers could perform various administrative tasks such as grading and Work more effectively and efficiently and achieve higher quality in your learning activities. On the other hand, because the systems use machine learning and adaptability, the curriculum and content are adapted which improved uptake and retention, which improved the student experience and the overall quality of education.

The educational value of artificial intelligence in higher education: a 10-year systematic literature review

PurposeThis paper aims to consolidate empirical studies between 2013 and 2022 to investigate the impact of artificial intelligence (AI) in higher education. It aims to examine published research characteristics and provide insights into the promises and challenges of AI integration in academia.Design/methodology/approachA systematic literature review was conducted, encompassing 44 empirical studies published as peer-reviewed journal papers. The review focused on identifying trends, categorizing research types and analysing the evidence-based applications of AI in higher education.FindingsThe review indicates a recent surge in publications concerning AI in higher education. However, a significant proportion of these publications primarily propose theoretical and conceptual AI interventions. Areas with empirical evidence supporting AI applications in academia are delineated.Research limitations/implicationsThe prevalence of theoretical proposals may limit generalizability. Further research is encouraged to validate and expand upon the identified empirical applications of AI in higher education.Practical implicationsThis review outlines imperative implications for future research and the implementation of evidence-based AI interventions in higher education, facilitating informed decision-making for academia and stakeholders.Originality/valueThis paper contributes a comprehensive synthesis of empirical studies, highlighting the evolving landscape of AI integration in higher education and emphasizing the need for evidence-based approaches.

The Impact of Artificial Intelligence on Higher Education and the Economics of Information Technology

This article explores the influence of Artificial Intelligence (AI) on higher education and the economics of information technology. The rapid advancements in AI have the potential to revolutionize the way universities deliver education and how the IT industry operates. This study employs the IMRAD method to investigate the current state of AI in higher education, its economic implications, and future prospects. The findings suggest that AI can enhance teaching and learning experiences, streamline administrative processes, and open up new revenue streams for universities. However, the adoption of AI also presents challenges, such as the need for significant investments in infrastructure and the potential for job displacement. The article concludes with recommendations for universities and policymakers to harness the benefits of AI while mitigating its risks.

Utilizing Emerging Technology Trends and Artificial Intelligence in Higher Education

Today’s higher education is characterized by accelerated technological advances and a growing need for adaptation. This research focuses on the utilization of emerging technological trends and artificial intelligence (AI) as innovative solutions to enhance the quality and effectiveness of teaching and learning. The problem lies in the necessity of strategically harnessing the potential of emerging technologies and AI in higher education. The objective is to thoroughly examine the implementation of emerging technologies and artificial intelligence within the realm of higher education. A comprehensive systematic review was conducted, involving the analysis of 240 articles selected from searches within the Scopus, SpringerLink, and Web of Science databases the selection process employed rigorous inclusion and exclusion criteria, to achieve this, we utilized the PRISMA methodology with a systematic approach. Consequently, our findings indicate that the integration of emerging technologies and artificial intelligence in higher education offers valuable guidance for decision-making and enhances the effectiveness of educational strategies in the digital era.

Artificial intelligence and sustainability in higher education: a bibliometric analysis and its relations with the UN SDGs

This research aimed to analyze the importance of artificial intelligence and sustainability in higher education according to the literature in the field and to present the relationships of this context with the United Nations Sustainable Development Goals (SDGs). The adopted research strategies included bibliometric analysis using VOSviewer software and literature review, considering the Web of Science scientific database. The bibliometric analysis resulted in the clustering of four groups. The blue cluster highlighted the emergence of interest in studies on AI and sustainability in higher education following the Covid-19 pandemic. The green cluster emphasized the importance of more efficient teaching methods adapted to the demands of higher education, as well as the need to empower teachers to use artificial intelligence in developing students' skills and competencies, emphasizing sustainability. The yellow cluster indicated the presence of artificial intelligence in higher education based on the triad of sustainable education and innovation, aiming to prepare students for future challenges. The red cluster emphasized the impact of artificial intelligence in higher education, focusing on student learning, efficiency, and sustainable performance. Finally, the literature analysis identified the main AI technologies in higher education and their relationship with the United Nations SDGs. The reflections presented here can contribute to expanding discussions on the relationship between artificial intelligence and sustainability in higher education. From a practical standpoint, it can serve as a foundation for university managers aiming to promote the integration of AI into their teaching processes, considering the context of sustainability.

Opportunities for Using Artificial Intelligence in the Higher Education System (in the field of international relations)

The article examines the role and the influence of artificial intelligence in the digital age in the field of higher education, in particular in the field of International relations. The article, which comprehensively presents the issue under discussion, also makes the focus on the growing role of artificial intelligence in the field of international relations, which has become one of the important issues on the agenda of superpower relations. At the same time, the advantages and risks of digital technologies and artificial intelligence systems are discussed, which, on the one hand, ensure technological progress, and on the other, create dividing barriers between developed and less developed countries. The author researches how the foreign policy departments of the leading world powers use the opportunities provided by artificial intelligence systems in their work, and what advantages this provides. The above-mentioned questions indicate that the current generation of International relations scholars must be capable to use the instruments of digital technologies and artificial intelligence systems in the course of their professional activities, which will save time and increase the efficiency of the work done. However, the important question is how to use digital technologies and artificial intelligence systems in the educational process of training specialists in International relations, so that this does not have negative consequences and does not lead to overload of students or tutors. It is necessary to identify the relevant components of education in this regard, as well as to estimate the proportion of using the artificial intelligence in education. It is important that the university is also a research environment and the functioning of a continuous chain of science and education is really crucial, and in which the use of artificial intelligence capabilities is also important. The article also analyzes and presents the views of researchers involved in the issue regarding the positive and negative consequences of the use of artificial intelligence in higher education. Accordingly, conclusions were drawn regarding the prospects for the use of artificial intelligence in higher education.

Consequences of Artificial Intelligence on Teaching and Learning in Higher Education in Kenya: Literature Review

This article investigates the global impact of Artificial Intelligence (AI) on higher education, focusing on Kenya. Examining published studies, the prevalence of AI in higher education was found to be highest in Asia (41%), compared to 1% in South America and 2% in Africa. A 2023 global student survey revealed that Generative AI was most popular in Kenya, with a usage rate of 63%. Moreover, a study among students aware of AI content detectors in their institutions indicated a significant reduction in the use of AI-generated content, affirming the deterrent effect of such detectors. The future of higher education is poised for a revolution with AI, particularly in individualized learning. Algorithms will assess academic scores, passions, and preferred learning strategies to tailor personalized education paths, adapting and evolving with the learner. AI technologies have enhanced inclusivity in education, benefiting learners with various impairments. Despite the transformative potential, challenges emerge, including the potential impact on careers requiring specific skills and ethical concerns. The absence of protocols and policies addressing ethical matters in AI learning, such as information accuracy, control, and learner privacy, underscores the need for ethical frameworks. Notably, the article underlines that AI cannot replace human teachers, who bring unique qualities like critical thinking, creativity, and emotional understanding to the educational process. The review shows minimal studies have been conducted on AI in Kenya’s higher Education. The article recommends that institutions of higher learning should employ AI detectors to mitigate cheating

Key Research Ideas of Artificial Intelligence in Higher Education: Bibliometric Analysis and Information Mapping

This research aims to describe and map information and research ideas that can be developed in the application of artificial intelligence in higher education. The method applied in this research is Preferred Reporting Items For Systematic Reviews And Meta-Analyses (PRISMA) which uses scientific articles or proceedings sourced from the Scopus database which are analyzed using Vos Viewer and Publish Or Perish as well as Google Trends and Dimensions. The research results reveal that artificial intelligence research covers three aspects that can be applied in higher education: development of AI tools, application of AI in learning, and digitalization of higher education.

Preferences towards artificial intelligence in Ecuadorian university professors

The general objective of this research was to analyze the preferences towards Artificial Intelligence (AI) in university professors in Ecuador, particularly those who teach the subject of Microeconomics. The methodology used was quantitative, descriptive, field-typed, and non-experimental, based on documentary research. The population consisted of 25 teachers from three state universities in the city of Guayaquil, Ecuador. The data collection technique was the survey and the instrument was a questionnaire of closed questions, which was applied through the Google Forms platform. The results found indicate that a large majority know about the use of AI in higher education; they also consider that the benefits that AI brings to education are to improve teaching, a large percentage indicated not to use AIs to teach Microeconomics, a small number of teachers who use AI, do it for data analysis through Machine Learning, the fact of the little use of this technology among teachers is mainly due to the absence of university policies on the use of artificial intelligence. Among the conclusions, the formulation of educational policies oriented to the implementation of artificial intelligence in Ecuadorian universities, the adaptation of infrastructure, and the investment of resources for this purpose are considered essential, as well as the training of teaching staff to take full advantage of this technology that is already a reality in many national and international contexts.

Artificial Intelligence in higher education: opportunities and challenges

The article reveals the meaning of the concept of artificial intelligence and proves the necessity of its application in the educational space. The purpose of the article is to show the importance of artificial intelligence as an educational and entertainment tool in higher education. The methodological concept is aimed at ensuring the effectiveness of students' education with the help of artificial intelligence. The research results show the types (weak and strong), directions, functions of artificial intelligence; the importance of edutainment in higher education and its main principles are revealed. Artificial intelligence is presented as a toolkit of edutainment in higher education and the importance of using artificial intelligence functions for edutainment in US higher education to improve human skills and abilities is shown. The significance of the avatar and virtual teacher in the educational process is revealed. During the research and experimental work, we singled out the leading factors of the actualization of the ideas of artificial intelligence as an educational and entertainment toolkit in the modern theory and practice of training students of higher education.

Exploring the Implementation of Artificial Intelligence in Higher Education: Advantages and Hurdles

Exploring the Implementation of Artificial Intelligence in Higher Education: Advantages and Hurdles

Towards the Integration of Artificial Intelligence in Higher Education, Challenges and Opportunities: The African Context, a Case of Zimbabwe.

This paper seeks to address the challenges of underdevelopment bedeviling the African continent in general and Zimbabwe in particular on the integration of Artificial Intelligence (AI) in higher education. Universities in Africa have over the years produced many graduates in Science, Technology, Engineering, and Mathematics (STEM) related learning areas but continue to grapple with underdevelopment both economically and intellectually. Part of the problem has been identified as a lack of quality in the education system that is not able to produce graduates with adequate 21st-century skills for the achievement of the Sustainable Development Goals (SDGs) to fulfil the Global Agenda 2030. Achieving this is possible if Africa moves a step forward and embraces modern technologies like the integration of AI in her education system. A technologically astute graduate would be able to apply their knowledge in achieving the much-needed sustainable economic development. This article highlights how the implementation of AI in higher education can foster a turnaround in Africa’s education systems and lead to industrialisation and innovation. Pivotal aspects of AI like the Turing machine test, cloud computing, big data, and machine learning are explored in an attempt to add value to the current education discourse. This study is situated in the interpretive paradigm, the qualitative approach was employed to gather data using several methods like e-questionnaires (open-ended), document analysis, and review of journals and other academic publications. Purposive sampling of STEM educators from a renowned university in Zimbabwe was undertaken to gather information on the ground and the data was thematically analysed. The article argues that Africa has the potential to be a leader in Industrialization and commerce should the continent fully embrace AI in higher education.

Prospects and Ethical Considerations of Generative Artificial Intelligence in Higher Education

The rapid development of Generative Artificial Intelligence (GAI) in higher education presents abundant opportunities for its high-quality development, but also introduces ethical concerns. This paper analyses the benefits of GAI in higher education in terms of teaching, learning, and evaluation. Additionally, it explores the ethical risks and reasons associated with GAI in higher education covering aspects such as data, algorithms, academia, and teacher-student relationships. The paper concludes by proposing methods and strategies to mitigate these ethical risks.