Intelligence In Higher Education Research Articles

The influence of artificial intelligence in higher education based on four thematic axes: a bibliometric study

The article presents a structured bibliometric study examining the impact of artificial intelligence (AI) in higher education across four thematic axes: AI in higher education, AI in education review, AI in the teaching-learning process, and AI tools applied to higher education. Research productivity and impact indicators are analyzed using data from major databases like Scopus, Web of Science, and ScienceDirect. Results reveal a significant increase in AI-related research output, particularly in machine learning, data mining, and learning analytics. The study highlights China and the United States as leading contributors to AI research in higher education. The findings highlight AI's evolving role in transforming higher education and the need for multidisciplinary research approaches to address emerging challenges and opportunities. However, limitations include the reliance on quantitative measures, the narrow temporal scope, and the limited focus on high-production countries. Future research should incorporate qualitative methods to explore practical applications and social impacts more comprehensively, consider a broader range of geographic contexts, and discuss ethical considerations around integrating AI into higher education.

Institutional Integration of Artificial Intelligence in Higher Education: The Moderation Effect of Ethical Consideration

This research study aims to examine the impact of institutional artificial intelligence (AI) implementation on students’ academic achievement considering the role of ethical considerations. A quantitative approach was employed and data was collected using a non-probability convenience sampling technique, targeting students from different universities in Bangladesh. A total of 214 valid responses were collected and the partial least squares-structural equation modeling estimation procedure was performed using WarpPLS software. The results demonstrate a positive correlation with the rising trend of AI utilization in higher education. Nonetheless, this connection weakens when ethical aspects are considered as a moderator that highlights the originality of this study.

A systematic review of research on artificial intelligence in higher education: Practice, gaps, and future directions in the GCC

A systematic review of research on artificial intelligence in higher education: Practice, gaps, and future directions in the GCC

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

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

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.

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

Purpose This 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/approach A 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. Findings The 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/implications The 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 implications This 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/value This 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.

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.

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.

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

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.

Importance of emotional intelligence in higher education

In this era of rapid technological advancement and global interconnectedness, the challenges facing students extend beyond academic excellence. Navigating the complexities of a dynamic world requires not only intellectual prowess but also a heightened awareness of emotional intelligence. The proposed New Policy on Education recognizes the evolving demands on students and seeks to fortify their educational journey by placing a significant emphasis on emotional intelligence. The proposed policy envisions an educational landscape where students not only acquire knowledge but also cultivate emotional resilience, interpersonal skills, and a nuanced understanding of the human experience. The investigation into emotional intelligence in higher education thus serves as a strategic exploration into the potential benefits and implications of integrating emotional intelligence into the academic curriculum. In essence, the proposed New Policy on Education reflects a forward-looking perspective that acknowledges the intricate interplay between intellectual and emotional capacities. By nurturing emotionally intelligent minds, higher education institutions can equip students not only to thrive academically but also to excel as resilient, empathetic, and adaptable contributors to the ever-evolving global landscape.

Empowering Educators: Unleashing the Power of Emotional Intelligence in Higher Education

Empowering Educators: Unleashing the Power of Emotional Intelligence in Higher Education

Artificial intelligence in higher education: the challenges, opportunities and the road ahead

Artificial intelligence in higher education: the challenges, opportunities and the road ahead

Artificial Intelligence (AI) in Higher Education: Growing Academic Integrity and Ethical Concerns

Artificial intelligence (AI) is scaling rapidly in higher education globally. Considering the increasing significance of artificial intelligence in higher education (AIHEd) and the absence of a comprehensive review on it, this paper delves into the evolving landscape of artificial intelligence in higher education (AIHEd), its academic integrity and ethical concerns. The study has applied qualitative approach by using literature review as a research design and method to facilitate the aim of the study.The analysis of the paper reveals that AI has the potential to make a significant contribution to enhancing teaching and learning experiences, improving productivity and efficiency, as well as fostering inclusivity and accessibility. On the contrary, the increasing utilization of AI in higher education (AIHEd) raises the concerns about academic integrity and ethical issues, as it has the potential to lead to plagiarism, impede critical thinking, suppress creativity, and erode originality in teaching, research, and scholarship. Hence, upholding the integrity of scientific research requires a rigorous commitment to ethical and academic principles, placing human intelligence and critical thinking at the forefront of the research process. The advancement of artificial intelligence in higher education not only brings significant advantages, but also poses challenges to the fundamental principles, methodologies, standards, ethical considerations and academic integrity in both teaching and research. As a result, the primary focus should be on embracing the opportunities and benefits that arise from this advancement and effectively addressing any potential risks and challenges.

Artificial Intelligence in Higher Education: An Analysis of Existing Bibliometrics

Since its origin in the 1950s, artificial intelligence (AI) has evolved from technological to educational applications. AI is emerging as an essential tool in education. Its integration into education promises the personalization and the globalization of learning. Despite its potential, it is crucial to consider its ethical challenges and uses. This bibliometric study sought to understand the current state of AI in higher education in order to provide a basis for future research. A bibliometric analysis was conducted between 2017 and 2023, using the Scopus database. The query was performed on 23 October 2023 and focused on titles, keywords, and abstracts. A total of 870 articles were found, and their metadata were analyzed after removing incorrect data. VOSviewer software was used to visualize the similarities, and the publications were studied by country, authors, and collaborations. A steady growth in AI studies in higher education was found, highlighting areas such as computer science and social sciences. China and the United States led in production and citations. Keywords such as “artificial intelligence”, “chatgpt”, and “machine learning” indicated trends and areas of interest.