Application In Higher Education Research Articles

Supporting the Ethical Use of Artificial Intelligence Applications in Universities – A Research Based on Students Opinions

Purpose: The purpose of the research was to identify a feasible way to support the ethical use of AI in universities based on identifying how the AI software application ChatGPT is used in education at higher education institutions and with students in different majors. Study design/methodology/approach: The research methodology consisted of the following stages: (1) a survey based on a questionnaire designed considering the Technology Acceptance Model (TAM) framework to collect students’ opinions on the use of AI ChatGPT; (2) The results of the survey were used to design the materials of the AI Transmedia Campaign, but also to identify the best distribution channels of them; (3) After implementing the AI Transmedia Campaign, a feedback survey was developed, ascertaining the effectiveness of the approach to create an ethical behaviour towards the AI software application in general, and on AI ChatGPT, in particular. Findings: Research shows a gap in regulating the ethical use of AI applications in higher education. Thus, the AI Transmedia Campaign has been well received and appreciated by all categories of students. Originality/value: The research is international and was carried out in higher education institutions in Romania, Greece, and Slovenia (the size of the research sample, 2942, proves the scope of the study). The research results have demonstrated and characterised the students’ behaviour (the cognitive response and the intention to use) towards the use of AI ChatGPT and the utility of the AI Transmedia Campaign realised in the context of the implementation of the RespectNET project (2021-1-IT02-KA220-HED-000027578, https://respectnet.eu/).

Development of a Labor Stimulation Model that Increases the Work Capacity of Employees in Higher Education Institutions

The objective of this study is to create and test a labor stimulation model aimed at improving the productivity and efficiency of teachers and research staff at universities. The research included an analysis of existing stimulation models, the development of a new integrative model, its pilot implementation, and a subsequent analysis of results using qualitative and quantitative methods. A stimulation model was developed and successfully implemented, showing significant improvement in employee performance indicators. The developed labor stimulation model was successful in enhancing the performance of higher education institution staff and provided valuable insights for further research and practical application in higher education.

Exploration of virtual reality as a tool for simulating leadership and teamwork situations among university students

In the current educational context, virtual reality emerges as a revolutionary tool. By immersing students in immersive simulated environments, it facilitates deep understanding of abstract concepts and practical application of knowledge. The present study seeks to analyze the application of virtual reality as a tool to improve leadership and teamwork skills among university students through a literature review. A literature review of existing literature on the topic of virtual reality and its application in higher education was carried out, focusing specifically on studies that address the simulation of leadership and teamwork situations. Relevant research that provided insight into the benefits and challenges of VR in this context was selected and reviewed. The results of the literature review revealed a variety of studies that support the potential of virtual reality to improve the leadership and teamwork skills of university students. Virtual reality has been found to provide immersive experiences, safe environments, and immediate feedback that promote the development of these skills. However, challenges such as assessing the impact and accessibility of the technology have also been identified.

New advances in artificial intelligence applications in higher education?

New advances in artificial intelligence applications in higher education?

Utilizing Artificial Intelligence Applications in Higher Education

Utilizing Artificial Intelligence Applications in Higher Education

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 influence of AI text generators on critical thinking skills in UK business schools

ABSTRACT This study investigates the influence of generative artificial intelligence (GAI), specifically AI text generators (ChatGPT), on critical thinking skills in UK postgraduate business school students. Using Bloom’s taxonomy as theoretical underpinning, we adopt a mixed-method research employing a sample of 107 participants to investigate both the influence and challenges of these technologies in higher education. Our findings reveal that the most significant improvements occurred at the lower levels of Bloom’s taxonomy. We identify concerns relating to reliability, accuracy, and potential ethical implications of its application in higher education. The significance of this paper spans across, pedagogy, policy and practice, offering insights into the complex relationship between AI technologies and critical thinking skills. While highlighting the multifaceted aspects of the impact of AI in education, this article serves as a guide to educators and policymakers, stressing the importance of a comprehensive approach to fostering critical thinking and other transferable skills in the higher education landscape.

Blockchain Applications in Higher Education Based on the NIST Cybersecurity Framework

Blockchain Applications in Higher Education Based on the NIST Cybersecurity Framework

Web-based applications in higher education: revolutionising language learning in the digital age

This research article aimed to examine the utilisation of web applications in higher education, specifically focusing on their presentation and usage. Methodology: a mixed approach was used in the study. The results showed that by analysing how these applications are used and discussing user perspectives, the study shed light on the interplay between technical functionality and social engagement in information and communication technologies. Students in higher education view educational web applications as supplementary resources, utilising them for tasks such as translation and pronunciation practice. It can be concluded that the active and productive use of educational mobile applications by students in Ukraine has notably increased, particularly in the context of war. The key benefits reported by students included the accessibility and convenience of web-based educational tools. These applications serve as both learning aids and motivational tools, addressing challenges such as remote learning and limited English-language materials. The widespread use of web applications during times of war has proven instrumental in maintaining educational access and quality in Ukraine.

Social media as an e-learning tool for understanding the challenges of COVID-19 for students

This paper contributes to understanding opportunities to use social media to identify the priorities and challenges of students from different countries in digital and face-to-face learning and networking during the COVID-19 pandemic and in the new reality after this crisis. The COVID-19 crisis resulted in intensive new e-learning and hybrid learning applications in higher education. When there is a shift from a teacher-controlled class environment to a more learner-controlled social media, the role of the educator becomes more of a facilitator. The purpose of the research is to reveal learning preferences and networking challenges that students do not usually share in a class environment. This paper contributes to developing social media activities facilitated by instructors and combined with international learner-driven knowledge sharing in global crisis situations. To study the challenges of COVID-19 for students in online learning and physical interaction, netnography approach combined with educators’ interventions to study students’ preferences in the Facebook group Challenges in Online Learning – COVID-19 was applied. Research outcomes reveal that the most popular Facebook polls for students were questions about group work and exam arrangements during the pandemic and work from anywhere future prospects, cross-border mobility regulations during the COVID-19 pandemic and reasons why some students do not participate in web conferences using their computer cameras. Students shared the view that flexible online work from anywhere solutions will be, for many organisations, one of the trends that will remain after the COVID-19 crisis. The Facebook group enabled international knowledge sharing, where students and educators could share their views on many issues that will also influence the rapidly changing online learning and networking environment after the COVID-19 crisis. Applying social media in international knowledge sharing involving instructors and students from different countries can contribute to learning about the diversity of views in crisis situations and enhance international entrepreneurial collaboration.

Exploration of Artificial Intelligence (AI) Application in Higher Education

This article explores the implementation of Artificial Intelligence (AI) in higher education in Kolaka, Southeast Sulawesi. The research aims to identify and analyze how AI can be used to enhance the learning process and academic administration in universities. The research method includes primary data collection through interviews and observations, as well as secondary data from academic sources. The results show that AI contributes significantly to operational efficiency and the learning experience. This research provides new insights into the application of AI in the academic environment and offers recommendations for higher education institutions that want to integrate AI technology

Integration of Generative AI Techniques and Applications in Student Behavior and Cognitive Achievement in Arab Higher Education

The integration of Artificial Intelligence (AI) in higher education has the power to revolutionize the learning experience by fostering engagement, personalization, efficiency, and innovation. AI offers a wide range of exciting possibilities where AI-powered tools enable students to receive tailored feedback and guidance, enabling them to learn at their own pace and excel academically. This research aims to investigate the effects of generative AI techniques and applications on students’ cognitive achievement through student behavior. Data was collected through surveys in three Arab countries including Oman, Jordan and Yemen. 768 students from these Arab country’s universities were participated in completing surveys randomly. Structure Equation Modeling SEM-PLS was adopted to analysis data. Results reveal that generative AI techniques and applications have positive and significant effects on students’ cognitive achievement in Arab higher education institutions. Results also reveal that student behavior enhances the relationship among AI techniques, applications and cognitive achievement. These results highlight the crucial role of AI applications among students in higher education while the integration of this emerging technology is still at the first stage, students’ interaction with and utility of these applications show high satisfactory level of their impact on students’ behavior and cognitive achievement. This research contributes to literature of generative AI applications giving evidence from Arab region and filling the gap regarding usage of these applications in higher education.

Comparison of biomedical science students’ perceptions of online versus paper-based examinations

IntroductionOnline examinations are becoming increasingly incorporated into higher education. However, Biomedical Science students’ perspectives on exam format preferences remains unexplored. This study aims to investigate exam format preferences and attitudes of these students.MethodsA self-reported survey of 31 questions on online exam perceptions was utilized and composed of six dimensions: affective factors, validity, practicality, reliability, security, and pedagogy. Scores measured student attitudes around online exams. Additionally, categorical questions examined attitudes around open-book online exams (OBOEs), closed-book online exams (CBOEs), and paper-based exams (PBEs). Qualitative analysis was conducted via the use of open-ended questions and a focus group on five participants. The questionnaire was distributed to undergraduates and 146 students responded across six different programmes.ResultsThe findings revealed that 57.5% of students preferred OBOEs while only 19.9% preferred PBEs. OBOEs were perceived as more favorable in all six dimensions and superior in terms of reducing stress, ensuring fairness, allowing demonstration of understanding, and retaining information. Gender had no statistically significant influence on perception. However, programme statistically significantly affected responses. Qualitative data supported the main statistical analysis and identified a trade-off between the ability to retain information with PBEs, despite the stress and better demonstration of understanding with OBOEs.DiscussionOverall, OBOEs were viewed positively and were well accepted; they are anticipated to be a dominant examination format at the UoP. Institutions wishing to implement online exams should consider the perceived benefits they have over traditional exams. These findings contribute to the understanding of students’ perceptions of exam formats, which can inform their design and application in higher education. Further research should explore the perceptions of other disciplines and identify ways to address any challenges associated with online exams.

Exploring New Directions in Higher Education Aided by Artificial Intelligence Technology

Abstract This paper’s objective optimization problem belongs to the encoding problem of real numbers, and the classical particle swarm optimization algorithm is chosen. The establishment of intelligent learning model was finally completed through the assumption of model components, initial model establishment, model cycle evaluation and validation. First, after the implementation of the E-GPPE-C education model, the test was conducted on the educated people, and the AI literacy questionnaire was also distributed to the students before and after the implementation of the model education. Second, a statistical analysis explores which technologies will most likely be applied to higher education. Finally, the variability of higher education subject relations under the influence of AI and related ethical issues were explored. The results show that the highest score on the students’ final test was 96. 20 students scored more than 80 points, indicating that half of the students had a solid grasp of the knowledge and applications related to the E-GPPE-C model, and that there was a vast difference between the degree of AI knowledge and skill mastery before and after the implementation of education. Natural language understanding, computer vision, and biometrics are the three technologies most suitable for application in higher education.

ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION. A LITERATURE REVIEW

During the last decade, and especially since the launch of ChatGPT in late 2022, artificial intelligence has become a very hot topic for both professors and universities, raising concerns and challenges, as well as a wave of controversies. Using the methodology of bibliometric studies and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses protocol, the purpose of the investigation is to analyse the scientific production in the field of artificial intelligence’s applications in higher education. The paper is an overview of the main discussions and trends reflected in articles published between 1989 and November 2023 and indexed in the Web of Science Core Collection.

Studying students' attitudes towards the use of mobile applications and online resources for learning a foreign language in higher education institutions

The article deals with using mobile applications and online services for teaching foreign languages, which is becoming more and more widespread in the educational process of higher education institutions. There is a wide range of paid and free applications that are constantly being updated and developed. However, in the context of using such applications in higher education, selection and control become important tasks for a foreign language teacher. A survey of students from two universities reveals that the majority of students have experience of using mobile language learning apps, but only 67.9% recognise the positive impact on their level of knowledge. Among the disadvantages of their use are the monotony of tasks, loss of motivation, insufficient quantity and quality of information, and problems with performance stability. The analysis of the weaknesses of using mobile applications and online services for foreign language teaching points to important criteria for selecting resources for higher education teachers. First, given the different focus and functionality of applications, it is important to clearly understand the purpose and possibilities of using them as an additional teaching tool. Next, it is important to evaluate the autonomy of the app and take into account its affordability for students. Another important criterion is the ability to check assignments and track progress. The survey of students confirms a positive attitude towards the use of mobile applications, and the advantages they pointed out, such as convenience and accessibility, make these tools important for improving the process of learning foreign languages in higher education. Further research is needed to experimentally test the effectiveness of using certain mobile applications and online resources for teaching various aspects of a foreign language in the context of higher education

Systematic Review of Artificial Intelligence Application in Higher Education

The role of Higher Education in any society is inevitable when it comes to harmonious personality development of the youth and nation-building. The promising higher education system is research-oriented and is open to newer dimensions of teaching-learning pedagogy. One of the recent advancements in this sector is the emergence of the application of artificial intelligence which has eventually led to the emergence of New possibilities and challenges as well. The Massification of Higher Education and the diversified nature of curriculum has no doubt increased the workload of the teacher and the nature of the job has also undergone drastic changes. With changing times the teaching-learning methods including testing , measuring and evaluative processes involved in it , have experienced lots of changes recently with the interventions of the latest technology in the process. It is surprising to see how the application of artificial intelligence has aptly equipped not only teachers and teachers but also the whole system involved in the higher education system with its latest techniques. Despite all this, the use and application of artificial intelligence in higher education scenarios is still unclear to some extent especially in a country like India with different kinds of limitations when it comes to the use of technology. This paper tries to analyze the advantages and disadvantages of artificial intelligence and its role in the higher education system and finally the role of teacher in this respect.

ChatGPT's Applications in Higher Education: Unmasking Opportunities and Challenges

The emergence of generative artificial intelligence (AI), as demonstrated by models like ChatGPT, has garnered significant attention in recent times owing to its capacity to transform multiple domains of society, including higher education. Within academia, individuals such as students, educators, and scholars have already employed Large Language Models (LLMs) such as ChatGPT for a diverse range of academic and non-academic endeavors. However, there is still debate regarding the use of ChatGPT in higher education. The acceptability and validity of its impact on higher education have been a recent burning issue. The primary aim of this review paper is to elucidate the utilization of ChatGPT within the context of higher education, considering its possible opportunities and challenges. The data utilized in this study has been generated by examining published papers, websites, and blogs. Using an "introductory literature review," we have analyzed, synthesized, and explained the data that was generated. The findings revealed inadequate technological access, overreliance on AI, the presence of inaccuracies within subject-based knowledge, and the inability of educators to adapt teaching strategies are the core challenges of ChatGPT in higher education. However, besides these challenges, ChatGPT also brings opportunities like the advancement of learning efficiency, the concept of personalized learning, support for educators, and opportunities for skill enhancement.

Evolving landscape of artificial intelligence (AI) and assessment in education: A bibliometric analysis

The rapid evolution of digital technologies and computer sciences is ushering society into a technologically driven future where machines continually advance to meet human needs and enhance their own intelligence. Among these groundbreaking innovations, Artificial Intelligence (AI) is a cornerstone technology with far-reaching implications. This study undertakes a bibliometric review to investigate contemporary AI and assessment topics in education, aiming to delineate its evolving scope. The Web of Science Databases provided the articles for analysis, spanning from 1994 to September 2023. The study seeks to address research questions about prominent publication years, authors, countries, universities, journals, citation topics, and highly cited articles. The study’s findings illuminate the dynamic nature of AI in educational assessment research, with AI firmly establishing itself as a vital component of education. The study underscores global collaboration, anticipates emerging technologies, and highlights pedagogical implications. Prominent trends emphasize machine learning, Chat GPT, and their application in higher education and medical education, affirming AI's transformative potential. Nevertheless, it is essential to acknowledge the limitations of this study, including data currency and the evolving nature of AI in education. Nonetheless, AI applications are poised to remain a prominent concern in educational technology for the foreseeable future, promising innovative solutions and insights.

The Concept of Japanese Culture in Lean Production of the Toyota Automobile Company: Its Scientific Development and Application in Higher Education and Agriculture

The purpose of the article is to create a scientific theory of lean production of goods and services (the theory of thrift), from the perspective of Japanese culture which is applicable in higher education and agriculture. Currently, a new technological way is being formed. One of the key concepts of this technological way will be the scientific theory of lean manufacturing, which can be created based on the analysis of the practice of lean manufacturing of the Toyota automobile company. The analysis of the directions of crisis management indicates the growing relevance of the introduction of lean manufacturing of goods and services in all new areas of activity, in particular in higher education and agriculture as a part of Japanese culture. However, fragmentary implementation of lean manufacturing ideas can be inefficient. This necessitates the development of the concept and content of the general theory of lean production of goods and services in higher education and agriculture. The article describes the functions, roles, and structural elements of the general theory of lean production of goods and services, a conceptual approach to the introduction of lean production of goods and services in higher education and agriculture as a part of Japanese culture is being formed.