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Moravec, John W.; Martínez-Bravo, María Cristina – On the Horizon, 2023
Purpose: The purpose of this study is to identify global trends in disruptive technological change and map the social and policy implications, particularly as they relate to the educational ecosystem and main stakeholders across all levels of education. Design/methodology/approach: The authors conducted a two-stage meta-analysis of 1,155…
Descriptors: Educational Trends, Global Approach, Educational Policy, Influence of Technology
Educational Data Mining: An Application of a Predictive Model of Online Student Enrollment Decisions
Cody Gene Singer – ProQuest LLC, 2023
College and university enrollment has decreased nationwide every year for more than a decade as educational consumers increasingly question the value of higher education and discover alternatives to the traditional university system. Enrollment professionals seeking growth are tasked to develop and implement innovative solutions to address…
Descriptors: Data Collection, Predictor Variables, Electronic Learning, Enrollment
Antony, Soniya; Ramnath, R. – IAFOR Journal of Education, 2023
This study examines the impact of AI chatbots as a communication medium on student engagement and support in higher education. The qualitative method and Interpretative Phenomenological Analysis (IPA) were employed as the research approach, utilizing in-depth semi-structured interviews. Purposive sampling was used to select 11 participants from…
Descriptors: Artificial Intelligence, Technology Uses in Education, Databases, Learner Engagement
Neil Kramm; Sioux McKenna – Teaching in Higher Education, 2023
The dominant response within higher education to the emergence of free online text- and graphic-generating software has been a concern with identifying AI usage in students' work. We argue that this is both a waste of time and neglects our educational responsibilities. A police-catch-punish approach to AI, as with the use of this process in…
Descriptors: Artificial Intelligence, Higher Education, Plagiarism, Learning Experience
Baig, Maria Ijaz; Yadegaridehkordi, Elaheh; Shuib, Liyana; Sallehuddin, Hasimi – Education and Information Technologies, 2023
Even though big data offers new opportunities to organizations, big data adoption (BDA) is still in the early stages of introduction, and its determinants remain unclear in many sectors. Therefore, this research intended to identify the determinants of BDA in the education sector. A theoretical model was developed based on the integration of the…
Descriptors: Foreign Countries, Learning Analytics, Higher Education, Structural Equation Models
Emily Oakes; Yih Tsao; Victor Borden – Association for Institutional Research, 2023
Accelerating advancements in learning analytics and artificial intelligence (AI) offers unprecedented opportunities for improving educational experiences. Without including students' perspectives, however, there is a potential for these advancements to inadvertently marginalize or harm the very individuals these technologies aim to support. This…
Descriptors: Learning Analytics, Artificial Intelligence, Student Participation, Decision Making
Leif Sundberg; Jonny Holmström – Journal of Information Systems Education, 2024
With recent advances in artificial intelligence (AI), machine learning (ML) has been identified as particularly useful for organizations seeking to create value from data. However, as ML is commonly associated with technical professions, such as computer science and engineering, incorporating training in the use of ML into non-technical…
Descriptors: Artificial Intelligence, Conventional Instruction, Data Collection, Models
Soumya Ranjan Das; Madhusudan J. V. – International Journal of Technology in Education, 2024
In the context of contemporary technological advancements, Artificial Intelligence (AI) has gained considerable significance in the field of education. In light of ChatGPT's growing popularity, this research aims to explore how higher education students perceive the use of ChatGPT in academics, examining factors influencing its acceptance, as well…
Descriptors: Technology Uses in Education, Artificial Intelligence, Intelligent Tutoring Systems, Student Attitudes
Russell Butson; Rachel Spronken-Smith – Higher Education Research and Development, 2024
This article weighs in on the developing discourse on AI's role in higher education research through a structured dialogue between two diametrically opposed academics. Utilising a dialectical framework, the discourse transcends surface-level debates to grapple with ethical, methodological, and epistemological questions that are often overlooked,…
Descriptors: Artificial Intelligence, Educational Research, Higher Education, Technology Uses in Education
Colin Madland; Valerie Irvine; Chris DeLuca; Okan Bulut – OTESSA Journal, 2024
The purpose of this paper is to describe the development of a new framework for understanding technology-integrated assessment in higher education based on a review of the literature using the assessment design in a digital world framework (Bearman et al., 2022) as a lens. Our review (Madland et al., 2024) revealed both congruities and…
Descriptors: Technology Uses in Education, Technology Integration, Educational Technology, Evaluation Methods
Kenneth David Strang; Narasimha Rao Vajjhala – Industry and Higher Education, 2024
This study explores integrating industry-crowdsourced projects within capstone courses of a 4-year Bachelor of Science program at an accredited American university. A unique business consulting model was developed for the final year course, aligning students with 16-weeks industry projects that reflected their academic goals and the program's…
Descriptors: Industry, Universities, Higher Education, Capstone Experiences
Mikkel Godsk; Pernille Risør Elving – Journal of Interactive Learning Research, 2024
The article provides an answer to the question: 'How can ChatGPT be used as an educational technology for learning?' by identifying its educational benefits and downsides for teaching and learning as seen from the educators' perspective. To answer this question a mixed methods case study was carried out in the context of two workshops involving a…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Learning Processes
Mehmet Kanik – International Journal of Assessment Tools in Education, 2024
ChatGPT has surged interest to cause people to look for its use in different tasks. However, before allowing it to replace humans, its capabilities should be investigated. As ChatGPT has potential for use in testing and assessment, this study aims to investigate the questions generated by ChatGPT by comparing them to those written by a course…
Descriptors: Artificial Intelligence, Testing, Multiple Choice Tests, Test Construction
Pritpal Singh Bhullar; Mahesh Joshi; Ritesh Chugh – Education and Information Technologies, 2024
ChatGPT has emerged as a significant subject of research and exploration, casting a critical spotlight on teaching and learning practices in the higher education domain. This study examines the most influential articles, leading journals, and productive countries concerning citations and publications related to ChatGPT in higher education, while…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Higher Education
Philip Newton; Maira Xiromeriti – Assessment & Evaluation in Higher Education, 2024
Media coverage suggests that ChatGPT can pass examinations based on multiple choice questions (MCQs), including those used to qualify doctors, lawyers, scientists etc. This poses a potential risk to the integrity of those examinations. We reviewed current research evidence regarding the performance of ChatGPT on MCQ-based examinations in higher…
Descriptors: Multiple Choice Tests, Artificial Intelligence, Integrity, Computer Software