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Wu Xu; Zhang Wei; Peng Yan – European Journal of Education, 2025
This study investigates the use of Large Language Models (LLMs) by undergraduates majoring in Instrumentation and Control Engineering (ICE) at University of Shanghai for Science and Technology. We conducted a questionnaire survey to assess the awareness and usage habits of these LLMs among ICE undergraduates in ICE courses, focusing on the model…
Descriptors: Artificial Intelligence, Natural Language Processing, Engineering Education, Majors (Students)
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Abdulrahman M. Al-Zahrani – SAGE Open, 2025
This study examines the impact of Artificial Intelligence (AI) chatbots on the loss of human connection and emotional support among higher education students. To do so, a quantitative research design is employed. An online survey questionnaire is distributed to a sample of 819 higher education students, assessing concerns about human connection,…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, College Students
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Shamola Pramjeeth; Priya Ramgovind – New Directions for Teaching and Learning, 2025
While AI has the potential to streamline assessment development in higher education, there are concerns about its reliability, fairness, and potential to perpetuate bias. This study sought to understand the perceptions of academics and teaching and learning (T&L) specialists on the use of AI tools and large language models on assessment…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Educational Assessment
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Yuan Chih Fu; Jin Hua Chen; Kai Chieh Cheng; Xuan Fen Yuan – Higher Education: The International Journal of Higher Education Research, 2024
Using data from approximately 342,000 course-taking records collected from 4406 college students enrolled at Taipei Tech during the 2009-2012 academic years, we examine the impact of multidisciplinarity on students' academic performance. Our study contributes to the literature in three ways. First, by applying natural language processing (NLP), we…
Descriptors: College Students, Interdisciplinary Approach, Academic Achievement, Natural Language Processing
Reima Al-Jarf – Online Submission, 2024
This study explores Arab university faculty's views on fully AI-generated assignments and research papers submitted by students, what reasons they give for their stance and how they react in this case. Surveys with a sample of 45 Arab instructors revealed that 98% do not accept AI-generated assignments and research papers from students at all.…
Descriptors: Assignments, Research Papers (Students), Foreign Countries, College Faculty
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Nisar Ahmed Dahri; Noraffandy Yahaya; Waleed Mugahed Al-Rahmi – Education and Information Technologies, 2025
Enhancing student academic success and career readiness is important in the rapidly evolving educational field. This study investigates the influence of ChatGPT, an AI tool, on these outcomes using the Stimulus-Organism-Response (SOR) theory and constructs from the Technology Acceptance Model (TAM). The aim is to explore how ChatGPT impacts…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Career Readiness
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Navreet Kaur Rana – Higher Education for the Future, 2025
The article is an exploratory study assessing the stance selected higher education institutes (HEIs) have adopted regarding the usage of generative artificial intelligence (AI) applications in academic research. The HEIs are selected based on purposive sampling in order to showcase different stances they have adopted to curb plagiarism and uphold…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Plagiarism
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Muhammad Farrukh Shahzad; Shuo Xu; Hira Zahid – Education and Information Technologies, 2025
Artificial Intelligence (AI) technologies have rapidly transformed the education sector and affect student learning performance, particularly in China, a burgeoning educational landscape. The development of generative artificial intelligence (AI) based technologies, such as chatbots and large language models (LLMs) like ChatGPT, has completely…
Descriptors: Artificial Intelligence, Technology Uses in Education, Academic Achievement, Self Efficacy
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Muna Barakat; Nesreen A. Salim; Malik Sallam – Open Praxis, 2025
Integration of ChatGPT into higher education requires assessing university educators' perspectives regarding this novel technology. This study aimed to validate a survey instrument specifically tailored to assess ChatGPT usability and acceptability among university educators based on the Technology Acceptance Model (TAM). The survey instrument…
Descriptors: College Faculty, Teacher Attitudes, Artificial Intelligence, Man Machine Systems
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Elisabeth Bauer; Michael Sailer; Frank Niklas; Samuel Greiff; Sven Sarbu-Rothsching; Jan M. Zottmann; Jan Kiesewetter; Matthias Stadler; Martin R. Fischer; Tina Seidel; Detlef Urhahne; Maximilian Sailer; Frank Fischer – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence, particularly natural language processing (NLP), enables automating the formative assessment of written task solutions to provide adaptive feedback automatically. A laboratory study found that, compared with static feedback (an expert solution), adaptive feedback automated through artificial neural networks…
Descriptors: Artificial Intelligence, Feedback (Response), Computer Simulation, Natural Language Processing
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Muhammad Jaffar; Nazir Ahmed Jogezai; Abdul Rais Abdul Latiff; Fozia Ahmed Baloch; Gulab Khan Khilji – Journal of Applied Research in Higher Education, 2025
Purpose: The objective of this study was to elucidate the intentions of university teachers regarding the utilization of ChatGPT for instructional purposes. Design/methodology/approach: In this cross-sectional quantitative research, data were collected through an online survey tool from 493 university teachers across Pakistan. Findings: The…
Descriptors: College Faculty, Teacher Attitudes, Artificial Intelligence, Man Machine Systems
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Arslan Selçuk, Semra; Mutlu Avinç, Günes – International Journal of Technology and Design Education, 2022
Biomimicry has been proposed as an important tool to reach key skills for the new century. It has taken its place as an essential resource for critical and creative thinking in design disciplines. However, as emphasized in many studies, bio-informed research requires interdisciplinary collaboration and systematic knowledge transfer. This article…
Descriptors: Natural Language Processing, Biology, Architectural Education, Building Design
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Kudzayi Savious Tarisayi – Cogent Education, 2024
As artificial intelligence proliferates, so do associated hopes and fears. This study explores such tensions within South African higher education following ChatGPT's launch, analyzing perceived threats alongside opportunities for responsibly harnessing benefits. Adopting a socio-technical framework recognizing technology's interdependence with…
Descriptors: Foreign Countries, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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Leen Adel Gammoh – Journal of Further and Higher Education, 2024
ChatGPT, a user-friendly and accessible AI tool, offers a revolutionary approach to academic learning. In spite of its benefits, the implementation of ChatGPT into university assignments presents possible risks for students. While extensive global research has studied these risks from students' perspectives, a notable gap exists in comprehending…
Descriptors: Artificial Intelligence, Natural Language Processing, Risk, Barriers
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Musa Adekunle Ayanwale; Rethabile Rosemary Molefi – International Journal of Educational Technology in Higher Education, 2024
The increasing prevalence of Fourth Industrial Revolution (4IR) technologies has led to a surge in the popularity of AI application tools, particularly chatbots, in various fields, including education. This research explores the factors influencing undergraduate students' inclination to embrace AI application tools, specifically chatbots, for…
Descriptors: Undergraduate Students, Intention, Student Attitudes, Artificial Intelligence
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