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Showing 91 to 105 of 542 results Save | Export
Ryan Paul Guthridge – ProQuest LLC, 2022
Three studies in this dissertation examined a topic centered around delayed flight progress in aviation pilot training. Study one explored the impact of nonconcurrent flight laboratory training on the academic outcomes of collegiate aviation students, while studies two and three explored virtual reality and artificial intelligence as potential…
Descriptors: Flight Training, Artificial Intelligence, College Students, Aviation Education
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Allie Michael; Abdullah O. Akinde – Assessment Update, 2024
Open-ended responses to surveys can be highly beneficial to higher education institutions, providing clarity and context that quantitative data can sometimes lack. However, analyzing open-ended responses typically takes time and manpower most institutional assessment offices do not have to spare. This study focused on finding a potential solution…
Descriptors: Artificial Intelligence, Natural Language Processing, Student Surveys, Feedback (Response)
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Muhammad Abbas; Farooq Ahmed Jam; Tariq Iqbal Khan – International Journal of Educational Technology in Higher Education, 2024
While the discussion on generative artificial intelligence, such as ChatGPT, is making waves in academia and the popular press, there is a need for more insight into the use of ChatGPT among students and the potential harmful or beneficial consequences associated with its usage. Using samples from two studies, the current research examined the…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Student Attitudes
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Nisar Ahmed Dahri; Noraffandy Yahaya; Waleed Mugahed Al-Rahmi; Muhammad Saleem Vighio; Fahad Alblehai; Rahim Bux Soomro; Anna Shutaleva – Education and Information Technologies, 2024
The rapid advancement of artificial intelligence (AI) technologies has led to a transformation in higher education worldwide. AI tools provide academic support to students anywhere and anytime to enhance their knowledge and skills. Those facing difficulties have been relying on traditional support and guidance. However, this support has…
Descriptors: Artificial Intelligence, Foreign Countries, Academic Support Services, Technology Uses in Education
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Yong Jik Lee; Robert O. Davis – Contemporary Educational Technology, 2024
This research investigated the effects of generative AI on affective factors (motivation, interest, and confidence) of English as a foreign language (EFL) learners enrolled in Korean university-level general English courses. During the Spring 2024 semester, this study involved 89 participants exposed to a generative AI-based instruction model.…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Artificial Intelligence
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Cong Doanh Duong; Thanh Hieu Nguyen; Thi Viet Nga Ngo; Van Thanh Dao; Ngoc Diep Do; Thanh Van Pham – International Journal of Information and Learning Technology, 2024
Purpose: The advent of artificial intelligence technologies, exemplified by platforms such as ChatGPT, has created a profound global impact, with a particular resonance in education. This research aims to integrate the information systems success (ISS) model with the stimulus-organism-response (SOR) paradigm to explore how information quality and…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Technology Uses in Education
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Chen, Binbin; Bao, Lina; Zhang, Rui; Zhang, Jingyu; Liu, Feng; Wang, Shuai; Li, Mingjiang – Journal of Educational Computing Research, 2024
Language learning has increasingly benefited from Computer-Assisted Language Learning (CALL) technologies, especially with Artificial Intelligence involved in recent years. CALL in writing learning acknowledged as the core of language learning is being realized by technologies like Automated Writing Evaluation (AWE), and Automated Essay Scoring…
Descriptors: Computer Assisted Instruction, English (Second Language), Second Language Learning, Writing Instruction
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Kraisila Kanont; Pawarit Pingmuang; Thewawuth Simasathien; Suchaya Wisnuwong; Benz Wiwatsiripong; Kanitta Poonpirome; Noawanit Songkram; Jintavee Khlaisang – Electronic Journal of e-Learning, 2024
This study investigates the factors influencing the adoption of Generative-AI tools amongst Thai university students, employing the Technology Acceptance Model (TAM) as a theoretical framework. Data from 911 higher education students from 10 different Thai Universities Health Sciences, Sciences and Technology, Social Sciences and Humanities, and…
Descriptors: Artificial Intelligence, College Students, Student Attitudes, Educational Technology
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Thuy Nhu Thi Nguyen; Nam Van Lai; Quyet Thi Nguyen – Educational Process: International Journal, 2024
Background/purpose: The integration of ChatGPT at Ho Chi Minh City University of Technology and Education (HCMUTE) aims to transform teaching and learning dynamics. This research evaluates ChatGPT's impact on student learning behaviors, exploring its potential to enhance educational outcomes while addressing ethical concerns. Materials/methods: A…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Higher Education
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David Baidoo-Anu; Daniel Asamoah; Isaac Amoako; Inuusah Mahama – Discover Education, 2024
This study examined the perspectives of Ghanaian higher education students on the use of ChatGPT. The Students' ChatGPT Experiences Scale (SCES) was developed and validated to evaluate students' perspectives of ChatGPT as a learning tool. A total of 277 students from universities and colleges participated in the study. Through exploratory factor…
Descriptors: Student Attitudes, Artificial Intelligence, Higher Education, Foreign Countries
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Tobias Alexander Bang Tretow-Fish; Bjarke Lindsø Andersen; Thilde Emilie Møller; Anne-Mette Nortvig – Journal of Learning Development in Higher Education, 2024
This article presents findings from a research project that aimed to replace physical books with an adaptive learning platform, Area9 Rhapsode™, for nursing students' class preparation. As the project expanded, it became evident that students employed diverse preparation practices, prompting an investigation into their preparation habits. This is…
Descriptors: Foreign Countries, Study Habits, Nursing Education, Student Attitudes
Eric David Abrams – ProQuest LLC, 2024
ChatGPT and generative AI technologies have infiltrated our learning spaces, and, as a result, schools may be changed forever. While some educators may seek to ban the use of chatbots, motivated by a fear of the rampant plagiarism the technology might invite, I, however, write this dissertation with the intent of finding uses for AI as a…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, English Instruction
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Paul Prinsloo; Mohammad Khalil; Sharon Slade – British Journal of Educational Technology, 2024
Students' physical and digital lives are increasingly entangled. It is difficult to separate students' "digital" well-being from their offline well-being given that artificial intelligence increasingly shapes both. Within the context of education's fiduciary and moral duty to ensure safe, appropriate and effective digital learning spaces…
Descriptors: Educational Technology, Technology Uses in Education, Well Being, Artificial Intelligence
Samuel S. Davidson – ProQuest LLC, 2024
Automated corrective feedback (ACF), in which a computer system helps language learners identify and correct errors in their writing or speech, is considered an important tool for language instruction by many researchers. Such systems allow learners to correct their own mistakes, thereby reducing teacher workload and potentially preventing issues…
Descriptors: Computer Assisted Testing, Automation, Student Evaluation, Feedback (Response)
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Pin-Hui Li; Hsin-Yu Lee; Chia-Ju Lin; Wei-Sheng Wang; Yueh-Min Huang – Journal of Educational Computing Research, 2025
The core purpose of integrating inquiry-based learning strategies into STEM activities is to create a challenging learning environment that stimulates students' active learning, thereby effectively enhancing their interest in learning, thinking skills, and practical application abilities. To achieve these goals, developing more technology-assisted…
Descriptors: Computer Software, Artificial Intelligence, Synchronous Communication, Active Learning
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