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Showing 1 to 15 of 132 results Save | Export
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Wali Khan Monib; Atika Qazi; Malissa Maria Mahmud – Education and Information Technologies, 2025
ChatGPT has emerged as a transformative technology with its remarkable ability to generate human-like responses, propelling its widespread adoption. While prior research has investigated the general landscape of AI-driven tools such as ChatGPT, the current study focuses specifically on exploring learners' experiences and perceptions regarding the…
Descriptors: Student Attitudes, Student Experience, Artificial Intelligence, Natural Language Processing
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Jiaqi Yin; Tiong-Thye Goh; Yi Hu – International Journal of Educational Technology in Higher Education, 2024
Educational chatbots (EC) have shown their promise in providing instructional support. However, limited studies directly explored the impact of EC on learners' emotional responses. This study investigated the induced emotions from interacting with micro-learning EC and how they impact learning motivation. In this context, the EC interactions…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Psychological Patterns
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Susan Shurden; Mike Shurden – Journal of Instructional Pedagogies, 2024
Artificial Intelligence (AI) is taking the world by storm. Higher education is not immune to this phenomenon and has many challenges in embracing AI. Much has been written lately concerning the typical application of AI in higher education, as well as in the classroom itself. The purpose of this paper is to gather information from students to…
Descriptors: Artificial Intelligence, Higher Education, College Students, Student Attitudes
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Louie Giray; Jonard Nemeño; Jelomil Edem – International Journal of Technology in Education, 2025
As artificial intelligence transforms education, ChatGPT has emerged as a tool for learning, reshaping how students engage with academic material. This study investigates ChatGPT's influence on student engagement among Filipino college students, focusing on self-management and intentional learning--two critical dimensions of self-directed…
Descriptors: Independent Study, Artificial Intelligence, Man Machine Systems, Natural Language Processing
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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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Rashid, M. Parvez; Xiao, Yunkai; Gehringer, Edward F. – International Educational Data Mining Society, 2022
Peer assessment can be a more effective pedagogical method when reviewers provide quality feedback. But what makes feedback helpful to reviewees? Other studies have identified quality feedback as focusing on detecting problems, providing suggestions, or pointing out where changes need to be made. However, it is important to seek students'…
Descriptors: Peer Evaluation, Feedback (Response), Natural Language Processing, Artificial Intelligence
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Ravi Sankar Pasupuleti; Deepthi Thiyyagura – Education and Information Technologies, 2024
The aim of this research is to discover the continuance and recommendation intention of higher education students who are using ChatGPT. Specifically, we proposed an extend technology continuance theory (TCT) by integrating the recommendation intention. A structured Google form is used to collect the data from the higher education students…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Intention
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Sultan Hammad Alshammari; Mohammed Habib Alshammari – International Journal of Information and Communication Technology Education, 2024
The current study aims at assessing the factors which could affect students' use of ChatGPT. The study proposed a theoretical model that included five factors. Data were collected from 136 students using a questionnaire. The data were analyzed using two steps: CFA for measuring the model and SEM for analyzing the relationships and testing…
Descriptors: Influences, Technology Uses in Education, Artificial Intelligence, Natural Language Processing
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Anjee Gorkhali; Asim Shrestha – International Journal of Information and Learning Technology, 2025
Purpose: Educators are raising ethical concerns over the use of ChatGPT in schools. They have implemented various strategies to minimize its use, particularly by labeling ChatGPT-produced work as plagiarism. However, the use of ChatGPT among students is still on the rise. Our study aims to find the behavioral motivation behind students' increased…
Descriptors: Self Concept, Prevention, Student Behavior, Artificial Intelligence
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Mehedi Hasan Anik; Shahriar Nafees Chowdhury Raaz; Nushat Khan – International Journal of Artificial Intelligence in Education, 2025
Artificial intelligence (AI) technologies, especially language models like ChatGPT, are revolutionizing academic writing by generating human-like text and supporting thesis development. While some research explores ChatGPT in academic writing, none compares the experiences of young researchers using AI for the first time versus non-users in their…
Descriptors: Artificial Intelligence, Theses, Research, Science Education
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Yuxia Ma – European Journal of Education, 2025
The benefits of Generative Artificial Intelligence (GenAI) in enhancing second language (L2) learning are well established. However, these advantages can only be realised if learners are willing to adopt the technology. This study, grounded in the Theory of Planned Behaviour (TPB), investigated the factors influencing the behavioural intention to…
Descriptors: College Students, Student Attitudes, Artificial Intelligence, Technology Uses in Education
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Ananta Ardyansyah; Agung Budhi Yuwono; Sri Rahayu; Naif Mastoor Alsulami; Oktavia Sulistina – Journal of Chemical Education, 2024
The rapid development of artificial intelligence (AI) has transformed chatbots into generative pre-trained transformers (GPTs) capable of performing various tasks. The use of GPTs is expanding to learning, including natural sciences like chemistry. GPTs can assist students in understanding and solving chemistry problems. However, there are…
Descriptors: Foreign Countries, Artificial Intelligence, Man Machine Systems, Natural Language Processing
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Thi Thuy An Ngo; Gia Khuong An; Phuong Thy Nguyen; Thanh Tu Tran – Journal of Information Technology Education: Research, 2024
Aim/Purpose: The main goal of this study is to investigate the factors affecting students' satisfaction and continuous usage of ChatGPT in an educational context, using the Expectation-Confirmation Model (ECM) as the theoretical framework. Specifically, this investigation focuses on identifying how user expectations, perceived usefulness, and…
Descriptors: Student Satisfaction, Learner Engagement, Sustainability, Artificial Intelligence
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Al Shamsi, Jawaher Hamad; Al-Emran, Mostafa; Shaalan, Khaled – Education and Information Technologies, 2022
Artificial intelligence (AI)-based voice assistants have become an essential part of our daily lives. Yet, little is known concerning what motivates students to use them in educational activities. Therefore, this research develops a theoretical model by extending the technology acceptance model (TAM) with subjective norm, enjoyment, facilitating…
Descriptors: Artificial Intelligence, Technology Uses in Education, Trust (Psychology), Usability
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Roy, Abhik; Rambo-Hernandez, Karen E. – American Journal of Evaluation, 2021
Evaluators often find themselves in situations where resources to conduct thorough evaluations are limited. In this paper, we present a familiar instance where there is an overwhelming amount of open text to be analyzed under the constraints of time and personnel. In instances when timely feedback is important, the data are plentiful, and answers…
Descriptors: Artificial Intelligence, Engineering Education, Natural Language Processing, College Students
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