Publication Date
| In 2025 | 23 |
| Since 2024 | 240 |
| Since 2021 (last 5 years) | 426 |
| Since 2016 (last 10 years) | 493 |
| Since 2006 (last 20 years) | 531 |
Descriptor
Source
Author
| Chi, Min | 5 |
| Chan, Cecilia Ka Yuk | 3 |
| Gwo-Jen Hwang | 3 |
| McCarthy, Kathryn S. | 3 |
| Salas-Rueda, Ricardo-Adán | 3 |
| Yan Li | 3 |
| Al-Emran, Mostafa | 2 |
| Albreiki, Balqis | 2 |
| Amandi, Analia | 2 |
| Artur Strzelecki | 2 |
| Azevedo, Roger | 2 |
| More ▼ | |
Publication Type
Education Level
Location
| China | 41 |
| Taiwan | 20 |
| Turkey | 16 |
| United Kingdom | 15 |
| Germany | 12 |
| Malaysia | 11 |
| Saudi Arabia | 11 |
| Australia | 10 |
| India | 10 |
| Indonesia | 9 |
| Spain | 9 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| Test of English for… | 3 |
| Academic Motivation Scale | 1 |
| Michigan Test of English… | 1 |
| Program for International… | 1 |
| Test of English as a Foreign… | 1 |
| Wechsler Adult Intelligence… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkBenicio Gonzalo Acosta-Enriquez; Marco Agustín Arbulú Ballesteros; Carmen Graciela Arbulu Perez Vargas; Milca Naara Orellana Ulloa; Cristian Raymound Gutiérrez Ulloa; Johanna Micaela Pizarro Romero; Néstor Daniel Gutiérrez Jaramillo; Héctor Ulises Cuenca Orellana; Diego Xavier Ayala Anzoátegui; Carlos López Roca – International Journal for Educational Integrity, 2024
Artificial intelligence (AI) has been integrated into higher education (HE), offering numerous benefits and transforming teaching and learning. Since its launch, ChatGPT has become the most popular learning model among Generation Z college students in HE. This study aimed to assess the knowledge, concerns, attitudes, and ethics of using ChatGPT…
Descriptors: Student Attitudes, Ethics, Knowledge Level, Age Groups
Download full textFrank Stinar; Zihan Xiong; Nigel Bosch – Journal of Educational Data Mining, 2024
Educational data mining has allowed for large improvements in educational outcomes and understanding of educational processes. However, there remains a constant tension between educational data mining advances and protecting student privacy while using educational datasets. Publicly available datasets have facilitated numerous research projects…
Descriptors: Foreign Countries, College Students, Secondary School Students, Data Collection
Muhammad Alhammami – Discover Education, 2024
This paper outlines the development of a Hardware Development Kit (HDK) for a remote training platform on FPGA Devices designed to provide university students pursuing degrees in electronic and informatics engineering (at the bachelor's, master's, and PhD levels) with the tools they need to learn and develop systems related to artificial…
Descriptors: Computer System Design, Distance Education, College Students, Engineering Education
Natalie Patterson Mohr; Laura McNeill – International Journal on E-Learning, 2024
This multiple case analysis examines how AI ethics education's unique characteristics transform traditional e-learning approaches in synchronous and asynchronous environments. Through analysis of two contrasting cases -- Loyola Marymount University's synchronous workshops and Usher and Barak's asynchronous module -- the study investigates how…
Descriptors: Electronic Learning, Artificial Intelligence, Ethics, Values Education
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
Nadia Bouchhioua – Teaching English with Technology, 2024
Most regular practices of teacher-action research in ELT consist of identifying performance problems and providing specific treatments for the sake of improvement. However, teacher-action research does not dictate a specific methodology. The present teacher-action research is concerned with the implementation of an Advanced Prosody course in the…
Descriptors: English (Second Language), College Students, Phonetics, Pronunciation
Bearman, Margaret; Ajjawi, Rola – British Journal of Educational Technology, 2023
Artificial intelligence (AI) is increasingly integrating into our society. University education needs to maintain its relevance in an AI-mediated world, but the higher education sector is only beginning to engage deeply with the implications of AI within society. We define AI according to a relational epistemology, where, in the context of a…
Descriptors: Higher Education, Artificial Intelligence, Educational Strategies, College Students
Mohammed A. Al-Sharafi; Mostafa Al-Emran; Mohammad Iranmanesh; Noor Al-Qaysi; Noorminshah A. Iahad; Ibrahim Arpaci – Interactive Learning Environments, 2023
Artificial intelligence (AI)-based chatbots have received considerable attention during the last few years. However, little is known concerning what affects their use for educational purposes. This research, therefore, develops a theoretical model based on extracting constructs from the expectation confirmation model (ECM) (expectation…
Descriptors: Knowledge Management, Sustainability, Artificial Intelligence, Technology Uses in Education
An Expectancy Value Theory (EVT) Based Instrument for Measuring Student Perceptions of Generative AI
Chan, Cecilia Ka Yuk; Zhou, Wenxin – Smart Learning Environments, 2023
This study examines the relationship between student perceptions and their intention to use generative artificial intelligence (GenAI) in higher education. With a sample of 405 students participating in the study, their knowledge, perceived value, and perceived cost of using the technology were measured by an Expectancy-Value Theory (EVT)…
Descriptors: Student Attitudes, College Students, Artificial Intelligence, Technology Uses in Education
Kheira Ouassif; Benameur Ziani – Education and Information Technologies, 2025
The integration of educational data mining and deep neural networks, along with the adoption of the Apriori algorithm for generating association rules, focuses to resolve the problem of misdirection of students in the university, leading to their failure and dropout. This is reached through the development of an intelligent model that predicts the…
Descriptors: Predictor Variables, College Students, Majors (Students), Decision Making
Yizhou Fan; Luzhen Tang; Huixiao Le; Kejie Shen; Shufang Tan; Yueying Zhao; Yuan Shen; Xinyu Li; Dragan Gaševic – British Journal of Educational Technology, 2025
With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of supports from agents such as teachers, peers, education technologies, and recently, generative artificial intelligence such as ChatGPT. In particular, there has been a surge of academic interest in human-AI collaboration and…
Descriptors: College Students, Writing Achievement, Writing Exercises, Artificial Intelligence
Kevin Peyton; Saritha Unnikrishnan; Brian Mulligan – Discover Education, 2025
Within the university sector, student recruitment and enrolment are key strategies as institutions strive to attract, retain and engage students. This strategy is underpinned by the provision of services, applications and technologies that facilitate lecturing and support staff. Universities that offer online learning have a particular incentive…
Descriptors: Universities, Artificial Intelligence, Computer Mediated Communication, College Students
Gunasilan, Uma – Higher Education, Skills and Work-based Learning, 2022
Purpose: Debates are well known to encompass a variety of skills we would like higher education candidates to embody when they graduate. Design/methodology/approach: Debates in a classroom with computer science as the main subject has been popular in high schools particularly with emerging issues around the area, however it does not have as an…
Descriptors: Debate, Learning Activities, Teaching Methods, Programming
Zhang, Wei; Wang, Yu; Wang, Suyu – Education and Information Technologies, 2022
Educational data mining (DEM) provides valuable educational information by applying data mining tools and techniques to analyze data at educational institutions. In this paper, tree-based machine learning algorithms are used to predict students' overall academic performance in their bachelor's program. The transcript data of the students in the…
Descriptors: Grade Prediction, Academic Achievement, Models, Artificial Intelligence
Nora Moran; David Ackerman – Journal of Education for Business, 2024
Many companies use artificial intelligence (AI) to screen job applicants. With more colleges also adopting AI programs to provide feedback on job seekers' applications, will students be receptive to using these tools? This research shows certain key factors -- perceptions of AI program effectiveness and enjoyability, higher networking anxiety, and…
Descriptors: Artificial Intelligence, Career Readiness, Student Attitudes, Student Interests
