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Adil Baqach; Amal Battou – Education and Information Technologies, 2024
Nowadays, e-learning is a significant learning option, especially in light of the COVID-19 pandemic. However, it is a very challenging task because, in online courses, tutors have no direct interaction with students, which causes most of them to lose interest and ultimately drop out of their studies. In regular classes, teachers can see how each…
Descriptors: MOOCs, Student Attitudes, Student Reaction, Tutors
Jan Delcker; Joana Heil; Dirk Ifenthaler; Sabine Seufert; Lukas Spirgi – International Journal of Educational Technology in Higher Education, 2024
The influence of Artificial Intelligence on higher education is increasing. As important drivers for student retention and learning success, generative AI-tools like translators, paraphrasers and most lately chatbots can support students in their learning processes. The perceptions and expectations of first-years students related to AI-tools have…
Descriptors: Artificial Intelligence, Learning Processes, Higher Education, College Freshmen
Yazid Albadarin; Mohammed Saqr; Nicolas Pope; Markku Tukiainen – Discover Education, 2024
Over the last four decades, studies have investigated the incorporation of Artificial Intelligence (AI) into education. A recent prominent AI-powered technology that has impacted the education sector is ChatGPT. This article provides a systematic review of 14 empirical studies incorporating ChatGPT into various educational settings, published in…
Descriptors: Artificial Intelligence, Computer Software, Research Reports, Meta Analysis
Slade, Sharon; Prinsloo, Paul; Khalil, Mohammad – Information and Learning Sciences, 2023
Purpose: The purpose of this paper is to explore and establish the contours of trust in learning analytics and to establish steps that institutions might take to address the "trust deficit" in learning analytics. Design/methodology/approach: "Trust" has always been part and parcel of learning analytics research and practice,…
Descriptors: Trust (Psychology), Learning Analytics, Privacy, Artificial Intelligence
Yu-Min Wang; Chung-Lun Wei; Hsin-Hui Lin; Sheng-Ching Wang; Yi-Shun Wang – Interactive Learning Environments, 2024
As artificial intelligence (AI) technology rapidly develops and is deployed, students increasingly need to understand and learn AI-related skills for future employment. This study investigates how students' AI learning anxiety and AI job replacement anxiety affect intrinsic/extrinsic learning motivations and subsequent AI learning intention. The…
Descriptors: Learning Processes, Artificial Intelligence, Anxiety, Employment Opportunities
Atef Odeh AbuSa’aleek; Aied Alenizi – Teaching English with Technology, 2024
To better understand the use of ChatGPT as a tool for learning in higher education, this investigation reports student responses to an e-questionnaire investigating their perspectives on it. In particular, it delves into whether there are any significant differences between opinions based on gender and the level of study of 51 postgraduate…
Descriptors: Graduate Students, Student Attitudes, Artificial Intelligence, Synchronous Communication
Adcharawan Buripakdi; Le Truong An – LEARN Journal: Language Education and Acquisition Research Network, 2024
Amidst the integration of AI tools in education, ChatGPT is considered prevalent for its potential capacities. Although research into this phenomenon has been conducted by worldwide scholars, little has been known about the perceptions of Ph.D. students of non-English speaking countries. Hence, this qualitative study shifted the focus to this…
Descriptors: Doctoral Students, Foreign Countries, Student Attitudes, Artificial Intelligence
David Roldan-Alvarez; Francisco J. Mesa – IEEE Transactions on Education, 2024
Artificial intelligence (AI) in programming teaching is something that still has to be explored, since in this area assessment tools that allow grading the students work are the most common ones, but there are not many tools aimed toward providing feedback to the students in the process of creating their program. In this work a small sized…
Descriptors: Intelligent Tutoring Systems, Grading, Artificial Intelligence, Feedback (Response)
Xiaoxia Ye; Jinguo Zhang; Mark Shelbourn – International Journal of Web-Based Learning and Teaching Technologies, 2024
After nearly 30 years after the reform and opening up the rapid development of economy, China also had a "industrial pollution" and "poverty", mainly because of the low level of productivity, population pressure overload caused by environmental degradation, and between population pressure and environmental degradation A vicious…
Descriptors: Foreign Countries, College Students, Knowledge Level, Environmental Education
Joko Gunawan; Yupin Aungsuroch; Colleen Marzilli; Nazliansyah; Erni Chaerani; Jed Montayre – SAGE Open, 2024
This study aimed to explore the perspectives of Indonesian nursing students on the utilization of ChatGPT in their learning process. A qualitative descriptive design was conducted among 19 second-year nursing students (age 18-20) who were purposively selected. Data were collected in February 2023 through online (Zoom meetings) and offline…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Software, Nursing Students
Chanaa, Abdessamad; El Faddouli, Nour-eddine – International Journal of Information and Communication Technology Education, 2022
Massive open online courses (MOOCs) have evolved rapidly in recent years due to their open and massive nature. However, MOOCs suffer from a high dropout rate, since learners struggle to stay cognitively and emotionally engaged. Learner feedback is an excellent way to understand learner behaviour and model early decision making. In the presented…
Descriptors: MOOCs, Student Attitudes, Data Analysis, Electronic Learning
Neo, Mai – Turkish Online Journal of Distance Education, 2022
The COVID-19 pandemic has accelerated the educational landscape of institutions of higher education, which were predominantly face-to-face. In Malaysia, many universities converted their courses into online courses to keep up with the challenges of working from home during the pandemic, using web technologies and blended learning approaches.…
Descriptors: Foreign Countries, Student Attitudes, Artificial Intelligence, Computer Mediated Communication
Wasan Watkraw; Thosporn Sangsawang – Turkish Online Journal of Educational Technology - TOJET, 2023
The objectives of this study were to: 1) investigate the efficiency of an augmented reality media on Thai rice products for upper secondary level (Grades 10-12) students in Pathum Thani province, 2) compare students' achievements before and after learning through the augmented reality media on Thai rice products for upper secondary level (Grades…
Descriptors: Foreign Countries, Artificial Intelligence, Food, Computer Simulation
Yun-Fang Tu; Gwo-Jen Hwang – Interactive Learning Environments, 2024
The present study employed the draw-a-picture technique and epistemic network analysis (ENA) to reveal university students' viewpoints on ChatGPT-supported learning, as well as the conceptions, roles, and educational objectives of ChatGPT-supported learning among university students with different learning attitudes. The results showed that…
Descriptors: College Students, Student Attitudes, Knowledge Level, Artificial Intelligence
Genimon Vadakkemulanjanal Joseph; P. Athira; M. Anit Thomas; Dawn Jose; Therese V. Roy; Malavika Prasad – Digital Education Review, 2024
The technology-supported education systems seamlessly integrated throughout the globe in response to the demands of post COVID-19 pandemic. The swift developments of the digital tools with Artificial Intelligence (AI) support are also readily diffused among the educational communities. This research paper investigates the synergistic impact of…
Descriptors: Digital Literacy, Artificial Intelligence, Computer Software, Learning Processes