Publication Date
| In 2025 | 1 |
| Since 2024 | 7 |
| Since 2021 (last 5 years) | 9 |
| Since 2016 (last 10 years) | 11 |
| Since 2006 (last 20 years) | 12 |
Descriptor
Source
| Education and Information… | 5 |
| Cogent Education | 1 |
| Educational Technology &… | 1 |
| Electronic Journal of… | 1 |
| Interactive Learning… | 1 |
| International Association for… | 1 |
| International Journal of… | 1 |
| International Journal of… | 1 |
Author
| Abubakar, A. Mohammed | 1 |
| Akgül, Yakup | 1 |
| Amal Alrayes | 1 |
| Anass Bayaga | 1 |
| Anto Hidayat | 1 |
| Artur Strzelecki | 1 |
| Baptista Nunes, Miguel, Ed. | 1 |
| Dalal Abdulkarim Ahmed | 1 |
| Dasuki, Salihu Ibrahim | 1 |
| Dirk Ifenthaler | 1 |
| Helmiatin | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 11 |
| Reports - Research | 11 |
| Collected Works - Proceedings | 1 |
Education Level
| Higher Education | 12 |
| Postsecondary Education | 12 |
| Elementary Education | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkAnass Bayaga – Education and Information Technologies, 2025
This study examines the influence of AI-powered and emerging technologies on pedagogical practices in higher education, focusing on their role on behavioural intention (BI) and actual usage among educators and students. The research hypothesises that the relationship between each Unified Theory of Acceptance and Use of Technology (UTAUT)…
Descriptors: Artificial Intelligence, Educational Technology, Teaching Methods, Educational Innovation
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
Artur Strzelecki; Karina Cicha; Mariia Rizun; Paulina Rutecka – Education and Information Technologies, 2024
Since OpenAI released ChatGPT, the discussion on its usage in education has been conducted by students and teachers of every education level. Also, many studies have been performed on the tool's possibilities and the threats related to its usage, such as incomplete or inaccurate information obtained or even plagiarism. Many universities worldwide…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Faculty, Teacher Attitudes
Helmiatin; Anto Hidayat; Muhammad Ridwan Kahar – Cogent Education, 2024
Artificial Intelligence (AI) influences many activities and aspects of daily life including the higher education environment. AI in education has become vital for educators and researchers. There is a rising debate regarding the positive advantages and how higher education institutions adapt to changes in the learning perspectives of students.…
Descriptors: Foreign Countries, State Universities, Artificial Intelligence, Technology Uses in Education
Download full textAmal Alrayes; Tara Fryad Henari; Dalal Abdulkarim Ahmed – Electronic Journal of e-Learning, 2024
This paper provides a thorough examination of the role of Artificial Intelligence (AI), particularly ChatGPT and other AI language models, in the realm of education. Drawing insights from existing literature and a novel study on educator perspectives, the paper delves into the potential advantages, ethical dilemmas, and factors shaping educators'…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Intention
Vic Benuyenah; Senika Dewnarain – International Journal of Distance Education Technologies, 2024
This initial qualitative study used in-depth interview data from students to examine their perceptions of ChatGPT and intentions regarding using artificial intelligence (AI) in higher education. The students were sampled across business programmes at both the undergraduate and postgraduate levels at an International University in the UAE. As of…
Descriptors: Student Attitudes, Intention, Artificial Intelligence, Technology Uses in Education
Akgül, Yakup; Uymaz, Ali Osman – Education and Information Technologies, 2022
The paper's main aim is to investigate and predict major factors in students' behavioral intentions toward academic use of Facebook/Meta as a virtual classroom, taking into account its adoption level, purpose, and education usage. In contrast to earlier social network research, this one utilized a novel technique that comprised a two-phase…
Descriptors: Social Media, Virtual Classrooms, Higher Education, Technology Uses in Education
Wang, Youmei; Liu, Chenchen; Tu, Yun-Fang – Educational Technology & Society, 2021
Owing to the rapid advancements in artificial intelligence (AI) technologies, there has been increasing concern about how to promote the use of AI technologies in school settings to enhance students' learning performance. Teachers' intention to adopt AI tools in their classes plays a crucial role in this regard. Therefore, it is important to…
Descriptors: Artificial Intelligence, Computer Uses in Education, Adoption (Ideas), Teacher Attitudes
K. Keerthi Jain; J. N. V. Raghuram – Education and Information Technologies, 2024
This research delves into the multifaceted landscape of various factors that influence the adoption of Generation-Artificial Intelligence (Gen-AI) in Higher Education. By employing a comprehensive framework that includes perceived risk, perceived ease of use, usefulness, Technological Pedagogical Content Knowledge (TPACK), and trust, the study…
Descriptors: Prediction, Artificial Intelligence, Technological Literacy, Pedagogical Content Knowledge
Pozón-López, I.; Kalinic, Zoran; Higueras-Castillo, Elena; Liébana-Cabanillas, Francisco – Interactive Learning Environments, 2020
The purpose of this study is to classify the predictors of satisfaction and intention to use in Massive Open Online Courses (MOOC). Informed by a scientific literature review, this work poses a behavioral model to explain intention to use via various constructs. To this end, the authors have carried out a study through an online survey of Spanish…
Descriptors: Online Courses, Large Group Instruction, Predictor Variables, Student Satisfaction
Yakubu, Mohammed Nasiru; Dasuki, Salihu Ibrahim; Abubakar, A. Mohammed; Kah, Muhammadou M. O. – Education and Information Technologies, 2020
Research has shown that technology, when used prudently, has the potential to improve instruction and learning both in and out of the classroom. Only a handful of African tertiary institutions have fully deployed learning management systems (LMS) and the literature is devoid of research examining the factors that foster the adoption of LMS. To…
Descriptors: Management Systems, Instructional Improvement, Student Surveys, Intention
Baptista Nunes, Miguel, Ed.; McPherson, Maggie, Ed. – International Association for Development of the Information Society, 2014
These proceedings contain the papers of the International Conference e-Learning 2014, which was organised by the International Association for Development of the Information Society and is part of the Multi Conference on Computer Science and Information Systems (Lisbon, Portugal July 15-19, 2014). The e-Learning 2014 conference aims to address the…
Descriptors: Conference Papers, Electronic Learning, Educational Technology, Technology Uses in Education
