Publication Date
In 2025 | 1 |
Since 2024 | 15 |
Since 2021 (last 5 years) | 18 |
Since 2016 (last 10 years) | 19 |
Since 2006 (last 20 years) | 19 |
Descriptor
Artificial Intelligence | 19 |
Computer Software | 19 |
Risk | 19 |
Technology Uses in Education | 8 |
Ethics | 7 |
Teaching Methods | 7 |
Foreign Countries | 6 |
Barriers | 4 |
College Faculty | 4 |
College Students | 4 |
Higher Education | 4 |
More ▼ |
Source
Author
Andrew Swindell | 1 |
Anto Hidayat | 1 |
Antony Farag | 1 |
Anurag Jain | 1 |
Avinash Rana | 1 |
Bailey Verdone | 1 |
Chang Xu | 1 |
Christine Ladwig | 1 |
Ciao-Chun Jhang | 1 |
Dana Schwieger | 1 |
Deeksha Sharma | 1 |
More ▼ |
Publication Type
Journal Articles | 13 |
Reports - Research | 10 |
Reports - Evaluative | 4 |
Speeches/Meeting Papers | 4 |
Reports - Descriptive | 3 |
Dissertations/Theses -… | 2 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 9 |
Postsecondary Education | 9 |
Secondary Education | 1 |
Audience
Location
India | 2 |
Indonesia | 1 |
Jordan | 1 |
Nepal | 1 |
South Korea | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Flesch Kincaid Grade Level… | 1 |
What Works Clearinghouse Rating
Leen Adel Gammoh – Education and Information Technologies, 2025
This qualitative study examines the risks educators in Jordan face with the integration of ChatGPT, an emerging AI technology, into academic settings. While considerable attention has been given to risks affecting university students, there remains a gap in understanding the specific challenges encountered by educators themselves. Through…
Descriptors: Foreign Countries, Artificial Intelligence, Educational Technology, Technology Integration
Yuan Tian; Xi Yang; Suhail A. Doi; Luis Furuya-Kanamori; Lifeng Lin; Joey S. W. Kwong; Chang Xu – Research Synthesis Methods, 2024
RobotReviewer is a tool for automatically assessing the risk of bias in randomized controlled trials, but there is limited evidence of its reliability. We evaluated the agreement between RobotReviewer and humans regarding the risk of bias assessment based on 1955 randomized controlled trials. The risk of bias in these trials was assessed via two…
Descriptors: Risk, Randomized Controlled Trials, Classification, Robotics
Siraprapa Kotmungkun; Wichuta Chompurach; Piriya Thaksanan – English Language Teaching Educational Journal, 2024
This study explores the writing quality of two AI chatbots, OpenAI ChatGPT and Google Gemini. The research assesses the quality of the generated texts based on five essay models using the T.E.R.A. software, focusing on ease of understanding, readability, and reading levels using the Flesch-Kincaid formula. Thirty essays were generated, 15 from…
Descriptors: Plagiarism, Artificial Intelligence, Computer Software, Essays
Yoonjae Noh; YoonIl Yoon; Sangjin Kim – Measurement: Interdisciplinary Research and Perspectives, 2024
The default risk, one of the main risk factors for bonds, should be measured and reflected in the bond yield. Particularly, in the case of financial companies that treat bonds as a major product, failure to properly identify and filter customers' workout status adversely affects returns. This study proposes a two-stage classification algorithm for…
Descriptors: Prediction, Classification, Accuracy, Risk
Xuandong Zhao – ProQuest LLC, 2024
The rapid advancement of powerful Large Language Models (LLMs), such as ChatGPT and Llama, has revolutionized the world by bringing new creative possibilities and enhancing productivity. However, these advancements also pose significant challenges and risks, including the potential for misuse in the form of fake news, academic dishonesty,…
Descriptors: Computational Linguistics, Intellectual Property, Artificial Intelligence, Productivity
Andrew Swindell; Luke Greeley; Antony Farag; Bailey Verdone – Online Learning, 2024
The arrival of generative artificial intelligence (AI) is fundamentally different from prior technologies used in educational settings. Educators and researchers of online, blended, and in-person learning are still coming to grips with how to employ current AI technologies in the learning experience, let alone understanding the potential…
Descriptors: Artificial Intelligence, Technology Uses in Education, Ethics, Guidelines
Preeti Bhaskar; Pankaj Misra; Gaurav Chopra – International Journal of Information and Learning Technology, 2024
Purpose: The discussion about using Chat Generative Pre-Trained Transformer (ChatGPT) by teachers is making notable progress on a daily basis. This research examines the teachers' adoption intention to adopt ChatGPT by focusing on perceived trust and perceived risk. The study seeks to elucidate the impact of these two factors on teachers' adoption…
Descriptors: Trust (Psychology), Risk, Artificial Intelligence, Synchronous Communication
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
Guan-Yu Lin; Ciao-Chun Jhang; Yi-Shun Wang – Education and Information Technologies, 2024
The use of AI-based social robots has been shown to be beneficial for learning English as a Second Language (ESL). Not much is known, however, about the drivers of parental intention to use those robots in support of their children's ESL learning. This study aims to explore the factors that drive parental intention to adopt AI-based social robots…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Som Nath Ghimire; Upaj Bhattarai; Raj K. Baral – Higher Education Research and Development, 2024
AI-powered ChatGPT has sparked considerable discussion in media, academia, and the scientific community of late. This empirical study reports on how higher education (HE) students in Nepal have utilized, experienced, and perceived this technology. This study, based on a qualitative design, utilized semi-structured interviews with university…
Descriptors: Foreign Countries, Artificial Intelligence, Computer Software, Technology Uses in Education
Christine Ladwig; Dana Schwieger – Information Systems Education Journal, 2024
Hollywood screenwriters worry about Artificial Intelligence (AI) replacements taking over their jobs. Famous museums litigate to protect their art from AI infringement. A major retailer scraps a machine-learning based recruitment program that was biased against women. These are just a few examples of how AI is affecting the world of work,…
Descriptors: Computer Science Education, Curriculum Development, Information Systems, Information Science Education
Glenn M. Kleiman; H. Alix Gallagher – State Education Standard, 2024
There are abundant optimistic and pessimistic views about the potential educational impacts of artificial intelligence (AI) tools. The optimists envision that AI will enable teachers to do more of what only teachers can do for their students: build caring and trusting relationships; understand students' needs, backgrounds, and cultures; guide and…
Descriptors: Educational Policy, Artificial Intelligence, State Policy, Computer Software
Matthew Frazier – ProQuest LLC, 2024
Online educational resources (e.g., curricula, tutorials, documentation, Q&A sites) increasingly serve as key sources for secondary school students learning Computer Science Principles (CSP). A big obstacle to using these resources is finding information appropriate for the learning task and learner's background. Research shows that secondary…
Descriptors: Computer Science Education, Secondary School Students, Student Characteristics, Information Literacy
Fruzsina Szabó; Joanna Szoke – ELT Journal, 2024
In recent years, artificial intelligence (AI) has increasingly made advances across various fields, including ELT. In this article we embrace an egalitarian dialogue framework to explore and understand the role of AI in language education. This format provides a useful backdrop for navigating the dual responses--enthusiasm and scepticism--by which…
Descriptors: Second Language Learning, Second Language Instruction, Artificial Intelligence, Computer Software
XiaoShu Xu; Xibing Wang; Yunfeng Zhang; Wenjuan Ma – International Society for Technology, Education, and Science, 2023
The integration of ChatGPT in Personal Learning Environments (PLEs) has emerged as a promising approach to personalized learning in tertiary education. ChatGPT is believed to have the potential to transform traditional higher education into a more personalized, quality-driven, and student-centered learning experience that fosters critical…
Descriptors: Artificial Intelligence, Computer Software, Risk, Educational Benefits
Previous Page | Next Page »
Pages: 1 | 2