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Tao Huang; Jing Geng; Yuxia Chen; Han Wang; Huali Yang; Shengze Hu – Education and Information Technologies, 2024
Digital technology is profoundly transforming various aspects of life, thus highlighting the need to enhance digital literacy on a national scale. In primary and secondary schools, artificial intelligence (AI) education plays a pivotal role in fostering digital literacy. To comprehensively investigate the variables influencing AI education in…
Descriptors: Artificial Intelligence, Elementary Schools, Secondary Schools, Prediction
Isabel Pedersen – OTESSA Journal, 2024
The rapid integration of generative artificial intelligence (AI) into postsecondary education and many other sectors resulted in a global reckoning with this new technology. This paper contributes to the study of the multifaceted influence of generative AI, with a particular focus on OpenAI's ChatGPT within academic settings during the first six…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Educational Change
Tiffany Hunt; Margaret Hudson – PDS Partners: Bridging Research to Practice, 2024
Purpose: This grant-funded research utilized conversational agents (CAs), specifically Alexa Flash Briefings, to deliver supplemental audio content across educational settings, expanding the online learning environment of graduate students, residency teachers and mentors. The study aimed to determine the perceived usability of Flash Briefings and…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Graduate Students, Student Teachers
Jieun Ahn; Jongbong Lee; Myeongeun Son – ELT Journal, 2024
In this series, we explore technology-related themes and topics. The series aims to discuss and demystify what may be new areas for some readers and to consider their relevance for English language teachers. This paper explores the potential applicability of ChatGPT--a generative, text-based artificial intelligence (AI) chatbot--to ELT. It offers…
Descriptors: Technology Uses in Education, Language Teachers, Artificial Intelligence, Computer Software
Narjes Rohani; Behnam Rohani; Areti Manataki – Journal of Educational Data Mining, 2024
The prediction of student performance and the analysis of students' learning behaviour play an important role in enhancing online courses. By analysing a massive amount of clickstream data that captures student behaviour, educators can gain valuable insights into the factors that influence students' academic outcomes and identify areas of…
Descriptors: Mathematics Education, Models, Prediction, Knowledge Level
Cihan Orak; Zeynep Turan – Journal of Educational Technology and Online Learning, 2024
Advancements in artificial intelligence (AI) have tailored computer systems to meet user needs, thereby enhancing user experience. The application of AI technology in the production of digital videos, particularly in education, is becoming increasingly prevalent. This study aims to explore trends in the use of AI technology for digital video…
Descriptors: Artificial Intelligence, Video Technology, Literature Reviews, Trend Analysis
Meriem Zerkouk; Miloud Mihoubi; Belkacem Chikhaoui; Shengrui Wang – Education and Information Technologies, 2024
School dropout is a significant issue in distance learning, and early detection is crucial for addressing the problem. Our study aims to create a binary classification model that anticipates students' activity levels based on their current achievements and engagement on a Canadian Distance learning Platform. Predicting student dropout, a common…
Descriptors: Artificial Intelligence, Dropouts, Prediction, Distance Education
Weixu Lu – Communication Teacher, 2024
This article explores the application of generative artificial intelligence (AI), such as ChatGPT, in the development of customized textual materials for communication teaching. It underscores the potential of generative AI to address the scarcity of suitable learning materials and enhance teaching effectiveness. A case study of text generation…
Descriptors: Artificial Intelligence, Material Development, Communication (Thought Transfer), Natural Language Processing
ETS Research Institute, 2024
ETS experts are exploring and defining the standards for responsible AI use in assessments. A comprehensive framework and principles will be unveiled in the coming months. In the meantime, this document outlines the critical areas these standards will encompass, including the principles of: (1) Fairness and bias mitigation; (2) Privacy and…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Educational Testing, Ethics
Andrea Lodge – ProQuest LLC, 2024
Education is becoming more integrated with technology use. As Ammanath (2023) described, the older generation of educators need to move past their fears of technological advances to find the potential to better prepare younger generations for an artificially intelligent world. This dissertation addresses how teachers perceive the use of artificial…
Descriptors: Teacher Attitudes, Artificial Intelligence, Inclusion, Technology Uses in Education
Mohammadhiwa Abdekhoda; Afsaneh Dehnad – Interactive Technology and Smart Education, 2024
Purpose: Artificial intelligence (AI) is a growing paradigm and has made considerable changes in many fields of study, including medical education. However, more investigations are needed to successfully adopt AI in medical education. The purpose of this study was identify the determinant factors in adopting AI-driven technology in medical…
Descriptors: Artificial Intelligence, Medical Education, Technology Uses in Education, Foreign Countries
Sophia Soomin Lee; Robert L. Moore – Online Learning, 2024
In this systematic review, we synthesize ten empirical peer-reviewed articles published between 2019 and 2023 that used generative artificial intelligence (GenAI) for automated feedback in higher education. There are significant opportunities and challenges to integrate these tools effectively into learning environments as the demand for timely…
Descriptors: Artificial Intelligence, Higher Education, Feedback (Response), Grading
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
Lars König; Steffen Zitzmann; Tim Fütterer; Diego G. Campos; Ronny Scherer; Martin Hecht – Research Synthesis Methods, 2024
Several AI-aided screening tools have emerged to tackle the ever-expanding body of literature. These tools employ active learning, where algorithms sort abstracts based on human feedback. However, researchers using these tools face a crucial dilemma: When should they stop screening without knowing the proportion of relevant studies? Although…
Descriptors: Artificial Intelligence, Psychological Studies, Researchers, Screening Tests
Wudhijaya Philuek – Asian Journal of Education and Training, 2024
The objectives of this research were 1) to study the problems of stress and depression among Grade 12 students; 2) to investigate the machine learning technique in analyzing and predicting stress, depression, and academic performance among Grade 12 students; and 3) to evaluate the stress and depression prediction platform. Students from schools in…
Descriptors: Artificial Intelligence, Stress Variables, Depression (Psychology), Academic Achievement

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