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Cathryn Allen; Bryson R. Payne; Tamirat Abegaz; Chuck Robertson – Journal of Cybersecurity Education, Research and Practice, 2024
Research indicates that deceitful videos tend to spread rapidly online and influence people's opinions and ideas. Because of this, video misinformation via deepfake video manipulation poses a significant online threat. This study aims to discover what factors can influence viewers' capability to distinguish deepfake videos from genuine video…
Descriptors: Deception, Information Security, Video Technology, Computer Security
Abdessamad Chanaa; Nour-eddine El Faddouli – Journal of Education and Learning (EduLearn), 2024
Adaptive online learning can be realized through the evaluation of the learning process. Monitoring and supervising learners' cognitive levels and adjusting learning strategies can increasingly improve the quality of online learning. This analysis is made possible by real-time measurement of learners' cognitive levels during the online learning…
Descriptors: Electronic Learning, Evaluation Methods, Artificial Intelligence, Taxonomy
Zhengze Li; Hui Chen; Xin Gao – Education and Information Technologies, 2024
Online supplementary education has been prevalent in recent years due to the advent of technology (e.g., live streaming) and the COVID-19 pandemic. However, the performance of students in this mode of education varies greatly, and the underlying reasons are yet to be investigated. This study aims to understand the impact of various factors and…
Descriptors: Predictor Variables, Elementary School Students, Electronic Learning, Supplementary Education
Jobin Jose; Alice Joselph; Pratheesh Abraham; Roshna Varghese; Beenamole T.; Sony Mary Varghese; Suby Elizabeth Oommen – Online Submission, 2024
As a major shift in education technologies, Adaptive Learning Systems (ALS) use artificial intelligence and similar technologies, adapting the lessons to the needs of individual students. Emphasizing transformative pedagogy and teaching strategies that transform the learners' cognitive and interactive patterns, this study presents a comprehensive…
Descriptors: Transformative Learning, Bibliometrics, Trend Analysis, Artificial Intelligence
Jennifer Campbell; Katie Ansell; Tim Stelzer – Physical Review Physics Education Research, 2024
Recent advances in publicly available natural language processors (NLP) may enhance the efficiency of analyzing student short-answer responses in physics education research (PER). We train a state-of-the-art NLP, IBM's Watson, and test its agreement with human coders using two different studies that gathered text responses in which students…
Descriptors: Artificial Intelligence, Physics, Natural Language Processing, Computer Uses in Education
Jonathan Kasler; Ofra Walter; Maurice J. Elias – Journal of American College Health, 2024
Objectives: The present research had two main objectives. The first was to examine the impact of emotional intelligence and aspects of spiritual intelligence on life satisfaction among emerging adults in high-income countries. The second objective was to study the interactions between the variables. Methods: First, we used predictive analysis to…
Descriptors: Life Satisfaction, Young Adults, Spiritual Development, Emotional Intelligence
Jian Liao; Linrong Zhong; Longting Zhe; Handan Xu; Ming Liu; Tao Xie – IEEE Transactions on Learning Technologies, 2024
ChatGPT has received considerable attention in education, particularly in programming education because of its capabilities in automated code generation and program repairing and scoring. However, few empirical studies have investigated the use of ChatGPT to customize a learning system for scaffolding students' computational thinking. Therefore,…
Descriptors: Scaffolding (Teaching Technique), Thinking Skills, Computation, Artificial Intelligence
Song Yang; Ying Dong; Zhong Gen Yu – International Journal of Information and Communication Technology Education, 2024
AI chatbots, e.g. ChatGPT, are becoming increasingly popular in education as a means to enhance student learning experiences and improve teaching efficiency. This study utilizes NVivo 12 Plus to examine the role of AI chatbots in education, ethical considerations, and sentimental analysis regarding the utilization of ChatGPT in education. ChatGPT…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Ethics
Debbie Rohwer – Update: Applications of Research in Music Education, 2024
In this research-to-resource article, I introduce possible uses of ChatGPT, an artificial intelligence chatbot developed by OpenAI, for music education research settings. I discuss the impacts of artificial intelligence on education environments and highlight uses of ChatGPT as a tool, including the role of ChatGPT in information gathering,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Music Education
Jin Wei-Kocsis; Moein Sabounchi; Gihan J. Mendis; Praveen Fernando; Baijian Yang; Tonglin Zhang – IEEE Transactions on Education, 2024
Contribution: A novel proactive and collaborative learning paradigm was proposed to engage learners with different backgrounds and enable effective retention and transfer of the multidisciplinary artificial intelligence (AI)-cybersecurity knowledge. Specifically, the proposed learning paradigm contains: 1) an immersive learning environment to…
Descriptors: Computer Security, Artificial Intelligence, Interdisciplinary Approach, Models
Eva Viviani; Michael Ramscar; Elizabeth Wonnacott – Cognitive Science, 2024
Ramscar, Yarlett, Dye, Denny, and Thorpe (2010) showed how, consistent with the predictions of error-driven learning models, the order in which stimuli are presented in training can affect category learning. Specifically, learners exposed to artificial language input where objects preceded their labels learned the discriminating features of…
Descriptors: Symbolic Learning, Learning Processes, Artificial Intelligence, Prediction
Belete Hiluf; Marew Alemu – Asian-Pacific Journal of Second and Foreign Language Education, 2024
In recent years, there has been increasing interest in the role of emotional and motivational intelligence in educational settings. Studies have shown that these factors can significantly impact students' academic performance. However, little attention has been given to the influence of emotional and motivational intelligence on writing…
Descriptors: Factor Analysis, Scoring Rubrics, Writing Evaluation, Correlation
Peng Zhang; Gemma Tur – European Journal of Education, 2024
This systematic review, adhering to the PRISMA framework, investigated the utilisation of ChatGPT, a language model developed by OpenAI, throughout Kindergarten to 12th grade (K-12) educational settings. The review synthesises findings from 13 selected papers, encompassing the strengths, weaknesses, opportunities, and threats (SWOT) analysis of…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Kindergarten
Peter Bannister; Elena Alcalde Peñalver; Alexandra Santamaría Urbieta – Journal of International Students, 2024
This study delves into the GenAI academic integrity policies within tertiary education, with a special focus on international students. Through qualitative analysis of 131 policies from 11 countries, it aims to highlight the overlooked needs of these students amidst the rise of GenAI technologies. The methodology involves a document review and…
Descriptors: Foreign Students, Artificial Intelligence, Technology Uses in Education, Cross Cultural Studies
Lisa M. Bowers; Samantha Robinson; Madilyn Metcalf – Communication Disorders Quarterly, 2024
Income-based childcare programs provide children access to developmentally appropriate and vocabulary-rich literacy experiences. For this study, participating U.S. Head Start Centers requested families complete a weekly home literacy log to encourage vocabulary-rich shared book reading activities in the home. Using participant characteristics,…
Descriptors: Federal Programs, Low Income Students, Social Services, Preschool Children

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