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Abdessamad Chanaa; Nour-eddine El Faddouli – Smart Learning Environments, 2024
The recommendation is an active area of scientific research; it is also a challenging and fundamental problem in online education. However, classical recommender systems usually suffer from item cold-start issues. Besides, unlike other fields like e-commerce or entertainment, e-learning recommendations must ensure that learners have the adequate…
Descriptors: Artificial Intelligence, Prerequisites, Metadata, Electronic Learning
Sangbaek Park – ProQuest LLC, 2024
This dissertation used synthetic datasets, semi-synthetic datasets, and a real-world dataset from an educational intervention to compare the performance of 15 machine learning and multiple imputation methods to estimate the individual treatment effect (ITE). In addition, it examined the performance of five evaluation metrics that can be used to…
Descriptors: Artificial Intelligence, Computation, Evaluation Methods, Bayesian Statistics
Anabela Brandão; Luís Pedro; Nelson Zagalo – Digital Education Review, 2024
Artificial Intelligence (AI) has been part of every citizen's life for several years. Still, the emergence of generative AI (GenAI), accessible to all, has raised discussions about the ethical issues they raise, particularly in education. GenAI tools generate content according to user requests, but are students using these tools ethically and…
Descriptors: Artificial Intelligence, Literature Reviews, Faculty Development, Digital Literacy
Steven Weiner; Robin Lake; Jessica Rosner – Center on Reinventing Public Education, 2024
Artificial intelligence (AI) has transformed the education landscape, but are teacher preparation programs keeping pace? In this report, the Center on Reinventing Public Education (CRPE) reached out to over 500 U.S. education school leaders to understand how they currently integrate AI into their teacher training programs, how their faculty and…
Descriptors: Teacher Education, Artificial Intelligence, Technology Integration, Curriculum Development
Mohammad Hosseini; David B. Resnik – Research Ethics, 2025
Journals and publishers are increasingly using artificial intelligence (AI) to screen submissions for potential misconduct, including plagiarism and data or image manipulation. While using AI can enhance the integrity of published manuscripts, it can also increase the risk of false/unsubstantiated allegations. Ambiguities related to journals' and…
Descriptors: Artificial Intelligence, Plagiarism, Writing for Publication, Periodicals
Bahar Radmehr; Tanja Kaser; Adish Singla – Journal of Educational Data Mining, 2025
There has been a growing interest in developing simulated learners to enhance learning and teaching experiences in educational environments. However, existing works have primarily focused on structured environments relying on meticulously crafted representations of tasks, thereby limiting the learner's ability to generalize skills across tasks. In…
Descriptors: Generalization, Reinforcement, Computer Simulation, Artificial Intelligence
Meng, Huijuan; Ma, Ye – Educational Measurement: Issues and Practice, 2023
In recent years, machine learning (ML) techniques have received more attention in detecting aberrant test-taking behaviors due to advantages when compared to traditional data forensics methods. However, defining "True Test Cheaters" is challenging--different than other fraud detection tasks such as flagging forged bank checks or credit…
Descriptors: Artificial Intelligence, Cheating, Testing, Information Technology
Hsu, Yu-Chang; Ching, Yu-Hui – TechTrends: Linking Research and Practice to Improve Learning, 2023
Generative artificial intelligence (GenAI), such as ChatGPT, has taken the world by storm. ChatGPT attracted 1 million users in 5 days and 100 million users in 2 months since its launch in November 2022. In this first article of a two-part series, we discuss the overall dynamic frontier of GenAI, its potential uses and benefits in education,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Benefits
Birks, Daniel; Clare, Joseph – International Journal for Educational Integrity, 2023
This paper connects the problem of artificial intelligence (AI)-facilitated academic misconduct with crime-prevention based recommendations about the prevention of academic misconduct in more traditional forms. Given that academic misconduct is not a new phenomenon, there are lessons to learn from established information relating to misconduct…
Descriptors: Artificial Intelligence, Cheating, Student Behavior, Prevention
Florent Vinchon; Todd Lubart; Sabrina Bartolotta; Valentin Gironnay; Marion Botella; Samira Bourgeois-Bougrine; Jean-Marie Burkhardt; Nathalie Bonnardel; Giovanni Emanuele Corazza; Vlad Glaveanu; Michael Hanchett Hanson; Zorana Ivcevic; Maciej Karwowski; James C. Kaufman; Takeshi Okada; Roni Reiter-Palmon; Andrea Gaggioli – Journal of Creative Behavior, 2023
With the advent of artificial intelligence (AI), the field of creativity faces new opportunities and challenges. This manifesto explores several scenarios of human--machine collaboration on creative tasks and proposes "fundamental laws of generative AI" to reinforce the responsible and ethical use of AI in the creativity field. Four…
Descriptors: Artificial Intelligence, Creativity, Man Machine Systems, Ethics
Tianjiao Wang; Xiaona Xia – SAGE Open, 2023
The study of learning behaviors with multi features is of great significance for interactive cooperation. The data prediction and decision are to realize the comprehensive analysis and value mining. In this study, hierarchical learning behavior based on feature cluster is proposed. Based on the massive data in interactive learning environment, the…
Descriptors: Cluster Grouping, Mathematical Models, Artificial Intelligence, Learning Analytics
Lehong Shi – ProQuest LLC, 2023
Artificial intelligence (AI), utilizing machine learning techniques to 'learn' from data, as humans learn from experiences, has the promise to perform various cognitive tasks, such as learning, thinking, problem-solving, and decision-making, which usually demands human cognition. In recent decades, the remarkable advancements in AI have led to its…
Descriptors: Artificial Intelligence, Educational Technology, Teaching Methods, Teacher Role
Pierrette Renee Dagg – ProQuest LLC, 2023
Software powered by artificial intelligence (AI) is used widely in the United States in education as a tool for teaching, administration, student assessment, and other purposes. Curriculum delivery, tutoring, support for students with disabilities and resource allocations are some of the applications of the technology. The normative, ideological,…
Descriptors: Artificial Intelligence, Ethics, Philosophy, Technology Uses in Education
Hani Y. Ayyoub; Omar S. Al-Kadi – IEEE Transactions on Learning Technologies, 2024
Education is a dynamic field that must be adaptable to sudden changes and disruptions caused by events like pandemics, war, and natural disasters related to climate change. When these events occur, traditional classrooms with traditional or blended delivery can shift to fully online learning, which requires an efficient learning environment that…
Descriptors: Cognitive Style, Individualized Instruction, Learning Management Systems, Artificial Intelligence
Shemona Y. Rozario; Mahbub Sarkar; Melanie K. Farlie; Michelle D. Lazarus – Anatomical Sciences Education, 2024
Anatomical pathology (AP) is an anatomy-centric medical specialty devoted to tissue-based diagnosis of disease. The field faces a current and predicted workforce shortage, likely increasing diagnostic wait times and delaying patient access to urgent treatment. A lack of AP exposure is proposed to preclude recruitment to the field, as medical…
Descriptors: Anatomy, Pathology, Artificial Intelligence, Professional Identity