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Zara Ersozlu; Sona Taheri; Inge Koch – Education and Information Technologies, 2024
Integrating machine learning (ML) methods in educational research has the potential to greatly impact upon research, teaching, learning and assessment by enabling personalised learning, adaptive assessment and providing insights into student performance, progress and learning patterns. To reveal more about this notion, we investigated ML…
Descriptors: Artificial Intelligence, Educational Research, Data Analysis, Methods
Leslie Valiant – Princeton University Press, 2024
We are at a crossroads in history. If we hope to share our planet successfully with one another and the AI systems we are creating, we must reflect on who we are, how we got here, and where we are heading. "The Importance of Being Educable" puts forward a provocative new exploration of the extraordinary facility of humans to absorb and…
Descriptors: Education, Cognitive Processes, Brain, Information Literacy
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Ezekiel Dixon-Román – Journal of Educational and Behavioral Statistics, 2024
If psychometrics has long concerned itself with validity, reliability, and fairness, then what could psychometrics learn from the cybernetic theories of AI? Through engagement with Burstein's (2023) Responsible AI Standards, this paper unpacks some paradigmatic differences between psychometrics and cybernetics, points to how recursivity and…
Descriptors: Artificial Intelligence, Psychometrics, Theories, Standards
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Tomáš Lintner – npj Science of Learning, 2024
With the opportunities and challenges stemming from the artificial intelligence developments and its integration into society, AI literacy becomes a key concern. Utilizing quality AI literacy instruments is crucial for understanding and promoting AI literacy development. This systematic review assessed the quality of AI literacy scales using the…
Descriptors: Literature Reviews, Artificial Intelligence, Literacy, Measures (Individuals)
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Khalifa Sylla; Mama Amar; Samuel Ouya – International Association for Development of the Information Society, 2024
The use of artificial intelligence (AI) has revolutionized the organization and management of data in particular educational content on digital university platforms. The combination of AI and metadata can facilitate the management and access to educational resources and allow personalized learning experiences tailored to learners' needs. Based on…
Descriptors: Artificial Intelligence, Metadata, Educational Resources, Educational Media
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Jinshui Wang; Shuguang Chen; Zhengyi Tang; Pengchen Lin; Yupeng Wang – Education and Information Technologies, 2025
Mastering SQL programming skills is fundamental in computer science education, and Online Judging Systems (OJS) play a critical role in automatically assessing SQL codes, improving the accuracy and efficiency of evaluations. However, these systems are vulnerable to manipulation by students who can submit "cheating codes" that pass the…
Descriptors: Programming, Computer Science Education, Cheating, Computer Assisted Testing
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Anduamlak Abebe Fenta – Discover Education, 2025
Generative AI systems, such as ChatGPT and Bard, can significantly enhance education by providing personalized learning experiences. They can tailor content, quizzes, and explanations to individual students; act as virtual tutors, and offer instant feedback. However, privacy concerns have arisen because of the need for personal data. Ensuring…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Synchronous Communication
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Nicholas R. Werse; Joshua Caleb Smith – Impacting Education: Journal on Transforming Professional Practice, 2025
In this article, the authors explore the concerns surrounding academic dishonesty related to generative artificial intelligence (GAI). The authors argue that while there are valid worries about students using GAI in ways the displace student work, these anxieties are not new and have been observed with previous disruptive technologies such as the…
Descriptors: Cheating, Artificial Intelligence, Anxiety, Teacher Role
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Zeynep Gül Dertli; Bahadir Yildiz – Anatolian Journal of Education, 2025
Mathematical modelling and modelling activities are important for making sense of mathematical concepts in different extracurricular and daily life contexts. However, teachers may have difficulties in designing these activities in a way to establish meaningful relationships with real life, in accordance with the modeling process and the objectives…
Descriptors: Prompting, Engineering, Mathematical Models, Mathematics Activities
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Zhou, Todd; Jiao, Hong – Educational and Psychological Measurement, 2023
Cheating detection in large-scale assessment received considerable attention in the extant literature. However, none of the previous studies in this line of research investigated the stacking ensemble machine learning algorithm for cheating detection. Furthermore, no study addressed the issue of class imbalance using resampling. This study…
Descriptors: Cheating, Measurement, Artificial Intelligence, Algorithms
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Yi Zheng; Steven Nydick; Sijia Huang; Susu Zhang – Educational Measurement: Issues and Practice, 2024
The recent surge of machine learning (ML) has impacted many disciplines, including educational and psychological measurement (hereafter shortened as "measurement"). The measurement literature has seen rapid growth in applications of ML to solve measurement problems. However, as we emphasize in this article, it is imperative to critically…
Descriptors: Artificial Intelligence, Measurement, Measurement Equipment, Psychological Evaluation
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Lisa Ruth Brunner; Wei William Tao – Journal of International Students, 2024
Artificial intelligence (AI) and automation are newly impacting the governance of international students, a temporary resident category significant for both direct economic contributions and the formation of a "pool" of potential future immigrants in many immigrant-dependent countries. This paper focuses on tensions within Canada's…
Descriptors: Artificial Intelligence, Automation, Migration, Foreign Students
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Nicholas Smith; Darby Vickers – Theory and Research in Education, 2024
Artificial intelligence technologies have become a ubiquitous part of human life. This prompts us to ask, "how should we live well with artificial intelligence?" Currently, the most prominent candidate answers to this question are principlist. According to these approaches, if you teach people some finite set of principles or convince…
Descriptors: Artificial Intelligence, Moral Values, Ethics, Philosophy
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Erhan Elmaoglu; Adnan Batuhan Coskun; Selda Yüzer Alsaç – American Journal of Health Education, 2024
Recent years have seen growing interest in the potential contributions of Artificial Intelligence (AI)-based technologies to children's health education. Specifically, ChatGPT, a language processing model developed by OpenAI, represents a significant advancement in this field. By presenting child health-related information in an understandable and…
Descriptors: Artificial Intelligence, Health Education, Educational Technology, Barriers
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Zhenchang Xia; Nan Dong; Jia Wu; Chuanguo Ma – IEEE Transactions on Learning Technologies, 2024
As an excellent means of improving students' effective learning, knowledge tracking can assess the level of knowledge mastery and discover latent learning patterns based on students' historical learning evaluation of related questions. The advantage of knowledge tracking is that it can better organize and adjust students' learning plans, provide…
Descriptors: Graphs, Artificial Intelligence, Multivariate Analysis, Prediction
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