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Xavier Ochoa; Xiaomeng Huang; Yuli Shao – Journal of Learning Analytics, 2025
Generative AI (GenAI) has the potential to revolutionize the analysis of educational data, significantly impacting learning analytics (LA). This study explores the capability of non-experts, including administrators, instructors, and students, to effectively use GenAI for descriptive LA tasks without requiring specialized knowledge in data…
Descriptors: Learning Analytics, Artificial Intelligence, Computer Software, Scores
Hon Keung Yau; Ka Fai Tung – Turkish Online Journal of Educational Technology - TOJET, 2025
This study explores the development and evaluation of a chatbot model designed to facilitate learning within a department of a university. The project aims to enhance the learning experience by incorporating customized data into the chatbot's knowledge base, enabling personalized and context-aware interactions. The research investigates the…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Computer Software, Technology Integration
Hayriye Nevin Genc; Nuriye Kocak – Journal of Education in Science, Environment and Health, 2025
While the use of artificial intelligence in education is a prominent area of research, it has also become a collaborative application for educational institutions. These institutions are working to develop AI-based systems to enhance existing educational frameworks. Accordingly, this study conducts a bibliometric analysis of research on artificial…
Descriptors: Bibliometrics, Health Education, Artificial Intelligence, Research Reports
Florence Gabriel; JohnPaul Kennedy; Rebecca Marrone; Simon Leonard – npj Science of Learning, 2025
Pragmatic, scalable and sustainable responses to persistent socio-emotional issues such as mathematics anxiety remain elusive. Artificial intelligence (AI) offers a promising approach by enhancing students' perceptions of competence, control, and value while transforming teacher-student interactions. This paper advocates for a research agenda…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
Yifang Wang – Early Childhood Education Journal, 2025
The impact of population policy changes on the demand for educational resources has long been a central focus of scholarly inquiry. With the recent implementation of China's three-child policy, there arises the potential for shifts in preschool enrollment patterns, thereby influencing the demand for preschool educational resources. This study…
Descriptors: Prediction, Preschool Education, Educational Demand, Foreign Countries
Ali Alsaawi; Mohammad Almoaily; Fahad Almulhim; Nesreen Alahmadi; Hamza Alshenqeeti – International Journal of Computer-Assisted Language Learning and Teaching, 2025
Artificial intelligence (AI) is one of the fastest growing technologies today. Its extraordinary scope and capabilities have led people of all ages and abilities to employ it in many of their activities. Language learning is a lifetime experience that could benefit from the use of AI and thus it is worth exploring people's awareness of this…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Bryan R. Drost; Char Shryock – Phi Delta Kappan, 2025
Creating assessment questions aligned to standards is a time-consuming task for teachers, but large language models such as ChatGPT can help. Bryan Drost & Char Shryock describe a three-step process for using ChatGPT to create assessments: 1) Ask ChatGPT to break standards into measurable targets. 2) Determine how much time to spend on each…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
Novak, Matija; Joy, Mike; Kermek, Dragutin – ACM Transactions on Computing Education, 2019
Teachers deal with plagiarism on a regular basis, so they try to prevent and detect plagiarism, a task that is complicated by the large size of some classes. Students who cheat often try to hide their plagiarism (obfuscate), and many different similarity detection engines (often called plagiarism detection tools) have been built to help teachers.…
Descriptors: Plagiarism, Computer Software, Computer Software Evaluation, College Students
Sevilmis, Ali; Yildiz, Özer – International Journal of Progressive Education, 2021
Reliability that can be proved by numeric indicators in quantitative studies has become a very discussible issue. The reason for this is to be thought that in qualitative researches, reliability is not based on positive perspective and those forming reliability criteria is difficult. However, for testing the reliability of a qualitative study or…
Descriptors: Interrater Reliability, Qualitative Research, Educational Research, Physical Education
Oleson, Alannah; Wortzman, Brett; Ko, Amy J. – ACM Transactions on Computing Education, 2021
Design is a distinct discipline with its own practices, tools, professions, and areas of scholarship. However, practitioners from other fields often leverage aspects of design in their own work, leading to subfields like engineering design and architecture design that are neither wholly design nor wholly the intersecting discipline. Similarly,…
Descriptors: Elementary Secondary Education, Computer Science Education, Design, Role
Sauerheber, Richard; Muñoz, Brandon; McCallum, Kalvin – International Journal of Mathematical Education in Science and Technology, 2021
Graphical analysis of the relationships between pairs of integrals and their corresponding derivatives resulted in the development of a procedure one may describe as 'pictorial integration'. The arctangent of the derivative of various functions was analysed to confirm that this accurately reports the magnitude of angles made by integral functions…
Descriptors: Calculus, Mathematics Instruction, Pictorial Stimuli, Graphs
Berg, Arthur – Teaching Statistics: An International Journal for Teachers, 2021
The topic of Bayesian updating is explored using standard and non-standard dice as an intuitive and motivating model. Details of calculating posterior probabilities for a discrete distribution are provided, offering a different view to P-values. This article also includes the stars and bars counting technique, a powerful method of counting that is…
Descriptors: Bayesian Statistics, Teaching Methods, Statistics Education, Intuition
Tomek, Sara; Robinson, Cecil – Measurement: Interdisciplinary Research and Perspectives, 2021
Typical longitudinal growth models assume constant functional growth over time. However, there are often conditions where trajectories may not be constant over time. For example, trajectories of psychological behaviors may vary based on a participant's age, or conversely, participants may experience an intervention that causes trajectories to…
Descriptors: Growth Models, Statistical Analysis, Hierarchical Linear Modeling, Computation
Zhang, Haoran; Litman, Diane – Grantee Submission, 2021
Human essay grading is a laborious task that can consume much time and effort. Automated Essay Scoring (AES) has thus been proposed as a fast and effective solution to the problem of grading student writing at scale. However, because AES typically uses supervised machine learning, a human-graded essay corpus is still required to train the AES…
Descriptors: Essays, Grading, Writing Evaluation, Computational Linguistics
Leipzig, Jeremy – ProQuest LLC, 2021
Purpose: The purpose of this dissertation is to investigate the feasibility of using tests of robustness in peer review. This study involved selecting three high-impact papers which featured open data and utilized bioinformatic analyses but provided no source code and refactoring these to allow external survey participants to swap tools,…
Descriptors: Robustness (Statistics), Peer Evaluation, Data Analysis, Computer Software