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Mohd Elmagzoub Eltahir; Najeh Rajeh Alsalhi – Contemporary Educational Technology, 2025
As we examine the pandemic's impact on higher education, we can see that many previously traditional teaching and learning frameworks have been invalidated, and the need for new teaching and learning approaches has increased. This indicates that the traditional frameworks for higher education may no longer be effective. Consequently, there is a…
Descriptors: Foreign Countries, Academic Achievement, Flipped Classroom, Higher Education
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Sara Samy Abbas Mohamed El-kholy – Education and Information Technologies, 2025
This article explores the potential of artificial intelligence (AI) for academic advising. Specifically, it examines how AI-powered machine interpretation and data analysis can be used to deliver advising services anytime, anywhere. This system would eliminate the need for students to physically meet with advisors and could answer their…
Descriptors: Artificial Intelligence, Academic Advising, Data Analysis, Delivery Systems
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Robin Clausen – Discover Education, 2025
Early Warning Systems (EWS) are research-based analytics that use statistical models to assess dropout risk. School leaders use this analytic to consolidate data about a student and provide actionable data to craft an intervention. Little is currently known about the processes involved in school implementation or data use. By analyzing Montana EWS…
Descriptors: Dropout Prevention, Data Analysis, Principals, School Counselors
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Wen-shuang Fu; Jia-hua Zhang; Di Zhang; Tian-tian Li; Min Lan; Na-na Liu – Journal of Educational Computing Research, 2025
Cognitive ability is closely associated with the acquisition of programming skills, and enhancing learners' cognitive ability is a crucial factor in improving the efficacy of programming education. Adaptive feedback strategies can provide learners with personalized support based on their learning context, which helps to stimulate their interest…
Descriptors: Feedback (Response), Cognitive Ability, Programming, Computer Science Education
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José Manuel Cordero; Lucía Mateos-Romero – Large-scale Assessments in Education, 2025
Background: In recent years, there has been generalized concern in all countries about increasing the younger population's level of financial literacy. However, there is still little evidence on the key factors explaining financial literacy, as the existing literature is inconclusive about this issue. This paper focuses on exploring whether…
Descriptors: Paying for College, Financial Literacy, Achievement Tests, Foreign Countries
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Ritchie, William J.; Kerski, Joseph; Novoa, Luis J.; Tokman, Mert – Decision Sciences Journal of Innovative Education, 2023
This teaching brief explores how and why location analytics should be taught in business schools using three objectives. First, an explanation is provided for the importance of including location analytics in the standard business school curriculum--especially in the field of supply chain management. Second, a lack of GIS-based location analytics…
Descriptors: Supply and Demand, Information Management, Geographic Information Systems, Data Analysis
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Chen, Xieling; Zou, Di; Cheng, Gary; Xie, Haoran; Jong, Morris – Education and Information Technologies, 2023
Researchers and practitioners are paying increasing attention to blockchain's potential for resolving trust, privacy, and transparency-related issues in smart education. Research on educational blockchain is also becoming an active field of research. Based on 206 studies published from 2017 to 2020, we identify contributors, collaborators,…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Databases
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Babier, Aaron; Fernandes, Craig; Zhu, Ian Yihang – INFORMS Transactions on Education, 2023
In this paper, we describe a course project in which teams of undergraduate students propose and execute an end-to-end analytics project to solve a real-world problem. The project challenges students to implement machine learning, optimization, simulation, or a combination of these three techniques on real-world data that they collect. A…
Descriptors: Undergraduate Students, Student Projects, Data Analysis, Problem Solving
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Brown, Neil C. C.; Weill-Tessier, Pierre; Sekula, Maksymilian; Costache, Alexandra-Lucia; Kölling, Michael – ACM Transactions on Computing Education, 2023
Objectives: Java is a popular programming language for use in computing education, but it is difficult to get a wide picture of the issues that it presents for novices; most studies look only at the types or frequency of errors. In this observational study, we aim to learn how novices use different features of the Java language. Participants:…
Descriptors: Novices, Programming, Programming Languages, Data
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Xia, Xiaona – Interactive Learning Environments, 2023
Interactive learning environments can generate massive learning behavior data and the support of learning behavior big data can ensure the completeness of data analysis and robustness of relationship verification. In this study, learning behaviors are divided into training set and testing set, BP neural network and recurrent Elman network are…
Descriptors: Interaction, Intervention, Student Behavior, Educational Environment
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Swist, Teresa; Humphry, Justine; Gulson, Kalervo N. – Learning, Media and Technology, 2023
There is a broad impetus across policy and institutional domains to expand public engagement and involvement with emerging technology research and innovation. Yet innovative theory, methods, and practices to critically explore algorithmic system controversies and democratic possibilities are still in nascent form. In this paper, we bring together…
Descriptors: Algorithms, Data Analysis, Democracy, Design
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Knox, Jeremy – Learning, Media and Technology, 2023
This paper examines ways in which the ethics of data-driven technologies might be (re)politicised, particularly where educational institutions are involved. The recent proliferation of principles, guidelines, and frameworks for ethical 'AI' (artificial intelligence) have emerged from a plethora of organisations in recent years, and seem poised to…
Descriptors: Ethics, Artificial Intelligence, Social Justice, Governance
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Clegg, Tamara L.; Cleveland, Keaunna; Weight, Erianne; Greene, Daniel; Elmqvist, Niklas – Journal of Research in Science Teaching, 2023
In this article, we investigate the community-driven science happening organically in elite athletics as a means of engaging a community of learners--collegiate athletes, many of whom come from underrepresented groups--in STEM. We aim to recognize the data literacy practices inherent in sports play and to explore the potential of "critical…
Descriptors: Data Analysis, Multiple Literacies, College Athletics, Student Athletes
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Knapp, David H.; Powell, Bryan; Smith, Gareth D.; Coggiola, John C.; Kelsey, Matthew – Research Studies in Music Education, 2023
The COVID-19 pandemic prompted a sudden rethinking of how music was taught and learned. Prior to the pandemic, the web-based digital audio workstation Soundtrap emerged as a leading platform for creating music online. The present study examined the growth of Soundtrap's usage during the COVID-19 pandemic. Using machine-learning methods, we…
Descriptors: Technology Uses in Education, Audio Equipment, COVID-19, Pandemics
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Zigerell, L. J. – Journal of Political Science Education, 2023
Data visualization is an important tool for communicating research results. This manuscript discusses a method that instructors can use to introduce political science students to visualizations and discusses strategies that instructors can share with students about how to create high-quality visualizations. These strategies can help students make…
Descriptors: Teaching Methods, Data Analysis, Visual Aids, Statistics Education
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