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Xinning Zheng – International Journal of Web-Based Learning and Teaching Technologies, 2024
The integration of Internet technology and the collaborative development of smart classrooms is an essential step for colleges and universities to advance English instruction reform. This study utilized data mining (DM) technology to analyze the learning process in college English smart classrooms. The results indicate that the DM algorithm used…
Descriptors: English Instruction, Data Use, Learning Processes, Educational Technology
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Christothea Herodotou; Sagun Shrestha; Catherine Comfort; Heshan Andrews; Paul Mulholland; Vaclav Bayer; Claire Maguire; John Lee; Miriam Fernandez – Journal of Learning Analytics, 2025
In this paper, we explore the design of a student-facing dashboard for online and distance learning with a focus on capturing and addressing specific learning needs. A participatory process involving 20 students was employed, which included a screening questionnaire and focus group discussions. The selection of data points to be displayed on the…
Descriptors: Electronic Learning, Distance Education, Student Attitudes, Educational Technology
Anna Elizabeth Jones – ProQuest LLC, 2023
Learning analytics is an emerging trend in American community colleges brought about by technological advancements, institutional accountability, and external pressure on institutions to substantiate and improve learning. Learning analytics can potentially improve student engagement, retention, and success but also possess inherent ethical and…
Descriptors: Community Colleges, Faculty Advisers, Ethics, Learning Analytics
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Dermentzi, Eleni; Zotou, Maria; Tambouris, Efthimios; Tarabanis, Konstantinos – Education and Information Technologies, 2022
With Open Data becoming more popular and more public bodies publishing their datasets, the need for educating prospective graduates on how they can use them has become prominent. This study examines the use of the Problem Based Learning (PBL) method and educational technologies to support the development of Open Data skills in university students.…
Descriptors: Problem Based Learning, Educational Technology, Data, Data Use
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Jing Chen; Tianhui Chen – Journal of Computer Assisted Learning, 2025
Background: The creation of Intelligent Supervision Platforms in universities leverages Big Data for robust monitoring and decision-making, which significantly enhances overall efficiency and adaptability in educational environments. Objectives: This research focuses on evaluating how Big Data-driven Intelligent Supervision Platforms in…
Descriptors: Educational Change, Higher Education, Universities, Supervision
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Daniel Clark – Learning, Media and Technology, 2024
Whilst technology may have been the 'saviour' of HE from the immediate challenges of the pandemic, the opportunistic dialogue emerging in response is imbued with notions of the pandemic as a catalyst for change. Empowered by the apparent success of technology's deliverance, the door has been opened to unprecedented investment into a pervasive and…
Descriptors: Educational Technology, Higher Education, Consumer Economics, Neoliberalism
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Neil Dixon; Rob Howe; Uwe Matthias Richter – Research in Learning Technology, 2025
Learning analytics (LA) provides insight into student performance and progress, allowing for targeted interventions and support to improve the student learning experience. Uses of LA are diverse, including measuring student engagement, retention, progression, student well-being and curriculum development. This article provides perspectives on the…
Descriptors: Learning Analytics, Educational Benefits, Case Studies, Higher Education
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Aimee Jacobs; Jacquelin J. Curry; Concetta A. DePaolo; Fernando Parra – Journal of Information Systems Education, 2024
This manuscript describes the use of real data applied to a fictional real-estate firm for teaching data visualization to university students. In the case study, students employ data analytic techniques in Tableau to clean, organize, and analyze real estate data. By creating visualizations, students address several questions about how selling…
Descriptors: Visualization, Housing, Computer Software, Data Use
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Meka N. McCammon; Katie Wolfe; Ruiqin Gao; Angela Starrett – Remedial and Special Education, 2025
Data-based decision-making, which involves evaluating students' progress and making instructional decisions, is an integral competency for preservice teachers. Several studies have found that visual aids, such as decision-making models, may be an effective way to train preservice teachers to make instructional decisions. The purpose of this study…
Descriptors: Data Use, Decision Making, Preservice Teacher Education, Teacher Competencies
Karen Dan Wang – ProQuest LLC, 2023
Digital learning environments are becoming increasingly ubiquitous as a wide range of EdTech products and services enter classrooms and households across the globe. One salient attribute of these environments is their capacity to generate large amounts of data as students interact with the technology. These data logs can help construct a detailed…
Descriptors: Educational Technology, Electronic Learning, Data Collection, Problem Solving
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Reyna, Mercedes; Peppino Margutti, Micaela; Vilchez, Ana Carolina; Villasuso, Ana Laura – Biochemistry and Molecular Biology Education, 2023
Lipidomics is a discipline that focuses on the identification and quantification of lipids. Although a part of the larger omics field, lipidomics requires specific approaches for the analysis and biological interpretation of datasets. This article presents a series of activities for introducing undergraduate microbiology students to lipidomic…
Descriptors: Biology, Microbiology, Science Instruction, College Science
Ajay Kulkarni – ProQuest LLC, 2022
This work focuses on simulation, design, development, and evaluation of a visual Learning Analytics (LA) tool -- Real-time Educational AI-powered Classroom Tool (REACT) -- to support educators' data-driven decision-making. The educational institutions face one of the biggest challenges, such as predicting student performance, detecting undesirable…
Descriptors: Artificial Intelligence, Learning Analytics, Visual Learning, Data Use
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Kirby, Misty M.; Downer, Terri; Slade, Christine; Fisher, Marie B.; Isbel, Stephen T.; Siddiqui, Zarrin S.; McAllister, Lynn; Miller, Allison; Wilson, Christine Brown – Journal of Computing in Higher Education, 2023
The purpose of this study was to identify educational, technological, and professional consequences of ePortfolio use that were intended, unintended, positive and negative. Ethical approval was obtained from seven universities in accordance with institutional guidelines established in accordance with Australia's "National Statement on Ethical…
Descriptors: Electronic Publishing, Portfolios (Background Materials), Educational Technology, College Faculty
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Lisa Azure; Sheridan Mcneil; Leah Woodke; Monte Schaff – Strategic Enrollment Management Quarterly, 2024
Enrollment of American Indian and Alaska Native (AI/AN) students in postsecondary education in the United States has been increasing over the past three decades (Chee, Shorty, and Robinson Kurpius 2019). The Tribal College Movement began more than 40 years ago with the establishment of the first tribally-controlled community college in 1968.…
Descriptors: Educational Improvement, Minority Serving Institutions, Tribally Controlled Education, American Indians
Kilgore, Wendy – American Association of Collegiate Registrars and Admissions Officers (AACRAO), 2022
Research from Complete College America has shown that the majority of students don't take enough credits to complete their degree on-time. While there are many factors that contribute to this, a student's ability to access the courses they need, when they need them plays a critical role in this discussion. Similarly, research has found that 65% of…
Descriptors: Undergraduate Study, School Schedules, Educational Practices, Educational Policy
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