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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
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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Yürüm, Ozan Rasit; Taskaya-Temizel, Tugba; Yildirim, Soner – Education and Information Technologies, 2023
Video clickstream behaviors such as pause, forward, and backward offer great potential for educational data mining and learning analytics since students exhibit a significant amount of these behaviors in online courses. The purpose of this study is to investigate the predictive relationship between video clickstream behaviors and students' test…
Descriptors: Video Technology, Educational Technology, Learning Management Systems, Data Collection
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Van Wart, Sarah; Lanouette, Kathryn; Parikh, Tapan S. – Journal of the Learning Sciences, 2020
Data increasingly mediates how we understand the world. As such, there is growing interest in designing initiatives to help young people learn about data--not only the techno-mathematical skills necessary to work with data, but also the dispositions needed to participate in data-centric ways of knowing and doing. In this article, we argue that as…
Descriptors: Data, Social Problems, Data Collection, Data Use
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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
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Lanze Vanermen; Joris Vlieghe; Mathias Decuypere – Discourse: Studies in the Cultural Politics of Education, 2025
Educational dashboards are increasingly prevalent visualising technologies that display data from educational processes to help learners and educators track learning pathways, alert for deviations, and make interventions. This study contributes to critical studies on data visualisations in education by examining dashboards in higher distance…
Descriptors: Distance Education, Higher Education, Visual Aids, Educational Technology
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Renu, N.; Sunil, K. – Higher Education for the Future, 2023
Integration of computational data science (CDS) into the university curriculum offers several advantages for students, faculty and the institution. This article discusses the benefits to students of introducing CDS into the university curriculum with a focus on developing skills in cheminformatics, data analysis, structure--activity relationships,…
Descriptors: Data Science, Higher Education, College Students, Skill Development
European Commission, 2022
This report reviews the outcomes of Erasmus+ projects promoting inclusion in education, implemented between 2014 and 2020. Starting from an inventory of 120 Erasmus+ projects labelled as 'good practice' in the Erasmus+ projects database, 15 projects were selected for further examination as case studies. The report summarises the main findings of…
Descriptors: Data Collection, Data Analysis, College Students, Student Exchange Programs
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Leif Sundberg; Jonny Holmström – Journal of Information Systems Education, 2024
With recent advances in artificial intelligence (AI), machine learning (ML) has been identified as particularly useful for organizations seeking to create value from data. However, as ML is commonly associated with technical professions, such as computer science and engineering, incorporating training in the use of ML into non-technical…
Descriptors: Artificial Intelligence, Conventional Instruction, Data Collection, Models
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Mayer, Benjamin; Kuemmel, Anja; Meule, Marianne; Muche, Rainer – Journal of Statistics and Data Science Education, 2023
Teaching practical skills is of particular interest in the study of human medicine. With regard to medical statistics this means the use of statistical software, which may be effectively taught by a flipped classroom approach. As a pilot study, we designed and implemented an elective course on medical statistics that focused on hands-on data…
Descriptors: Computer Software, Medicine, Statistics, Flipped Classroom
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Xingle Ji; Lu Sun; Xueyong Xu; Xiaobing Lei – International Journal of Information and Communication Technology Education, 2024
This study examines the current research on educational data mining, educational learning support services, personalized learning services, and personalized learning paths in education. The authors aim to integrate personalized learning concepts into traditional support services by drawing on the latest theoretical and practical research. Using…
Descriptors: Information Retrieval, Data Analysis, Educational Research, Individualized Instruction
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Pelletier, Kathe; Hutt, Chris – Change: The Magazine of Higher Learning, 2021
Digital transformation (Dx) refers to a series of deep and coordinated culture, workforce, and technology shifts that enable new educational and operating models and transform an institution's business model, strategic directions, and value proposition. Dx initiatives on many campuses are anchored in student success goals. As a result of this…
Descriptors: Technology Uses in Education, Educational Change, Faculty Advisers, College Students
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Yu-Hung Chiang; Yu-Chen Su; Wei-Tsong Wang; Tien-Chi Huang – Journal of Educational Computing Research, 2025
As big data and artificial intelligence become integral to business decision-making, business management students require proficiency in data science and big data. However, the use of instructional technologies, such as augmented reality (AR) and mind mapping to teach these subjects is limited. This study introduces an innovative pedagogical model…
Descriptors: Business Education, College Students, Foreign Countries, Data
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Weiand, Augusto; Manssour, Isabel Harb; Silveira, Milene Selbach – International Journal of Distance Education Technologies, 2019
With technological advances, distance education has been frequently discussed in recent years. The learning environments used in this course usually generates a great deal of data because of the large number of students and the various tasks involving their interaction. In order to facilitate the analysis of the data, the authors researched to…
Descriptors: Foreign Countries, Distance Education, Online Courses, Visualization
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Oliwa, Robert – Teaching English with Technology, 2021
This study investigates the process of designing the functionalities of an online learning platform put forward by three types of its users: students, academics and admin staff. Moreover, the study intends to get an insight into the impact the attitudes of the participants of the instruction process have on the process of the platform…
Descriptors: Curriculum Design, Online Courses, Distance Education, Electronic Learning
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