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Caitlin Mills, Editor; Giora Alexandron, Editor; Davide Taibi, Editor; Giosuè Lo Bosco, Editor; Luc Paquette, Editor – International Educational Data Mining Society, 2025
The University of Palermo is proud to host the 18th International Conference on Educational Data Mining (EDM) in Palermo, Italy, from July 20 to July 23, 2025. EDM is the annual flagship conference of the International Educational Data Mining Society. This year's theme is "New Goals, New Measurements, New Incentives to Learn." The theme…
Descriptors: Artificial Intelligence, Data Analysis, Computer Science Education, Technology Uses in Education
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
Patrick Ocheja; Brendan Flanagan; Hiroaki Ogata; Solomon Sunday Oyelere – Interactive Learning Environments, 2023
The use of blockchain in education has become one of the trending topics in education technology research. However, only a handful of education blockchain solutions have provided a measure of the impact on students' learning outcomes, teaching, or administrative processes. This work reviews how academic data stored on the blockchain is being…
Descriptors: Educational Technology, Learning Activities, Lifelong Learning, Information Security
Emmanuel Amos; Harry Barton Essel; George Kwame Fobiri; Akwasi Adomako Boakye; Yaw Boateng Ampadu – SAGE Open, 2025
The increasing number of students in higher education has led to the formation of large class teaching and learning environments, which is a threat to quality education. The Department of Fashion Design and Textiles Studies of Kumasi Technical University is one such department that is facing this challenge. Computer-based technology has…
Descriptors: Foreign Countries, College Students, Design, Computer Uses in Education
Zhao, Qun; Wang, Jin-Long; Pao, Tsang-Long; Wang, Li-Yu – Journal of Educational Technology Systems, 2020
This study uses the log data from Moodle learning management system for predicting student learning performance in the first third of a semester. Since the quality of the data has great influence on the accuracy of machine learning, five major data transmission methods are used to enhance data quality of log file in the data preprocessing stage.…
Descriptors: Classification, Learning, Accuracy, Prediction
Lyndsay Grant – Research in Education, 2024
The digitalisation and datafication of education has raised profound questions about the changing role of teachers' educational expertise and agency, as automated processes, data-driven analytics and accountability regimes produce new forms of knowledge and governance. Increasingly, research is paying greater attention to the significant role of…
Descriptors: Data, Computer Networks, Computer Interfaces, Computer System Design
Kai Li – International Association for Development of the Information Society, 2023
Assessing students' performance in online learning could be executed not only by the traditional forms of summative assessments such as using essays, assignments, and a final exam, etc. but also by more formative assessment approaches such as interaction activities, forum posts, etc. However, it is difficult for teachers to monitor and assess…
Descriptors: Student Evaluation, Online Courses, Electronic Learning, Computer Literacy
Saar, Merike; Prieto, Luis P.; Rodríguez Triana, María Jesús – Technology, Pedagogy and Education, 2022
Research indicates that data-informed practice helps teachers change their teaching and promotes teacher professional development (TPD). Although educational data are often collected from digital spaces, in-action evidence from physical spaces is seldom gathered, providing an incomplete view of the classroom reality. Also, most learning analytics…
Descriptors: Data Collection, Data Use, Teaching Methods, Faculty Development
Murchan, Damian; Siddiq, Fazilat – Large-scale Assessments in Education, 2021
Analysis of user-generated data (for example process data from logfiles, learning analytics, and data mining) in computer-based environments has gained much attention in the last decade and is considered a promising evolving field in learning sciences. In the area of educational assessment, the benefits of such data and how to exploit them are…
Descriptors: Ethics, Federal Regulation, Learning Analytics, Data Use
Ifenthaler, Dirk; Gibson, David; Prasse, Doreen; Shimada, Atsushi; Yamada, Masanori – Educational Technology Research and Development, 2021
This paper is based on: (1) a literature review focussing on the impact of learning analytics on supporting learning and teaching; (2) a Delphi study involving international expert discussion on current opportunities and challenges of learning analytics; as well as (3) outlining a research agenda for closing identified research gaps. Issues and…
Descriptors: Learning Analytics, Policy Formation, Educational Policy, Educational Practices
Pucciarelli, Alexandra; May, Emma – Education for Information, 2023
The increased accessibility of technology is often employed as rationale for data extraction and surveillance. This paper examines critical perspectives on surveillance and educational technologies from Library and Information Science (LIS) literature, as well as those from disability studies that concern technology development more broadly. This…
Descriptors: Educational Technology, Social Justice, Access to Computers, Social Bias
Hillman, Velislava – Learning, Media and Technology, 2023
The need for a comprehensive education data governance -- the regulation of who collects what data, how it is used and why -- continues to grow. Technologically, data can be collected by third parties, rendering schools unable to control their use. Legal frameworks partially achieve data governance as businesses continue to exploit existing…
Descriptors: Data Collection, Governance, Data Use, Laws
Raffaghelli, Juliana E., Ed.; Sangrà, Albert, Ed. – Higher Education Dynamics, 2023
This collection focuses on the role of higher education institutions concerning datafication as a complex phenomenon. It explores how the universities can develop data literac(ies) shaping tomorrow skills and "formae mentis" to face the most deleterious effects of datafication, but also to engage in creative and constructive ways with…
Descriptors: Data Use, Higher Education, Educational Change, Data Analysis
Kitto, Kirsty; Knight, Simon – British Journal of Educational Technology, 2019
Artificial intelligence and data analysis (AIDA) are increasingly entering the field of education. Within this context, the subfield of learning analytics (LA) has, since its inception, had a strong emphasis upon ethics, with numerous checklists and frameworks proposed to ensure that student privacy is respected and potential harms avoided. Here,…
Descriptors: Ethics, Learning Analytics, Artificial Intelligence, Data Analysis
Papamitsiou, Zacharoula; Filippakis, Michail E.; Poulou, Marilena; Sampson, Demetrios; Ifenthaler, Dirk; Giannakos, Michail – Smart Learning Environments, 2021
In the era of digitalization of learning and teaching processes, Educational Data Literacy (EDL) is highly valued and is becoming essential. EDL is conceptualized as the ability to collect, manage, analyse, comprehend, interpret, and act upon educational data in an ethical, meaningful, and critical manner. The professionals in the field of…
Descriptors: Multiple Literacies, Instructional Design, Tutors, Electronic Learning

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