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Melina Verger; Chunyang Fan; Sébastien Lallé; François Bouchet; Vanda Luengo – Journal of Educational Data Mining, 2024
Predictive student models are increasingly used in learning environments due to their ability to enhance educational outcomes and support stakeholders in making informed decisions. However, predictive models can be biased and produce unfair outcomes, leading to potential discrimination against certain individuals and harmful long-term…
Descriptors: Algorithms, Prediction, Bias, Classification
Mayerhofer, Patrick; Carter, James; Donelan, J. Maxwell – Advances in Physiology Education, 2022
To help educators deliver their physiology laboratory courses remotely, we developed an inexpensive, customizable hardware kit along with freely available teaching resources. We based the course design on four principles that should allow students to conduct insightful experiments on different physiological systems. First, the experimental setup…
Descriptors: Laboratory Experiments, Science Instruction, Physiology, Cost Effectiveness
Blobstein, Ariel; Gal, Kobi; Kim, Hyunsoo Gloria; Facciotti, Marc; Karger, David; Sripathi, Kamali – International Educational Data Mining Society, 2022
Emoji are commonly used in social media to convey attitudes and emotions. While popular, their use in educational contexts has been sparsely studied. This paper reports on the students' use of emoji in an online course forum in which students annotate and discuss course material in the margins of the online textbook. For this study, instructors…
Descriptors: Computer Mediated Communication, Nonverbal Communication, Social Media, Online Courses
Stemmler, Mark; Heine, Jörg-Henrik – International Journal of Behavioral Development, 2017
Configural frequency analysis and log-linear modeling are presented as person-centered analytic approaches for the analysis of categorical or categorized data in multi-way contingency tables. Person-centered developmental psychology, based on the holistic interactionistic perspective of the Stockholm working group around David Magnusson and Lars…
Descriptors: Classification, Data, Tables (Data), Models
Gómez-Zermeño, Marcela Georgina; de la Garza, Lorena Yadira Alemán – Open Praxis, 2015
Temoa is a distributor of knowledge that provides a multilingual public catalog of collections of Open Educational Resources (OER). Temoa seeks to support the educational community to find the resources and materials that meet their needs for teaching and learning, through a specialized search system and collaborative social tools. Temoa was…
Descriptors: Foreign Countries, Open Education, Open Source Technology, Developing Nations
Knowles, Jared E. – Journal of Educational Data Mining, 2015
The state of Wisconsin has one of the highest four year graduation rates in the nation, but deep disparities among student subgroups remain. To address this the state has created the Wisconsin Dropout Early Warning System (DEWS), a predictive model of student dropout risk for students in grades six through nine. The Wisconsin DEWS is in use…
Descriptors: Dropouts, Models, Prediction, Risk
Amiel, Tel; Soares, Tiago Chagas – International Review of Research in Open and Distributed Learning, 2016
We present an analysis of 50 repositories for educational content conducted through an "audit system" that helped us classify these repositories, their software systems, promoters, and how they communicated their licensing practices. We randomly accessed five resources from each repository to investigate the alignment of licensing…
Descriptors: Audits (Verification), Educational Resources, Certification, Conflict
Namdev Dhamdhere, Sangeeta – Turkish Online Journal of Distance Education, 2015
Every academic institution contributes to knowledge. The generated information and knowledge is to be compiled at a central place and disseminated among the society for further growth. It is observed that the generated knowledge in the academic institute is not stored or captured properly. It is also observed that many a times generated…
Descriptors: Foreign Countries, Knowledge Management, Higher Education, Universities
Schultz, Christopher – Journal of Information Systems Education, 2012
Empirical research on information security trends and practices in e-learning is scarce. Many articles that have been published apply basic information security concepts to e-learning and list potential threats or propose frameworks for classifying threats. The purpose of this research is to identify, categorize and understand trends and issues in…
Descriptors: Information Security, Management Systems, Trend Analysis, Content Analysis
Cohen, Anat; Reisman, Sorel; Sperling, Barbra Bied – International Review of Research in Open and Distributed Learning, 2015
Learning object repositories are a shared, open and public space; however, the possibility and ability of personal expression in an open, global, public space is crucial. The aim of this study is to explore personal spaces in a big learning object repository as a facilitator for adoption of Open Educational Resources (OER) into teaching practices…
Descriptors: Resource Units, Shared Resources and Services, Access to Information, Information Storage
Zervas, Panagiotis; Sampson, Demetrios G.; Aristeidou, Maria – International Association for Development of the Information Society, 2012
Over the past years, several Open Educational Resources (OERs) initiatives have been emerged worldwide aiming to create, share and reuse digital educational resources among educational communities. As a result, organizing, offering and accessing these resources over the web have been key issues for both the research and the educational community.…
Descriptors: Foreign Countries, Open Source Technology, Indexing, Motivation
Valdés Aguirre, Benjamín; Ramírez Uresti, Jorge A.; du Boulay, Benedict – International Journal of Artificial Intelligence in Education, 2016
Sharing user information between systems is an area of interest for every field involving personalization. Recommender Systems are more advanced in this aspect than Intelligent Tutoring Systems (ITSs) and Intelligent Learning Environments (ILEs). A reason for this is that the user models of Intelligent Tutoring Systems and Intelligent Learning…
Descriptors: Intelligent Tutoring Systems, Models, Open Source Technology, Computers