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Abdessamad Chanaa; Nour-eddine El Faddouli – Smart Learning Environments, 2024
The recommendation is an active area of scientific research; it is also a challenging and fundamental problem in online education. However, classical recommender systems usually suffer from item cold-start issues. Besides, unlike other fields like e-commerce or entertainment, e-learning recommendations must ensure that learners have the adequate…
Descriptors: Artificial Intelligence, Prerequisites, Metadata, Electronic Learning
Van Petegem, Charlotte; Deconinck, Louise; Mourisse, Dieter; Maertens, Rien; Strijbol, Niko; Dhoedt, Bart; De Wever, Bram; Dawyndt, Peter; Mesuere, Bart – Journal of Educational Computing Research, 2023
We present a privacy-friendly early-detection framework to identify students at risk of failing in introductory programming courses at university. The framework was validated for two different courses with annual editions taken by higher education students (N = 2 080) and was found to be highly accurate and robust against variation in course…
Descriptors: Pass Fail Grading, At Risk Students, Introductory Courses, Programming
Julie Shi; Mike Nason; Marco Tullney; Juan Pablo Alperin – College & Research Libraries, 2025
Metadata are crucial for discovery and access by providing contextual, technical, and administrative information in a standard form. Yet metadata are also sites of tension between sociocultural representations, resource constraints, and standardized systems. Formal and informal interventions may be interpreted as quality issues, political acts to…
Descriptors: Metadata, Quality Control, Problems, Cross Cultural Studies
Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology
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
Barnes, Cynthia; Cavaliere, Frank – Education, 2009
Metadata is information about computer-generated documents that is often inadvertently transmitted to others. The problems associated with metadata have become more acute over time as word processing and other popular programs have become more receptive to the concept of collaboration. As more people become involved in the preparation of…
Descriptors: Metadata, Ethics, Internet, Word Processing
Kim, Jihyun – Journal of Archival Organization, 2004
The study investigated implications of variations in EAD [Encoded Archival Description]-encoded finding aids on the Web. A content analysis methodology was used to examine five different aspects of EAD finding aids: (1) data elements; (2) labeling terminology; (3) navigation; (4) browsing; (5) searching. Seventeen EAD finding aid web sites…
Descriptors: Archives, Standards, Coding, Metadata

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