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Prerequisites-Based Course Recommendation: Recommending Learning Objects Using Concept Prerequisites and Metadata Matching
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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
Dimensions of Personhood in Cultural Heritage: Who (or What) Gets to Be Called a Person?
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Dobreski, Brian; Kwasnik, Barbara H. – Education for Information, 2021
We examine the notion of "person" in cultural heritage settings (libraries, museums, and archives) and how this notion has implications for their function and purpose. Variations in the way persons are described, represented, and discussed have taken on new significance in emerging online environments predicated on reusing and sharing…
Descriptors: Cultural Background, Libraries, Museums, Archives
Making and Using AI in the Library: Creating a BERT Model at the National Library of Sweden
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Haffenden, Chris; Fano, Elena; Malmsten, Martin; Börjeson, Love – College & Research Libraries, 2023
How can novel AI techniques be made and put to use in the library? Combining methods from data and library science, this article focuses on Natural Language Processing technologies, especially in national libraries. It explains how the National Library of Sweden's collections enabled the development of a new BERT language model for Swedish. It…
Descriptors: Foreign Countries, Artificial Intelligence, Models, Languages
Mapping of Learning Style with Learning Object Metadata for Addressing Cold-Start Problem in E-Learning Recommender Systems
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Joy, Jeevamol; Renumol, V. G. – International Journal of Learning Technology, 2021
In the e-learning domain, content recommender systems had evolved to recommend relevant learning contents based on the learner preferences. One of the significant drawbacks of content recommenders in the e-learning domain is the new user cold-start problem. The objective of this study is to propose a recommendation model for addressing the…
Descriptors: Cognitive Style, Electronic Learning, Metadata, Integrated Learning Systems
A Classification Approach with Machine Learning Methods for Technical Problems of Distance Education: Turkey Example
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Yayla, Ridvan; Yayla, Halime Nur; Ortaç, Gizem; Bilgin, Turgay Tugay – Open Praxis, 2021
Distance education is an education model in which the lessons can be taught simultaneously using technical material without time and space restrictions. It has gained importance after the COVID-19 pandemic processes and has been implemented as a valid educational model in all educational institutions. Due to the sudden pandemic measures, distance…
Descriptors: Classification, Distance Education, Pandemics, COVID-19
Total Learning Architecture (TLA) Data Pillars and Their Applicability to Adaptive Instructional Systems
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Smith, Brent; Milham, Laura – Advanced Distributed Learning Initiative, 2021
Since 2016, the Advanced Distributed Learning (ADL) Initiative has been developing the Total Learning Architecture (TLA), a 4-pillar data strategy for managing lifelong learning. Each pillar describes a type of learning-related data that needs to be captured, managed, and shared across an organization. Each data pillar is built on a set of…
Descriptors: Learning Analytics, Computer Software, Metadata, Learning Activities