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Article
Open AccessA Semantic Enhanced Course Recommender System via Knowledge Graphs for Limited User Information Scenarios
The Universal Declaration of Human Rights states that “everyone has the right to education” and it must be “equally accessible to all”. Aligned with these principles are online learning platforms that offer fr...
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Article
Open AccessCan artificial intelligence transform higher education?
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Article
Open AccessExploring knowledge graphs for the identification of concept prerequisites
Learning basic concepts before complex ones is a natural form of learning. Automated systems and instructional designers evaluate and order concepts’ complexity to successfully generate and recommend or adapt ...
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Chapter and Conference Paper
Comparing Graph Similarity Measures for Semantic Representations of Documents
Documents semantic representations built from open Knowledge Graphs (KGs) have proven to be beneficial in tasks such as recommendation, user profiling, and document retrieval. Broadly speaking, a semantic repr...
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Chapter and Conference Paper
Knowledge Graph-Based Teacher Support for Learning Material Authoring
Preparing high-quality learning material is a time-intensive, yet crucial task for teachers of all educational levels. In this paper, we present SoLeMiO, a tool to recommend and integrate learning material in ...
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Chapter and Conference Paper
Knowledge Graph-Based Core Concept Identification in Learning Resources
The automatic identification of core concepts addressed by a learning resource is an important task in favor of organizing content for educational purposes and for the next generation of learner support system...
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Chapter and Conference Paper
Exploring the Use of Linked Open Data for User Research Interest Modeling
In the context of the Social Web, user’ profiles reflecting an individual’s interests are being modeled using semantic techniques that consider the users posts’ and take advantage of the rich background knowle...
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Chapter and Conference Paper
Diversified Semantic Query Reformulation
One main challenge for search engines is retrieving the user’s intended results. Diversification techniques are employed to cover as many aspects of the query as possible through a tradeoff between the relevan...
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Chapter and Conference Paper
Visualization Improvement in Learning Analytics Using Semantic Enrichment
This chapter presents a learning analytics and knowledge representation framework to support analysis and visualization of data extracted from MOOC (Massive Open Online Course). Data analytics provides methods...
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Article
Open AccessCompetency-based personalization for massive online learning
This paper investigates the problem of personalization in massive open online courses (MOOC) based on a target competency profile and a learning scenario model built for the course. To use such a profile for a...
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Chapter
Bridging the Gap Between E-Learning Modeling and Delivery Through the Transformation of Learnflows into Workflows
E-learning pedagogical models are described in terms of educational modeling languages (EMLs). IMS-LD is accepted as the standard EML. It allows for the description of multiactor adaptable learning processes. ...
