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Showing 1 to 15 of 38 results Save | Export
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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
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Amane, Meryem; Aissaoui, Karima; Berrada, Mohammed – International Journal of Information and Learning Technology, 2023
Purpose: Together, learning objects (LOs) and e-pedagogical practices have the potential to improve the performance of e-learning systems in several ways. They can make e-learning more personalised and adaptable, providing students with a more engaging and effective learning experience. Design/methodology/approach: The development of LOs and…
Descriptors: Electronic Learning, Resource Units, Metadata, Algorithms
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Castleberry, Colin; Hanner, Ainsley; Burks, Gabriel; Amos, Jennifer – European Journal of Engineering Education, 2023
As classroom diversity increases across educational domains, additional stress is placed on instructors to provide effective and personalised learning experiences. Formative assessments can inform instructors of learning differences between student cohorts and individual students, allowing adaptation of learning experiences to individual student…
Descriptors: Teacher Attitudes, Formative Evaluation, Computer Assisted Testing, Evaluation Methods
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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
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Clavié, Benjamin; Gal, Kobi – International Educational Data Mining Society, 2020
We introduce DeepPerfEmb, or DPE, a new deep-learning model that captures dense representations of students' online behaviour and meta-data about students and educational content. The model uses these representations to predict student performance. We evaluate DPE on standard datasets from the literature, showing superior performance to the…
Descriptors: Student Behavior, Electronic Learning, Metadata, Prediction
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Cerón-Figueroa, Sergio; López-Yáñez, Itzamá; Villuendas-Rey, Yenny; Camacho-Nieto, Oscar; Aldape-Pérez, Mario; Yáñez-Márquez, Cornelio – International Review of Research in Open and Distributed Learning, 2017
The present work describes an original associative model of pattern classification and its application to align different ontologies containing Learning Objects (LOs), which are in turn related to Open and Distance Learning (ODL) educative content. The problem of aligning ontologies is known as Ontology Matching Problem (OMP), whose solution is…
Descriptors: Open Education, Distance Education, Classification, Metadata
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Rajabi, Enayat; Sanchez-Alonso, Salvador; Sicilia, Miguel-Angel; Manouselis, Nikos – British Journal of Educational Technology, 2017
Exposing eLearning objects on the Web of Data leads to sharing and reusing of educational resources and improves the interoperability of data on the Web. Furthermore, it enriches e-learning content, as it is connected to other valuable resources using the Linked Data principles. This paper describes a study performed on the Organic.Edunet…
Descriptors: Electronic Learning, Databases, Archives, Educational Resources
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Al Fayez, Reem Q. – Electronic Journal of e-Learning, 2020
This article reports comparison results from studying the alignment of selected metadata models, used to manage E-Learning Materials (ELM) in the medicine and healthcare education, against the accreditation standards of the European Accreditation Council for Continuing Medical Education (EACCME). The study aims to (1) illustrate the variety of…
Descriptors: Metadata, Models, Web Sites, Medical Education
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Neves, Daniel Eugênio; Brandão, Wladmir Cardoso; Ishitani, Lucila – Informatics in Education, 2017
Although widely used, the SCORM metadata model for content aggregation is difficult to be used by educators, content developers and instructional designers. Particularly, the identification of contents related with each other, in large repositories, and their aggregation using metadata as defined in SCORM, has been demanding efforts of computer…
Descriptors: Metadata, Information Storage, Information Management, Information Retrieval
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Onita, Mihai; Petan, Sorin; Vasiu, Radu – International Education Studies, 2016
In the recent years, the globalization and massification of video education offer involved more and more eLearning scenarios within universities. This article refers to interactive video and proposes an overview of it. We analyze the background information, regarding the eLearning campus used in virtual universities around the world, the MOOC…
Descriptors: Foreign Countries, Interactive Video, Virtual Universities, Online Courses
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Sabitha, A. Sai; Mehrotra, Deepti; Bansal, Abhay – Education and Information Technologies, 2017
Currently the challenges in e-Learning are converging the learning content from various sources and managing them within e-learning practices. Data mining learning algorithms can be used and the contents can be converged based on the Metadata of the objects. Ensemble methods use multiple learning algorithms and it can be used to converge the…
Descriptors: Electronic Learning, Metadata, Computer System Design, Design Preferences
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Poulakakis, Yannis; Vassilakis, Kostas; Kalogiannakis, Michail; Panagiotakis, Spyros – Education and Information Technologies, 2017
In eLearning context searching for suitable educational material is still a challenging issue. During the last two decades, various digital repositories, such as Learning Object Repositories, institutional repositories and latterly Open Educational Resources, have been developed to accommodate collections of learning material that can be used for…
Descriptors: Foreign Countries, Electronic Learning, Educational Technology, Shared Resources and Services
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Alhawiti, Mohammed M.; Abdelhamid, Yasser – Journal of Education and e-Learning Research, 2017
With the advent of web based learning and content management tools, e-learning has become a matured learning paradigm, and changed the trend of instructional design from instructor centric learning paradigm to learner centric approach, and evolved from "one instructional design for many learners" to "one design for one learner"…
Descriptors: Electronic Learning, Student Centered Learning, Instructional Design, Individualized Instruction
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Solomou, Georgia; Pierrakeas, Christos; Kameas, Achilles – Educational Technology & Society, 2015
The ability to effectively administrate educational resources in terms of accessibility, reusability and interoperability lies in the adoption of an appropriate metadata schema, able of adequately describing them. A considerable number of different educational metadata schemas can be found in literature, with the IEEE LOM being the most widely…
Descriptors: Educational Resources, Electronic Learning, Metadata, Profiles
Luz, Bruno N.; Santos, Rafael; Alves, Bruno; Areão, Andreza S.; Yokoyama, Marcos H.; Guimarães, Marcelo P. – International Association for Development of the Information Society, 2015
The main purpose of this paper is to present the importance of Interactive Learning Objects (ILO) to improve the teaching-learning process by assuring a constant interaction among teachers and students, which in turn, allows students to be constantly supported by the teacher. The paper describes the ontology that defines the ILO available on the…
Descriptors: Resource Units, Metadata, Interaction, Learning Processes
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