A Social Tagging System for Online Learning Objects

2011 ◽  
Vol 4 (11) ◽  
pp. 3362-3365 ◽  
Author(s):  
Chung-Wen Cho ◽  
Ting-Kuang Yeh ◽  
Shu-Wen Cheng ◽  
Chun-Yen Chang
Keyword(s):  
Online Learning ◽  
Learning Objects ◽  
Social Tagging ◽  
Tagging System

scholarly journals Implementing Universal Design for Learning Elements in the Online Learning Materials of a First-Year Required Course

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Ben Rearick ◽  
Erica England ◽  
Jennifer Saulnier Lange ◽  
Corey Johnson
Keyword(s):  
Online Learning ◽  
Design Theory ◽  
Universal Design ◽  
Universal Design For Learning ◽  
Learning Objects ◽  
Learning Materials ◽  
Study Results ◽  
Design For Learning ◽  
Before And After ◽  
Accessibility Guidelines

Universal Design for Learning (UDL) is a pedagogical design theory that accounts for variability across and within learners, both in physical classrooms and with online learning materials. Librarians at Washington State University implemented elements reflective of specific UDL checkpoints in a heavily-used LibGuide for a required undergraduate course. Online learning objects create opportunities for meeting UDL’s goals of not only multiple means of representation, but also engagement and action and expression extending beyond the baseline obligation to meet standard accessibility guidelines. We discuss our implementation of UDL elements, changes in LibGuide use before and after the introduction of UDL features, and usability study results, focusing on how students who face learning barriers view UDL. We explain considerations for successfully implementing UDL in online materials and the potential benefits.

Dynamic Maps’ Use in Smart-Cities Learning Contexts

2012 ◽  
Vol 3 (4) ◽  
pp. 33-49
Author(s):  
Marco Pedroni
Keyword(s):  
Online Learning ◽  
Knowledge Construction ◽  
Smart Cities ◽  
Learning Objects ◽  
Constructivist Teaching ◽  
Reconstruction Algorithms ◽  
Dynamic Reconstruction ◽  
Learning Contexts ◽  
Animated Maps

This paper examines the potentialities and characteristics of dynamic maps in relationship with constructivist teaching, by considering maps’ support to four functions: the contents’ learning, the contextualization of Learning Objects, the contextualization of online learning interaction and the knowledge construction. Several algorithms for polymorphic and animated maps’ reconstruction, both bi-dimensional and tridimensional, will be examined and described in detail. Among these algorithms, a further differentiation is made between those concerning proximal, or hierarchical development, and those regarding gravitational developments. In the latter one the positioning of nodes derives from quantitative values, that express their relation’s attractive strength. Conclusions derived from this work are the unavoidable need to implement maps’ dynamic reconstruction algorithms, when the complexity of the disciplinary ontology makes the traditional static approaches unable to provide an effectively usable image of the map.

Determination of Semantic Types of Tags in Social Tagging System

2018 ◽  
Vol 45 (8) ◽  
pp. 653-666 ◽  
Author(s):  
Yongfang Wang ◽  
Yangfang Tai ◽  
Yongfang Yang
Keyword(s):  
Social Tagging ◽  
Semantic Types ◽  
Tagging System

scholarly journals Challenges of Transitioning to e-learning System with Learning Objects Capabilities

2016 ◽  
Vol 17 (1) ◽  
Author(s):  
Miroslava Raspopovic ◽  
Svetlana Cvetanovic ◽  
Aleksandar Jankulovic
Keyword(s):  
Higher Education ◽  
Online Learning ◽  
Information Systems ◽  
Open Source ◽  
Learning Objects ◽  
Learning System ◽  
Learning Content ◽  
Technological Advances ◽  
E Learning ◽  
Transitional Challenges

<p>In order for higher education institutions, which implements blended and/or online learning to remain competitive and innovative it needs to keep up with the cutting edge technological and educational advances. This task is usually very difficult, keeping in mind the budget constraints that many institutions have. This usually implies that existing open source solutions have to be used and adapted to individual needs of each institution. Keeping up with the current technological advances often brings not only financial challenges, but also transitional challenges that may put at risk learning quality and reputation of the institution, as well as performance of students. This work describes the features of the system, results and challenges of transitioning to e-learning system that displays learning materials through sequence of reusable learning objects (LOs) from the system that does not have these capabilities. The goal of such system is to increase reusability of learning content, and moreover, to increase online interactivity and communication between the instructor and students. Findings of this work reveal advantages, disadvantages and potential obstacle of implementation e-learning system with LOs and give an overview of suggestions for implementation improvements. These suggestions are given based on evaluation of implementation of new e-learning system with LOs, after the transition from the traditional e-learning system. Furthermore, based on the research of existing methodologies in the field of information systems, and the results of this research, this work proposes methodology for transferring into e-learning system with LOs. </p>

scholarly journals Peran Ontologi dalam Pengembangan Sistem Rekomendasi pada Domain Online Learning

2020 ◽  
Vol 4 (1) ◽  
pp. 1-8
Author(s):  
Ika Arthalia Wulandari ◽  
Guna Yanti Kemala Sari Siregar Pahu ◽  
Puji Rahayu
Keyword(s):  
Online Learning ◽  
Recommendation System ◽  
Information Overload ◽  
Learning Objects ◽  
Learning Needs ◽  
Learning Material ◽  
Sources Of Information ◽  
Online Learning Resources

As online learning resources increase exponentially on the World Wide Web, online students have difficulty choosing the most suitable and relevant learning material that meets their learning needs due to information overload. Online learning recommendation system is used to predict the preferences or ranking of learners' targets on learning objects for the purpose of generating recommendations. However, the Recommendation system is considered to lack the ability to resolve semantic interoperability issues with heterogeneous sources of information. The purpose of this study is to discuss the role of ontology in the development of recommendation systems in the online learning domain. There are four electronic journal databases selected as references, namely IEEE, Science Direct, Springer Link, and ACM Digital Library. This study obtained 9 articles that were synthesized to answer research questions. This study shows that the involvement of ontology for knowledge representation in the recommendation process can improve the accuracy and quality of recommendations and at the same time help to overcome the weaknesses associated with conventional recommendations.

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