Developing a Collaborative Learning Environment Using Web Services Techniques
TL;DR: This paper highlights Service-Oriented Architecture (SOA) features to fulfill the collaborative e-learning requirements and investigates three commonly used standards in e- learning which are SCORM, IMS-LD, IEEE and LOM to enhance the characteristics of collaborative E-learning in relation to the features of these standards.
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Abstract: Collaborative e-learning has a set of characteristics which requires interaction and negotiation among learners and teachers. It also needs support to achieve high-level requirements for learning content and systems such as accessibility, reusability, interoperability and adaptability. The focus of this paper is to investigate three commonly used standards in e-learning which are: SCORM, IMS-LD, IEEE and LOM to enhance the characteristics of collaborative e-learning in relation to the features of these standards. Due the lack of collaboration features in these standards, this paper highlights Service-Oriented Architecture (SOA) features to fulfill the collaborative e-learning requirements.
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Citations
PerLCol: A Framework for Personalized e-Learning with Social Collaboration Support
TL;DR: A framework to upgrade the virtual learning environment to provide flexible collaboration and be adaptive to learners’ needs is proposed, which integrates social media tools for seamless collaboration and utilizes the generated content during collaboration to identify discussed concepts and learners' characteristics to provide a personalized learning package accordingly.
Aggregation and Mapping of Social Media Attribute Names Extracted from Chat Conversation for Personalized E-Learning
Amal Al-Abri,Yassine Jamoussi,Zuhoor Al-Khanjari,Naoufel Kraiem +3 more
- 19 Feb 2019
TL;DR: This paper presents an aggregation model for the conversation data collected from different social media applications, based on the attributes required to enhance personalization services, and the promising results from the matching process indicate the usefulness of the model.
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Identifying Learning Styles from Chat Conversation using Ontology-Based Dynamic Bayesian Network Model
Amal Al-Abri,Zuhoor Al-Khanjari,Yassine Jamoussi,Naoufel Kraiem +3 more
- 11 Jul 2018
TL;DR: This paper proposes an ontology-based Dynamic Bayesian Network (DBN) model to represent the relationship between the learning style and preferable learning object and obtains the learner's opinion more than one time by using time slice to make the indication of learning styles more accurate.
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Towards a Classification View of Personalized e-Learning with Social Collaboration Support
TL;DR: The findings show that the utilization of the user-generated contents and social interaction functionalities for personalization is tight and not fully consumed, and the potential of providing personalized learning with social interaction and collaboration features remains not fully explored.
A scheme for extracting information from collaborative social interaction tools for personalized educational environments
Amal Al-Abri,Zuhoor Al-Khanjari,Naoufel Kraiem,Yassine Jamoussi +3 more
- 01 Oct 2017
TL;DR: This paper presents an approach to extract information related to the domain model and user model for the purpose of personalization using chat conversations using different social media tools during collaborative learning as sources for the text analysis.
References
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Pierre Dillenbourg,Sanna Järvelä,Frank Fischer +2 more
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Technology supports for distributed and collaborative learning over the internet
TL;DR: A number of technology issues are discussed, including distributed learning, collaborative learning, distributed content management, mobile and situated learning, and multimodal interaction and augmented devices for e-learning.
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Developing a collaborative e-learning system based on users' perceptions
Shu-Sheng Liaw,Hsiu-Mei Huang +1 more
- 03 May 2006
TL;DR: The results of factor analysis show that the five users' perception factors are: environmental characteristics, environmental satisfaction, collaboration activities, learners' characteristics, and environment acceptance, and these five factors should be considered at the same time when developing a collaborative e-learning system.
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On the use of learning object metadata: the GLOBE experience
Xavier Ochoa,Joris Klerkx,Bram Vandeputte,Erik Duval +3 more
- 20 Sep 2011
TL;DR: An in-depth analysis of the use and quality of 630.317 metadata instances of the LOM standard in the real world is presented.
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