Using IMS LD Specification for e-Learning in the Cloud Computing

Ouahabi, Sara; Eddaoui, Ahmed; Labriji, H.; Benlahmar, Elhabib; Guemmat, Kamal El

doi:10.7763/ijiet.2015.v5.627

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…This is all the more deplorable during synchronous sessions on the platform since they can be interrupted by the lack of connection or by a faulty connection [19]. The use of cloud computing to increase the quality of teaching and support the transformation of educational establishments by offering them scalable solutions and services while guaranteeing access to learning and resources for all stakeholders, everywhere, all the time [20], [21].…”

Section: Resultsmentioning

confidence: 99%

A survey of distance learning in Morocco during COVID19

Ouahabi¹,

Guemmat²,

Azouazi³

et al. 2021

IJEECS

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<p>The face-to-face mode is always considered as the normal mode of teaching, and distance education is often understood as a remedy for the lack of material and human resources necessary to conduct training; but to prevent the spread of the coronavirus (COVID19), the distance course system has been launched in different countries to ensure continuity of teaching during the period when courses are stopped. In order to shed light on the role of distance learning during the spread of the coronavirus and its effectiveness in successfully continuing the learning process, an investigation was carried out in the Moroccan context. This survey was launched as a questionnaire with 565 participants; they are students and teachers from primary, secondary, university and professional training. The objective is to answer several research questions concerning the current use of distance education during the COVID19 pandemic. The results of this survey are presented in this article as well as their analysis showing that solutions and alternatives must be adopted in order to improve the teaching and learning process in the event of a situation like COVID19.</p>

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Section: Resultsmentioning

confidence: 99%

A survey of distance learning in Morocco during COVID19

Ouahabi¹,

Guemmat²,

Azouazi³

et al. 2021

IJEECS

View full text Add to dashboard Cite

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“…During the last decade, several works have been done on TEL with the aim of improving the quality of e-learning through the collection and analysis of the LMS data in order to give the users good insight about the interaction traces of learners with the learning system. Thus, several techniques and methods have been used for the traces analysis to create adaptive e-learning systems, such as: Ontology [10], Cloud Computing [11], Trace-Based System [12] and also Data Mining [13].…”

Section: Related Workmentioning

confidence: 99%

New Pre-Processing Approach Based on Clustering Users Traces According to their Learning Styles in Moodle LMS

Aitdaoud¹,

Namir²,

Talbi³

2023

Int. J. Emerg. Technol. Learn.

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Nowadays, many Moroccan universities and institutions start offering training and online courses "E-learning". Which accumulate a vast amount of information that is very valuable for analyzing students’ behavior and could create a gold mine of educational data. However, handling the vast quantities of data generated daily by the learning management systems (LMS) such as Moodle has become more and more complicated. This massive data can be used to improve decision making and management, which requires a proper extracting and cleaning methods. The purpose of this paper is to suggest a new approach for the preprocessing of the execution traces generated during the interaction of learners with the Moodle LMS and especially the educational content in SCORM format. In this study, we built two experimental corpus with the learning platform Moodle. Using the data generated by the experimental corpus, we applied the Clustering data mining technique as a preprocessing step in our process discovery. Hence, students with similar learning styles or performance levels are grouped together which should help us to build a partial process model (learning process) that are easier to understand for the decision makers.

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“…However, the implementation of systems in the cloud didn't cover modeling of education by IMS-LD. Our study is focused in this area to analyze the contribution of modeling in Cloud computing which is rich in terms of teaching and learning resources architecture [17].…”

Section: A Description Of Our Approach Of Educational Modeling In The...mentioning

confidence: 99%

Implementation of a Novel Educational Modeling Approach for Cloud Computing

Ouahabi

Eddaoui

Labriji

et al. 2014

Int. J. Emerg. Technol. Learn.

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The Cloud model is cost-effective because customers pay for their actual usage without upfront costs, and scalable because it can be used more or less depending on the customers’ needs. Due to its advantages, Cloud has been increasingly adopted in many areas, such as banking, e-commerce, retail industry, and academy. For education, cloud is used to manage the large volume of educational resources produced across many universities in the cloud. Keep interoperability between content in an inter-university Cloud is not always easy. Diffusion of pedagogical contents on the Cloud by different E-Learning institutions leads to heterogeneous content which influence the quality of teaching offered by university to teachers and learners. From this reason, comes the idea of using IMS-LD coupled with metadata in the cloud. This paper presents the implementation of our previous educational modeling by combining an application in J2EE with Reload editor that consists of modeling heterogeneous content in the cloud. The new approach that we followed focuses on keeping interoperability between Educational Cloud content for teachers and learners and facilitates the task of identification, reuse, sharing, adapting teaching and learning resources in the Cloud.

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Using IMS LD Specification for e-Learning in the Cloud Computing

Cited by 4 publications

References 8 publications

A survey of distance learning in Morocco during COVID19

A survey of distance learning in Morocco during COVID19

New Pre-Processing Approach Based on Clustering Users Traces According to their Learning Styles in Moodle LMS

Implementation of a Novel Educational Modeling Approach for Cloud Computing

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