A Standard-Based Model For Adaptive E-Learning Platform For Mauritian Academic Institutions

Kanaksabee, P.; Odit, Mohun Prasadsing; Ramdoyal, A.

doi:10.19030/jier.v7i1.3541

Cited by 3 publications

(3 citation statements)

References 8 publications

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“…Some can assimilate knowledge in a better way when received auditory, visually or through another sense [25]. Traditional teaching styles tend to use one of these presentations more than others [26]. It is extremely difficult for a teacher to apply all multiple teaching strategies in a classroom.…”

Section: -Assessment Procedures Should Be Embedded In the Learning Pmentioning

confidence: 99%

A Novel Adaptive Mobile E-Learning Model

AbouEl-FetouhS¹,

El-Bakry²

2013

IJCA

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Adaptive E-Learning has become an important topic. It gives the student a central role in his/her own learning process. It allows students to try things out, participate in courses, tests and simulations like never before, and get more out of learning than before. On the other hand, mobile E-Learning has many advantages that contribute in enhancing and facilitating the learning process. In this paper, an adaptive mobile E-Learning (AME-Learning) model for system numbers, logic design, simplification of Boolean functions and related fields is presented. Such model presents suitable courses for each student in a dynamic and adaptive manner using existing database and workflow technologies. The presented model generates suitable units for each student in a dynamic form. Even the choice of effective E-Learning tools is seemingly endless. The main objective of this research work is to provide an AME-Learning model on based learners' personality using explicit and implicit feedback. To recognize the learner's style and profile, the dimensions given by both Felder-Silverman learning style model and our previous work [24-29] are developed. This is important to decide each individual learning style in order to accommodate different abilities for each student and develop his/her vital skills. Thus, the proposed model becomes more powerful, user friendly and easy to use and interpret. Finally, it suggests a learning strategy and appropriate electronic media that match the learner's preference. The proposed environment is designed by using Visual Basic for modeling and Microsoft word for creating materials.

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Section: -Assessment Procedures Should Be Embedded In the Learning Pmentioning

confidence: 99%

A Novel Adaptive Mobile E-Learning Model

AbouEl-FetouhS¹,

El-Bakry²

2013

IJCA

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“…Some of them prefer to read, some prefer to listen, others use the third type of sense (Tamura, Yamamuro and Okamoto, 2006). Traditional teaching tends to use only one of these three teaching strategies since it is impossible to use all of them in the classroom (Kanaksabee, Odit and Ramdoyal, 2011). Rukanuddin, Hafiz and Asfia (2016) pointed out that individual students' preferences influence their learning achievements and performance.…”

Section: Introductionmentioning

confidence: 99%

The Effects and Effectiveness of An Adaptive E-Learning System on The Learning Process and Performance of Students

Ristić¹,

Runić-Ristić²,

Tot³

et al. 2023

IJCRSEE

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Students acquire learning material in different ways. Some prefer to read, some prefer to listen, others use the third type of sense. Traditional teaching uses only one of these teaching strategies since it is impossible to use all of them in the classroom. However, these days, adaptive e-learning systems enable learning material to be customized to the individual needs of learners. For the purpose of this paper, the researchers designed a model of the adaptive learning management system and implemented it in Moodle. The system was evaluated on 228 students. The incorporation of learning styles in Moodle is based on the VAK learning style model. The authors analysed the effects and effectiveness of an adaptive e-learning system. It was discovered that there are significant differences in learning effectiveness, satisfaction and motivation when students use an adaptive e-learning module in comparison to a standard e-learning module. Moreover, we investigated the durability of knowledge acquired with an adaptive e-learning system by comparing the performance of students not only after the completion of the course but also a month after the course. The results of the research confirmed the authors’ expectations and showed that an adaptive e-learning system can increase students’ learning results. So far, to our knowledge, no study has evaluated the performance between a control and experiment group a few months after the completion of the course, i.e. by analysing the durability of knowledge acquired through an adaptive e-learning system. Moreover, the motivation of students to continue using an adaptive e-learning system hasn’t been analysed until now.

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“…Some can assimilate knowledge in a better way when received auditory, visually or through another sense [1]. Traditional teaching styles tend to use one of these presentations more than others [2]. It is extremely difficult for a teacher to apply all multiple teaching strategies in a classroom.…”

Section: Introductionmentioning

confidence: 99%

Adaptive E-Learning Based on Learner's Styles

El-Bakry

Saleh

2013

Bulletin EEI

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In this paper, a new model for adaptive e-learning based on learner's styles is presented. In the previous work, the dimensions of learner's styles given by Felder-Silverman did not consider some important issues of the learner himself. Here, new learner's parameters such as his social environment, health conditions, psychological and economical states are taken into account. Such parameters greatly affect the ability of student to learn and understand. Therefore, in order to perfectly recognize the ability of the student to be interactive in the leaning environment and accept information, new learner's styles are added to the dimensions of Felder-Silverman learning style model and our previous work [24]. The new proposed model is applied for logic gates and functions used in data encoding and computer networks. Such model presents suitable courses for each student in a dynamic and adaptive manner using existing database and workflow technologies. Furthermore, it is powerful, user friendly and easy to interpret. Moreover, it suggests a learning strategy and appropriate electronic media that match the learner’s preference.

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A Standard-Based Model For Adaptive E-Learning Platform For Mauritian Academic Institutions

Abstract: The key aim of this paper is to introduce a standard-based model

Cited by 3 publications

References 8 publications

A Novel Adaptive Mobile E-Learning Model

A Novel Adaptive Mobile E-Learning Model

The Effects and Effectiveness of An Adaptive E-Learning System on The Learning Process and Performance of Students

Adaptive E-Learning Based on Learner's Styles

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