Analysis of an E-learning Platform use by Means of the Axiomatic Design

Dodun, Oana; Panaite, Ema Carmen; Seghedin, Nicolae; Nagîţ, Gheorghe; Duşa, Petru; Neştian, Gabriela; Slătineanu, Laurenţiu

doi:10.1016/j.procir.2015.07.059

Cited by 14 publications

(8 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The results of this research can answer the limitations of Dodun et al [28], Ouadoud et al [29], and Chivu et al [30] by showing the calculation process using the DIVAYANA formula in determining the priority platform that is most suitable as an online learning support facility. Besides the advantages shown from the results of this research, there are also limitations found in this research.…”

Section: Notes: Dmentioning

confidence: 72%

“…Besides some of the studies above, the limitations of several previous studies have also been the trigger for the presence of this research. Limitation of the research that was conducted by Dodun et al in 2015 [28], showed there is no mathematical and specific formula used in the calculation process to determine Moodle as the most suitable platform for e-learning based online learning. Limitation of the research that was conducted by Ouadoud et al in 2016 [29] showed there is not yet demonstrated the use of mathematical formulas in the calculation process to determine the best platform for using as a facility that supports online learning.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Based on the limitations in the research of Dodun et al [28]; Ouadoud et al [29]; and Chivu et al [30]; it appears that innovation in the form of the DIVAYANA formula has a contribution and is suitable for solving problems/limitations in those studies. That is because the DIVAYANA formula is presented to show a mathematical calculation process in determining the priority platform.…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Utilization of DIVAYANA Formula in Evaluating of Suitable Platforms for Online Learning in the Social Distancing

Divayana

2020

Int. J. Interact. Mob. Technol.

View full text Add to dashboard Cite

The selection of a suitable platform to facilitate online learning in social distancing becomes a very important thing to maintain the quality and smoothness of the learning process was carried out at home. Some educational evaluation models were able to be used to provide recommendations in choosing an online learning platform that was suitable to use in social distancing, such as CIPP, Countenance, and CSE-UCLA. However, those models are only able to provide recommendations based on narrative evaluation components so raised different understandings and high subjectivity in its implementation in the field. Those models haven’t formulas that specifically and accurately provide quantitative results in determining the most priority platforms is used in online learning. Therefore, it is essential to know there is a new formula in the field of educational evaluation to determine the suitable platform for online learning that is done at home. One of the new formulas that can be used and contributed to solving problems in the field of educational evaluation is the DIVAYANA formula. This formula can show an accurate calculation mechanism in determining one of the platforms that the most priority from the various choices of online learning platforms. The purpose of this research was to show the mechanism for calculating the DIVAYANA formula to determine the priority platform suitable for online learning. This research used an evaluative approach that focused on the nominate stage in the DIVAYANA model because the DIVAYANA formula is located in that nominate stage. Eighty respondents were involved in the initial data collection by evaluating the platform selection criteria for online learning. The subjects who were involved in testing the effectiveness of the DIVAYANA formula were eight experts. Questionnaires were used as the initial data collection tools and testing tools for the effectiveness of the DIVAYANA formula. The method was used to analyze the data of effectiveness test results on the DIVAYANA formula was by comparing that test results with the effectiveness standard that refers to five scales. The results of the effectiveness test showed the percentage of effectiveness level was 89.79%. It means that the DIVAYANA formula is effective to use in determining priority platforms suitable for online learning at home.

show abstract

Section: Notes: Dmentioning

confidence: 72%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Utilization of DIVAYANA Formula in Evaluating of Suitable Platforms for Online Learning in the Social Distancing

Divayana

2020

Int. J. Interact. Mob. Technol.

View full text Add to dashboard Cite

show abstract

“…In paper [23] was presented a study about using e-learning platform in university teaching process. The Moodle platform, which was proposed and initially developed by Martin Dougiamas, improves the didactic process by helping professors to generate and publish online content [24]. However in e-learning platforms there are many important elements that must be taken into account: authentication, access control, data integrity, content protection, etc.…”

Section: Introductionmentioning

confidence: 99%

Neuro-fuzzy assessment of pupil performance based on e-learning platform implementation

Petković¹,

Denić²

2020

JIEC

View full text Add to dashboard Cite

Learning and teaching process for the both, learners and teachers, could be challenging task since every learner has different cognitive preconditions. Hence every learner should have different learning material and different learning paths in order to achieve given learning goals. In this article was made an e-learning platform for teacher and learners based on object-oriented approach. In the platform every learner could has personalized learning contents based on the learners' background. The personalized learning contents could be achieved by different learning paths for each learner. Object-oriented technique by unified modelling language (UML) was performed for the modelling process of the learning platform. Afterwards the pupil performance was analyzed after the introduction of the e-learning platform by computational intelligence approach.

show abstract

“…É percebido que há uma forte adoção desses AVA no mundo. Estes são utilizados extensivamente pelas IES (Ekuase-Anwansedo et al, 2018) a exemplo do Moodle que além de ser fácil de usar, de gerar conteúdo, engajar discente e sem necessidade de adquirir licenças, tem sido constantemente melhorado por especialistas técnicos (Dodun et al, 2015), sendo o mais adequado pelos quesitos de modularidade, popularidade, disponibilidade de plugins e por contar com uma forte comunidade de desenvolvedores (Medio et al, 2017).…”

Section: Introductionunclassified

Ações docentes nos Ambientes Virtuais de Aprendizagem proporcionadas pelas ferramentas de Learning Analytics

Júnior¹,

Mercado²

2019

RIEOEI

View full text Add to dashboard Cite

Percebe-se que há uma relevante adoção dos ambientes virtuais de aprendizagem (AVA) na educação superior, em especial na modalidade a distância. Estes ambientes, com o apoio do Big Data, podem proporcionar ações para a prática avaliativa docente a partir de ferramentas que contemplem os objetivos da learning analytics (LA), segundo modelos e ciclos de vida já definidos na literatura. Neste estudo foi desenvolvida a consolidação de dez possíveis ações docentes a partir destas ferramentas, modelos e ciclos de vida, tendo como objetivo a confrontação destas ações com docentes envolvidos oriundos de instituições de ensino superior (IES) que atuam na educação a distância (EaD) evidenciando-as através de um experimento onde utilizaram seis destas ferramentas de perfil docente em suas respectivas disciplinas no AVA Moodle. Para coleta, foram utilizados dois questionários semi-estruturados (pré e pós-experimento). Ficou caracterizado como resultados deste estudo que as ferramentas que tiveram maior destaque para ações de LA foram: Completion Progress (18,5%), Course Dedication (18,1%) e Level Up! (17,8%), já as ações de LA com maiores graus de destaque foram: “monitoramento” (17,4%), seguido por “avaliação/feedback” (13,0%) e “intervenção” (12,0%), havendo assim, compatibilidade com o propósito de atingir a prática avaliativa dentro dos AVA a partir destas ferramentas.

show abstract

Analysis of an E-learning Platform use by Means of the Axiomatic Design

Cited by 14 publications

References 3 publications

Utilization of DIVAYANA Formula in Evaluating of Suitable Platforms for Online Learning in the Social Distancing

Utilization of DIVAYANA Formula in Evaluating of Suitable Platforms for Online Learning in the Social Distancing

Neuro-fuzzy assessment of pupil performance based on e-learning platform implementation

Ações docentes nos Ambientes Virtuais de Aprendizagem proporcionadas pelas ferramentas de Learning Analytics

Contact Info

Product

Resources

About