An empirical comparison of models for dropout prophecy in MOOCs

Periwal, Nidhi; Rana, Keyur

doi:10.1109/ccaa.2017.8229935

Cited by 4 publications

(4 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Effectiveness has many side effects which reflect efficiency and user satisfaction affect user relationship types of e-learning. They strongly state that usability factors finally lead to lack of continuity which increased the dropout rates of e-learning programs (Bawa, 2016;Gortan and Jereb, 2014;Levy, 2014;Martinez, 2003;Periwal and Keyur, 2017;Berndt et al, 2017b). Before commencing the review, this study assumed that e-learning has cross referred usability and user satisfaction in several occasions.…”

Section: Usability Attributes Cited By Studiesmentioning

confidence: 99%

The role of usability on e-learning user interactions and satisfaction: a literature review

Gunesekera

Bao²,

Kibelloh

2019

JSIT

View full text Add to dashboard Cite

Purpose The purpose of this study is to review the effect of usability factors on e-learning user relationships, namely, student–student interaction (SSI), student–instructor interaction (SII) and student–content interaction (SCI), in the existing e-learning literature. Further, this study intended to identify whether usability contributes to the satisfaction of e-learners. Design/methodology/approach This study has undertaken a systematic review using the PRISMA methodology to filter the literature in the domain of e-learning with respect to usability concerns using six databases. An analytical framework has been formulated to evaluate the literature against different dimensions of interactions and usability. Findings Results reveal that while SSI has grabbed 71.4 per cent research attention with respect to usability factors of e-learning systems, SCI has been given the least focus, i.e. 26.6 per cent. According to the results, e-learning systems’ usability issues influence the user relationships and affect the user satisfaction, which will lead to lack of user continuity. Practical implications The findings of this review will provide insights to instructional designers to construct more satisfied learning content for the users. The analysis framework of this study will encourage researchers to drive future research in e-learning along with the concern of usability. Originality/value This research emphasizes on the importance of SCI to focus future e-learning research on a different angle, in addition to SSI and SII. The analysis framework of this study will provide different dimensions, specifically for the empirical research in the domain of e-learning.

show abstract

Section: Usability Attributes Cited By Studiesmentioning

confidence: 99%

The role of usability on e-learning user interactions and satisfaction: a literature review

Gunesekera

Bao²,

Kibelloh

2019

JSIT

View full text Add to dashboard Cite

show abstract

“…Determinar a causa da evasão é uma tarefa complexa pois envolve muitas variáveis. Alguns trabalhos dedicaram-se a prever a evasão estudantil em universidades, analisando fatores de contextos diversos tanto de cursos online, como os Massive Open Online Course (MOOC) [Liang et al 2016], [Periwal and Rana 2017], quanto de estudantes da Universidade [Costa et al 2020]. Isso demonstra a amplitude do tópico, atingindo numerosos cenários acadêmicos de formas diferentes.…”

Section: Evasãounclassified

Dropoutless: plataforma colaborativa de predição de evasão

Vossen

Santos

Frigo

et al. 2023

Anais Do XVIII Simpósio Brasileiro De Sistemas Colaborativos (SBSC 2023)

View full text Add to dashboard Cite

A evasão estudantil é um problema recorrente que afeta diversas esferas da sociedade, representando um desperdício de recursos para o Estado e uma queda da mão de obra qualificada para as empresas. Neste artigo é proposta uma plataforma colaborativa, nomeada Dropoutless, cujo objetivo é reduzir a evasão em disciplinas universitárias através da criação de modelos de predição de forma coparticipativa utilizando técnicas de AutoML. Como resultado, a ferramenta proposta permite uma flexibilização nos dados utilizados na predição de evasão e promove o protagonismo dos educadores na mudança desse cenário.

show abstract

“…Romero and Ventura (Romero and Ventura, 2017) presents a comprehensive overview of the data management applications that are used to analyze MOOCs. Periwal and Rana (Periwal and Rana, 2017) presented 4 models for dropout prophecy in MOOCs. After an empirical analysis and evaluation of these models, Periwal and Rana (Periwal and Rana, 2017) concluded that for imbalance MOOC class data the model created by the naive Bayes technique is more appropriate.…”

Section: Introductionmentioning

confidence: 99%

“…Periwal and Rana (Periwal and Rana, 2017) presented 4 models for dropout prophecy in MOOCs. After an empirical analysis and evaluation of these models, Periwal and Rana (Periwal and Rana, 2017) concluded that for imbalance MOOC class data the model created by the naive Bayes technique is more appropriate. Cook (Cook, 2017), Shahzad et al (Shahzad et al, 2020), Fidalgo-Blanco et al (Fidalgo-Blanco et al, 2016) suggested a methodology for modeling the audience of learners for MOOC.…”

Section: Introductionmentioning

confidence: 99%

Proceedings of the 1st Symposium on Advances in Educational Technology - Volume 2: AET

Семеріков¹,

Osadchyi²,

Kuzminska³

2022

View full text Add to dashboard Cite

Symposium on Advances in Educational Technology (AET) is a peer-reviewed international conference focusing on research advances and applications of combined use of computer hardware, software, and educational theory and practice to facilitate learning. Today, AET is the premier interdisciplinary forum for learning scientists, academicians, researchers, professionals, policymakers, postgraduate students, and practitioners to present their latest research results, ideas, developments, and applications. AET topics of interest are: • Artificial intelligence in education • Augmented reality in education • Cloud-based learning environments • Cloud technologies for mathematics learning • Cloud technologies for informatics learning • Computer simulation in science and mathematics learning • ICT in primary and secondary education • ICT in higher education • Learning environments • Learning technology • Professional training in the digital space • Massive open online courses • Methodology of informatization in education • Modelling systems in education • Psychological safety in the digital educational environment • Soft skills development • STEM education • Virtualization of learning This volume represents the proceedings of the Symposium on Advances in Educational Technology, held in Kyiv, Ukraine, on November 12-13, 2020. It comprises 110 contributed papers that were carefully peer-reviewed and selected from 282 submissions. Each submission was reviewed by at least 3, and on the average 3.1, program committee members. The accepted papers present a state-of-the-art overview of successful cases and provide guidelines for future research. We are thankful to all the authors who submitted papers and the delegates for their participation and their interest in AET as a platform to share their ideas and innovation. Also, we are also thankful to all the program committee members for providing continuous guidance and efforts taken by peer reviewers contributed to improve the quality of papers provided constructive critical comments, improvements and corrections to the authors are gratefully appreciated for their contribution to the success of the workshop. Moreover, we would like to thank the developers of HotCRP, who made it possible for us to use the resources of this excellent and comprehensive conference management system, from the call of papers and inviting reviewers, to handling paper submissions, communicating with the authors, and creating the volume of the workshop proceedings.

show abstract

An empirical comparison of models for dropout prophecy in MOOCs

Cited by 4 publications

References 11 publications

The role of usability on e-learning user interactions and satisfaction: a literature review

The role of usability on e-learning user interactions and satisfaction: a literature review

Dropoutless: plataforma colaborativa de predição de evasão

Proceedings of the 1st Symposium on Advances in Educational Technology - Volume 2: AET

Contact Info

Product

Resources

About