Student Performance in E-Learning Environments

2011 ◽  
pp. 149-194
Author(s):  
Constanta-Nicoleta Bodea ◽  
Vasile Bodea ◽  
Ion Gh. Rosca ◽  
Radu Mogos ◽  
Maria-Iuliana Dascalu
Keyword(s):  
Data Mining ◽  
Student Performance ◽  
Learning Environments ◽  
Business Administration ◽  
Data Sources ◽  
Future Developments ◽  
Learning Platform ◽  
E Learning ◽  
The Relationship ◽  
Economic Studies

The aim of this chapter is to explore the application of data mining for analyzing performance and satisfaction of the students enrolled in an online two-year master degree programme in project management. This programme is delivered by the Academy of Economic Studies, the biggest Romanian university in economics and business administration in parallel, as an online programme and as a traditional one. The main data sources for the mining process are the survey made for gathering students’ opinions, the operational database with the students’ records and data regarding students activities recorded by the e-learning platform are. More than 180 students have responded, and more than 150 distinct characteristics/ variable per student were identified. Due the large number of variables data mining is a recommended approach to analysis this data. Clustering, classification, and association rules were employed in order to identify the factor explaining students’ performance and satisfaction, and the relationship between them. The results are very encouraging and suggest several future developments.

Assessing the impact of cultural characteristics, economic situations, skills and knowledge on the development and success of cloud-based e-learning systems in the COVID-19 era

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Luyan Teng ◽  
Qinyi Tan ◽  
Ali Ehsani
Keyword(s):  
Cloud Computing ◽  
Learning System ◽  
Educational Institutions ◽  
Cultural Characteristics ◽  
Content Type ◽  
Learning Platform ◽  
E Learning ◽  
Training Courses ◽  
The Impact ◽  
The Relationship

PurposeOne of the most significant threats of COVID-19 in the world is the closure of universities, schools, training courses and even companies and organizations. In such a situation and with the free time that has arisen, this threat of education closure can become a golden opportunity for learning and progress in virtual education. E-learning uses information technology (IT) to distribute knowledge and information for training and education. Also, cloud computing is a technology utilized in the IT domain. It can be employed in performing e-learning. Therefore, the main goal of this study is to assess the impact of cultural characteristics, economic situations, skills and knowledge on the development and success of CELS in the COVID-19 era.Design/methodology/approachCloud-based e-learning system (CELS) provides all e-learning requirements like software and hardware resources to promote conventional e-learning technologies. The CELS stands on several factors of diverse aspects that have been of high significance in CELS success. So, these systems must be checked to analyze their significance rate and successfully carry out their effectiveness. On the other hand, these days, the 2019 coronavirus disease (COVID-19) changes our daily lifestyles. Therefore, the present investigation provides a new model investigating the development and success of CELS in the COVID-19 era. Also, an online questionnaire was used to gather the data. The content validity of the questionnaire was obtained by applying the opinions of ten experts from e-learning specialists. The collected data are analyzed using LISREL and Smart PLS software.FindingsThe results from the path coefficient and the sample t-test have implied that skills and knowledge positively influence CELS in the COVID-19 era. In addition, the relationship between cultural characteristics and CELS in the COVID-19 era has been positive and significant. The relationship between the economic situations and the CELS in the COVID-19 era is positive and significant.Practical implicationsThe proposed model helps managers get a big picture of CELS necessities and more effectively in the COVID-19 era. This research has a unique impact on universities to develop an e-learning platform to facilitate the education process in the COVID-19 era. It provides guidelines for educational institutions to effectively implement the learning management system to facilitate students' education.Originality/valueCELS are getting increasingly essential to offer training courses more efficiently in educational institutions. Although the intersection between cloud computing and e-learning has increasingly grown in both practical and academic contexts, few studies on the impact of cultural characteristics, economic situations, skills and knowledge on the development and success of CELS in the COVID-19 era. This paper explores the ignored but critically important subject of CELS. This paper's main contribution is to present a new and integrated model containing the essential aspects of the development and success of CELS in the COVID-19 era. The proposed framework comprises cultural characteristics, economic situations, skills and knowledge aspects simultaneously, as well as sub-criteria denoting each element.

Future Developments of E-Modules

2013 ◽  
pp. 147-153
Author(s):  
Alina Christova
Keyword(s):  
Higher Education ◽  
European Union ◽  
Learning Tools ◽  
Transfer Of Knowledge ◽  
Content Structure ◽  
Knowledge And Skills ◽  
Future Developments ◽  
Learning Platform ◽  
Interactive Tools ◽  
E Learning

E-learning tools can be found on an occasional basis in higher education, in particular regarding social sciences. This paper concentrates on envisaged future developments of E-Modules, the innovative e-learning platform on European Union matters created by the Institute for European Studies, which is an autonomous department of the Free University Brussels. First, it provides an overview of the strategy and the concept of E-Modules as well as content, structure and main features of the e-learning tool including best practices and current challenges. The author also explores in depth the role interactive tools and multimedia can play in enhancing the transfer of knowledge and skills to the users of the E-Modules.

A Conceptual Educational Data Mining Model for Supporting Self-Regulated Learning in Online Learning Environments

2021 ◽  
pp. 278-292
Author(s):  
Eric Araka ◽  
Robert Oboko ◽  
Elizaphan Maina ◽  
Rhoda K. Gitonga
Keyword(s):  
Data Mining ◽  
Online Learning ◽  
Learning Environments ◽  
Domain Knowledge ◽  
Educational Data Mining ◽  
Online Learning Environments ◽  
Student Activities ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
E Learning

Self-regulated learning is attracting tremendous researches from various communities such as information communication technology. Recent studies have greatly contributed to the domain knowledge that the use self-regulatory skills enhance academic performance. Despite these developments in SRL, our understanding on the tools and instruments to measure SRL in online learning environments is limited as the use of traditional tools developed for face-to-face classroom settings are still used to measure SRL on e-learning systems. Modern learning management systems (LMS) allow storage of datasets on student activities. Subsequently, it is now possible to use Educational Data Mining to extract learner patterns which can be used to support SRL. This chapter discusses the current tools for measuring and promoting SRL on e-learning platforms and a conceptual model grounded on educational data mining for implementation as a solution to promoting SRL strategies.

Future Developments of E-Modules

2011 ◽  
Vol 3 (1) ◽  
pp. 22-28
Author(s):  
Alina Christova
Keyword(s):  
Social Sciences ◽  
Best Practices ◽  
Learning Tools ◽  
Transfer Of Knowledge ◽  
Content Structure ◽  
Knowledge And Skills ◽  
Future Developments ◽  
Learning Platform ◽  
Interactive Tools ◽  
E Learning

E-learning tools can be found on an occasional basis in higher education, in particular regarding social sciences. This paper concentrates on envisaged future developments of E-Modules, the innovative e-learning platform on European Union matters created by the Institute for European Studies, which is an autonomous department of the Free University Brussels. First, it provides an overview of the strategy and the concept of E-Modules as well as content, structure and main features of the e-learning tool including best practices and current challenges. The author also explores in depth the role interactive tools and multimedia can play in enhancing the transfer of knowledge and skills to the users of the E-Modules.

scholarly journals E-mentoring entre Professores e Alunos na EaD: um Estudo de Caso na Graduação em Administração de uma Instituição Pública Federal

EAD em FOCO ◽  
2016 ◽  
Vol 6 (3) ◽  
Author(s):  
Marcella Arianna Pinto de Oliveira ◽  
Sílvio Luiz de Paula ◽  
José Ricardo Costa de Mendonça ◽  
Andrezza Marianna Pinto de Oliveira
Keyword(s):  
Business Administration ◽  
The Other ◽  
Face To Face ◽  
Mentoring Relationship ◽  
Theoretical Approaches ◽  
Online Tools ◽  
Analysis Theory ◽  
E Learning ◽  
The Relationship

Busca-se neste trabalho sobre Educação a Distância compreender como se configuram as relações de e-mentoring entre professores e alunos no curso de graduação em Administração a distância oferecido por uma instituição pública federal brasileira. Como arcabouço teórico aborda-se o conceito de mentoria, suas características, funções e fases. Aborda-se ainda e-mentoring e Educação a Distância com suas características e relações. Realizou-se um estudo de caso; as técnicas de coleta foram entrevistas online com professores/alunos, observação não participante e análise documental, estudando-se os dados por meio de análise de conteúdo. Os resultados indicam que as relações de mentoria estabelecidas entre tutores e alunos configuram-se como e-mentoring, já que os tutores são mais acessíveis aos alunos e mantêm uma comunicação mais frequente, tanto por meio de diversas ferramentas de comunicação quanto por meio de encontros presenciais, além de fornecer apoio profissional e pessoal aos alunos. Já a relação estabelecida entre professores e alunos se configura como um outro tipo de relação, que não é de mentoria, pois as características não se enquadram nos conceitos desse construto.Palavras-chave: Educação, Educação a Distância (EAD), Ensino superior, Mentoria, E-mentoring. E-mentoring among Professors and Students on E-learning: This Case Study is about a Degree Course of Business Administration at Public InstitutionAbstractIn this research about e-learning, we try to understand how the e-mentoring relationship among Tutors and Students works in a Business Administration course offered at distance by a public Brazilian institution. As theoretical approaches, it is observed the concept of mentoring, its features, functions and phases. It also covers e-mentoring and distance education with its characteristics and relationships. A case study was made, the data collection techniques were an online interview with tutors/students, non-participative observation and documental analysis on content analysis theory. The results demonstrate that the mentoring relationship between Tutors and Students can be defined as e-mentoring: they are accessible to the students and keep intense communication on face-to-face meetings and also by the online tools provided on the course platform. On the other hand, the relationship established by Tutors and Students cannot be defined by e-mentoring due to lack of connections on the e-learning concepts.Keywords: Education, E-learning, Graduation degree, Mentoring, E-mentoring.

scholarly journals E-Learning: A Milestone in the Research of Data Mining

2012 ◽  
pp. 82-86
Author(s):  
Sabyasachi Pattnaik ◽  
Jui Pattnayak ◽  
Priyaranjan Dash
Keyword(s):  
Data Mining ◽  
Web Service ◽  
Learning Environments ◽  
System Architecture ◽  
Functional Model ◽  
Application Domain ◽  
Service Architecture ◽  
Web Based ◽  
Web Based Learning ◽  
E Learning

Data Mining and Data Warehousing are two most important techniques for pattern discovery and centralized data management in today’s technology. ELearning is one of the most significant applications of data mining. The main objective is to provide a proposal for a functional model and service architecture. The standards and system architecture are analyzed here. This paper gives importance to the integration of Web Services on the e-Learning application domain, because Web Service is the most advanced choice for distance education now. The process of e-Learning can be possible more effectively with the help of Web usage mining. More advanced tools are developed for online customer’s behaviour to increase sales, and profit, but no such tools are developed to understand learner’s behaviour in e-Learning. In this paper, some data mining techniques are discussed that could be used to enhance web-based learning environments.

scholarly journals Student Performance on an E-Learning Platform: Mixed Method Approach

2020 ◽  
Vol 15 (02) ◽  
pp. 187 ◽  
Author(s):  
Slavko Rakic ◽  
Nemanja Tasic ◽  
Ugljesa Marjanovic ◽  
Selver Softic ◽  
Egon Lüftenegger ◽  
...  
Keyword(s):  
Student Performance ◽  
Mixed Method ◽  
Digital Technologies ◽  
Learning System ◽  
Educational Systems ◽  
Learning Platform ◽  
E Learning ◽  
System Data ◽  
Novi Sad ◽  
Key Indicators

E-learning is considered a leading application of digital technologies in educational systems. The aim of the paper is to explore the utilization and impact of digital technologies on an e-learning platform. For this purpose, research was conducted at the Moodle learning management system. Data from the e-learning platform were empirically evaluated in order to find key indicators of student performance in different courses. Student success with the e-learning system was evaluated using a mixed-method: Social Network Analysis, K-Means Clustering, and Multiple Linear Regression. The research was conducted at the University of Novi Sad, Faculty of Technical Sciences, Serbia. The results indicate a significant relationship between the performance of students and the use of digital educational resources from the e-learning platform.

scholarly journals A Matrixulation Method for Mapping an E-learning Platform Designer’s Conception of Learning: A Pilot Study

10.28945/2790 ◽  
2004 ◽  
Author(s):  
Ari Marko Sievanen
Keyword(s):  
Pilot Study ◽  
Learning Environments ◽  
Knowledge Construction ◽  
Learning Theories ◽  
Conceptions Of Learning ◽  
Learning Platform ◽  
Individual Perceptions ◽  
The Matrix ◽  
E Learning ◽  
Knowledge Adoption

This paper presents a method for analyzing human conceptions related to e-learning, based on positioning data on what is called here a learning matrix. The set of dimensions comprising the matrix distinguish between emphasis on individuality and sociality in learning, between viewing learning as knowledge adoption and as knowledge construction, and between viewing learning as subjective and as objective to time. The learning matrix is used to visualize and compare conceptions of learning extracted from literature and from individual perceptions of learning, revealed through interviews. This study supports the development of e-learning environments and casts light on different conceptions of learning. In addition deriving and representing the learning matrix, the paper positions 13 learning theories on it. A concluding analysis of an interview with an e-learning platform designer implies that while certain aspects of a designer’s conception of learning relate to learning theories, the overall conception remains unique and dynamic.

scholarly journals Analysing the relationship between learning styles and navigation behaviour in web-based educational system

2010 ◽  
pp. 400-421 ◽  
Keyword(s):  
Learning Styles ◽  
Computer Science ◽  
Learning Style ◽  
Web Based ◽  
Learning Platform ◽  
Web Based Learning ◽  
Index Of Learning Styles ◽  
Type Indicator ◽  
E Learning ◽  
The Relationship

The aim of our research is to automatically deduce the learning style from the analysis of browsing behaviour. To find how to deduce the learning style, we are investigating, in this paper, the relationships between the learner’s navigation behaviour and his/her learning style in web-based learning. To explore this relation, we carried out an experiment with 27 students of computer science at the engineering school (ESI-Algeria). The students used a hypermedia course on an e-learning platform. The learners’ navigation behaviour is evaluated using a navigation type indicator that we propose and calculate based on trace analysis. The findings are presented with regard to the learning styles measured using the Index of Learning Styles by (Felder and Solomon 1996). We conclude with a discussion of these results.

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