A Framework to Incorporate Quality Aspects for e-Learning System in a Consortium Environment

Zaman, Wasefer; Ghosh, Partha Pratim; Datta, Kalyankumar; Basu, Pramatha Nath

doi:10.7763/ijiet.2012.v2.100

Cited by 6 publications

(4 citation statements)

References 3 publications

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“…Another group of researchers defines more components for the quality of the learning process in distance learning. According to Zaman, Ghosh, Datta and Basu [34], the quality of e-learning depends on the quality of the learning content, the quality of the learning management system from a technological point of view (ease of use, reliability, etc.) and www.ijacsa.thesai.org the quality of services (support of e-learning participants).…”

Section: Quality Of Distance Learning: Definitionsmentioning

confidence: 99%

Approaches and Tools for Quality Assurance in Distance Learning: State-of-play

Gaftandzhieva,

Doneva,

Jagatheesaperumal

2023

IJACSA

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In recent years, distance learning has become an increasingly popular mode of education due to its flexibility and accessibility. However, the quality of distance learning programs has been a cause for concern, which has led to the development of various approaches and tools for quality assurance and assessment. This review article aims to provide an in-depth analysis of the current state of play of quality assurance in distance learning. The paper discusses the fundamental requirements to establish quality in distance learning and the challenges associated with ensuring quality in this mode of education. Then it explores the different approaches and tools used for quality assurance and assessment, such as course evaluations, self-assessments, and external reviews. In addition, the paper delves into the development of regulatory documents and manuals for quality assurance, which are essential for ensuring that distance learning programs adhere to established standards. It also discusses in detail the importance of audits and accreditations from assessment organizations in assuring quality in distance learning. As the satisfaction of all stakeholders (including students, faculty, and administrators) is crucial for ensuring the success of distance learning programmes, the paper highlights the various measures HEIs can take to ensure stakeholder satisfaction. Finally, the article discusses the processing of statistical data and performance indicators, which can provide valuable insights into the effectiveness of distance learning programmes.

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Section: Quality Of Distance Learning: Definitionsmentioning

confidence: 99%

Approaches and Tools for Quality Assurance in Distance Learning: State-of-play

Gaftandzhieva,

Doneva,

Jagatheesaperumal

2023

IJACSA

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“…The transition to online mode, on the other hand, has raised several concerns about educational content [ 4 ]. Research by Zaman et al [ 5 ] indicates that distance learning success depends on a variety of variables, such as study modules, user interface and support. Distance learning success regarding the quality of discussions can be improved using the beneficial effects of online participation.…”

Section: Introductionmentioning

confidence: 99%

Selection of suitable distance education platforms based on human–computer interaction criteria under fuzzy environment

Adem

Çakıt

Dağdeviren

2022

Neural Comput & Applic

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The rapid spread of the COVID-19 pandemic has affected not only the health industry but also the education sector. E-learning systems have recently become a compulsory part of all education institutions, including schools, colleges, and universities worldwide because of the COVID-19 pandemic crisis. The objectives of the current study were twofold: (1) to conduct an analytical approach for ranking of distance education platforms based on human–computer interaction criteria and (2) to identify the most appropriate distance learning platform for teaching and learning activities by using multi-criteria decision-making approaches. Selection criteria were grouped into human–computer interaction-related criteria, such as ease of use, possibility of causing mental workload, user-friendly interface design, presentation method, and interactivity. In the selection procedure, a spherical fuzzy extension of Analytical Hierarchy Process was utilized to identify the weights of selection criteria and to rank distance education platforms. The results revealed that the most important criterion was the possibility of causing mental workload while the most preferable e-learning system was identified as “A3”.

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“…Some companies and organizations do not afford the number of trainers due to some financial problems, so they implement the concept of E-learning due to its potential benefits such as cost saving, improving the learning contents and reducing the role of face-to-face learning. According to Zaman et al (2012), the success of E-learning systems depends on content, service and system. Now a day, the popularity of E-learning websites has grown at a very rapid rate, so it becomes more difficult to select the best E-learning website among the available ones.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy multi-attribute decision making evaluation of e-learning websites using FAHP, COPRAS, VIKOR, WDBA

Garg¹,

Jain²

2017

10.5267/j.dsl

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The present paper emphasizes on the development of a hierarchical model using Fuzzy Multiple Attribute Decision Making (FMADM) method for the selection of E-learning websites. The working of the model developed in this research mainly consists of three steps: (i) Summarization and identification of selection indexes, (ii) Selection indexes weights calculations using Fuzzy Analytical Hierarchy Process (FAHP) and (iii) Ranking of alternatives by implementing three MADM analytical methods as Complex Proportional Assessment (COPRAS), Visekriterijumsko Kompromisno Rangiranje (VIKOR) and Weighted Distance Based Approximation (WDBA). In order to demonstrate the applicability and utility of the proposed methods, an empirical example related to the selection of E-learning websites that are widely used to learn the 'C' Programming Language for the software development is carried out. In addition, the results of these three methods are also compared to analyze the critical aspects of the selection indexes. It strongly shows that the developed FMADM model of this paper could be an efficient and effective assessment tool.

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A Framework to Incorporate Quality Aspects for e-Learning System in a Consortium Environment

Cited by 6 publications

References 3 publications

Approaches and Tools for Quality Assurance in Distance Learning: State-of-play

Approaches and Tools for Quality Assurance in Distance Learning: State-of-play

Selection of suitable distance education platforms based on human–computer interaction criteria under fuzzy environment

Fuzzy multi-attribute decision making evaluation of e-learning websites using FAHP, COPRAS, VIKOR, WDBA

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