FAHP Approach to Rank Educational Websites on Usability

Nagpal, et.al. Renuka

doi:10.12785/ijcds/040404

Cited by 23 publications

(9 citation statements)

References 11 publications

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“…In other words, quantitative analyses able to show the model capability to effectively measure the service quality are not considered. In this respect, for more details, the reader can refer to [56][57][58][59]. Thus, the present work represents a first attempt at evaluating the quality of the academic e-service via a measurement model in which validity and reliability are quantitatively supported.…”

Section: Discussionmentioning

confidence: 99%

A Methodological Approach for Developing and Validating a Parsimonious and Robust Measurement Tool: The Academic E-Service Quality (ACEQUAL) Model

Lupo

Buscarino

2021

Education Sciences

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Nowadays, in the higher education sector, the quality measurement process of education-related services is assuming a crucial role to support focused and targeted improvement activities deeply centered on students’ needs/necessities. These are considered crucial factors for dealing with the current academic competitive context. Therefore, the quality measurement process has to be precise and accurate, namely the measurement model on which it is based has to be parsimonious and robust. The present work proposes an effective and easy-to-use methodological approach suitable for supporting the structuring of a measurement tool. Its effectiveness is shown with reference to the academic e-service provided at the University of Palermo. In particular, taking into account the students’ viewpoints and perspectives, a measurement model of the academic e-service quality is developed and validated, thus overcoming the lack of literature on the subject. Finally, a survey is conducted, and highlighted academic e-service quality shortcomings and criticalities are stressed and discussed. The outcomes of this study may be of interest to practitioners and researchers in the field, offering important suggestions on how to support the structuring of a measurement model, as well the data-driven service quality improvement process.

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Section: Discussionmentioning

confidence: 99%

A Methodological Approach for Developing and Validating a Parsimonious and Robust Measurement Tool: The Academic E-Service Quality (ACEQUAL) Model

Lupo

Buscarino

2021

Education Sciences

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“…Medical data were used as input to analyze users' behaviors to facilitate users to get the relevant information based on their search request. Nagpal et al [2] proposed an approach using Fuzzy Analytical Hierarchical Process (FAHP) to rank educational websites using their usability measures.Users satisfaction is an important objective measure of usability of a website. Educational websites should provide users satisfaction as well as should fulfill all the necessary and complicated educational procedures.…”

Section: Literature Surveymentioning

confidence: 99%

“…Thus measuring the effectiveness of the educational websites is a complex process and should be done using Multi Criterion Decision Making (MCDM) techniques. FAHP, a MCDM technique, having the ability to deal with uncertainty can be used to measure the effectiveness of the educational websites [2]. Nagpal et al [2] have used FAHP to categorize the preferences based on the requirements of the user as per their search criteria.…”

Section: Literature Surveymentioning

confidence: 99%

“…FAHP, a MCDM technique, having the ability to deal with uncertainty can be used to measure the effectiveness of the educational websites [2]. Nagpal et al [2] have used FAHP to categorize the preferences based on the requirements of the user as per their search criteria. Grbovic et al [3] proposed a method using supervised clustering which encompassed a concept of label ranking data.…”

Section: Literature Surveymentioning

confidence: 99%

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Educational Website Ranking Using Fuzzy Logic and K-Means Clustering Based Hybrid Method

Deb¹,

Banerjee²,

Chatterjee³

et al. 2019

ISI

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In the Internet era, it is a huge challenge for users to find suitable and pertinent information out of the huge amount of online data. The challenge is particularly arduous for students searching for education information in a specific domain. To solve the problem, this paper puts forward an educational website ranking method, which applies fuzzy logic and k-means clustering in sequence. First, a fuzzy inference system (FIS) was established based on the fuzzy logic, and used to find the utility value (UV) of an educational website according to the feedback marks of each student. Then, the general utility value (GUV) of each educational website was determined through k-means clustering of all the UVs of that website. Then, the educational websites were ranked by their GUVs. The experimental results show that the proposed method ranks the educational websites clearly and correctly, enabling students to find the desired education information.

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“…The fuzzy AHP method has been widely used by various researchers to solve different decision-making problems. Nagpal et al (2015) used fuzzy AHP to compare and rank different websites of an educational institute on their usability criteria. Chen et al (2015) present a framework for teaching performance evaluation based on fuzzy AHP and fuzzy comprehensive evaluation method.…”

Section: Introductionmentioning

confidence: 99%

An application of fuzzy analytic hierarchy process (FAHP) for evaluating students project

Cebä¹,

Karal²

2017

Educ. Res. Rev.

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In recent years, artificial intelligence applications for understanding the human thinking process and transferring it to virtual environments come into prominence. The fuzzy logic which paves the way for modeling human behaviors and expressing even vague concepts mathematically, and is also regarded as an artificial intelligence technique has become one of the most preferred methods in the solution of decision problems. Numerous decision-making situations are faced in education as well. Particularly, it is rather challenging and requires experience to decide in a fair way and assessing students' performances without making any error in the process of assessment and evaluation. The purpose of the current study is to assess students' performance with the fuzzy analytic hierarchy process (FAHP), one of the multi-criteria decision making methods based on the fuzzy logic approach. The formation of the proposed system on the basis of fuzzy set theory determines that it can provide benefits in modeling these ambiguities in human mental processes and also it can reach fairer, more sensitive and objective results. Being used especially in making important decisions in companies and in developing smart vehicles in engineering, FAHP methods have brought into question whether this method can be used in education or not. This study reveals that FAHP method can be used in the evaluation of students' projects in education.

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FAHP Approach to Rank Educational Websites on Usability

Cited by 23 publications

References 11 publications

A Methodological Approach for Developing and Validating a Parsimonious and Robust Measurement Tool: The Academic E-Service Quality (ACEQUAL) Model

A Methodological Approach for Developing and Validating a Parsimonious and Robust Measurement Tool: The Academic E-Service Quality (ACEQUAL) Model

Educational Website Ranking Using Fuzzy Logic and K-Means Clustering Based Hybrid Method

An application of fuzzy analytic hierarchy process (FAHP) for evaluating students project

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