Evaluating the quality of e-learning using consistent fuzzy preference relations method

Iryanti, Emi; Pandiya, Ridwan

doi:10.1109/fit.2016.7857539

Cited by 4 publications

(7 citation statements)

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“…This finding contradicts previous studies suggesting that content quality is the least crucial factor in e-learning's postadoption (Garg & Jain, 2017;Hwang et al, 2004;Lin et al, 2014). However, this finding is in line with prior studies that verify that content quality is an important factor influencing the postadoption of e-learning (Choi & Jeong, 2019;Iryanti et al, 2016;Jain et al, 2016;Jie, 2010;Su et al, 2016). The rationale is that university lecturers perceive that good content quality motivates learners to use e-learning for learning activities.…”

Section: Discussioncontrasting

confidence: 73%

“…This study is believed to be among the first few studies that modified the D&M model by including another four factors, which are learners' characteristics, instructors' characteristics, user interface and learning community. For instance, some studies integrated learners' characteristic and instructors' characteristics in the D&M model (Ozkan & Koseler, 2009;Xaymoungkhoun et al, 2012;Yassine et al, 2017), while some other studies included user interface and learning community in the D&M model (Abdellatief et al, 2010;Choi & Jeong, 2019;Farid et al, 2018;Iryanti et al, 2016).…”

Section: Implication Of Studymentioning

confidence: 99%

“…Another research perspective highlights learners' characteristics and instructors' characteristics (Bhuasiri et al, 2012;Xaymoungkhoun et al, 2012;Yassine et al, 2017). The final research perspective concentrates on the user interface and learning community (Choi & Jeong, 2019;Farid et al, 2018;Iryanti et al, 2016). Intriguingly, there are limited studies that examine the factors from the second and third research perspectives (Choi & Jeong, 2019;Farid et al, 2018;Yassine et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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An information system success model for e-learning postadoption using the fuzzy analytic network process

et al. 2023

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The underutilization of e-learning among university lecturers is an important issue that needs to be resolved. This study aimed to formulate an e-learning postadoption model for Malaysian universities. Data were collected using self-administered questionnaires involving 36 e-learning experts who from lecturers in public and private universities in Malaysia. The data collected was then analyzed using the extent analysis method proposed by Chang ( European Journal of Operational Research, 95 (3), 649–655, 1996 ) to examine the weights and rankings of the factors and subfactors. This study showed that for e-learning postadoption, the most important factor is institution service quality, followed by system quality, content quality, instructors' characteristics, and learners' characteristics. This study extends the information systems success model into the e-learning postadoption context. In particular, this study offered insights concerning the dependencies among the factors in the model within the Malaysian university context. The findings are useful for the long-range strategic management of university administrators, and the model can be adopted as a reference to form a rating system to analyze e-learning postadoption. University administrators can analyze critical factors that increase e-learning’s post adoption and lead to more efficient resource allocation and management of e-learning.

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Section: Discussioncontrasting

confidence: 73%

Section: Implication Of Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An information system success model for e-learning postadoption using the fuzzy analytic network process

et al. 2023

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“…According to Choshanov (Choshanov, 2013), the teacher should be able to choose and develop their own assessment methods that meet the goals and content of education, use assessment data to improve teaching, and motivate students to learn. Problems of assessing the quality of e-learning tools are highlighted in (Alkhattabi et al, 2011;Atanasova, 2019;Bilousova and Zhyteneva, 2014;Elumalai et al, 2019;Ginns and Ellis, 2009;Hay et al, 2008;Iryanti and Pandiya, 2017;Kazaine, 2017;Khalid and Ziden, 2016;Leontiev et al, 2020;Little, 2003;Lytvynova, 2013;Lundqvist et al, 2006;Male and Pattinson, 2011;Marković and Jovanović, 2012;Marshall, 2012;Pons et al, 2015;Robert et al, 2016;Stasiecka et al, 2005Stasiecka et al, , 2006Vasconcelos et al, 2020;Wu and Lin, 2012;Yang et al, 2007;. In particular, Lytvynova (Lytvynova, 2013) notes that expert activity is undergoing a stage of formation, gradually becoming commonplace, and the relevance of research in the field of examination of electronic educational resources is associated with the trend of standardization and systematization of electronic educational content.…”

Section: Recent Workmentioning

confidence: 99%

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

Семеріков¹,

Osadchyi²,

Kuzminska³

2022

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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.

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“…Salah satu alasannya karena terlalu banyaknya penilaian yang harus ditentukan. Untuk mencegah ketidakkonsistenan tersebut, maka dalam penentuan penilaian dalam penelitian ini, yang akan dilakukan oleh seorang akademisi dalam bidang regulasi telekomunikasi, akan digunakan metode Consistent Fuzzy Preference Relations (CFPR) (Iryanti & Pandiya, 2017). Metode ini akan meminimalisasi jumlah penilaian yang harus diberikan oleh pengambil keputusan.…”

Section: Pendahuluanunclassified

Aplikasi Metode Consistent Fuzzy Preference Relations Dalam Evaluasi Model Pentarifan Interkoneksi Berbasis Internet Protokol

Pandiya¹,

Wahyudin²

2021

bul. pos. dan telekomun.

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The guarantee of telecommunications service is a mandate stipulated in Undang-Undang No.36 of 1999. Interconnection tariffs are no longer focused solely on voice and sms services, because the characteristics of service users are currently moving towards data services. The pricing model that is currently used in determining interconnection tariffs is basically intended for voice and sms services, so the model is not necessarily suitable if applied to Internet Protocol (IP) based services. This study is an evaluation of the models available in determining the most effective model for use in IP-based services. This study applies the Consistent Fuzzy Preference Relations (CFPR) method to determine the best alternative from IP-based interconnection pricing model. The CFPR method, which is a modification of the Analytical Hierarchy Process (AHP) method, guarantees the consistency of a comparison matrix of various criteria when using AHP. So that the alternative interconnection pricing model obtained in this study can be used as a reference by the regulator without doubting the consistency of the comparison of its criteria. Based on data processing, the most recommended Internet Protocol-Based Interconnection Tariff model is Bottom up -Long Run Average Incremental Cost (BU-LRAIC). This is because the model meets the criteria of being very good and fair in terms of technical, economic and social impacts.

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Evaluating the quality of e-learning using consistent fuzzy preference relations method

Cited by 4 publications

References 0 publications

An information system success model for e-learning postadoption using the fuzzy analytic network process

An information system success model for e-learning postadoption using the fuzzy analytic network process

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

Aplikasi Metode Consistent Fuzzy Preference Relations Dalam Evaluasi Model Pentarifan Interkoneksi Berbasis Internet Protokol

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