Critical success factors for e-learning in developing countries: A comparative analysis between ICT experts and faculty

Bhuasiri, Wannasiri; Xaymoungkhoun, Oudone; Zo, Hangjung; Rho, Jae Jeung; Ciganek, Andrew P.

doi:10.1016/j.compedu.2011.10.010

Cited by 600 publications

(557 citation statements)

References 98 publications

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“…Lecture characteristics that affect the success of Elearning, such as attitude towards students [2,12], timely response [2,12], liveliness lectures [2,11,12], and attitudes toward e-learning [2,11,12].…”

Section: Lecture's Characteristicmentioning

confidence: 99%

“…So every person in a group decisionmakers sought alternative weighting of pairwise they make, then the priority weight of each was combined into a priority group. To combine the preferences of each priority person group can use the formula (2).…”

Section: Ahp and Fuzzy Ahpmentioning

confidence: 99%

“…13 Expertise and insight to use a computer Sub F 13 [2,12] 14 Expertise and insight to use the internet Sub F 14 [2,12] 15 Attitudes toward e-learning Sub F 15 [2,12] 16 Forum / discussion availability Sub F 16 [12] Lecture's Characteristics (E)…”

Section: Student's Characteristics (D)mentioning

confidence: 99%

“…17 Attitudes toward Student Sub F 17 [2,12] 18 Timely response Sub F 18 [2,12] 19 liveliness lectures Sub F 19 [2,11,12] 20 Attitudes toward e-learning Sub F 20 [2,11,12] Then, the second survey was conducted to find weight and rank of subfactors of five e-learning success factors as shown in Table 2 from lecturer and student point of view. Whereas, the lecturers gave 30 statements of questions while the students were given 18 statements of questions.…”

Section: Student's Characteristics (D)mentioning

confidence: 99%

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Determining e-learning success factor in higher education based on user perspective using Fuzzy AHP

2018

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Abstract.Recently almost all universities in the world have implemented E-learning to support their academic system. Previous studies have been conducted to determine CSF using Analytic Hierarchy Process (AHP) method. However, AHP method cannot handle the uncertainty and vagueness of the human's opinion, so then it causes less appropriate decision. Some researcher has proposed to use fuzzy sets theory with AHP to increase the ability of AHP to deal problem regarding the uncertainty/fuzziness. This study aims to determine ranks of priorities of the multiple factors which influence the E-learning success using FAHP method. The respondents consist of ten e-learning's experts, 305 lecturers, and 4195 students at Sebelas Maret University. The result describes similar success factors ranking between both experienced and nonexperienced user (lecturer and student). Then, the result shows that there are five most influencial success factors of e-learning at Sebelas Maret University based on the lectures perspective Financial Policy, Regulatory Policy, Course quality, Relevant Content and Technical Support. On the other hand, according to the student's point of view five most e-learning, critical success factors are Quality of Course, Relevant of Content, Completeness of Content, Attitudes toward Student, and Flexibility in taking Course. Therefore, this finding can be used by E-learning management of Sebelas Maret University to deteremine a strategy to to achieve successful implementation of e-learning at Sebelas Maret University with consider these factors.

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Section: Lecture's Characteristicmentioning

confidence: 99%

Section: Ahp and Fuzzy Ahpmentioning

confidence: 99%

Section: Student's Characteristics (D)mentioning

confidence: 99%

Section: Student's Characteristics (D)mentioning

confidence: 99%

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Determining e-learning success factor in higher education based on user perspective using Fuzzy AHP

2018

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“…These include the nature of course communication (i.e., synchronous or asynchronous) and its frequency between the instructor and students and student academic course load. According to Bhuasiri et al (2012), curriculum design, technology infrastructure and course quality were additional factors to consider, especially in developing countries.…”

Section: Online and Traditional Courses Definedmentioning

confidence: 99%

Traditional Versus Online Learning in Institutions of Higher Education: Minority Business Students’ Perceptions

Alsaaty¹,

Carter²,

Abrahams³

et al. 2016

BMR

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For decades, scholars have debated which mode of education is superior. Some argue that online is superior and others argue that online is less effective than traditional face-to-face courses. Still others suggest that the hybrid mode (e.g., online blended with face-to-face lectures) is the most desired and productive content delivery method for students. However, students' perceptions towards online learning as compared to traditional face-to-face learning have largely been overlooked. This paper intends to fill this void in the literature and explore minority students' perceptions towards online learning versus traditional face-to-face modes of education in higher education.

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AI‐Implanted E‐Learning 4.0: A New Paradigm in Higher Education

Kothari¹,

Verma²

2022

Impact of Artificial Intelligence on Organizational Transformation

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Critical success factors for e-learning in developing countries: A comparative analysis between ICT experts and faculty

Cited by 600 publications

References 98 publications

Determining e-learning success factor in higher education based on user perspective using Fuzzy AHP

Determining e-learning success factor in higher education based on user perspective using Fuzzy AHP

Traditional Versus Online Learning in Institutions of Higher Education: Minority Business Students’ Perceptions

AI‐Implanted E‐Learning 4.0: A New Paradigm in Higher Education

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