Mitigating Rural E-Learning Sustainability Challenges Using Cloud Computing Technology

Odunaike, Solomon Adeyemi; Olugbara, Oludayo O.; Ojo, Sunday O.

doi:10.1007/978-94-007-6818-5_35

Cited by 6 publications

(5 citation statements)

References 33 publications

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“…The research result does not support that online training reduces time spent away from work and home and among the aspects that are in contrast with Odunaike et al (2013) and Srivastava & Agarwal (2013), who claimed that online training is less expensive and more efficient since thousands of trainers may participate at the same time. Contradict with (Goyal, 2012) who revealed that online training is time and value effective and it will be easily used and updated to satisfy the training requirements who and that the workers can get computer and 24×7 access anywhere anytime.…”

Section: Testing Hypothesescontrasting

confidence: 69%

“…Corporate executives are continually looking for less expensive ways to teach their personnel. One of the topics that was mentioned by Odunaike et al (2013) emphasized that online training is linked to numerous technologies and a large pool of data that gives employees with a wealth of experience at their leisure. (Costen et al, 2010).…”

Section: The Effectiveness Of Online Trainingmentioning

confidence: 99%

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The Consequences of Online Training Programs in Five Star Hotels

Abed Rabbo,

Abdelaleem

2022

International Journal of Heritage, Tourism and Hospitality

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Training is one of the most appropriate ways to increase the productivity of individuals and achieve organizational goals. Previous studies implied that there is a number of non-trained employees hired in many hospitality organizations. This study aims to evaluate the effectiveness of online training in five-star hotels in Greater Cairo. To achieve the aim of the study, 400 questionnaires were distributed to the employees and managers of all five-star hotels in Greater Cairo. The study revealed that there are significant impacts of online training on employee skills, productivity, performance, satisfaction, and insignificant impact of online training on cost reduction.

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Section: Testing Hypothesescontrasting

confidence: 69%

Section: The Effectiveness Of Online Trainingmentioning

confidence: 99%

The Consequences of Online Training Programs in Five Star Hotels

Abed Rabbo,

Abdelaleem

2022

International Journal of Heritage, Tourism and Hospitality

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“…One commonly used purpose is readiness can be seen as a factor that must be achieved before an e-learning implementation is successful. This can be defined as several factors that can positively impact the successful implementation of e-learning (Odunaike et al, 2013). Concerning that definition, Alshaher (2013) conducted a study to assess e-learning readiness through McKinsey 7S Model.…”

Section: Reviewing the Existing Instrumentmentioning

confidence: 99%

Students e-learning readiness towards education 4.0: Instrument development and validation

Hariyanto

Yatmono²,

Khairudin³

et al. 2022

jpv

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One of the characteristics of Education 4.0, which is a response to the demands of Industry 4.0, is the use of adaptive and artificial intelligence technologies in online education. In relation to e-learning preparedness, many researchers have conducted studies. But in Education 4.0, the teaching and learning processes' peculiarities were not considered. Therefore, this study aims to develop and validate an instrument for assessing the e-learning readiness of students toward Education 4.0. There were 126 undergraduate students participated in this study. The respondents were asked to fill out the online-based questionnaire on a voluntary basis. The data obtained were then statistically analyzed using the Pearson product-moment correlation test to measure the instrument's validity. The validity test showed that all items on the questionnaire are considerably valid at a significance level of 0.01. Meanwhile, the instrument reliability was measured through Cronbach's alpha score. The reliability test confirmed that six aspects out of seven of the instrument are categorized as high reliability (flexibility, learning preferences, project-based learning, data interpretation, improving curriculum, and self-directedness). One aspect (field experience) showed a moderate level of reliability. The study's findings confirmed that the questionnaire developed is valid and reliable for collecting data concerning the students' e-learning readiness toward Education 4.0.

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“…Other studies have referred to distance collaborative teaching and research [84], clouded and ''ubiquitous'' learning environments [80], and CC for students with attention deficit hyperactive disorder (ADHD) [89]. Finally, varied categories include working in a library setting [70], rural e-learning sustainability [87],cloud-based e-learning security measures and management standards [83], teaching resource application [88], university business processes [81], CC for knowledge centers [85], teaching assistant systems [75],e-learning application design [71], and CC for faculty members [76].…”

Section: ) Review and Survey Articlesmentioning

confidence: 99%

Cloud Computing Adoption in Higher Education Institutions: A Systematic Review

et al. 2019

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Cloud computing (CC) is a recently developed computing paradigm that can be utilized to deliver everything-as-a-service to various businesses. In higher education institutions (HEIs), CC is rapidly being deployed and becoming an integral part of institution experience. CC adoption in HEIs is accompanied by numerous scientific contributions that address the topic from different perspectives. A systematic review of these heterogeneous contributions, which provide a coherent taxonomy, can be considered interesting for HEIs to identify opportunities to use CC in its own context. Therefore, this systematic literature review aims to analyze existing research on adopting and using CC in HEIs, review background research to develop a coherent taxonomy and provide a landscape for future research on CC in HEIs. The outcomes of this paper include a coherent taxonomy and an overview of the basic characteristics of this emerging field in terms of motivation and barriers of adopting CC in HEIs, existing individual and organizational theoretical models to understand the future requirements for extensively adopting and using CC in HEIs, and factors that influence the adoption of CC in HEIs at individual and organizational levels. Considerable information is available in relation to adopting and using CC in HEIs. This review will enhance this information by offering an in-depth analysis of the existing data to bridge any gap and expand on existing literature.

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Mitigating Rural E-Learning Sustainability Challenges Using Cloud Computing Technology

Cited by 6 publications

References 33 publications

The Consequences of Online Training Programs in Five Star Hotels

The Consequences of Online Training Programs in Five Star Hotels

Students e-learning readiness towards education 4.0: Instrument development and validation

Cloud Computing Adoption in Higher Education Institutions: A Systematic Review

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