Google glass adoption in the educational environment: A case study in the Gulf area

Al-Maroof, Rana Saeed; Alfaisal, Aseel; Salloum, Said A.

doi:10.1007/s10639-020-10367-1

Cited by 30 publications

(21 citation statements)

References 63 publications

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“…The basis of TAM is the theory of reasoned action (TRA) that has been used to explain users' acceptance behaviour and information system use (Bhattarai & Maharjan, 2020). TAM is a powerful model that can be used in various types of information technology (Al-Maroof et al, 2021). TAM describes two factors that dominantly affect technology integration: perceived usefulness and ease of use (Davis, 1986).…”

Section: Literature Review Technology Acceptance Model (Tam)mentioning

confidence: 99%

“…People's beliefs on Go-Pay easiness as a system will further influence the perceived usefulness of the service. Therefore, perceived ease of use positively affects the perceived usefulness and actual usage of the system (Al-Maroof et al, 2021). H7a: Perceived ease of use has a positive effect on the perceived usefulness H7b: perceived ease of use has a positive effect on the actual usage of the Go-Pay service Usage refers to users' intentions in using the information system or the actual situation of the system usage (Davis, 1989).…”

Section: Hypothesis Developmentmentioning

confidence: 99%

“…Several theories are used to clarify Information Technology adoption in general; one of them is Technology Acceptance Model (TAM). This model is widely used in research such as Al-Maroof et al (2021), Alalwan et al (2018) and Bhattarai and Maharjan (2020). This theory was also further explored by Lai (2016) by connecting the model from Mehrabian and Russell (1974), namely the stimulus, organism, and response model (SOR model).…”

Section: Introductionmentioning

confidence: 99%

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The success of go-pay financial technology service adoption

Nurherwening

Dari

Urumsah

et al. 2021

JCA

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Go-Pay is one of the popular FinTech services in Indonesia. This research aims to identify the Go-Pay service's impact on net benefits influenced by perceived usefulness, perceived ease of use, comfort, information quality, security, trust, and internet connection quality. This research used a quantitative method to collect 220 data by distributing a questionnaire through Google Form and analyzing them using SmartPLS 3.3. The result shows that comfort, information quality, and perceived ease of use significantly impact the perceived usefulness. In contrast, internet connection quality, trust and security were proved to have no significant impact on the perceived usefulness. Comfort, information quality, trust, internet connection quality had a significant impact on the perceived ease of use. However, security had no significant impact on perceived ease of use. Perceived usefulness and perceived ease of use had a significant impact on net benefits. This research can use as a decision-making strategy for Go-Jek as a company concerning the success of Go-Pay service.

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Section: Literature Review Technology Acceptance Model (Tam)mentioning

confidence: 99%

Section: Hypothesis Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The success of go-pay financial technology service adoption

Nurherwening

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Urumsah

et al. 2021

JCA

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“…Colleges and universities often actively aim to create web-based teaching environments with the help of relevant learning platforms and resources [1][2][3]. In addition, these higher education institutions attempt to achieve effective student results by providing various learning management platforms that enhance strategies and practices for teaching and learning.…”

Section: Introductionmentioning

confidence: 99%

Using Machine Learning Algorithms to Predict People’s Intention to Use Mobile Learning Platforms During the COVID-19 Pandemic: Machine Learning Approach

Akour¹,

Alshurideh²,

Kurdi³

et al. 2021

JMIR Med Educ

175

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Background Mobile learning has become an essential instruction platform in many schools, colleges, universities, and various other educational institutions across the globe, as a result of the COVID-19 pandemic crisis. The resulting severe, pandemic-related circumstances have disrupted physical and face-to-face contact teaching practices, thereby requiring many students to actively use mobile technologies for learning. Mobile learning technologies offer viable web-based teaching and learning platforms that are accessible to teachers and learners worldwide. Objective This study investigated the use of mobile learning platforms for instruction purposes in United Arab Emirates higher education institutions. Methods An extended technology acceptance model and theory of planned behavior model were proposed to analyze university students’ adoption of mobile learning platforms for accessing course materials, searching the web for information related to their disciplines, sharing knowledge, and submitting assignments during the COVID-19 pandemic. We collected a total of 1880 questionnaires from different universities in the United Arab Emirates. Partial least squares-structural equation modeling and machine learning algorithms were used to assess the research model, which was based on the data gathered from a student survey. Results Based on our results, each hypothesized relationship within the research model was supported by our data analysis results. It should also be noted that the J48 classifier (89.37% accuracy) typically performed better than the other classifiers when it came to the prediction of the dependent variable. Conclusions Our study revealed that teaching and learning could considerably benefit from adopting remote learning systems as educational tools during the COVID-19 pandemic. However, the value of such systems could be lessened because of the emotions that students experience, including a fear of poor grades, stress resulting from family circumstances, and sadness resulting from a loss of friends. Accordingly, these issues can only be resolved by evaluating the emotions of students during the pandemic.

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“…It is because the process of knowledge delivery system is required to be carried out in order to reach number of users. However, this mechanism of online educational knowledge delivery system will demand heavier platform [1]. In this aspect, cloud computing offers a better option for hosting educational delivery system for online learning management [2].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Framework for Big Data Analytics in Education

Shidaganti¹,

Prakash²

2021

IJACSA

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With the adoption of cloud services for hosting knowledge delivery system in educational domain, there is a surplus quantity of education data being generated every day by current learning management system. Such data are associated with certain typical complexities that impose significant challenges for existing database management and analytics. Review of existing approaches towards educational data highlights that they do not offer full-fledged solution towards analytics and still there is an open-end problem. Therefore, the proposed system introduces a comprehensive framework which offers integrated operation of transformation, data quality, and predictive analytics. The emphasis is more towards achieving distributed analytical operation towards educational data in cloud. Implemented using analytical research methodology, the proposed system shows better analytical performance with respect to frequently used educational data analytical approaches.

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Google glass adoption in the educational environment: A case study in the Gulf area

Cited by 30 publications

References 63 publications

The success of go-pay financial technology service adoption

The success of go-pay financial technology service adoption

Using Machine Learning Algorithms to Predict People’s Intention to Use Mobile Learning Platforms During the COVID-19 Pandemic: Machine Learning Approach

A Comprehensive Framework for Big Data Analytics in Education

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