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Rana Saeed Al-Maroof

Bio: Rana Saeed Al-Maroof is an academic researcher from AL Buraimi University College. The author has contributed to research in topics: Technology acceptance model & Psychology. The author has an hindex of 9, co-authored 17 publications receiving 332 citations.

Papers
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Journal ArticleDOI
TL;DR: The results of the study prove that both the perceived ease of use (PEOU) and perceived usefulness (PU) positively influence the behavioral intention, which in turn influence the actual usage of Google classrooms.
Abstract: Google classroom can work in unidirectional process as it can serve the teachers’ strategies and styles on one hand and students’ perception, understanding, and effective participation in different classroom skills on the other hand. The ac-ceptance of Google classroom is affected by different factors. Some of them are still not clearly specified and discussed in previous research; therefore, they need further investigation. Based on the previous assumption, this study is an attempt to examine the factors that affect the students’ acceptance of Google classroom at Al Buraimi University College (BUC) in Oman. The Technology Acceptance Model (TAM) was adopted to formulate the hypotheses of the current study. The data was collected through an online questionnaire with 337 respondents. The Partial Least Square-Structural Equation Model (PLS-SEM) approach was used to assess both the measurement and structural models. The results of the study prove that both the perceived ease of use (PEOU) and perceived usefulness (PU) positively influence the behavioral intention, which in turn influence the actual usage of Google classrooms. This study helps the decision makers of the higher educational institutions to have a better understanding of the effectiveness of us-ing Google classroom by their students. It is assumed that it helps in measuring the level of students’ acceptance to the previously mentioned technology.

236 citations

Journal ArticleDOI
TL;DR: In this article, the effect of fear emotion on students' and teachers' technology adoption during the COVID-19 pandemic was explored and the study has made use of Google Meet© as an educational social platf...
Abstract: This study seeks to explore the effect of fear emotion on students' and teachers' technology adoption during COVID-19 pandemic. The study has made use of Google Meet© as an educational social platf...

129 citations

Journal ArticleDOI
TL;DR: Wearable technologies are becoming more pervasive with the development of high computational capability devices such as smartwatches, smart glasses, smart pills, and sensors.
Abstract: Wearable technologies are becoming more pervasive with the development of high computational capability devices such as smartwatches, smart glasses, smart pills, and sensors. The emergence of these...

62 citations

Journal ArticleDOI
30 Mar 2021
TL;DR: In this article, the authors explored the effect of Google Meet acceptance among Arab students during the COVID-19 pandemic in Oman, UAE, and Jordan, and the results have shown that TAM hypotheses of usefulness and easy to use have been supported.
Abstract: The COVID-19 pandemic not only affected our health and medical systems but also has created large disruption of education systems at school and universities levels. According to the United Nation’s report, COVID-19 has influenced more than 1.6 billion learners from all over the world (190 countries or more). To tackle this problem, universities and colleges have implemented various technologically based platforms to replace the physical classrooms during the spread of Coronavirus. The effectiveness of these technologies and their educational impact on the educational sector has been the concern of researchers during the spread of the pandemic. Consequently, the current study is an attempt to explore the effect of Google Meet acceptance among Arab students during the pandemic in Oman, UAE, and Jordan. The perceived fear factor is integrated into a hybrid model that combines crucial factors in TAM (Technology acceptance Model) and VAM (Value-based Adoption Model). The integration embraces perceived fear factor with other important factors in TAM perceived ease of use (PEOU) and perceived usefulness (PU) on the one hand and technically influential factor of VAM, which are perceived technicality (PTE) and perceived enjoyment (PE) on the other hand. The data, collected from 475 participants (49% males and 51% females students), were analyzed using the partial least squares-structural equation modelling (PLS-SEM). The results have shown that TAM hypotheses of usefulness and easy to use have been supported. Similarly, the results have supported the hypotheses related to VAM factors of being technically useful and enjoying, which helps in reducing the atmosphere of fear that is created due to the spread of Coronavirus.

54 citations


Cited by
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Journal ArticleDOI

1,773 citations

Proceedings Article
01 Jan 2006
TL;DR: In this paper, the authors report on a study that attempts to expand the set of post-adoption beliefs in the expectation-confirmation model (ECM) in order to extend the application of the ECM beyond an instrumental focus.
Abstract: The expectation-confirmation model (ECM) of IT continuance is a model for investigating continued information technology (IT) usage behavior. This paper reports on a study that attempts to expand the set of post-adoption beliefs in the ECM, in order to extend the application of the ECM beyond an instrumental focus. The expanded ECM, incorporating the post-adoption beliefs of perceived usefulness, perceived enjoyment and perceived ease of use, was empirically validated with data collected from an on-line survey of 811 existing users of mobile Internet services. The data analysis showed that the expanded ECM has good explanatory power (R 2 = 57.6% of continued IT usage intention and R 2 = 67.8% of satisfaction), with all paths supported. Hence, the expanded ECM can provide supplementary information that is relevant for understanding continued IT usage. The significant effects of post-adoption perceived ease of use and perceived enjoyment signify that the nature of the IT can be an important boundary condition in understanding the continued IT usage behavior. At a practical level, the expanded ECM presents IT product/service providers with deeper insights into how to address IT users' satisfaction and continued patronage.

176 citations

Journal ArticleDOI
TL;DR: The findings indicate two powerful constructs (regulatory support and experience) that encourage customer's trust toward blockchain-based applications and governments and businesses can dedicate efforts to enhance customers' trust and ultimately promote better acceptance of blockchain technology and its applications.

132 citations

Journal ArticleDOI
TL;DR: The study adopted a modified Unified Theory of Acceptance and Use of Technology2(UTAUT2) as a theoretical foundation to investigate students’ initial perceptions of Google Classroom as a mobile learning platform and revealed important significant non-linear relationships between Hedonic Motivation and Habit with the rest of the UTAUT2 factors.
Abstract: The study adopted a modified Unified Theory of Acceptance and Use of Technology2(UTAUT2) as a theoretical foundation to investigate students’ initial perceptions of Google Classroom as a mobile learning platform. By including six non-linear relationships within the modified model, the study examined the nuances in interaction terms between Habit and Hedonic Motivation, in relation to the other constructs in the original UTAUT2 model towards Google Classroom intention formation and use behaviour. Based on this, a questionnaire was used to collect data from 163 students, employing a purposive sampling technique with Partial Least Squares Structural Equation Modelling (PLS-SEM) utilized for statistical analysis. Overall, the results revealed important significant non-linear relationships between Hedonic Motivation and Habit with the rest of the UTAUT2 factors within the model. Students’ positive intentions to accept Google Classroom were anchored on Habit, Hedonic Motivation and Performance Expectancy. However, both Habit and Hedonic Motivation had significant and positive non-linear relationships with Performance Expectancy, Effort Expectancy and Social Influence towards Google Classroom usage intentions. Uniquely, Habit was the strongest predictor of Behavioural Intention. Again, the Importance-Performance Map Analysis (IPMA) proved that Habit was the most important factor in determining actual usage (Use Behaviour) of Google Classroom rather than Behavioural Intention.

105 citations

Proceedings ArticleDOI
19 Feb 2019
TL;DR: The empirical results indicated that perceived playfulness, perceived usefulness, and perceived ease of use are significant indicators of students' intention to use social networks in education.
Abstract: There is an increase in the number of studies being carried out on the acceptance of social media applications. Nonetheless, the identification of the factors affecting its acceptance in educational purposes is still neglected. Hence, the objective of this study is to develop a conceptual model through the extension of the Technology Acceptance Model (TAM) with perceived playfulness to measure the students' acceptance of social networks in education. A total of 320 valid questionnaire surveys were collected from the students enrolled at University of Fujairah in the United Arab of Emirates (UAE). The partial least squares-structural equation modeling (PLS-SEM) approach was used to analyze the collected data. The empirical results indicated that perceived playfulness, perceived usefulness, and perceived ease of use are significant indicators of students' intention to use social networks in education.

101 citations