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Dr. Waleed Mugahed Al-Rahmi is an assistant professor of Computer and Education at Faculty of Social Sciences & Humanities, School of Education, Universiti Teknologi Malaysia. He completed PhD degree from Faculty of Computing - Information Systems, Universiti Teknologi Malaysia. And he got Best Student Award, Doctor of Philosophy (Faculty of Computing - Information System), Excellent academic achievement in conjunction with the 56nd Convocation Ceremony, Universiti Teknologi Malaysia (UTM), 2016. Waleed experiences had teaching assistant 2.5 years in Faculty of Computing at Universiti Teknologi Malaysia. Moreover, Post- Doctoral in Faculty of information and Communication Technology at International Islamic University Malaysia, Moreover, Post- Doctoral in Faculty of Science at Universiti Teknologi Malaysia. Furthermore, Currently Post- Doctoral in Faculty of Education at Universiti Teknologi Malaysia. His research interests are information system management, information technology management, human-computer interaction, implementation process, Technology Acceptance Model (TAM), communication and constructivism theories, impact of social media networks, collaborative learning, E-learning, knowledge management, Massive Open Online Course (MOOCs), statistical data analysis (IBM SPSS, AMOS, NVIVO and SmartPLS).
In higher education learning, e-learning systems have become renowned tools worldwide. The evident importance of e-learning in higher education has resulted in a prenominal increase in the number of e-learning systems delivering various forms of services, especially when traditional education (face-to-face) was suddenly forced to move online due to the COVID-19 outbreak. Accordingly, assessing e-learning systems is pivotal in the interest of effective use and successful implementation. By relying on the related literature review, an extensive model is developed by integrating the information system success model (ISSM) and the technology acceptance model (TAM) to illustrate key factors that influence the success of e-learning systems. Based on the proposed model, theory-based hypotheses are tested through structural equation modeling employing empirical data gathered through a survey questionnaire of 537 students from three private universities in Jordan. The findings demonstrate that quality factors, including instructor, technical system, support service, educational systems, and course content quality, have a direct positive influence on students’ satisfaction, perceived usefulness, and system use. Moreover, self-regulated learning negatively affects students’ satisfaction, perceived usefulness, and system use. Students’ satisfaction, perceived usefulness, and system use are key predictors of their academic performance. These findings provide e-learning stakeholders with important implications that guarantee the effective, successful use of e-learning that positively affects students’ learning.
Ahmad Samed Al-Adwan; Nour Awni Albelbisi; Omar Hujran; Waleed Mugahed Al-Rahmi; Ali Alkhalifah. Developing a Holistic Success Model for Sustainable E-Learning: A Structural Equation Modeling Approach. Sustainability 2021, 13, 9453 .
AMA StyleAhmad Samed Al-Adwan, Nour Awni Albelbisi, Omar Hujran, Waleed Mugahed Al-Rahmi, Ali Alkhalifah. Developing a Holistic Success Model for Sustainable E-Learning: A Structural Equation Modeling Approach. Sustainability. 2021; 13 (16):9453.
Chicago/Turabian StyleAhmad Samed Al-Adwan; Nour Awni Albelbisi; Omar Hujran; Waleed Mugahed Al-Rahmi; Ali Alkhalifah. 2021. "Developing a Holistic Success Model for Sustainable E-Learning: A Structural Equation Modeling Approach." Sustainability 13, no. 16: 9453.
Mobile learning (M-learning) has become an important instructional technology component in higher education. The goal of this research is to determine how Malaysian university students use M-learning in higher education. The technology acceptance model (TAM) concept was used to construct a theoretical model of M-learning acceptability. In theory, five independent criteria were discovered as contributing to the actual usage of M-learning for educational sustainability by influencing students’ attitudes towards M-learning and their intention to use it. A questionnaire survey based on the technology acceptance model (TAM) was used as the primary data collection technique, with 200 students from UTHM University of Malaysia participating. The data were analyzed using SPSS and Structural Equation Modeling (SEM-Amos). The results of the students’ attitudes towards using M-learning and their behavioral intentions to use M-learning show a beneficial impact on the actual use of M-learning as well as the long-term sustainability of M-learning in higher education. In addition, both male and female students were satisfied with perceived usefulness, perceived ease of use, perceived enjoyment, attitude towards use, task-technology fit, behavioral intention to use, perceived resources and actual use of mobile learning for educational sustainability. This study contributes to the validation of the extended TAM for M-learning by demonstrating that the predicted model predicts students’ attitudes towards using M-learning and their behavioral intentions in Malaysian higher education.
Ali Al-Rahmi; Waleed Al-Rahmi; Uthman Alturki; Ahmed Aldraiweesh; Sultan Almutairy; Ahmad Al-Adwan. Exploring the Factors Affecting Mobile Learning for Sustainability in Higher Education. Sustainability 2021, 13, 7893 .
AMA StyleAli Al-Rahmi, Waleed Al-Rahmi, Uthman Alturki, Ahmed Aldraiweesh, Sultan Almutairy, Ahmad Al-Adwan. Exploring the Factors Affecting Mobile Learning for Sustainability in Higher Education. Sustainability. 2021; 13 (14):7893.
Chicago/Turabian StyleAli Al-Rahmi; Waleed Al-Rahmi; Uthman Alturki; Ahmed Aldraiweesh; Sultan Almutairy; Ahmad Al-Adwan. 2021. "Exploring the Factors Affecting Mobile Learning for Sustainability in Higher Education." Sustainability 13, no. 14: 7893.
The current study explores the students’ behavioral intention to use social media and actual social media use in higher education, specifically the perception of their academic performance and satisfaction. The study is theoretically based on the technology acceptance model (TAM) with evaluation information system success models (ISSM). Theoretically, five independent constructs were identified as contributory to behavioral intention to use social media, and actual social media use towards the students’ satisfaction and performance impact was analyzed. A questionnaire survey based on the technology acceptance model (TAM) and information system success model (ISSM) was utilized as the key method for collecting data and disseminated to 1200 students from four public universities of Malaysia chosen through a random sampling technique. For data analysis, the SPSS and structural equation modeling (SEM-Amos) were used. Outcomes obtained from the students’ behavioral intention to use and actual social media usage indicates a positive and constructive influence on satisfaction and academic performance in higher education. In addition, both male and female students were satisfied with perceived usefulness (β = 0.095, t-value = 3.325, p< 0.001 and β = −0.045, t-value = −2.079, p< 0.001, respectively), perceived ease of use (β = 0.108, t-value = 3.29, p< 0.001 and β = 0.307, t-value = 12.365, p< 0.001, respectively), perceived technology fit (β = 0.14, t-value = 4.769, p< 0.001 and β = 0.277, t-value = 12.358, p< 0.001, respectively), information quality (β = 0.108, t-value = 3.825, p< 0.001 and β = 0.109, t-value = 5.087, p< 0.001, respectively), and system quality (β = 0.232, t-value = 7.573, p< 0.001 and β = 0.176, t-value = 7.429, p< 0.001, respectively). Therefore, we encourage students to use social media for educational purposes and encourage more interactions with peers at higher education institutions. The study’s empirical findings present strong support for the integrative association between the TAM and the ISSM in using online learning platforms to improve students’ academic achievements and satisfaction. This could help decision makers in universities, higher education institutions, and colleges to plan, evaluate, and implement online learning platforms in their institutions.
Ali Al-Rahmi; Alina Shamsuddin; Uthman Alturki; Ahmed Aldraiweesh; Farahwahida Yusof; Waleed Al-Rahmi; Abdulmajeed Aljeraiwi. The Influence of Information System Success and Technology Acceptance Model on Social Media Factors in Education. Sustainability 2021, 13, 7770 .
AMA StyleAli Al-Rahmi, Alina Shamsuddin, Uthman Alturki, Ahmed Aldraiweesh, Farahwahida Yusof, Waleed Al-Rahmi, Abdulmajeed Aljeraiwi. The Influence of Information System Success and Technology Acceptance Model on Social Media Factors in Education. Sustainability. 2021; 13 (14):7770.
Chicago/Turabian StyleAli Al-Rahmi; Alina Shamsuddin; Uthman Alturki; Ahmed Aldraiweesh; Farahwahida Yusof; Waleed Al-Rahmi; Abdulmajeed Aljeraiwi. 2021. "The Influence of Information System Success and Technology Acceptance Model on Social Media Factors in Education." Sustainability 13, no. 14: 7770.
Teaching and learning are significantly influenced by information and communications technology (ICT). The goal of this study was to develop a new model and conduct confirmatory factor analysis to learn more about how students use ICT for digital learning as sustainability. The purpose of this research project was to investigate computer self-efficacy, computer anxiety, perceived enjoyment and acceptance of digital learning as sustainability at Saudi universities, based on students’ satisfaction with actual ICT usage for digital learning as sustainability. This research project made use of structural equation modelling with SEM-AMOS and an expanded variant of the technology acceptance model as the research model. A questionnaire based on the technology acceptance model and social cognitive theory was employed as the main data collection method and was distributed to 684 students from students at two universities. Students’ answers were categorized into seven categories and evaluated to determine how satisfied students were with ICT and how likely they were to continue using it for digital learning as sustainability. The findings revealed a connection between computer self-efficacy, computer anxiety and perceived enjoyment, factors which all played a significant role in perceived usefulness and ease of use. Perceived usefulness and ease of use also had an impact on students’ continued intention to use and satisfaction. This research-built model was effective in explaining students’ continued desire to use ICT and their satisfaction with it.
Amer Sayaf; Mahdi Alamri; Mohammed Alqahtani; Waleed Al-Rahmi. Information and Communications Technology Used in Higher Education: An Empirical Study on Digital Learning as Sustainability. Sustainability 2021, 13, 7074 .
AMA StyleAmer Sayaf, Mahdi Alamri, Mohammed Alqahtani, Waleed Al-Rahmi. Information and Communications Technology Used in Higher Education: An Empirical Study on Digital Learning as Sustainability. Sustainability. 2021; 13 (13):7074.
Chicago/Turabian StyleAmer Sayaf; Mahdi Alamri; Mohammed Alqahtani; Waleed Al-Rahmi. 2021. "Information and Communications Technology Used in Higher Education: An Empirical Study on Digital Learning as Sustainability." Sustainability 13, no. 13: 7074.
Social entrepreneurship has recently become a much-desired area of research for academia, practices, and policymaking. Natural or cognitive personal thoughtfulness like loving-kindness meditation (LKM) and compassion trigger individual intentions towards the social entrepreneurial venture. In this process of individual social entrepreneurial intention personality trait plays a very vital role, such as entrepreneurship resilience. For this study, a purposive sampling technique was incorporated and data was collected from 631 business and management sciences students. Data is analyzed by SPSS 23 and for the hypothesis testing, we used the bootstrap analysis of Hayes PROCESS v3.5. This study depicts that LKM has a positive significant impact on compassion and no significant impact on social entrepreneurship intentions while resilience strengthens the direct relationship of compassion with social entrepreneurship and the indirect relationship of LKM with social entrepreneurship via compassion. This study contributes to solving the economic and social problems over the globe especially by boosting the LKM and resilience traits so that the young graduate commence social entrepreneurship. This study helps the academician and policymakers to adopt strategies through which they can encourage youth to indulge in social entrepreneurial ventures solve the social problem and decrease unemployment.
Hameed Sana; Salem Alkhalaf; Salman Zulfiqar; Waleed Al-Rahmi; Ahmad Al-Adwan; Anas AlSoud. Upshots of Intrinsic Traits on Social Entrepreneurship Intentions among Young Business Graduates: An Investigation through Moderated-Mediation Model. Sustainability 2021, 13, 5192 .
AMA StyleHameed Sana, Salem Alkhalaf, Salman Zulfiqar, Waleed Al-Rahmi, Ahmad Al-Adwan, Anas AlSoud. Upshots of Intrinsic Traits on Social Entrepreneurship Intentions among Young Business Graduates: An Investigation through Moderated-Mediation Model. Sustainability. 2021; 13 (9):5192.
Chicago/Turabian StyleHameed Sana; Salem Alkhalaf; Salman Zulfiqar; Waleed Al-Rahmi; Ahmad Al-Adwan; Anas AlSoud. 2021. "Upshots of Intrinsic Traits on Social Entrepreneurship Intentions among Young Business Graduates: An Investigation through Moderated-Mediation Model." Sustainability 13, no. 9: 5192.
Despite the fact that several studies have been conducted to study the adoption of smart-government services, little consideration has been paid to exploring the main factors that influence the adoption of smart-government services at the three main stages of smart-government services (the static, interaction, and transaction stages). Based on the results of this study, each of these three stages has different requirements in terms of system compatibility, security, information quality, awareness, perceived functional benefit, self-efficacy, perceived image, perceived uncertainty, availability of resources, and perceived trust. In addition, the results demonstrate that the requirements and perceptions of users towards the adoption and use of smart-government services in the three stages significantly differ. This study makes a unique contribution to the existing research by examining the perceptions and needs of consumers, in terms of adoption throughout the three stages.
Ahmad Althunibat; Muhammad Binsawad; Mohammed Almaiah; Omar Almomani; Adeeb Alsaaidah; Waleed Al-Rahmi; Mohamed Seliaman. Sustainable Applications of Smart-Government Services: A Model to Understand Smart-Government Adoption. Sustainability 2021, 13, 3028 .
AMA StyleAhmad Althunibat, Muhammad Binsawad, Mohammed Almaiah, Omar Almomani, Adeeb Alsaaidah, Waleed Al-Rahmi, Mohamed Seliaman. Sustainable Applications of Smart-Government Services: A Model to Understand Smart-Government Adoption. Sustainability. 2021; 13 (6):3028.
Chicago/Turabian StyleAhmad Althunibat; Muhammad Binsawad; Mohammed Almaiah; Omar Almomani; Adeeb Alsaaidah; Waleed Al-Rahmi; Mohamed Seliaman. 2021. "Sustainable Applications of Smart-Government Services: A Model to Understand Smart-Government Adoption." Sustainability 13, no. 6: 3028.
COVID-19 has disrupted educational institutes across the world. Teachers and students are now forced to teach and study online for an unidentified period, which severely hampers the learning capacity as well the student’s intention toward entrepreneurship. This study compared the impact of traditional teaching and teaching through online management simulation games on student learning performance and further leads to entrepreneurial intention. To further understand the desirability of business simulation games, we used the technology acceptance model (TAM) and extended it by employing knowledge sharing, knowledge application, learnability, perceived pleasure, and self-efficacy as exogenous variables. For this purpose, time-lagged data were collected from 277 students enrolled in entrepreneurship courses in public sector universities. To deal with homogeneity and generalizability issues, students from different collaborative universities were asked to participate in the study. Structural equation modeling was employed for analysis, where the results depict that the students learning performance was enhanced after using simulation games compared to regular theoretical online lectures, which further encouraged them to be entrepreneurs. We also concluded that simulation games are novel and effective online teaching methodology for students during a time of crisis. The study concludes with its theoretical, practical implications, and directions for future researchers.
Salman Zulfiqar; Hamad Al-Reshidi; Moteeb Al Moteri; Hafiz Feroz; Noraffandy Yahya; Waleed Al-Rahmi. Understanding and Predicting Students’ Entrepreneurial Intention through Business Simulation Games: A Perspective of COVID-19. Sustainability 2021, 13, 1838 .
AMA StyleSalman Zulfiqar, Hamad Al-Reshidi, Moteeb Al Moteri, Hafiz Feroz, Noraffandy Yahya, Waleed Al-Rahmi. Understanding and Predicting Students’ Entrepreneurial Intention through Business Simulation Games: A Perspective of COVID-19. Sustainability. 2021; 13 (4):1838.
Chicago/Turabian StyleSalman Zulfiqar; Hamad Al-Reshidi; Moteeb Al Moteri; Hafiz Feroz; Noraffandy Yahya; Waleed Al-Rahmi. 2021. "Understanding and Predicting Students’ Entrepreneurial Intention through Business Simulation Games: A Perspective of COVID-19." Sustainability 13, no. 4: 1838.
The conventional education system in developing countries has been enhanced recently by implementing the latest technology of distributed ledger. Disruptive technology is a fundamental requirement for greater accountability and visibility. We explored the key factors affecting the intentions of educational institutions to use blockchain technology for e-learning. This study proposed an expanded model of Technology Acceptance Model by integrating the diffusion of innovation theory. Based on an online survey, the conceptual model was tested and validated using structural equation modeling. The results showed that compatibility had a significant impact on blockchain use in smart learning environments. Other significant effects were also found on adoption of blockchain technology. This study offers an expanded Technology Acceptance Model for implementing blockchain that could assist decision makers in building a smart learning environment for the educational institutes for the emerging economies.
Nazir Ullah; Waleed Al-Rahmi; Ahmed Alzahrani; Osama Alfarraj; Fahad Alblehai. Blockchain Technology Adoption in Smart Learning Environments. Sustainability 2021, 13, 1801 .
AMA StyleNazir Ullah, Waleed Al-Rahmi, Ahmed Alzahrani, Osama Alfarraj, Fahad Alblehai. Blockchain Technology Adoption in Smart Learning Environments. Sustainability. 2021; 13 (4):1801.
Chicago/Turabian StyleNazir Ullah; Waleed Al-Rahmi; Ahmed Alzahrani; Osama Alfarraj; Fahad Alblehai. 2021. "Blockchain Technology Adoption in Smart Learning Environments." Sustainability 13, no. 4: 1801.
Waleed Al-Rahmi. Social Media Use in Higher Education: Exploring Activities for Learning. International Journal of Advanced Trends in Computer Science and Engineering 2020, 9, 413 -422.
AMA StyleWaleed Al-Rahmi. Social Media Use in Higher Education: Exploring Activities for Learning. International Journal of Advanced Trends in Computer Science and Engineering. 2020; 9 (1.4):413-422.
Chicago/Turabian StyleWaleed Al-Rahmi. 2020. "Social Media Use in Higher Education: Exploring Activities for Learning." International Journal of Advanced Trends in Computer Science and Engineering 9, no. 1.4: 413-422.
In developed nations, the advent of distributed ledger technology is emerging as a new instrument for improving the traditional system in developing nations. Indeed, adopting blockchain technology is a necessary condition for the coming future of organizations. The distributed ledger technology provides better transparency and visibility. This study investigated the features that may influence the behavioral intention of energy experts to implement the distributed ledger technology for the energy management of developing countries. The proposed model is based on the Technology Acceptance Model construct and the diffusion of the innovation construct. Based on a survey of 178 experts working in the energy sector, the proposed model was tested using structural equation modeling. The findings showed that perceived ease of use, perceived usefulness, attitude, and cost saving had a positive and significant impact during the blockchain technology adoption. However, innovativeness showed a positive effect on the perceived ease of use whereas an insignificant impact on the perceived usefulness. The present study offers a holistic model for the implementation of innovative technologies. For the developers, it suggest rising disruptive technology solutions.
Nazir Ullah; Waleed S. Alnumay; Waleed Mugahed Al-Rahmi; Ahmed Ibrahim Alzahrani; Hosam Al-Samarraie. Modeling Cost Saving and Innovativeness for Blockchain Technology Adoption by Energy Management. Energies 2020, 13, 4783 .
AMA StyleNazir Ullah, Waleed S. Alnumay, Waleed Mugahed Al-Rahmi, Ahmed Ibrahim Alzahrani, Hosam Al-Samarraie. Modeling Cost Saving and Innovativeness for Blockchain Technology Adoption by Energy Management. Energies. 2020; 13 (18):4783.
Chicago/Turabian StyleNazir Ullah; Waleed S. Alnumay; Waleed Mugahed Al-Rahmi; Ahmed Ibrahim Alzahrani; Hosam Al-Samarraie. 2020. "Modeling Cost Saving and Innovativeness for Blockchain Technology Adoption by Energy Management." Energies 13, no. 18: 4783.
Nowadays, social media applications (SMAs) which are quite popular among students have a significant influence on education sustainability. However, there is a lack of research that explores elements of the constructivist learning approach with the technology acceptance model (TAM) in higher education. Therefore, this research aimed to minimize the literature gap by examining the SMA factors used for active collaborative learning (ACL) and engagement (EN) to affect the students’ academic performance in measuring education sustainability, as well as examining their satisfaction from its use. This study employed constructivism theory and TAM as the investigation model, and applied a quantitative method and analysis through surveying 192 university students at King Faisal University. Using structural equation modeling (SEM), the responses were sorted into nine factors and analyzed to explain students’ academic performance in measuring education sustainability, as well as their satisfaction. The results were analyzed with structural equation modelling; it was shown that all the hypotheses were supported and positively related to sustainability for education, confirming significant relationships between the use of SMAs and the rest of the variables considered in our model (interactivity with peers (IN-P), interactivity with lecturers (IN-L), ACL, EN, perceived ease of use (PEOU), perceived usefulness (PU), SMA use, student satisfaction (SS), and students’ academic performance (SAP).
Mahdi Alamri; Mohammed Almaiah; Waleed Al-Rahmi. Social Media Applications Affecting Students’ Academic Performance: A Model Developed for Sustainability in Higher Education. Sustainability 2020, 12, 6471 .
AMA StyleMahdi Alamri, Mohammed Almaiah, Waleed Al-Rahmi. Social Media Applications Affecting Students’ Academic Performance: A Model Developed for Sustainability in Higher Education. Sustainability. 2020; 12 (16):6471.
Chicago/Turabian StyleMahdi Alamri; Mohammed Almaiah; Waleed Al-Rahmi. 2020. "Social Media Applications Affecting Students’ Academic Performance: A Model Developed for Sustainability in Higher Education." Sustainability 12, no. 16: 6471.
Today, developments in information and communication technology (ICT) have a significant influence on education sustainability. In this study, the factors influencing students’ intentions towards using ICT in education sustainability, as well as their satisfaction from its use, were examined. This study aims to investigate student intentions to use information and communication technology, as well as their satisfaction with such use. Therefore, this study employed an extended model of the Technology Acceptance Model (TAM) as the research framework, and adopted quantitative data collection and analysis methods by surveying 502 university students who were chosen through stratified random sampling. Using structural equation modeling (SEM), student responses were sorted into eight study constructs and analyzed to explain their intentions towards technology use and satisfaction. A significant relationship was found between computer self-efficacy (CSE), subjective norms (SN), and perceived enjoyment (PE), which were significant determinants of perceived ease of use (PEU) and perceived usefulness (PU). PEU, PU, and attitudes towards computer use (ACU) influenced students’ intentions to use (SIU) ICT and students’ satisfaction (SS). The constructs succeeded in explaining usage intentions towards ICT among students and their satisfaction from this usage.
Waleed Mugahed Al-Rahmi; Ahmed Ibrahim Alzahrani; Noraffandy Yahaya; Nasser Alalwan; Yusri Kamin. Digital Communication: Information and Communication Technology (ICT) Usage for Education Sustainability. Sustainability 2020, 12, 5052 .
AMA StyleWaleed Mugahed Al-Rahmi, Ahmed Ibrahim Alzahrani, Noraffandy Yahaya, Nasser Alalwan, Yusri Kamin. Digital Communication: Information and Communication Technology (ICT) Usage for Education Sustainability. Sustainability. 2020; 12 (12):5052.
Chicago/Turabian StyleWaleed Mugahed Al-Rahmi; Ahmed Ibrahim Alzahrani; Noraffandy Yahaya; Nasser Alalwan; Yusri Kamin. 2020. "Digital Communication: Information and Communication Technology (ICT) Usage for Education Sustainability." Sustainability 12, no. 12: 5052.
The purpose of this article was to reduce the dissimilarities in the literature regarding the use of social media for training and its impact on students’ academic performance in higher education institutions. The main method of data collection for task-technology fit (TTF) and the technology acceptance model (TAM) was a questionnaire survey. This research hypothesizes that TTF applied to social media for learning will affect technology, task, and social characteristics that in turn improve students’ satisfaction and students’ academic performance. It also posits that the behavioral intent to use social media for learning will affect comprehension efficiency, ease of use, and enjoyment, all of which also improve students’ satisfaction and students’ academic performance. The data collection questionnaire was conducted with 162 students familiar with social media. Quantitative structural equation modeling was employed to analyze the results. A significant relationship was found between technology, task, and social features with TTF for utilizing social media for academic purposes, all of which fostered student enjoyment and improved outcomes. Similarly, a clear relationship was found between comprehension efficiency, ease of use, and enjoyment with behavioral intentions to utilize social media for academic purposes that positively affected satisfaction and achievement. Therefore, the study indicates that TTF and behavioral intentions to use social media improve the active learning of students and enable them to efficiently share knowledge, information, and discussions. We recommend that students utilize social media in pursuit of their educational goals. Educators should also be persuaded to incorporate social media into their classes at higher education institutions.
Qusay Al-Maatouk; Mohd Shahizan Othman; Ahmed Aldraiweesh; Uthman Alturki; Waleed Mugahed Al-Rahmi; Abdulmajeed A. Aljeraiwi. Task-Technology Fit and Technology Acceptance Model Application to Structure and Evaluate the Adoption of Social Media in Academia. IEEE Access 2020, 8, 78427 -78440.
AMA StyleQusay Al-Maatouk, Mohd Shahizan Othman, Ahmed Aldraiweesh, Uthman Alturki, Waleed Mugahed Al-Rahmi, Abdulmajeed A. Aljeraiwi. Task-Technology Fit and Technology Acceptance Model Application to Structure and Evaluate the Adoption of Social Media in Academia. IEEE Access. 2020; 8 (99):78427-78440.
Chicago/Turabian StyleQusay Al-Maatouk; Mohd Shahizan Othman; Ahmed Aldraiweesh; Uthman Alturki; Waleed Mugahed Al-Rahmi; Abdulmajeed A. Aljeraiwi. 2020. "Task-Technology Fit and Technology Acceptance Model Application to Structure and Evaluate the Adoption of Social Media in Academia." IEEE Access 8, no. 99: 78427-78440.
Social media (SM) provide new opportunities to foster collaboration and engagement between students. However, the moderating effect of cyberstalking and cyberbullying on the relationship between students’ academic performance and collaborative learning has not yet been addressed. Therefore, this study aims to bridge the literature gap concerning the use of SM and explore its effect on student performance through Cyberstalking and cyberbulling. A questionnaire was designed based on both the Technology Acceptance Model and Constructivism Theory for data collection. It was handed to 538 university students. This study found a significant relationshipbetween social presence, perceived usefulness, perceived ease of use, and perceived enjoyment with SM use. As shown by the use of communication and communication indicated by the results, SM is a powerful tool for developing and enhancing educational settings. However, this study found a negative relationship between student interactions and SM use. A positive relationship was found from SM use on collaborative learning and student performance that was dampened by Cyberstalking, which is considered a dampening factor and a moderator. Moreover, collaborative learning was reported to be negatively influenced by perceived usefulness as Cyberbullying was found to dampen the relationship between student performance and collaborative learning.
Waleed Mugahed Al-Rahmi; Noraffandy Yahaya; Uthman Alturki; Amen Alrobai; Ahmed A. Aldraiweesh; Alhuseen Alsayed; Yusri Kamin. Social media – based collaborative learning: the effect on learning success with the moderating role of cyberstalking and cyberbullying. Interactive Learning Environments 2020, 1 -14.
AMA StyleWaleed Mugahed Al-Rahmi, Noraffandy Yahaya, Uthman Alturki, Amen Alrobai, Ahmed A. Aldraiweesh, Alhuseen Alsayed, Yusri Kamin. Social media – based collaborative learning: the effect on learning success with the moderating role of cyberstalking and cyberbullying. Interactive Learning Environments. 2020; ():1-14.
Chicago/Turabian StyleWaleed Mugahed Al-Rahmi; Noraffandy Yahaya; Uthman Alturki; Amen Alrobai; Ahmed A. Aldraiweesh; Alhuseen Alsayed; Yusri Kamin. 2020. "Social media – based collaborative learning: the effect on learning success with the moderating role of cyberstalking and cyberbullying." Interactive Learning Environments , no. : 1-14.
For the development effective and successful mobile learning applications, it is important to understand the users’ requirements in different stages of usage. In this paper, we developed a new model to study the effect of different factors on mobile learning applications development at the three main stages of usage (static stage, interaction stage and transaction stage). The results of this study showed that each stage of the three stages, static, interaction, and transaction has different requirements in terms of system compatibility, security, information quality, awareness, perceived functional benefit, self-efficacy, perceived image, perceived uncertainty, availability of resources, and perceived trust. In addition, the results demonstrated that the requirements and perceptions of users towards the adoption and use of mobile learning application in the three stages significantly differ. The novelty of this research will be an added value to the body of knowledge and its implications will be vital for researchers and designers who are developing mobile learning applications.
Moahmmed Amin Almaiah; Mahdi M. Alamri; Waleed Mugahed Al-Rahmi. Analysis the Effect of Different Factors on the Development of Mobile Learning Applications at Different Stages of Usage. IEEE Access 2019, 8, 16139 -16154.
AMA StyleMoahmmed Amin Almaiah, Mahdi M. Alamri, Waleed Mugahed Al-Rahmi. Analysis the Effect of Different Factors on the Development of Mobile Learning Applications at Different Stages of Usage. IEEE Access. 2019; 8 (99):16139-16154.
Chicago/Turabian StyleMoahmmed Amin Almaiah; Mahdi M. Alamri; Waleed Mugahed Al-Rahmi. 2019. "Analysis the Effect of Different Factors on the Development of Mobile Learning Applications at Different Stages of Usage." IEEE Access 8, no. 99: 16139-16154.
Mohammed Amin Almaiah; Mahdi M. Alamri; Waleed Al-Rahmi. Applying the UTAUT Model to Explain the Students’ Acceptance of Mobile Learning System in Higher Education. IEEE Access 2019, 7, 174673 -174686.
AMA StyleMohammed Amin Almaiah, Mahdi M. Alamri, Waleed Al-Rahmi. Applying the UTAUT Model to Explain the Students’ Acceptance of Mobile Learning System in Higher Education. IEEE Access. 2019; 7 ():174673-174686.
Chicago/Turabian StyleMohammed Amin Almaiah; Mahdi M. Alamri; Waleed Al-Rahmi. 2019. "Applying the UTAUT Model to Explain the Students’ Acceptance of Mobile Learning System in Higher Education." IEEE Access 7, no. : 174673-174686.
This paper aimed to alleviate the disparity in the literature regarding social media use for collaboration and communication and its influence on the performance of students at higher education. A questionnaire survey on constructivism theory, technology acceptance model, and communication theory were utilized as the key method for collecting data and was circulated among a total of 863 university students. The obtained outcomes of students' behavioral intention to utilize social media to collaborate learning and online communication indicates a positive effect on their academic works in higher education institutes, while male students were not completely satisfied with interaction with peers for collaboration learning. The study indicates that collaboration learning, as well as online communication over social media enhances, the students learning activities and enable to sharing knowledge, information, and discussions, and hence, we recommend students to utilize social media for education purpose and should have encouraged them through lecturers at higher level education institutions.
Nasser Alalwan; Waleed Mugahed Al-Rahmi; Osama Alfarraj; Ahmed Alzahrani; Noraffandy Yahaya; Ali Mugahed Al-Rahmi. Integrated Three Theories to Develop a Model of Factors Affecting Students’ Academic Performance in Higher Education. IEEE Access 2019, 7, 98725 -98742.
AMA StyleNasser Alalwan, Waleed Mugahed Al-Rahmi, Osama Alfarraj, Ahmed Alzahrani, Noraffandy Yahaya, Ali Mugahed Al-Rahmi. Integrated Three Theories to Develop a Model of Factors Affecting Students’ Academic Performance in Higher Education. IEEE Access. 2019; 7 ():98725-98742.
Chicago/Turabian StyleNasser Alalwan; Waleed Mugahed Al-Rahmi; Osama Alfarraj; Ahmed Alzahrani; Noraffandy Yahaya; Ali Mugahed Al-Rahmi. 2019. "Integrated Three Theories to Develop a Model of Factors Affecting Students’ Academic Performance in Higher Education." IEEE Access 7, no. : 98725-98742.
This research intends to investigate factors affecting students’ behavioural intentions to use a massive open online courses (MOOCs) system. Integrating the technology acceptance model (TAM) with the innovation diffusion theory (IDT), the present research proposes an extended technology acceptance model. Testing of data collected from 1148 students using (MOOCs) system in Malaysia achieved the research objective. The findings obtained via a quantitative research method, based on analysing the results using a Structure Equation Modeling (SEM). The outcomes reveal that six views of novelty features swayed students’ a (MOOCs) scheme behavioural objective. The properties of the relative advantages, intricacy, trialability, observability, compatibility, and perceived enjoyment on the perceived ease of use are significant. Also, the effects of the relative advantages, complexity, trialability, observability, compatibility, and perceived enjoyment on the usefulness have a substantial impact. Therefore, the practical outcomes offer robust backing for the integrative method between TAM and IDT. The results recommend a prolonged model of TAM with IDT for the taking of MOOCs) system used to improve students learning performance, which can help decision makers in higher education, universities and colleges to planning, evaluating and executing the use of (MOOCs) systems.
Waleed Mugahed Al-Rahmi; Noraffandy Yahaya; Mahdi Alamri; Ibrahim Youssef Alyoussef; Ali Mugahed Al-Rahmi; Yusri Kamin. Integrating innovation diffusion theory with technology acceptance model: supporting students’ attitude towards using a massive open online courses (MOOCs) systems. Interactive Learning Environments 2019, 1 -13.
AMA StyleWaleed Mugahed Al-Rahmi, Noraffandy Yahaya, Mahdi Alamri, Ibrahim Youssef Alyoussef, Ali Mugahed Al-Rahmi, Yusri Kamin. Integrating innovation diffusion theory with technology acceptance model: supporting students’ attitude towards using a massive open online courses (MOOCs) systems. Interactive Learning Environments. 2019; ():1-13.
Chicago/Turabian StyleWaleed Mugahed Al-Rahmi; Noraffandy Yahaya; Mahdi Alamri; Ibrahim Youssef Alyoussef; Ali Mugahed Al-Rahmi; Yusri Kamin. 2019. "Integrating innovation diffusion theory with technology acceptance model: supporting students’ attitude towards using a massive open online courses (MOOCs) systems." Interactive Learning Environments , no. : 1-13.
Increased impact of technology leads numerous researches to conduct research on the effect of social media on performance. Though, very limited of such studies have tried to observe and record the use of social media for collaborative learning as a way to improve collaborative authoring. This study tries to validation of Technology Acceptance Model (TAM) on social media use for collaborative learning to enhance collaborative authoring among research students. To achieve the study objective, the study employed a questionnaire as the main data collection method and distributed it to 1118 responses of various researchers from Universiti Teknologi Malaysia (UTM) all of whom use social media. The findings were obtained via a quantitative research method, Structural Equation Modeling (SEM-AMOS). The findings from our empirical study indicate that all the hypotheses were supported; the authors of the said study demonstrate that the use of social media positively and significantly related to collaborative authoring through collaborative learning between researchers in higher education. Therefore, the proposed model will help academic and decision-makers formulate strategies that can encourage students and researchers to use social media to improving collaborative authoring through collaborative learning.
Wael M. Alenazy; Waleed Mugahed Al-Rahmi; Mohammad S. Khan. Validation of TAM Model on Social Media Use for Collaborative Learning to Enhance Collaborative Authoring. IEEE Access 2019, 7, 71550 -71562.
AMA StyleWael M. Alenazy, Waleed Mugahed Al-Rahmi, Mohammad S. Khan. Validation of TAM Model on Social Media Use for Collaborative Learning to Enhance Collaborative Authoring. IEEE Access. 2019; 7 (99):71550-71562.
Chicago/Turabian StyleWael M. Alenazy; Waleed Mugahed Al-Rahmi; Mohammad S. Khan. 2019. "Validation of TAM Model on Social Media Use for Collaborative Learning to Enhance Collaborative Authoring." IEEE Access 7, no. 99: 71550-71562.
The aim of this research to develop a model to measure sustainability for education, and incorporating the literature Big Data adoption and knowledge management sharing in the educational environment. This research hypothesize that perceived usefulness, perceived ease of use, perceived risk and behavioural intention to use big data should influence adoption of big data, while age diversity, cultural diversity and motivators should impact knowledge management sharing. Therefore, knowledge management sharing influence behavior intention to use technologies and big data adoption would be positively associated with sustainability for education. This study employed version of TAM and motivation theory as the research framework, and adopted quantitative data collection and analysis methods by surveying 214 university students who were chosen through stratified random sampling. Student responses were sorted into the eleven study constructs and analysed to explain their implication of sustainability on education. The data were then quantitatively analyzed using Structure Equation Modelling (SEM). The results showed that perceived usefulness, perceived ease of use, perceived risk and behavioural intention to use big data were significant determinants of big data adoption, while age diversity, cultural diversity and motivators were significant determinants of knowledge management sharing. The knowledge management sharing, behavior intention to use technologies and big data adoption succeeded in explaining 66.7% of sustainability on education. The findings and implications of this study are provided.
Waleed Mugahed Al-Rahmi; Noraffandy Yahaya; Ahmed A. Aldraiweesh; Uthman Alturki; Mahdi Alamri; Muhammad Sukri Bin Saud; Yusri Kamin; Abdulmajeed A. Aljeraiwi; Omar Abdulrahman Alhamed. Big Data Adoption and Knowledge Management Sharing: An Empirical Investigation on Their Adoption and Sustainability as a Purpose of Education. IEEE Access 2019, 7, 47245 -47258.
AMA StyleWaleed Mugahed Al-Rahmi, Noraffandy Yahaya, Ahmed A. Aldraiweesh, Uthman Alturki, Mahdi Alamri, Muhammad Sukri Bin Saud, Yusri Kamin, Abdulmajeed A. Aljeraiwi, Omar Abdulrahman Alhamed. Big Data Adoption and Knowledge Management Sharing: An Empirical Investigation on Their Adoption and Sustainability as a Purpose of Education. IEEE Access. 2019; 7 (99):47245-47258.
Chicago/Turabian StyleWaleed Mugahed Al-Rahmi; Noraffandy Yahaya; Ahmed A. Aldraiweesh; Uthman Alturki; Mahdi Alamri; Muhammad Sukri Bin Saud; Yusri Kamin; Abdulmajeed A. Aljeraiwi; Omar Abdulrahman Alhamed. 2019. "Big Data Adoption and Knowledge Management Sharing: An Empirical Investigation on Their Adoption and Sustainability as a Purpose of Education." IEEE Access 7, no. 99: 47245-47258.