Showing 1 - 10 results of 10 for search '"ease of use"', query time: 0.07s Refine Results
  1. 1

    Evaluating student's satisfaction of using social media through collaborative learning in higher education by Othman, Mohd. Shahizan, Al-Rahmi, Waleed Mugahed

    Published 2013
    “…Further, engagement and perceived ease of use was found to be highly correlated with students' satisfaction for using social media for collaborative learning among students.…”
    Article
  2. 2

    Big data adoption and knowledge management sharing: an empirical investigation on their adoption and sustainability as a purpose of education by Al-Rahmi, Waleed Mugahed, Yahaya, Noraffandy, Aldraiweesh, Ahmed A., Alturki, Uthman, Alamri, Mahdi M., Saud, Muhammad Sukri, Kamin, Yusri, Aljeraiwi, Abdulmajeed A., Alhamed, Omar Abdulrahman

    Published 2019
    “…This paper hypothesizes that perceived usefulness, perceived ease of use, perceived risk, and behavioral intention to use big data should influence adoption of big data, while age diversity, cultural diversity, and motivators should impact knowledge management sharing. …”
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    Article
  3. 3

    A model of factors affecting learning performance through the use of social media in Malaysian higher education by Al-Rahmi, Waleed Mugahed, Alias, Norma, Othman, Mohd. Shahizan, Marín, Victoria I., Tur, Gemma

    Published 2018
    “…Based on the obtained results, male and female students’ satisfaction of social media use for collaborative learning and engagement positively affected their learning performance, although in the case of females, they were not fully satisfied with perceived ease of use and usefulness. The study concludes that overall, active collaborative learning and engagement through social media enriches the learning activities of students and facilitates group discussions, and hence, their use should be encouraged in learning and teaching processes in higher education institutions.…”
    Article
  4. 4

    Exploring the factors that affect student satisfaction through using e-learning in Malaysian higher education institutions by Al-Rahmi, Waleed Mugahed, Othman, Mohd. Shahizan, Yusuf, Lizawati Mi

    Published 2015
    “…The model comprises of factors including content of e-learning, interface of e-learning, personalization of elearning, community of e-learning, self-efficacy of e-learning, perceived usefulness, perceived ease of use and intention to use e-learning and their impact on the satisfaction of students. …”
    Article
  5. 5

    Social media based collaborative learning: the effect on learning success with the moderating role of cyberstalking and cyberbullying by Al-Rahmi, Waleed Mugahed, Yahaya, Noraffandy, Alturki, Uthman, Alrobai, Amen, Aldraiweesh, Ahmed A., Alsayed, Alhuseen Omar, Kamin, Yusri

    Published 2020
    “…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. …”
    Article
  6. 6

    Digital communication: information and communication technology (ICT) usage for education sustainability by Al-Rahmi, Waleed Mugahed, Alzahrani, Ahmed Ibrahim, Yahaya, Noraffandy, Alalwan, Nasser, Kamin, Yusri

    Published 2020
    “…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). …”
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    Article
  7. 7

    Social media–based collaborative learning: the effect on learning success with the moderating role of cyberstalking and cyberbullying by Al-Rahmi, Waleed Mugahed, Yahaya, Noraffandy, Alturki, Uthman, Alrobai, Amen, Aldraiweesh, Ahmed A., Omar Alsayed, Alhuseen, Kamin, Yusri

    Published 2022
    “…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. …”
    Article
  8. 8

    Students' perceptions of social networks platforms use in higher education: a qualitative research by Alhussain, Thamer, Al-Rahmi, Waleed Mugahed, Othman, Mohd. Shahizan

    Published 2020
    “…Therefore, this research seeks to identify the interaction elements such as interaction with peers, cooperative learning and engagement for sharing information and perceptual elements such as perceived usefulness and perceived ease of use social networks platforms to improve educational achievement among students. …”
    Article
  9. 9

    Integrating technology acceptance model with innovation diffusion theory: an empirical investigation on students' intention to use e-learning systems by Al-Rahmi, Waleed Mugahed, Yahaya, Noraffandy, Aldraiweesh, Ahmed A., Alamri, Mahdi M., Aljarboa, Nada Ali, Alturki, Uthman, Aljeraiwi, Abdulmajeed A.

    Published 2019
    “…The influences of the relative advantages, observability, trialability, perceived compatibility, complexity, and perceived enjoyment on the perceived ease of use is noteworthy. Moreover, the effects of the relative advantages, complexity, trialability, observability, perceived compatibility, and perceived enjoyment on the perceived usefulness have a strong impact. …”
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    Article
  10. 10

    The influence of information system success and technology acceptance model on social media factors in education by Al-Rahmi, Ali Mugahed, Shamsuddin, Alina, Alturki, Uthman, Aldraiweesh, Ahmed, Mohd. Yusof, Farahwahida, Al-Rahmi, Waleed Mugahed, Aljeraiwi, Abdulmajeed A.

    Published 2021
    “…In addition, both male and female students were satisfied with perceived usefulness (ß = 0.095, t-value = 3.325, p < 0.001 and ß = -0.045, t-value = -2.079, p < 0.001, respectively), perceived ease of use (ß = 0.108, t-value = 3.29, p < 0.001 and ß = 0.307, t-value = 12.365, p < 0.001, respectively), perceived technology fit (ß = 0.14, t-value = 4.769, p < 0.001 and ß = 0.277, t-value = 12.358, p < 0.001, respectively), information quality (ß = 0.108, t-value = 3.825, p < 0.001 and ß = 0.109, t-value = 5.087, p < 0.001, respectively), and system quality (ß = 0.232, t-value = 7.573, p < 0.001 and ß = 0.176, t-value = 7.429, p < 0.001, respectively). …”
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    Article