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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.
This paper is concerned with the application of the spectral tau and collocation methods to delay multi-order fractional differential equations with vanishing delay \(rx\ (0
S. S. Ezz-Eldien; Y. Wang; M. A. Abdelkawy; M. A. Zaky; A. A. Aldraiweesh; J. Tenreiro Machado. Chebyshev spectral methods for multi-order fractional neutral pantograph equations. Nonlinear Dynamics 2020, 100, 3785 -3797.
AMA StyleS. S. Ezz-Eldien, Y. Wang, M. A. Abdelkawy, M. A. Zaky, A. A. Aldraiweesh, J. Tenreiro Machado. Chebyshev spectral methods for multi-order fractional neutral pantograph equations. Nonlinear Dynamics. 2020; 100 (4):3785-3797.
Chicago/Turabian StyleS. S. Ezz-Eldien; Y. Wang; M. A. Abdelkawy; M. A. Zaky; A. A. Aldraiweesh; J. Tenreiro Machado. 2020. "Chebyshev spectral methods for multi-order fractional neutral pantograph equations." Nonlinear Dynamics 100, no. 4: 3785-3797.
In this manuscript, a new numerical approach is developed for approximating the solution of the one-dimensional and two-dimensional Volterra integro-differential equations (2D-VIDEs) of high-order. New operational matrices of integration, based on shifted Jacobi polynomials, are presented and used in combination with the collocation method to convert the 2D-VIDE into a system of algebraic equations. In addition, the convergence analysis of the suggested approach is investigated. The efficiency of the algorithm is demonstrated by means of several examples and the results are compared with those given using other numerical schemes.
Y. Wang; S.S. Ezz-Eldien; A.A. Aldraiweesh. A new algorithm for the solution of nonlinear two-dimensional Volterra integro-differential equations of high-order. Journal of Computational and Applied Mathematics 2019, 364, 112301 .
AMA StyleY. Wang, S.S. Ezz-Eldien, A.A. Aldraiweesh. A new algorithm for the solution of nonlinear two-dimensional Volterra integro-differential equations of high-order. Journal of Computational and Applied Mathematics. 2019; 364 ():112301.
Chicago/Turabian StyleY. Wang; S.S. Ezz-Eldien; A.A. Aldraiweesh. 2019. "A new algorithm for the solution of nonlinear two-dimensional Volterra integro-differential equations of high-order." Journal of Computational and Applied Mathematics 364, no. : 112301.
The data presented in this article are based on provides a systematic and organized review of 219 studies regarding using of Massive Open Online Courses (MOOCs) in higher education from 2012 to 2017. Consequently, the extant, peer-reviewed literature relating to MOOCs was methodically assessed, as a means of formulating a classification for MOOC-focused scholarly literature. The publication journal, country of origin, researchers, release data, theoretical approach, models, methodology and study participants were all factors used to assess and categorise the MOOC. These data contribute to materials required by readers who are interested in different aspects related to the literature of using Massive Open Online Courses (MOOCs) in higher education. Intention to use, interaction, engagement, motivations and satisfaction were five dynamics assessed in relation to the improvement of MOOCs. Students’ academic performance can be influenced by MOOC which has the advantage of facilitating the learning process through offering materials and enabling the share of information.
Waleed Al-Rahmi; Ahmed Aldraiweesh; Noraffandy Yahaya; Yusri Kamin; Akram M. Zeki. Massive Open Online Courses (MOOCs): Data on higher education. Data in Brief 2018, 22, 118 -125.
AMA StyleWaleed Al-Rahmi, Ahmed Aldraiweesh, Noraffandy Yahaya, Yusri Kamin, Akram M. Zeki. Massive Open Online Courses (MOOCs): Data on higher education. Data in Brief. 2018; 22 ():118-125.
Chicago/Turabian StyleWaleed Al-Rahmi; Ahmed Aldraiweesh; Noraffandy Yahaya; Yusri Kamin; Akram M. Zeki. 2018. "Massive Open Online Courses (MOOCs): Data on higher education." Data in Brief 22, no. : 118-125.