A Model of Factors Affecting Cyber Bullying Behaviors Among University Students

Al-Rahmi, Waleed Mugahed; Yahaya, Noraffandy; Alamri, Mahdi M.; Aljarboa, Nada Ali; Kamin, Yusri; Moafa, Fahad Abdullah

doi:10.1109/access.2018.2881292

Cited by 55 publications

(46 citation statements)

References 24 publications

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“…Thus, "this research defines social media use at a degree where a student's beliefs social media use would enrich their teaching and learning". These results are consistent with [39,44,45,46], who argued that social media use was easy and useful on teaching and learning. See Table 8 above.…”

Section: A Descriptive and Examination Of Factorssupporting

confidence: 90%

Social Media Use (SMU) for Teaching and Learning in Saudi Arabia

Alyoussef¹,

Alamri²,

Al-Rahmi³

2019

IJRTE

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Abstract: This research aims to explore the factors of teaching and learning measurement through using social media, incorporating the literature of social media adoption on resource sharing, collaborating and communicating for educational purpose. The current research explore factors that perceived usefulness (PU), perceived ease of use (PEU), attitude toward use social media use have certain influence on adoption of resource sharing, collaboration and communication for educational use. Therefore, resource sharing, collaboration and communication influence educational use, while educational use influences PU, PEU, SMU and attitude toward the use (AT) of SMU for teaching and learning. Both the processes of collecting and analyzing the data followed the quantitative method. The main tool of data collection was a questionnaire that has been distributed among 236 students using stratified random sampling technique. The view of the students and their implication of social media use for teaching and learning were solicited through the questionnaire. The Statistical Package for the Social Sciences (SPSS) was used as the main tool in the process of data examination. The results of this research were related to two main constructs: teaching and learning as well as educational use.According to the results, it appears that perceived usefulness, perceived ease of use, attitude toward use, and social media are considered powerful determinants of the former while resource sharing, collaboration and communication were significant indicators of the latter. Educational use, PU, PEU, AT succeeded in explaining 74.9% of SMU for teaching and learning.

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Section: A Descriptive and Examination Of Factorssupporting

confidence: 90%

Social Media Use (SMU) for Teaching and Learning in Saudi Arabia

Alyoussef¹,

Alamri²,

Al-Rahmi³

2019

IJRTE

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“…Figure 1 shows the relationship between interactivity with peers (IN-P) and EN, interactivity with lecturers (IN-L) and EN, ACL and EN, PEOU, PU of SMAs and integration of SMAs for EN among students. Based on previous studies related to the constructivist theory and the TAM model [14,24], this research developed 14 hypotheses of how SMAs can affect SAP in Saudi Arabian higher education. Moreover, frameworks that illustrate the adoption of SMAs are based on a temporary element and its impact on sustainability issues are not available for higher education.…”

Section: Research Model and Hypotheses Developmentmentioning

confidence: 99%

Social Media Applications Affecting Students’ Academic Performance: A Model Developed for Sustainability in Higher Education

2020

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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).

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“…Moreover, it would be advisable to view how this content was proposed to the students [12] and the importance of updating the content for student use. E-learning, social media, and Massive open online courses (MOOCs) users are said to be more likely to have access to the huge store of learning progresses, and this is typically in line with the satisfied of their field of education [34,35,36,37].…”

Section: Fig 2: Path Coefficient Resultsmentioning

confidence: 99%

Students’ Satisfaction of E-Learning using Decision Support Systems (DSS)

Al-Rahmi*,

Alsayed,

Al-kumaim

et al. 2019

IJRTE

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recently, a rapidly increasing type of education that is mostly adopted by higher education in developed countries is known as E-learning. The aim of the research was to evaluating students’ satisfaction of e-Learning. In the current research, both the theory of technology acceptance model (TAM) and the method of employed structural equation modelling (SEM) with Smart PLS were used to examine the process of students' adoption. It has been found that the learning satisfaction was positively influenced by the perceived ease of use (PEOU), perceived usefulness (PU) and intention to use (IU) as witnessed among university students. Significant and positive perceptions towards e-learning and intend to practice it by university students in Malaysia have been observed by this research.

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A Model of Factors Affecting Cyber Bullying Behaviors Among University Students

Cited by 55 publications

References 24 publications

Social Media Use (SMU) for Teaching and Learning in Saudi Arabia

Social Media Use (SMU) for Teaching and Learning in Saudi Arabia

Social Media Applications Affecting Students’ Academic Performance: A Model Developed for Sustainability in Higher Education

Students’ Satisfaction of E-Learning using Decision Support Systems (DSS)

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