A Structural Equation Modeling among Social Presence, Course Satisfaction, and Academic Achievement of Learners at a Cyber University

2011 ◽  
Vol 12 (4) ◽  
pp. 315-334 ◽  
Author(s):  
최부기 ◽  
JUSUNG JUN
2017 ◽  
Vol 4 (2) ◽  
pp. 75-81 ◽  
Author(s):  
Vincent Valiant Coa ◽  
Johan Setiawan

Snapchat, and Instagram are two social networks which recently gain their users after adopting such a feature called "Story" which allows a certain post to be disappeared after a certain time. This research takes up this technology trends analyzing the factors that probably affect the behavioral intention to use Snapchat and Instagram stories among generation Z. Factors are analyzed using Structural Equation Modeling, with basis model and variables from Technology Acceptance Model. Data collection was targeted to finished within 1 week using online questionnaire with respondent from Jakarta and Tangerang for 100 respondent that are using both Snapchat stories and Instagram Stories. There are two tools researcher usually use to analyze Structural Equation Modeling: SPSS AMOS and LISREL. In this research, researchers choose AMOS. From six hypothesis proposed for Snapchat analysis, four hypothesis is accepted, while the other two are rejected. Meanwhile, on Instagram Stories analysis, five hypothesis is accepted and one hypothesis is rejected. This study finds out the Social Presence is an exogenous variable which has a major role in affecting other variables. While Perceived Enjoyment influenced the behavioral intention to use Snapchat and Instagram Stories the most. Index Terms—Structural Equation Modeling, Technology Acceptance Model, influence, generation Z, Snapchat, Instagram REFERENCES [1] L. Chin and Z. Ahmad, "Perceived Enjoyment and Malaysian Consumers’ Intention to Use a Single Platform EPayment", SHS Web of Conferences, vol. 18, 2015. [2] M. Ariff, T. Shan, N. Zakuan, N. Ishak and M. Wahi, "Examining Users' E-Satisfaction in the Usage of Social Networking Sites; Contribution from Utilitarian and Hedonic Information Systems", IOP Conference Series: Materials Science and Engineering, vol. 58, 2014. [3] K. Hassanein and M. Head, "Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping", International Journal of HumanComputer Studies, vol. 65, no. 8, pp. 689-708, 2007. [4] P. Surendran, "Technology Acceptance Model: A Survey of Literature", 2012. [5] F. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", MIS Quarterly, vol. 13, no. 3, p. 319, 1989


2012 ◽  
Vol 9 (7) ◽  
pp. 1012-1019 ◽  
Author(s):  
Hairul A. Hashim ◽  
Golok Freddy ◽  
Ali Rosmatunisah

Background:The current study was undertaken to examine the associations between self-determination, exercise habit, anxiety, depression, stress, and academic achievement among adolescents aged 13 and 14 years in eastern Malaysia.Methods:The sample consisted of 750 secondary school students (mean age = 13.4 years, SD = 0.49). Participants completed self-report measures of exercise behavioral regulation, negative affect, and exercise habit strength. Midyear exam results were used as an indicator of academic performance. Structural equation modeling was used to analyze the data.Results:The results of structural equation modeling revealed a close model fit for the hypothesized model, which indicates that higher levels of self-determination were positively associated with habituated exercise behavior. In turn, exercise habit strength fostered academic achievement and buffered the debilitative effect of stress, depression, and anxiety on student academic performance. The analysis of model invariance revealed a nonsignificant difference between male and female subjects.Conclusion:The findings support the notion that habituated exercise fosters academic performance. In addition, we found that habituated exercise buffers the combined effects of stress, anxiety and depression on academic performance. The finding also supports the roles of self-determination in promoting exercise habituation.


2016 ◽  
Vol 20 (3) ◽  
Author(s):  
Kadir Kozan

The present study investigated the relationships among teaching, cognitive, and social presence through several structural equation models to see which model would better fit the data. To this end, the present study employed and compared several different structural equation models because different models could fit the data equally well. Among the models compared, the results indicated that the model with cognitive presence as a full mediator and the model with social presence as a partial mediator could achieve an equally satisfactory data fit. This conclusion may depend on the level of the presences: The present results indicated a statistically higher level of teaching presence than cognitive and social presence as well as a statistically higher level of cognitive presence compared to social presence. The results further suggested that teaching presence could either have a direct or indirect relationship with cognitive presence thereby increasing it without or with social presence as a mediator between teaching and cognitive presence. The results further suggested that teaching presence efforts spent on increasing cognitive presence can function directly, which may also promote social presence, and indirectly through social presence. Further research comparing different possible structural equation models of the relationships among the presences in different learning contexts is warranted.


Author(s):  
Richard Basilisco ◽  
Fortune Edem Amenuvor ◽  
Kwasi Owusu-Antwi ◽  
Choi Jae Hyeok

The phenomenon of social cohesion has gained much traction in the extant literature. However, research that assesses how celebrity self-disclosure can be leveraged to engender social cohesion remains very scanty in the existing literature. The current study aims at empirically testing the effect of celebrity self-disclosure on social cohesion while accounting for the roles of fans’ behavior, social presence and attachment to celebrities. To realize this aim, data is collected from 306 Instagram users who follow at least one celebrity. The hypothesis intended to realize these aims are tested by adopting structural equation modeling technique. The results show that celebrities’ descriptive self-disclosure (but not emotional self-disclosure) influences fans’ archiving and commenting behavior. Additionally, celebrities’ emotional self-disclosure (but not descriptive self-disclosure) as well as fans’ commenting, and archiving behaviors are instrumental in predicting fans’ social presence. The study further finds that fans’ social presence is essential in predicting their attachment to celebrities, while their (fans’) attachment to celebrities and social presence are significant antecedents of social cohesion. Furthermore, attachment to celebrities is found to significantly mediate the relationship between social presence and social cohesion. The study provides practical and theoretical insights into understanding social cohesion, celebrity self-disclosure, fans’ behavior, social presence and attachment to celebrities.


2019 ◽  
Vol 12 (3) ◽  
pp. 24 ◽  
Author(s):  
Huei-Ju Shih

Factors that contribute to learning achievement have always been a primary research concern in the field of education. In the field of second/foreign language (L2) learning, researchers have been trying to explore many important factors that are linked to successful learning and how these factors may predict the success of language learning. With respect to the factors contributing to language proficiency, many researchers endeavor themselves to the exploration of assisting the learners. The present study aims to explore whether or not the following factors would influence learners’ academic achievement: the process of goal-setting, the L2 anxiety, the effort the learners put into, self-efficacy together with self-regulatory strategies. A total number of 356 senior high school students who were learning English as a Foreign Language participated in the study. A new questionnaire was developed to measure and collect the participants’ responses in respect to the above-mentioned learning factors. In order to investigate the relationships among these factors and the learners’ academic performance, the structural equation modeling (SEM) was used to identify the best fit model. It was found that self-efficacy, L2 anxiety, together with goal-setting processes, are prerequisites for the application of effective self-regulatory strategies, which in turn play an important role in affecting the intended efforts the learners make, and consequently influence the learners’ achievement. According to the findings, we suggest the teacher elevate the students’ self-efficacy, lower the L2 anxiety, help set their learning goals, cultivate their capability of employing strategies and increase their intended effort.


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