Using a Social Network Game as a Teaching Tool for Visual Merchandising

2015 ◽  
Vol 5 (3) ◽  
pp. 1-16
Author(s):  
Erica O'Toole ◽  
Seung-Eun Lee
Keyword(s):  
College Students ◽  
Social Network ◽  
Student Satisfaction ◽  
Teaching Tool ◽  
Research Paradigm ◽  
Learning Tool ◽  
Design Based Research ◽  
Network Game ◽  
Perceived Enjoyment ◽  
Visual Merchandising

The purpose of this study was to apply a Social Network Game (SNG) for teaching visual merchandising to college students. Based on design-based research paradigm, the present study utilized the EGameFlow model to measure students' perceived enjoyment of using the SNG, Fashion World, in visual merchandising classes. In addition, this study examined which dimensions of EGameFlow were significant indicators of student satisfaction. Findings from this study suggest that the use of an SNG can be an effective tool in teaching visual merchandising. A majority of positive trends in constructs of EGameFlow suggested students enjoyed the use of this SNG as a learning tool. In addition, challenge and immersion were significant indicators of student satisfaction through the game. Discussion and implications for using SNGs as a teaching tool were provided based on the results of this study.

scholarly journals Using a Social Network Game as a Teaching Tool for Visual Merchandising

2017 ◽  
pp. 350-366
Author(s):  
Erica O'Toole ◽  
Seung-Eun Lee
Keyword(s):  
College Students ◽  
Social Network ◽  
Student Satisfaction ◽  
Teaching Tool ◽  
Research Paradigm ◽  
Learning Tool ◽  
Design Based Research ◽  
Network Game ◽  
Perceived Enjoyment ◽  
Visual Merchandising

The purpose of this study was to apply a Social Network Game (SNG) for teaching visual merchandising to college students. Based on design-based research paradigm, the present study utilized the EGameFlow model to measure students' perceived enjoyment of using the SNG, Fashion World, in visual merchandising classes. In addition, this study examined which dimensions of EGameFlow were significant indicators of student satisfaction. Findings from this study suggest that the use of an SNG can be an effective tool in teaching visual merchandising. A majority of positive trends in constructs of EGameFlow suggested students enjoyed the use of this SNG as a learning tool. In addition, challenge and immersion were significant indicators of student satisfaction through the game. Discussion and implications for using SNGs as a teaching tool were provided based on the results of this study.

Assessment of subjective influence and trust with an online social network game

2016 ◽  
Vol 64 ◽  
pp. 233-246 ◽  
Author(s):  
Michael Seufert ◽  
Valentin Burger ◽  
Karl Lorey ◽  
Alexander Seith ◽  
Frank Loh ◽  
...  
Keyword(s):  
Social Network ◽  
Online Social Network ◽  
Network Game

Antecedents and consequences of college students' satisfaction with online learning

2021 ◽  
Vol 49 (8) ◽  
pp. 1-11
Author(s):  
Nam-Hyun Um ◽  
Ahnlee Jang
Keyword(s):  
College Students ◽  
Online Learning ◽  
Student Satisfaction ◽  
Self Efficacy ◽  
Teaching Presence ◽  
Self Management ◽  
Antecedents And Consequences ◽  
Intention To Continue ◽  
Academic Self Efficacy ◽  
Students Satisfaction

We delved into the antecedents and consequences of college students' satisfaction with online learning. We proposed the antecedents would be interactions, teaching presence, self-management of learning, and academic self-efficacy, and that the consequence would be intention to continue to use online learning. Participants were 236 college students in South Korea who completed an online survey. Our findings suggest that students' satisfaction with online learning was positively related to the interactions between students and instructor, teaching presence, self-management of learning, and academic self-efficacy. We also found that student satisfaction with online learning positively predicted their intention to continue to use online learning. Thus, our findings in this study provide educators with ways to increase student satisfaction, and add to knowledge about the relationship between students' satisfaction and their intention to take online courses.

scholarly journals The Effect of Lecturer Competence in Online Learning Methods on Student College Satisfaction During the Pandemic

2021 ◽  
Vol 1 ◽  
pp. 239-250
Author(s):  
Asty Khairi Inayah Syahwani ◽  
Annisaa Soeyono
Keyword(s):  
College Students ◽  
Online Learning ◽  
Data Analysis ◽  
Distance Learning ◽  
Student Satisfaction ◽  
Professional Competence ◽  
College Satisfaction ◽  
Difficult Time ◽  
Student College ◽  
Pls Method

The first quarter of 2020 has been a difficult time for the global community. The Coronavirus (COVID-19) pandemic is affecting various sectors, one of which is education. Physical distancing policies allow learning to be done remotely. Based on the conditions of distance learning, this study wanted to determine the effect of lecturer co mpetence on student satisfaction during a pandemic. The data was collected by distributing questionnaires to college students using purpose sampling. Data analysis using SEM-PLS method. The results showed that social and personality competence had an effect on student satisfaction, but lecturers' pedagogical and professional competence had no effect on student satisfaction during the pandemic. This can be shown from the inadequate infrastructure of distance learning. Lecturers who are needed now are lecturers who have the power of creativity in delivering material so that the delivery of material to students is more interesting and varied in online learning.

scholarly journals Group Relationship Mining of College Students Based on Predictive Social Network

2022 ◽  
Vol 2022 ◽  
pp. 1-9
Author(s):  
Huazhang Liu
Keyword(s):  
College Students ◽  
Social Networks ◽  
Social Network ◽  
Complex Network ◽  
Link Prediction ◽  
Rapid Development ◽  
Combination Method ◽  
Prediction Algorithm ◽  
The Social ◽  
Random Block

With the rapid development of the Internet, social networks have shown an unprecedented development trend among college students. Closer social activities among college students have led to the emergence of college students with new social characteristics. The traditional method of college students’ group classification can no longer meet the current demand. Therefore, this paper proposes a social network link prediction method-combination algorithm, which combines neighbor information and a random block. By mining the social networks of college students’ group relationships, the classification of college students’ groups can be realized. Firstly, on the basis of complex network theory, the essential relationship of college student groups under a complex network is analyzed. Secondly, a new combination algorithm is proposed by using the simplest linear combination method to combine the proximity link prediction based on neighbor information and the likelihood analysis link prediction based on a random block. Finally, the proposed combination algorithm is verified by using the social data of college students’ networks. Experimental results show that, compared with the traditional link prediction algorithm, the proposed combination algorithm can effectively dig out the group characteristics of social networks and improve the accuracy of college students’ association classification.

Social Networks

2012 ◽  
pp. 93-95
Author(s):  
Ngochoai Tran
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Teaching Tool ◽  
Continued Use

Mr. Taylor, a new and techno savvy teacher, stays connected by maintaining his own social network pages. However, after seeing that other students were using his social network page as a medium for negativity, gossip, inappropriate conversations, and unsuitable remarks, he questioned its continued use as a helpful teaching tool for those utilizing it appropriately.

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