• Educational Technology International
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• v.23 no.2
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• pp.207-237
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• 2022

As technological changes continue to accelerate every day, meeting the needs of a shifting educational landscape requires leaving an exclusively "in-person" education behind. Gamified learning environments should be carefully designed in light of conflicting studies to suit students' needs. The purpose of this meta-analysis is to draw conclusive results regarding the application of the most commonly used game elements in education, i.e., badges and leaderboards, through a comprehensive analysis of their impact on academic performance in online learning. Review Manager (RevMan 5.4) was used to analyze eligible studies selected from Emerald, SAGE, ERIC, EBSCO, and ProQuest between January 2011 and January 2022. Analyzing 37 studies found that using leaderboards and badges in online education enhanced academic performance when compared to traditional learning without gamification (SMD = 0.39). The badge-only intervention showed a larger effect size (SMD = 0.33) than the leaderboard-only intervention (SMD = 0.27). Badges and leaderboards together exhibited a larger effect size (SMD = 0.48) than individual game elements (SMD = 0.40). The impact of the game elements on academic performance was greater in the humanities (SMD = 0.51) than in STEM fields (SMD = 0.32) and was greater for K-12 students (SMD = 0.63) than for college students (SMD = 0.31). This study contributes to a timely discussion of the use of badges and leaderboards in COVID-19 online learning trends and provides relevant data for designing integrations of online education and gamification models.

• Journal of Information Technology Applications and Management
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• v.13 no.2
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• pp.127-143
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• 2006

As the number of Internet users increases, online shopping malls are gradually flourishing and sales are continuously growing. However, since consumers are not able to check what they purchase when buying products on the Internet, they are bound to have higher risk perception than buying directly from off-line stores. Especially, sporting goods require a special attention because a preliminary test is important. Therefore, the risk perception is much higher when people purchase sporting goods online. This study first identifies the multi-dimensionality of risk perception. Then, it investigates whether online purchasing experience of sporting goods makes differences in the level of risk perception. In addition, it examines whether the risk perception by those who had an experience in purchasing sporting goods online affects the customer satisfaction. This study has identified five dimensions in the concept of risk perception, such as financial risk, performance risk, security risk, delivery risk, and psychological/physical risk. A statistical analysis shows that people without an experience in purchasing sporting goods online have perceived significantly higher performance risk, security risk, and psychological/physical risk than those with online purchasing experiences. Finally, this study has found that delivery risk, financial risk, and psychological/physical risk have significant negative influences on the customer satisfaction.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.1
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• pp.127-139
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• 2009

Recently a rapid development of Information Technology including Internet have brought new way of education such as Distance education, Cyber University, Home Schooling and so on. This change of education have also brought about the change of a tool and medium for education. It is a using multimedia contents in education. Using the multimedia learning contents on line education is considered as one of new way of education and expected to bring learner's better performance. Therefore, it's necessary to research online education contents and its design. In this paper, we discussed how the multimedia contents should be designed to help to reinforce what the learner have learned and researched a critical factor of online contents to effect on learner's better performance.

• Journal of Korea Entertainment Industry Association
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• v.15 no.5
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• pp.1-17
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• 2021

Social distancing caused a sharp industrial stagnation in the performance industry. Due to the continuous industrial downturn, as well as the livelihoods of many related workers, the outlook for the performance industry has reached a point where it is impossible to foresee the future. As a result of seeking various ways to recover from the continuing industrial stagnation, online concerts drew attention as the most effective alternative. Its development potential was highly evaluated as it could provide a performance culture to consumers while complying with social distancing. This study has value in terms of academic contribution as it slightly suggests a direction for the sustainable development of online performances presented as a breakthrough amid the social and industrial stagnation caused by the pandemic. therefore, this thesis describes the changes in the performance industry due to social distancing, and collects and analyzes examples of online performances by type to illuminate the value of online performances as an industry in the pandemic era and develops them. The possibility was reconsidered and the direction to be taken in the future was suggested. In each type of case, the cases focused on social value did not satisfy the economic value of profit creatiom, and even in the opposite case, if the profit creation was satisfied, the analysis result showed that the social value was not satisfied, and the planning intention of each performance was not satisfied. Accordingly, cases such as satisfying both profit creation and social value were also confirmed. Therefore, the direction for online performances was presented through the improvement of technologies and systems and the commercialization of existing platforms.

• Journal of Engineering Education Research
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• v.26 no.3
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• pp.42-48
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• 2023

We compare engineering students' learning performance in introductory Statistics classes of the two class types, traditional in-classroom classes with a few reports and real-time online classes with quizzes. Rates of missing classes and turning in homeworks are also included to explain learning attitude. Scores of quizzes, midterm test and final test are used to assess performance. Upto the midterm, the class type is not significant, but rates of missing classes and turning in homeworks are significant. Since the midterm, in-classroom class type reveals better final performance than real-time online class type, rate of turning in homeworks is significant, but rate of missing classes is not significant.

• International Journal of Costume and Fashion
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• v.13 no.2
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• pp.15-29
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• 2013

Today's technology enables consumers to trade millions of dollars, conduct online banking, access entertainment, and do countless other activities at the click of a button. Online social networks (OSN) have become a cultural phenomenon that allows for individualistic consumerism. Consumers are increasingly utilizing OSN to share ideas, build communities, and contact fellow consumers who are similar to themselves. The relevance of online communities to the music is immense especially because musicians are now using social media to build global audiences. Not only is information about music and performance disseminated online, but musical commodities are sold and traded online. Online music communities allow consumers to elect and create new identities online through the purchase of subcultural commodities. Given the growing economic importance of online music communities it is important to get a holistic view of subcultural communities online. This study utilized content analysis of online music community websites using the Netnography methodology as developed by Kozinet for data collection to analyze consumers' purchasing and consumption behavior of subcultural commodities online as related to the formation of subcultural identities. Findings showed that subcultural items are predominantly purchased online, especially digital music, and there is a need for more custom craft items. The authors presented a new conceptual taxonomy of online subcultural consumer classifications based on online behavior patterns.

• Journal of the Korean Society for information Management
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• v.19 no.3
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• pp.237-261
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• 2002

The purpose of this study is to measure the library online service quality based on the expectation and the service performance from the users' point of view. The online questionnaire was developed based on SERVQUAL, however information quality dimension was added on it, and the survey was conducted within a research library. The factor analysis for effecting library online services showed that 5 service dimensions were loaded discretely, and information quality was put in the other dimension. The IPA (Important Performance Analysis) result confirmed that information quality, service reliability, and service assurance were considered as important factors : multiple regression analysis revealed that tangibility and information quality were the most significant dimension for the library online service.

• Knowledge Management Research
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• v.17 no.3
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• pp.45-64
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• 2016

As the digital retail environement becomes prevalent, consumers are given greater opportunities to make purchases across physical and digital boundaries. Prior research emphasizes that the attractiveness of the digital or online channel is relatively determined by spatial specifics of physical locations. The overall market trend combined with prior research suggests that understanding spatial specifics becomes a key to managing both offline and online sales performance together. In this study, we focus on geographic variation in sales performance through offline and online channels and aim to investigate the channel-level sales difference between central and subsidiary areas. To this end, we obtain sales data of skincare and makeup products from a leading cosmetic company. Next, we examine spatial autocorrelations in data and then employ the spatial error models to study the effects of spatial specifics. The empirical findings are as follows. First, there are significant differences in category-specific and channel-level sales between central and subsidiary areas. Second, Moran's I statistics demonstrate the spatial autocorrelations of each variable. Third, spatial error models outperform simple regression models with lower AIC values. Finally, spatial specifics play a greater role in understanding online sales in subsidiary areas whereas they exert greater influence on offline sales in central areas. We believe our study advances the related theory and knowledge of multi-channel retailing and also contributes practically to location-dependent multi-channel strategies and sales data analytics.

• International Journal of Costume and Fashion
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• v.16 no.2
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• pp.25-50
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• 2016

The purpose of the study was to identify dimensions of benefit sought where consumer cross-border online shoppers seek and to examine the effects of the dimensions on expectancy, perceived performance, disconformity and satisfaction with cross-border online shopping. A total of 258 data were gathered and analyzed using SPSS 22.0. The results of the study identified that six dimensions of benefit sought of cross-border online shopping, which were economic-efficiency, convenience, uniqueness, scarcity, superiority and conformity seeking. There were significant effects of economic-efficiency, scarcity and uniqueness seeking on the expectancy, perceived performance, and satisfaction. In addition, consumers were segmented as four clusters classified using benefit sought of cross-border online shopping. The four clusters were labeled as "high interest type", "disinterested type", "unique scarcity type", and "price-first unfussy type". The significant differences were found among the clusters in the research constructs of expectancy and disconfirmation theory. The findings of the study suggested practical and managerial implications.

• Educational Technology International
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• v.15 no.2
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• pp.71-88
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• 2014

A variety of studies to predict students' performance have been conducted since educational data such as web-log files traced from Learning Management System (LMS) are increasingly used to analyze students' learning behaviors. However, it is still challenging to predict students' learning achievement in blended learning environment where online and offline learning are combined. In higher education, diverse cases of blended learning can be formed from simple use of LMS for administrative purposes to full usages of functions in LMS for online distance learning class. As a result, a generalized model to predict students' academic success does not fulfill diverse cases of blended learning. This study compares two blended learning classes with each prediction model. The first blended class which involves online discussion-based learning revealed a linear regression model, which explained 70% of the variance in total score through six variables including total log-in time, log-in frequencies, log-in regularities, visits on boards, visits on repositories, and the number of postings. However, the second case, a lecture-based class providing regular basis online lecture notes in Moodle show weaker results from the same linear regression model mainly due to non-linearity of variables. To investigate the non-linear relations between online activities and total score, RF (Random Forest) was utilized. The results indicate that there are different set of important variables for the two distinctive types of blended learning cases. Results suggest that the prediction models and data-mining technique should be based on the considerations of diverse pedagogical characteristics of blended learning classes.