• Human Ecology Research
• /
• v.60 no.2
• /
• pp.187-209
• /
• 2022

The objective of this study was to conduct a 'Theory of Home Economics Education' class using online problem-based learning(PBL) for prospective home economics(HE) teachers. The aim was to enable teachers to analyze the learning experience in the classroom, and to prepare operational strategies for online PBL on this basis. In order to achieve this, online PBL was applied to 31 students participating in the 'Theory of Home Economics Education' at the Department of HE in a university in Seoul, and the results were collected from the learning process. This also involved a reflective journal, a survey on the learning experience and the impacts was conducted. Moreover, analysis was undertaken on the learning activities, learning difficulties, and improvements. The main research results are as follows. Firstly, students accessed Webex, an online video conferencing program, and performed two PBL tasks: 'Making Home Economics Promotion Materials' and 'Presenting Teaching Strategies to Improve Learner's Immersion in Online Classes'. Secondly, learners established their own identity of HE learned about the HE class plans themselves. They also encountered realistic experience as HE teachers and learned communication and collaboration skills. Furthermore, they acquired creative problem-solving and self-directed learning ability, community consciousness, as well as the attitude of consideration and respect. Thirdly, students lacked knowledge of learning content and encountered difficulty in solving data research, analysis processes, and unstructured problems. They were affected by a lack of time and encountered problem in communicating with other team members in an online environment. As an improvement in online class operation, it was considrered necessary to reduce the learning burden by securing time and reducing the number of assignments, as well as to explain active interaction with instructors and PBL.

• Journal of The Korean Association of Information Education
• /
• v.26 no.1
• /
• pp.75-84
• /
• 2022

Currently, education is being conducted through face-to-face classes and instructional design using blended learning, an integrated online and offline model that utilizes online characteristics. As the paradigm of education has changed from face-to-face classes to non-face-to-face classes since COVID-19, teaching methods to respond to changes are required in the educational field. In this paper, as a instructional design model using online, we proposed a instructional design model that conducts online classes in non-real time and then conducts online face-to-face classes using virtual classrooms in real time. In addition, a teaching strategy that can apply the online face-to-face teaching design model using the proposed virtual class room to software classes was presented. The proposed instructional design model will be able to prepare for a paradigm shift in education with a teaching design that can accommodate the characteristics of face-to-face education online.

• Korean Journal of Social Welfare Studies
• /
• v.42 no.2
• /
• pp.155-177
• /
• 2011

This study set out to investigate the effect of internet environment and gender on online sexual violence. The final sample size was 436 college students in Gwangju city, South Korea. Hierarchical regression analysis was used for analysis. The major findings of this study are as follows. First, more frequent usage of internet influenced directly increase of online sexual violence, and influenced also indirectly through favorable attitudes to deviance. Third, gender did not influence online sexual violence directly, but influenced indirectly. Male students' more favorable attitude to deviance affected more frequent online sexual violence. These results suggest that internet environment play a role in facilitating online sexual violence through normalizing or justifying online sexual deviance. And gender also affect online sexual violence indirectly through male students' more favorable attitudes to deviance rather than female. And limitations and implications of this study were discussed with respect to further studies.

• Journal of Fashion Business
• /
• v.27 no.3
• /
• pp.1-18
• /
• 2023

The online shopping industry in China has experienced rapid growth, particularly in the infant goods sector, which is considered highly promising in terms of its growth potential. This growth can be attributed to the Chinese market's increasing economic power, the implementation of new policies concerning marriage and childbirth, changes in family structure, and evolving and diverse consumer demands for infant products. While the infant clothing industry has emerged as a significant player in the Chinese market, there is still a lack of sufficient academic research on the online shopping environment specific to China's infant clothing industry. The objective of this study was to explore the influence of online experiential marketing on brand loyalty and purchase intention among Chinese consumers of children's wear. The study findings indicated that the emotional experience, action experience, and relationship experience encountered by consumers during online interactions had a positive and significant impact on brand loyalty. Both perceptual experience and cognitive experience had a positive and significant influence on consumers' willingness to make a purchase. The study also revealed that brand loyalty had a positive and significant effect on consumers' purchase intention. The perception of online experiential marketing, brand loyalty, and purchase intention varied based on individual attributes, and gender was found to moderate the relationship between online experiential marketing and brand loyalty.

• Fashion & Textile Research Journal
• /
• v.26 no.1
• /
• pp.25-34
• /
• 2024

This study investigates consumer awareness and concerns regarding apparel sizing in the realm of online shopping. A survey was conducted with 450 women aged 18-59 who had engaged in online clothing purchases within the past year. It was observed that consumers shop for clothes online an average of 1.6 times per month, with those under 50 shopping more frequently. The importance of size is higher when buying pants than jackets, especially in online shopping compared to offline purchases. Key references guiding online shopping decisions encompassed product sizing codes, customer reviews, and garment dimensions, which were notably favored by consumers with significant concerns. Respondents opted for Korean-style sizing codes for jackets but chose inch-sizing codes for pants. While awareness of height and weight remains high, knowledge of specific body measurements crucial for clothing size design is lacking, suggesting inadequate communication of size information. Respondents prioritized specific areas for jacket and pants fit, yet the lack of comprehensive self-measurements beyond height and weight might present challenges in determining fit based solely on product dimensions. To address this issue, online retailers should display essential garment dimensions and visually suggest clothing sizes according to various body types. These findings provide valuable insights for online retailers to effectively present size information and lay a foundational framework for consumer size education.

• Journal of Computing Science and Engineering
• /
• v.8 no.1
• /
• pp.57-63
• /
• 2014

User satisfaction has always been important in the success of software, regardless of whether it is closed and proprietary or open source software (OSS). OSS users are geographically distributed and include technical as well as novice users. However, it is generally believed that if OSS was more usable, its popularity would increase tremendously. Hence, users and their requirements need to be addressed in the priorities of an OSS environment. Online public forums are a major medium of communication for the OSS community. The research model of this work studies the relationship between user requirements in open source software and online public forums. To conduct this research, we used a dataset consisting of 100 open source software projects in different categories. The results show that online forums play a significant role in identifying user requirements and addressing their requests in open source software.

• The Journal of Information Systems
• /
• v.26 no.4
• /
• pp.327-353
• /
• 2017

Purpose Social media such as social network services, online forums, and customer reviews have produced a plethora amount of information online. Yet, the information deluge has created both opportunities and challenges at the same time. This research particularly focuses on the challenges in order to discover and track the service defects over time derived by mining publicly available online customer reviews. Design/methodology/approach Synthesizing the streams of research from text analytics, we apply two stages of methods of sentiment analysis and structural topic model incorporating meta-information buried in review texts into the topics. Findings As a result, our study reveals that the research framework effectively leverages textual information to detect, prioritize, and categorize service defects by considering the moving trend over time. Our approach also highlights several implications theoretically and practically of how methods in computational linguistics can offer enriched insights by leveraging the online medium.

• Journal of Communications and Networks
• /
• v.16 no.3
• /
• pp.293-300
• /
• 2014

As energy harvesting communication systems emerge, there is a need for transmission schemes that dynamically adapt to the energy harvesting process. In this paper, after exhibiting a finite-horizon online throughput-maximizing scheduling problem formulation and the structure of its optimal solution within a dynamic programming formulation, a low complexity online scheduling policy is proposed. The policy exploits the existence of thresholds for choosing rate and power levels as a function of stored energy, harvest state and time until the end of the horizon. The policy, which is based on computing an expected threshold, performs close to optimal on a wide range of example energy harvest patterns. Moreover, it achieves higher throughput values for a given delay, than throughput-optimal online policies developed based on infinite-horizon formulations in recent literature. The solution is extended to include ergodic time-varying (fading) channels, and a corresponding low complexity policy is proposed and evaluated for this case as well.

• Fashion, Industry and Education
• /
• v.14 no.1
• /
• pp.10-17
• /
• 2016

The purpose of this study is to examine the difference between perceived challenges measured before and after shopping online for fashion products and their effects in leading to flow. An online survey including an online shopping task was conducted with a national sample of 500 adult consumers recruited in the U.S.A. The paired t-test results show that perceived challenge measured before the task is significantly higher than perceived challenge measured after the task. ANOVA results further show that the interaction effect between skill and challenge on flow is significant only when perceived challenge is measured after that task. Implications of the findings and recommendations for further research are also discussed.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.36 no.12
• /
• pp.1297-1309
• /
• 2012

This study examined the effects of "me-model" body-size discrepancy on consumer's shopping mood, store satisfaction, and intention to revisit two types of online apparel stores (one featuring thin models and one featuring average-sized models). A convenience sample of women (n = 528) participated. Structural equation modeling was used to analyze the data. Participants who were thinner or similar to the models indicated positive shopping moods, a high level of online store satisfaction, and intended to revisit the stores when compared to participants who were larger than the models. Participants preferred the 'average-sized' model. This preference was attributed to the familiarity of the model and ability to effectively evaluate merchandise. The results revealed how models can influence apparel consumers in an online context.