• 대한치과기공학회지
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• 제43권3호
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• pp.132-137
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• 2021

Purpose: To study the perception and satisfaction of in-person and online classes for dental technology students. Methods: A total of 420 questionnaires were distributed to dental technology students between June 1 and June 30, 2021. Of these, 225 questionnaires were assessed using frequency analysis, one-way analysis of variance, Pearson's Chi-squared test, and independent t-tests via IBM SPSS Statistics ver. 22.0 (IBM). Results: For theory subjects, satisfaction was higher for online classes than in-person classes (p=0.001). For practical subjects, satisfaction was higher for in-person classes than online classes (p=0.002). Both the learning effect and motivation for learning were higher for in-person classes than online classes (p=0.001). Conclusion: When in-person and online classes become coexistent, there should be educational guidelines for improving the quality and effectiveness of learning in these different contexts.

• 공학교육연구
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• 제24권5호
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• pp.53-64
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• 2021

The purpose of this study is to provide implications for designing and implementing non-face-to-face online classes at the College of Engineering in the post-corona era by analyzing the instructors' evaluations and experiences of non-face-to-face online classes operated in the COVID-19 pandemic. According to the overall evaluation results of non-face-to-face online classes from instructors at the College of Engineering, 'instructional design' was the highest among the five areas including instructional design, learning management, learning support, learning evaluation, and instructional outcomes. In addition, the effectiveness of non-face-to-face online experimental or practical classes was found to be relatively low. The results of this study imply that the instructors need to consider several instructional strategies such as active interaction with learners, clear explanation, and the use of technology in non-face-to-face online engineering classes.

• International Journal of Internet, Broadcasting and Communication
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• 제15권1호
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• pp.8-12
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• 2023

With the recent expansion of online lectures, studies on their effectiveness and their influencing factors have increased. This study examines the factors affecting the satisfaction of online classes, considering the utilization and importance of online lectures, which have greatly increased in recent years. Based on the review of previous studies, this study identified learning presence, self-efficacy, and learning immersion as factors affecting the satisfaction of online classes, and suggested hypotheses that explain the relationship between these factors, and empirically reviewed the hypotheses. As a result of the study, it was found that learning presence and self-efficacy had a positive effect on learning immersion, and learning immersion had a positive effect on learning satisfaction. Based on the research results, some practical implications for improving the satisfaction of online classes were suggested.

• 한국융합학회논문지
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• 제13권4호
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• pp.203-211
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• 2022

코로나 19 팬데믹으로 인해 온라인 교육 시장은 전세계적으로 성장했으며, 온라인 교육은 미래 교육을 지배할 것이라는 예상이다. 본 연구는 온라인 수업 만족도 및 온라인 수업 사용 행동 의도에 영향을 줄 수 있는 인간적 요인으로 자기효능감, 시스템 요인들로 인지된 사회적 실재감 및 인지된 교수 실재감의 효과를 살펴보고 있다. 본 연구에는 수업에서 추가 점수를 받은 조건으로 236명의 학생들이 온라인 서베이에 참여했다. 연구결과, 사회적 실재감과 교수 실재감이 높은 사람들은 사회적 실재감과 교수 실재감이 낮은 사람들보다 온라인 수업 만족 및 온라인 수업 행동 의도가 높은 것으로 나타났다. 또한, 본 연구는 자기 효능감이 높은 사람들은 자기 효능감이 낮은 사람들보다 더 높은 온라인 수업 만족 및 온라인 수업 행동 의도를 보인다는 결과를 밝혀냈다. 본 연구는 온라인 수업에서 학생들의 만족도 및 온라인 교육 사용 의도를 높이는데 있어 이론적 그리고 실무적 시사점을 제공한다.)

• 복식문화연구
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• 제30권5호
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• pp.717-731
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• 2022

The purpose of this study is to suggest effective online pedagogical strategies for a fashion design CAD course to enhance student learning and satisfaction. The study investigated student experience of online learning and compared online learning with a face-to-face learning experience. Student concentration, participation, perceptions of effectiveness of teaching, utilization of learning materials, and satisfaction were analyzed using a 5-point Likert scale. Advantages and disadvantages of online learning as well as advantages of face-to-face learning were also analyzed both quantitatively and qualitatively. Student concentration, participation, and perception of effectiveness of teaching were greater for face-to-face learning with significantly higher concentration on individual practice. Students utilized video recording of synchronous online lectures more actively than PDF lecture notes. The advantages of face-to-face learning were plentiful communication and feedback and easy questioning process as well as high levels of understanding and concentration. Meanwhile, major disadvantages of online learning were the speed of the lecture, lower levels of understanding and concentration, limited peer interaction, and technical problems. Major advantages of online learning were flexibility and convenience, repetitive learning through videos, and instant communication and feedback. Students preferred a blended learning approach for the fashion design CAD course. For effective online learning, it is suggested that instructors frequently question and check student practice through screen share in a private online meeting room and engage activities that are demanding of student interaction. The video recording of synchronous online lectures is also suggested as a supplemental learning material for repetitive learning.

• Asia pacific journal of information systems
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• 제25권4호
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• pp.746-762
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• 2015

This study developed a conceptual model that integrated psychological and physical reactions resulting from online tourism reviews through a longitudinal trust-satisfaction model (LSTM) developed based on the extended valence framework and expectation-confirmation theory. Online reviews are essential factor of consumer's purchase decision. This phenomenon is well applied in a tourism context. However, investigations on online reviews in a longitudinal approach in a tourism context are quite limited. Therefore, this study suggests a conceptual model based on LTSM and several propositions about how online tourism reviews, which are divided into factual and experiential reviews, influence the future travelers' perceptions and attitudes, such as expectation, confirmation, and destination loyalty, in a longitudinal format by examining previous related studies. Finally, expected results were discussed and several implications were described theoretically and practically.

• 산경연구논집
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• 제7권3호
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• pp.19-25
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• 2016

Purpose - This study explores the role of construal levels in predicting online consumer behavior on a retail website. It builds on the conceptualization that simply browsing a website and making actual purchases can be an outcome of how abstractly or concretely one thinks about that experience. This study examines the differential effects of intermediary websites' attributes and seller's product offerings in predicting frequency of visits and actual purchases. Research design, data, and methodology - Data were collected from 188 undergraduate students in a large university of Korea. Hierarchical regression model was utilized to test the proposed effect of website characteristics and seller attributes on visit and purchase. Results - We propose and find that online shopping website visits and purchase frequency have different antecedents. The results reveal that website visit frequency and purchase have different predictors and this can be explained through construal level theory. Specifically, we find purchase frequency is predicted more by website image and financial benefits can be more predictive in actual purchases. Conclusions - Consumer behavior on the internet can be delineated into website visits and actual purchases. First, uplifting the image of the website itself is much more important than just making offerings cheaper. Online shopping website should try to match its features to mental representations that customers go through from just visit (abstract) to purchase (concrete).

• 유통과학연구
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• 제14권8호
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• pp.67-75
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• 2016

Purpose - This paper aims to measure the overall satisfaction of online grocery shopping and identify the quality components of online grocery delivery service. Furthermore, we examine the relationship between service quality, customer loyalty, customer satisfaction and intention of repurchase. Research design, data, and methodology - To test hypotheses, data was collected using questionnaires from online grocery shopping customers living in Korean local regions (Daejeon, Cheonan, Sejong). Quantitative research is applied using confirmative factor analysis and multiple linear regressions. Results - On the whole, customers are satisfied with the online grocery shopping. We found that convenience and reliability of grocery delivery service have a positive effect on the customer loyalty and customer satisfaction. Furthermore, we found that customer satisfaction has a mediating effect between convenience, reliability and customer loyalty. However, responsiveness of grocery delivery service does not have a positive effect on the customer loyalty and customer satisfaction. Conclusions - Since the quality of groceries are very sensitive to time and difficult to standardize, we need to analyze the quality components of delivery service unlike other commodities and find relationships with customer satisfaction, customer loyalty and repurchase intention. The results of research will contribute to providing satisfactory service and capturing loyal customers in retail industry.

• 한국의류학회지
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• 제47권4호
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• pp.729-742
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• 2023

This two-part study explores the changes in the types of perceived value and consumption channels for vintage clothing and the relationship between the two variables. In Study 1, we used text mining with the keyword "fashion+vintage." Emotional value was the most frequently mentioned, and environmental value increased the most. We also revealed an increasing trend in online channels for vintage clothing consumption. In Study 2, we analyzed 30 interviews with consumers who had purchased vintage clothing through online channels. We identified 7 attributes and 20 goals for vintage consumption online and pinpointed three strong connections. First, consumers reported high levels of service satisfaction due to the usefulness of algorithms. Second, the authenticity and heritage information available through online and mobile channels were associated with consumers' perceptions of value related to financial benefits. Third, consumers sought to find rare products through online channels, leading to a strong influence on their sense of achievement. Overall, this study proposed ways to increase the value of vintage clothing perceived by consumers through consumption online.

• Educational Technology International
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• 제15권2호
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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.