• Educational Technology International
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• v.24 no.2
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• pp.203-236
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• 2023

The purpose of this study is to explore the structural relationship between COVID-19-induced sub-dimensions of Online Self-Regulated Learning (OSRL) and satisfaction in online courses conducted in the 'post-COVID-19 era,' as well as to investigate the moderating effects of situational variables such as 'course planning,' 'device type,' and 'course repetition.' To achieve this, the study constructs a measurement model with sub-dimensions of Environment Structuring, Learning Strategy, Help Seeking, and Self-Evaluation as components of OSRL. Participants in this study were selected from university students who enrolled in online courses offered by the Department of Education at University A in the metropolitan area. The research findings reveal several key insights. First, among the sub-dimensions of Online Self-Regulated Learning, Environment Structuring, Learning Strategy, and Self-Evaluation significantly influence satisfaction with online courses. Second, students' satisfaction with online courses significantly influences their intention to continue participating in such courses. Third, 'course planning' during online course hours and 'course repetition' play a moderating role in the relationship between sub-dimensions of Online Self-Regulated Learning and satisfaction. Based on the discussion of these research results, this study concludes by suggesting some future implications and challenges of online courses.

• Journal of Information Technology Services
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• v.22 no.4
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• pp.141-157
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• 2023

The present work aimed to present the development of 'Funt', the augmented reality-based digital app as an educational tool for foreign language learning. Our work further evaluated the learning efficacy of the tool by the assessment of the three dependent measures including learning motivation, learning satisfaction, and learning involvement. With a learning app of 'Funt', students can use AR app to access recognition-based or location-based experiences such that any objects, artifacts, or media appear to be in the app. Students are then able to interact with the digital content by manipulating it to learn more about it. Students's engagement should also increase when they create their own experience in AR to demonstrate their understanding of a particular concept or words. Learning effects were evaluated on survey data collected from a hundred respondents aging six to nine years. One-group design for pre-test and post-test was utilized to examine the differences of learning efficacy by comparing the non-'Funt' group and the Funt group scores. A pairwise t-Test was performed for pairwise comparisons between two learning groups. The results indicate that the 'Funt' group scored significantly higher than the non-'Funt' group in the measures of learning motivation, learning satisfaction, and learning involvement. Overall, our results suggest that 'Funt' attracted the students' attention, provided them with a fun context to learn English vocabulary, and develop positive motivation and satisfaction towards vocabulary learning through AR technology.

• Journal of Technologic Dentistry
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• v.41 no.2
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• pp.137-146
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• 2019

Purpose: This research was to examine some 4-year dental technology students perceptions of field learning environment(FLE). Methods: This study was conducted from October 15th to November 30th, 2017. 163 copies were used as the final analysis data. We surveyed questionnaire 163 of some 4-year dental technology students. The collected data were analyzed using SPSS (Statistical Package for Social Science) 22.0 for windows, and frequency analysis, chi-square test analysis, and correlation analysis were performed. Results: Satisfaction of practicing educator 3.88, satisfaction of clinical practice 3.49, major satisfaction 3.34, and university life satisfaction 3.25. Factors influencing satisfaction with clinical practice were clinical practice place, number of clinical practice sites, work done in clinical practice, and difficulties (p < .05). There was a significant positive correlation between satisfaction with clinical practice and satisfaction with major (P < .05). Conclusion: The results of this study, we were able to check the current field learning environment(FLE) and actual condition of students. Through the investigation of the desired clinical practice, it is anticipated that it will be possible to provide a field learning environment suitable for the course of the field desired by the user.

• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.203-212
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• 2016

The purpose of this study was to determine the effects of simulation practice education applying problem-based learning on problem-solving ability, critical thinking disposition, and learning satisfaction of nursing students. 63 nursing students taking the practice subject for integrated simulation at U University in K region were asked to complete a self-administered questionnaire to collect data before and after the simulation practice. The simulation practice education applying problem-based learning was effective in improving problem-solving ability and learning satisfaction significantly and positive correlation was found among problem-solving ability, critical thinking disposition, and learning satisfaction; that is, the better problem-solving ability, the higher level of critical thinking disposition and learning satisfaction. While the results of this study conducted in nursing students at a single university cannot be generalized, it was confirmed that simulation practice education applying problem-based learning was an effective teaching method in improving problem-solving ability and learning satisfaction of nursing students. It is therefore necessary to give simulation practice education applying problem-based learning on a systematic and continuous basis with the objective of improving problem-solving ability and learning satisfaction and promoting critical thinking disposition.

• East Asian Journal of Business Economics (EAJBE)
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• v.10 no.3
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• pp.1-15
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• 2022

Purpose - This study explored factors of online education that affect student dissatisfaction and learning effectiveness in higher education during the COVID-19 pandemic. Research design, data, and methodology - This study combined qualitative and quantitative designs. The qualitative part of this study involved in-depth interviews using a criteria-based purposive sampling technique. The quantitative part of this study consisted of an online survey. Results - The qualitative results revealed that students faced significant problems related to online learning, including a lack of learning environment, interaction, and support from the school. The quantitative results indicated that the effects of transitioned-online courses on student dissatisfaction were higher with student support, the interaction between students and instructors, online learning environment, and course organization and evaluation based on the order, while the effects on learning effectiveness were higher with the online learning environment, interaction between students and instructors, course organization and evaluation, and student support based on the order. Conclusion - The results implied that online learning in the era of the COVID 19 pandemic negatively affects student satisfaction and learning effectiveness. Policymakers and school leaders should improve students' satisfaction and learning effectiveness when confronted with the pandemic. Better policies should be adopted to improve better way of teaching in the era of COVID19.

• Journal of Korean Elementary Science Education
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• v.23 no.4
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• pp.326-331
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• 2004

In this study, the relationships among self-directed learning ability, science teaching efficacy beliefs (personal science teaching efficacy and science teaching outcome expectation), life satisfaction, job satisfaction, and other background variables of elementary school teachers were investigated. A survey was administered to 234 teachers from 25 elementary schools in Jeonju. It was found that self-directed learning ability of the teachers was significantly correlated with their personal science teaching efficacy, science teaching outcome expectation, life satisfaction, job satisfaction, and age. A stepwise multiple regression analysis revealed that personal science teaching efficacy, life satisfaction, science teaching outcome expectation, and age were the significant predictors on their self-directed learning ability.

• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.190-198
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• 2023

To enhance customer satisfaction for higher profits, an e-commerce sector can establish a continuous relationship and acquire new customers. Utilize machine-learning models to analyse their customer's behavioural evidence to produce their competitive advantage to the e-commerce platform by helping to improve overall satisfaction. These models will forecast customers who will churn and churn causes. Forecasts are used to build unique business strategies and services offers. This work is intended to develop a machine-learning model that can accurately forecast retainable customers of the entire e-commerce customer data. Developing predictive models classifying different imbalanced data effectively is a major challenge in collected data and machine learning algorithms. Build a machine learning model for solving class imbalance and forecast customers. The satisfaction accuracy is used for this research as evaluation metrics. This paper aims to enable to evaluate the use of different machine learning models utilized to forecast satisfaction. For this research paper are selected three analytical methods come from various classifications of learning. Classifier Selection, the efficiency of various classifiers like Random Forest, Logistic Regression, SVM, and Gradient Boosting Algorithm. Models have been used for a dataset of 8000 records of e-commerce websites and apps. Results indicate the best accuracy in determining satisfaction class with both gradient-boosting algorithm classifications. The results showed maximum accuracy compared to other algorithms, including Gradient Boosting Algorithm, Support Vector Machine Algorithm, Random Forest Algorithm, and logistic regression Algorithm. The best model developed for this paper to forecast satisfaction customers and accuracy achieve 88 %.

• Journal of The Korean Society of Integrative Medicine
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• v.9 no.2
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• pp.53-61
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• 2021

Purpose : The purpose of this study is to explore the effectiveness of online blended learning(asynchronous online learning class 1+synchronous online learning class 2) method and discuss the applicability of online blended learning. In this study, we will analyze the differences in class satisfaction and academic achievement between asynchronous online learning and online blended learning classes, and discuss the strengths, weaknesses, and satisfactions of online blended learning. Methods : The subjects of this study were 39 of the occupational therapy students who took the 'child development' course. Asynchronous online learning class was applied for 1-6 weeks and online blended learning was applied for 9~14 weeks. The online blended learning class consisted of 1 hours synchronous online learning and 2 hours asynchronous online learning. For the asynchronous online learning, the screen recording program of OBS Studio was used, and for the synchronous online learning, the Zoom program was used. The results of course evaluation and academic achievement of students according to the type of lecture were compared, and a survey was conducted on the satisfaction of online blended learning. Results : The results of this study are as follows. First, satisfaction(A class: t=-4.19, p=.001, B class: t=-7.94, p=.00) with online blended learning classes was significantly higher than asynchronous online learning. Second, when applying online blended learning class, academic achievement(t=-10.58, p=.00) was significantly higher. Third, the online blended learning class showed the highest satisfaction in improving the interest in the subject, and it was found to be helpful in online class management, professor-student interaction, and class content understanding. Conclusion : We have found that online blended learning can compensate for the shortcomings of online lectures and increase the quality of the lectures and the satisfaction of students. The application of online blended learning should be supplemented according to the characteristics of each class, and I hope that blended online teaching methods can be developed based on new ideas in the future.

• Journal of Oriental Neuropsychiatry
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• v.19 no.2
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• pp.195-207
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• 2008

Objective: The purpose of this study was to compare satisfaction of practice and clinical skill in different participation learning and observation learning, and to offer the basic data to promote quality of nursing education. Method: The study used a quasi-experimental, nonequivalent control group post-test design. The subjects were 62 nursing students of K college in Jeonbuk, and the period of data gathering was limited from 19 Nov. 2006 to 30 Nov. 2006. Experience group was taught by hand-on education and control group was taught by conventional education. The instrument tools included self-efficacy, satisfaction of practice and clinical skill. The collected data were analyzed by SPSS-PC programme. Result: The results of this study were as follows: There was statistically a significance difference between the two group about satisfaction of practice(t=2.011 p=.043), and clinical skill(t=11.997, p=.000). Self-efficacy showed a significantly positive correlation with satisfaction of practice(r=.476, p=.000) and clinical skill(r=.178, p=.014). Also, satisfaction of practice showed a significantly positive correlation with clinical skill(r=.l82, p=.000). Conclusion: In conclusion, this study suggests that hand-on education is an effective learning method to nursing students. By utilizing hand-on education, makes nursing students plan self-directed nursing performance and improve their clinical skills.

• Knowledge Management Research
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• v.15 no.2
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• pp.67-88
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• 2014

This study aims to investigate on measuring the success of e-Learning. For this purpose, we proposed a research model that consists of e-Learning contents quality, e-Learning system quality, e-Lecturing quality, sense of e-Learning community factors as independent factors and e-Learning and e-Learning satisfaction as mediators and tested it empirically based on the structural equation model. The empirical results showed that e-Learning contents quality, e-Learning system quality, sense of e-Learning community factors directly lead to e-Learning. The study also found that e-Learning contents quality, e-Lecturing quality, sense of e-Learning community factors bring about higher e-Learning satisfaction and that e-Learning satisfaction has a positive impact on e-Learning. Furthermore, the research discovered that both e-Learning and e-Learning satisfaction have a significant relationship with e-Learning net benefits. This research renders its theoretical contribution to analyzing a positive influence of sense of e-Learning community, a newly suggested variable added to the existing IS success model in this study, on e-Learning. From a practical view, the findings of this study can lead to improving the quality of e-Learning in today's era where the growth of e-Learning industry is quite noticeable.