• 대한간호학회지
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• 제40권2호
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• pp.182-190
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• 2010

Purpose: This study was done to identify self-directed learning readiness, achievement goal orientations, learning satisfaction and learning achievement, and to evaluate the factors affecting learning achievement for nursing students using a web-based Health Assessment e-Book. Methods: The research design was a cross-sectional study with a structured questionnaire and data were collected before using the web-based Health Assessment e-Book and 1 week after finishing. The participants were 80 nursing students who were taking the Health Assessment class from March to June 2009. Results: Mean score for subjective learning achievement was 31.26 and for objective learning achievement, 69.25. Subjective and objective learning achievement were positively correlated with self-directed learning readiness, mastery goal, attitude toward distance education, and learning satisfaction. In subjective learning achievement, learning satisfaction and mastery goal were significant predictive factors and explained 64% of the variance. Objective learning achievement was significantly predicted by learning satisfaction and self-directed learning readiness, which explained 24% of the variance. Conclusion: Learning satisfaction, mastery goal and self-directed learning readiness were found to be very important factors associated with learning achievement for nursing students using a web-based Health Assessment e-Book. To provide high quality and effective web-based courses and to improve nursing students' learning achievement and learning satisfaction, educators should consider the learner's characteristics from the initial stages of lecture planning.

• Journal of Information Technology Applications and Management
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• 제16권1호
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• pp.37-50
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• 2009

The benefits of an e-learning system will not be maximized unless learners use the system. This study proposed and tested models that seek to explain students' satisfaction withe-learning systems. A survey was performed at a women's college in Korea, where students experimentally could choose to register one same course either through e-learning or class-room learning. The questionnaire was filled up by students who took e-learning option. independent variables include expected benefits, familiarity with technology, social influence, and accessibility. Dependent variables include the level of satisfaction, academic achievement, and the amount of the use of systems.

• Educational Technology International
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• 제22권2호
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• pp.227-253
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• 2021

Perceived game realism (PGR) has recently emerged as a key concept in explaining the mental processing of digital game playing and the societal impact of digital games. However, few studies have examined its conceptualization and educational effects from an empirical viewpoint, especially in educational games. This study's participants included 292 university students in South Korea. A total of 212 questionnaires were valid and used for the analyses. They learned English expressions using a computer-based educational game and then completed questionnaires on the research variables. We investigated six factors of PGR: simulational realism (SIR), freedom of choice (FRC), perceptual pervasiveness (PEP), social realism (SOR), authenticity (AUT), and character involvement (CAI). We expected the factors to have valid effects on the university students' flow and learning satisfaction after a game-based learning (GBL) experience. Our research results demonstrated a causal relationship between SIR, FRC, CAI, and learning satisfaction. Furthermore, the indirect effects of SIR and CAI on learning satisfaction through flow were statistically significant.

• Educational Technology International
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• 제24권1호
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• pp.29-51
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• 2023

This study examined the moderating effect of course satisfaction with class on the relationship between the mode of course delivery and learning presence and performance in university settings. Results showed that there was a moderating effect of the course satisfaction on the relationship between course delivery mode and learning presence. Specifically, higher satisfaction with instructor's teaching activities was associated with improved learning presence in face-to-face, blended, and online learning, in that order. However, there was no significant moderating effect on academic performance. These findings suggest that universities should consider not only the mode of course delivery and highlight the importance of systematic course design by instructors.

• 디지털산업정보학회논문지
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• 제14권1호
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• pp.103-120
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• 2018

Global conglomerates in the late 2010s are seeking changes from the existing method of financial growth into that of sustainable growth, as they are facing the age of 4th industrial revolution. In preparation for this change of the times and to stay competitive, small businesses are required to produce creative knowledge, and systematically share and store it by means of implementing voluntary and specific changes in their convictions and actions. This study aims to empirically examine how the ICT small businesses' organizational learning participants' self-leadership affect their job satisfaction through organization orientation and Leader-Member Exchange(LMX). The research sample consists of the first to third-year employees that have previously participated in the small businesses' organizational learning support project, and of learning leaders, group leaders, and group members from companies that have previously concluded the project. The results are as follows: First, the self-leadership at the ICT small businesses' organizational learning project has been shown to have a positive effect on job satisfaction. The same positive results are shown in learning orientation and LMX. Second, the learning orientation has been shown to have a positive effect on job satisfaction. Third, the LMX has been shown to have a positive effect on job satisfaction.

• 한국간호교육학회지
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• 제16권1호
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• pp.33-42
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• 2010

Purpose: The purpose of this study was to ascertain the degree of students' educational satisfaction according to their Problem-based learning strategy. Method: The subjects were 277 nursing students in C College. A questionnaire modified by researchers was used and analyzed by the SPSS WIN 12.0 program. Result: This study showed that there's a positive relationship between the level of students' educational satisfaction and their learning strategies, including collaborative, self-directed, self-expression and time management strategies. Those who were in the second year and those who have considered temporary absence from school and/or change of academic courses used the least learning strategies and showed the lowest level of educational satisfaction. The top three learning strategies influencing educational satisfaction were time management, collaborative strategies and self-directed strategies respectively. Self-expression strategy was not statistically significant as an influencing factor on educational satisfaction. Conclusion: The more learning strategies that are used, the higher the level of educational satisfaction as a whole. Further studies on how to increase student's educational satisfaction and a way to advance in learning strategies are recommended.

• 대한방사선기술학회지:방사선기술과학
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• 제43권6호
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• pp.519-524
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• 2020

This study developed radiation therapy contents based on virtual reality technology and applied them to radiation students. A survey was conducted to analyze the relationship between learning effects and learning satisfaction to students who used virtual reality education videos to analyze their learning performance. 71 students radiology department were classified into two groups one that experienced virtual reality and the other that did not experienced virtual reality. We surveyed between the two groups analyzed self-directed learning, self-learning efficacy and learning satisfaction. As a result, the comparison between the two groups showed no difference between self-directed learning and self-learning efficacy. But the learning satisfaction was significant from 2.64±0.83 to 3.20±0.88 in the problem solving process for groups applying virtual reality contents. Therefore, learning satisfaction has improved experienced group virtual reality content and the materials for virtual reality education can be applied more efficiently in non-face-to-face lectures.

• 한국비블리아학회지
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• 제34권3호
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• pp.255-272
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• 2023

본 연구는 문헌정보학과 학생을 대상으로 블렌디드 러닝을 적용한 전공 교과목 운영이 학습몰입도, 결과성취도, 학습만족도에 어떠한 영향을 미쳤는지 효과를 측정 및 분석 후, 학생 중심형 수업을 보다 활성화하기 위한 시사점을 모색하기 위해 수행하였다. 그 결과 첫째, 블렌디드 러닝 수업 운영 후 학습몰입도, 결과성취도, 학습만족도의 사전 및 사후 비교분석을 통해 사후조사 평균 점수가 높은 것으로 나타났다. 둘째, 학습몰입도 요인 중 학업사유인지, 학업집중, 흥미성, 통제감 등 모든 요인에서 유의미한 결과가 나왔으며 특히 학업집중과 통제감의 효과가 높게 나타났다. 셋째, 결과성취도 요인 중 성취동기, 만족감, 관계활용능력, 수업태도 등 모든 요인에서 유의미한 결과가 나왔으며 특히 만족감과 관계활용능력의 효과가 높게 나타났다. 넷째, 학습만족도 요인은 일반만족도와 학습관련 만족도 등 모두 효과가 매우 높게 나타났다. 이로써 블렌디드 러닝을 적용한 전공 교과목 운영은 문헌정보학과 학생들에게 효과가 있다는 것으로 파악되었다.

• 디지털산업정보학회논문지
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• 제13권3호
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• pp.105-113
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• 2017

Considered as the "new normal" mode of learning, BL has become popular in recent years especially in University education. BL is defined as a learning approach that combines e-learning and face-to-face classroom learning. BL allows for more interactive and reflective learning environment resulting in enhancing learner-directed learning. The adoption of BL in university has made it significant to probe the crucial determinants that would entice instructors and learners to use BL and enhance learning satisfaction. The primary purpose of this study is to investigate the affecting factors of the satisfaction of BL in universities in terms of leaner's aspects. Learner's role is very important in BL, because learner should self-directed study for effective performance and satisfaction in BL environment. Based on prior studies motivation, self-efficacy, and educational expectancy were identified as affecting factors of satisfaction in BL. According to the result of multiple regression, all factors(motivation, self-efficacy, and educational expectancy) were found to be significantly related to the learner's satisfaction in BL. It can provide practical guideline on effective operation strategy for BL in universities.

• International Journal of Computer Science & Network Security
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• 제23권8호
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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 %.