• Title/Summary/Keyword: Learning Satisfaction Factors

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An Exploratory Study of e-Learning Satisfaction: A Mixed Methods of Text Mining and Interview Approaches (이러닝 만족도 증진을 위한 탐색적 연구: 텍스트 마이닝과 인터뷰 혼합방법론)

  • Sun-Gyu Lee;Soobin Choi;Hee-Woong Kim
    • Information Systems Review
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    • v.21 no.1
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    • pp.39-59
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    • 2019
  • E-learning has improved the educational effect by making it possible to learn anytime and anywhere by escaping the traditional infusion education. As the use of e-learning system increases with the increasing popularity of e-learning, it has become important to measure e-learning satisfaction. In this study, we used the mixed research method to identify satisfaction factors of e-learning. The mixed research method is to perform both qualitative research and quantitative research at the same time. As a quantitative research, we collected reviews in Udemy.com by text mining. Then we classified high and low rated lectures and applied topic modeling technique to derive factors from reviews. Also, this study conducted an in-depth 1:1 interview on e-learning learners as a qualitative research. By combining these results, we were able to derive factors of e-learning satisfaction and dissatisfaction. Based on these factors, we suggested ways to improve e-learning satisfaction. In contrast to the fact that survey-based research was mainly conducted in the past, this study collects actual data by text mining. The academic significance of this study is that the results of the topic modeling are combined with the factor based on the information system success model.

A study on prediction influence factor of Graduate Students inEducation Learning satisfaction, persistence, recommend intention (교육대학원생의 비대면 온라인 강의 만족도, 학습지속의향, 추천 의향에 미치는 예측 요인에관한연구)

  • Kim-Jae Kum
    • Journal of The Korean Association of Information Education
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    • v.26 no.6
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    • pp.517-532
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    • 2022
  • As a result of the this exploratory study the main results show that the factors affecting the satisfaction of non-face-to-face class learning of graduate students in Education were social presence, perceived easy to use, and information service quality. Secondly, the factors affecting the learning persistence were perceived usefulness and social presence, but perceived usefulness's influence was relatively small. Next, it was found that the subjective satisfaction of graduate students of education did not significantly affect their intention to continue learning persistence. Lastly, learning satisfaction and learning persistence had a positive effect on the intention to recommend to others. Through the this empirical analysitics study it demonstrate the factors such as attitudes, feelings, and friendliness toward non-face-to-face online classes perceived by graduate students in Education.

Analysis of structural relationships between self-directed learning, class environment, and learning satisfaction in online classes of high school students (일반고 학생의 자기주도 학습, 온라인 수업 환경 및 학습만족도 간의 구조적 관계분석)

  • Kim, Jin-Cheol
    • Journal of Industrial Convergence
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    • v.20 no.2
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    • pp.21-27
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    • 2022
  • Purpose: The purpose of this study is to investigate the structural relationship between self-directed learning, online class environment, and learning satisfaction of general high school students. 219 12th grade students in Sejong B High School responded to the survey questionnaire. For data analysis, correlation analysis and structural equation models were implemented. Results are as follows. First, there was a moderate or higher correlation between self-directed learning, online class environment, and learning satisfaction. Second, the model fit of the structural model among variables was good. Self-directed learning had an effect on the online class environment, and the online class environment had a positive effect on learning satisfaction. However, self-directed learning had no statistically significant effect on learning satisfaction. The researcher found the implication that learners' online class satisfaction showed a synergistic effect when students' self-directed learning ability and educators' excellent class environment are created. Also, the researcher proposed to analyze online learning satisfaction by comprehensively considering the individual, family, and school factors of various learners.

A Comparative Study on e-Learning Satisfaction between Korea and China (한국과 중국의 이러닝 만족도에 관한 비교연구)

  • Bae, Jae-Hong;Shin, Ho-Young
    • Journal of Digital Convergence
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    • v.18 no.1
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    • pp.369-377
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    • 2020
  • The purpose of this study is to find out the effect of e-learning quality and learner's usage motivation on e-learning satisfaction in Korea and China. In addition, by comparing and analyzing the factors influencing the satisfaction of learners between the two countries, this study aims to suggest the effective use of e-learning. This study surveyed Korean university students at Y and K universities in Gyeongsangbuk-do and Chinese university students at A university in Henan, China. As a result, for Korean university students, it is showed that learning time, learning space, learning process, usefulness, e-learning information quality, and service quality affect e-learning satisfaction. For Chinese university students, learning time, learning process and e-learning system quality, information quality, and service quality were found to affect e-learning satisfaction. Among them, service quality was an important factor influencing e-learning satisfaction in both countries, but the average score of each factor was very low. In the future, we discussed ways to improve service quality.

Effect of Expectancy-Value and Self-Efficacy on the Satisfaction with Metaverse Learning (메타버스를 활용한 교육에 대한 학습자의 기대 - 가치와 자기효능감이 교육 만족도에 미치는 영향)

  • Shin, Ji-Hee;Chung, Dong-Hun
    • Informatization Policy
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    • v.29 no.4
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    • pp.26-42
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    • 2022
  • In order to evaluate the usefulness of metaverse learning from the learner's point of view, this study 1) evaluated whether the expectancy-value of the class was satisfied before and after the learner used the metaverse learning platform and 2) verified factors affecting metaverse learning satisfaction with regard to the self-efficacy and expectancy-value of learners. Expectancy-value was evaluated by the learning effect, communication, class involvement, and learning attitude, whereas self-efficacy was evaluated by preference for task difficulty, self-regulation efficacy, and self-confidence. As a result of a study targeting 70 college students who applied for a few courses using the metaverse platform at a university in the northeastern part of Seoul, learners were found to have high expectations and values for learning before using the metaverse platform, but both were not statistically satisfied after use. In addition, the higher the self-efficacy of the learner, the higher the satisfaction with the metaverse learning, and statistically significant results were found in the task-difficulty preference and self-regulatory efficacy among the sub-factors of self-efficacy. There is a negative causal relationship between expectancy-value factors and satisfaction with metaverse learning. This study implies that it is a learner-centered evaluation of metaverse learning, revealing the expectancy-value effect and factors influencing the satisfaction with metaverse learning.

Relationship between educational satisfaction and learning participation in dental hygiene students (일부 치위생과 학생의 교육만족도와 학습참여도와의 관련성)

  • Hwang, Mi-Yeong;Jang, Gye-Won;Won, Bok-Yeon
    • Journal of Korean society of Dental Hygiene
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    • v.15 no.6
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    • pp.1091-1097
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    • 2015
  • Objectives: The purpose of this study was to examine the relationship between educational satisfaction and learning participation of dental hygiene students. Method: A self-reported questionnaire was completed by 344 dental hygiene students in Gyeonggido, Chungcheongdo, and Gyeongsangdo from June 2 to 24, 2014, The questionnaire consisted of general characteristics of the subjects(3 items), choice reason of dental hygiene(7 items), educational satisfaction(22 items), and learning participation(11 items). The educational satisfaction and learning participation were assessed by Likert 5 points scale. Data were analyzed by a statistical package SPSS WIN 18.0. Results: Educational satisfaction included educational environments, teaching, educational content and educational effect. Learning participation included class flow, class participation and class readiness. Gyeongsangdo students tended to have higher score than other areas. The educational effect and teaching effect had more influence on learning participation. Conclusion: To improve the better dental hygiene education, it is important to prepare the effective educational methods and find out the influencing factors for class immersion.

Exploration of Factors on Pre-service Science Teachers' Major Satisfaction and Academic Satisfaction Using Machine Learning and Explainable AI SHAP (머신러닝과 설명가능한 인공지능 SHAP을 활용한 사범대 과학교육 전공생의 전공만족도 및 학업만족도 영향요인 탐색)

  • Jibeom Seo;Nam-Hwa Kang
    • Journal of Science Education
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    • v.47 no.1
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    • pp.37-51
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    • 2023
  • This study explored the factors influencing major satisfaction and academic satisfaction of science education major students at the College of Education using machine learning models, random forest, gradient boosting model, and SHAP. Analysis results showed that the performance of the gradient boosting model was better than that of the random forest, but the difference was not large. Factors influencing major satisfaction include 'satisfaction with science teachers in high school corresponding to the subject of one's major', 'motivation for teaching job', and 'age'. Through the SHAP value, the influence of variables was identified, and the results were derived for the group as a whole and for individual analysis. The comprehensive and individual results could be complementary with each other. Based on the research results, implications for ways to support pre-service science teachers' major and academic satisfaction were proposed.

A Study on Some 4-year Dental Technology Students Perceptions of Field Learning Environment(FLE) (일부 4년제 치기공학과 학생이 인지한 현장실습교육환경(FLE)에 관한 연구)

  • Hwang, Kyung-Sook
    • 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 Effect of Logistics Education Using Metaverse on Learning Participation and Learning Satisfaction (메타버스 활용 물류 교육이 학습 참여와 학습 만족에 미치는 영향)

  • Cho, Sang-Lee;Shin, Hak-Sung
    • Journal of Korea Port Economic Association
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    • v.39 no.3
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    • pp.61-73
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    • 2023
  • When conducting metaverse-based logistics education, educational, entertainment, and sense of reality were presented as preceding factors as factors that content should have, and the effect on learner satisfaction by mediating learner participation was verified. The results and implications are as follows. First, educational, entertainment, and presence were found to be important factors that can improve learners' participation. Since it is a content provided as part of university education, it can be expected that the educational value will be the highest, but entertainment has been identified as the most influential variable. Therefore, in order for metaverse-based logistics education to induce learners' participation, it is necessary to plan contents that students can enjoy and enjoy. Second, it was found that learner participation has a positive effect on learning satisfaction. Although it is a virtual world, if it is real and you can interact with other learners, you will be satisfied with your learning. Therefore, it is necessary to develop contents that can induce learners' participation in order to continuously provide learning satisfaction when providing metaverse-based logistics education.

Factors of Community Capacity Influencing Rural Community Satisfaction - Moderating Effects of Community Attachment - (농촌 지역사회 주민역량이 지역사회 만족에 미치는 영향 - 지역사회 애착도의 조절효과 -)

  • Kim, Doo-Soon;Kim, Sung-Rok;Park, Duk-Byeong
    • Journal of Agricultural Extension & Community Development
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    • v.24 no.4
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    • pp.279-293
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    • 2017
  • Community attachment is an important variable for affecting community satisfaction. The study aims to identify the factors influencing community satisfaction on rural community capacity. Particularly, the study examine the moderating effects of the community attachment between community capacity and community satisfaction. Data were collected from 289 residents of rural villages through questionnaires. Results of a factor analysis yielded four dimensions of community capacity which are learning opportunity and technique, leadership, grasping problem, and community attitude. Results show that learning opportunity and community attitude among four dimensions of community capacities have significance for community satisfaction. And community attachment among community capacity factors has a positive effects as a moderator between community capacity and community satisfaction. Results also indicated that community attitude has an interactional effects with moderator. It was suggested that community attachment should be considered in rural community development policy.