• Title/Summary/Keyword: self-learning

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The Effects of an Action Learning-based Nursing Ethics Education on Self-assertiveness and Ethical Values (액션러닝 기반 간호윤리교육이 간호대학생의 자기표현성과 윤리적가치관에 미치는 효과)

  • Kim, Wol Ju;Park, Jin-Hee
    • Journal of muscle and joint health
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    • v.24 no.3
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    • pp.179-186
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    • 2017
  • Purpose: The purpose of this study was conducted to evaluate the effects of an action learning-based nursing ethics education on the self-assertiveness and ethical values in nursing students. Methods: The study was a non-equivalent control group pretest-posttest design. This study was carried out from October 19 to December 11, 2015. Participants were fifty-six undergraduate nursing students who assigned to either an action learning-based nursing ethics education or traditional lecture. Outcomes were measured assessed self-assertiveness and ethical values using questionnaires. Results: There was a significant improvement in the self-assertiveness in the experimental group who received an action learning-based nursing ethics education than the control group who undertook the traditional lecture (p=.017). However, ethical values were not statistically signigicant between two groups (p=.347). Conclusion: This study demonstrated that an action learning-based nursing ethics education for undergraduate students is very effective in promoting self-assertiveness compared to the traditional lecture.

A Study on Self Directed Learning Readiness Among Undergraduate Medical Students Focused on the Case of A University College of Medicine (의과대학생의 자기주도학습 성향 연구 : A의대 사례)

  • Chae, Su-Jin
    • Korean Medical Education Review
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    • v.10 no.2
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    • pp.9-17
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    • 2008
  • A self directed learning(SDL) has been identified as an important ability for medical graduates. The purpose of this study was 1) to measure the SDLR of medical students, 2) to compare the relationship among the student perceptions of assessment, preference of instructional methods with SDLR. This study was conducted in 2006 at A University College of Medicine. The instrument applied to this study was SDLR. Korean version of Guglielmino's SDLR for Adults. The $SPSSwin^{(R)}$ program was used to analyze the data and statistics such as correlation. F-test, and Chi square test. Firstly. the mean scores of the SDLR of first, second. fourth year were 114.8, 107.9 and 106.2. This results showed a significant relationship among years (p<.001). Secondly the relationship between the student perceptions of assessment and SDLR was insignificant. The SDLR high scores students had a tendency to favorite "Discussion" and "Bedside teaching". This study found out the problems of medical education to enhance self directed learning ability for medical students. Further study is needed so that suitable instructional methods for medical students can be conducted in curriculum.

Effecting the e-Self Directed Learning on Career Myths through Future Time Perspective and Decision Making (e-자기주도학습이 미래시간전망과 의사결정을 매개로 진로신화에 미치는 영향)

  • SO, Won-Guen;KIM, Ha-Kyun
    • Journal of Fisheries and Marine Sciences Education
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    • v.27 no.4
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    • pp.901-911
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    • 2015
  • This article starts with a review of the e-self directed learning, future time perspective and decision making, especially in relation to the career myths. In particular, we empirically analyzed the factors affecting the future time perspective and the decision making on the characteristics of career myths(e.g. relatedness of the test myths, the supreme myth and the family myths). Hence the main purpose of this article is to suggest an empirical model explaining how these factors affect e-self directed learning to future time perspective and decision making. Furthermore, we suggested an expanded model about future time perspective, decision making and especially in relation to the career myths. We founded that the e-self directed learning significantly affect the future time perspective and the decision making, also the future time perspective affect the test myths and family myths except the supreme myths and the decision making significantly affect the career myths(i.e., the test myths, the supreme myth, the family myths).

The Effect of Perceived Risk and Technology Self-Efficacy on Online Learning Intention: An Empirical Study in Vietnam

  • DOAN, Thuy Thanh Thi
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.10
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    • pp.385-393
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    • 2021
  • In an effort to find ways to increase the effectiveness of online education, literature and empirical study based on the Technology Acceptance Model (TAM) have addressed a variety of questions, including perceived ease of use (PEU) and perceived usefulness (PU). After TAM, extensive studies have focused on the impact of extrinsic factors on PEU and PU, including Self-efficacy and Perceived Risk. This study aims to analyze the direct, indirect, and moderating effects of Self-efficacy and Perceived Risk on Online Learning Intention (OLI). Data was collected through a survey method from 472 students studying at universities in Vietnam. The collected data was analyzed using the PLS-SEM technique to test the hypotheses. The findings reveal that Technology Self-Efficacy influences the intention to take online courses both directly and indirectly through Perceived Ease of Use and Perceived Usefulness. Besides, Perceived Risk COVID-19 also has a positive effect on online learning intention, and plays a role as a moderating variable on the impact of PU on OLI. These findings suggest that students will have a stronger intention to study online when they are confident in their ability to use technology. When they believe in their ability to use technology, their online learning intention will also increase.

The structural relationships among adolescents'mobile phone dependency, trajectories of depression, and self-regulated learning abilities (청소년의 휴대전화의존도, 우울의 변화 궤적 및 자기조절학습 능력 간의 구조적 관계)

  • Hong, Yea-Ji
    • Human Ecology Research
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    • v.59 no.3
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    • pp.341-351
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    • 2021
  • The purpose of this study was to examine the longitudinal relationships between Korean adolescents'mobile phone dependency, trajectories of depression, and self-regulated learning abilities. To achieve these goals, structural equation modeling analysis was conducted, using the 3rd, 5th and 7th wave of the data on 4th graders taken from the Korean Children and Youth Panel Survey. The results can be summarized as follows. First, growth-curve longitudinal analysis indicates that depression in 6th through 10th grade has increased. Second, mobile phone dependency among adolescents at 6th grade has a significant effect on both the initial value and the rate of change in depression. Also, the initial value and the rate of change in depression have significant relationships with mobile phone dependency at 10th grade. Moreover, both increased levels of mobile phone dependency and the rate of change in depression significantly influence adolescents'self-regulated learning abilities at 10th grade. Based on a longitudinal data set, these findings demonstrate the causal relationships between Korean adolescents'trajectories of depression and their mobile phone dependency. The findings also provide a comprehensive framework with implications for adolescents'development through an understanding of the relationships between adolescents'depression and mobile phone dependency, which impact their self-regulated learning abilities.

A Novel Self-Learning Filters for Automatic Modulation Classification Based on Deep Residual Shrinking Networks

  • Ming Li;Xiaolin Zhang;Rongchen Sun;Zengmao Chen;Chenghao Liu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.6
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    • pp.1743-1758
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    • 2023
  • Automatic modulation classification is a critical algorithm for non-cooperative communication systems. This paper addresses the challenging problem of closed-set and open-set signal modulation classification in complex channels. We propose a novel approach that incorporates a self-learning filter and center-loss in Deep Residual Shrinking Networks (DRSN) for closed-set modulation classification, and the Opendistance method for open-set modulation classification. Our approach achieves better performance than existing methods in both closed-set and open-set recognition. In closed-set recognition, the self-learning filter and center-loss combination improves recognition performance, with a maximum accuracy of over 92.18%. In open-set recognition, the use of a self-learning filter and center-loss provide an effective feature vector for open-set recognition, and the Opendistance method outperforms SoftMax and OpenMax in F1 scores and mean average accuracy under high openness. Overall, our proposed approach demonstrates promising results for automatic modulation classification, providing better performance in non-cooperative communication systems.

The Effects of a Blended Learning Based Bioetics Program on Perceived Ethical Confidence, Critical Thinking Disposition, Moral Sensitivity, and Academic Self-efficacy for the Nursing Students (TBL을 활용한 블렌디드 러닝 생명윤리 프로그램이 간호학과 학생들의 윤리적 의사결정 자신감, 비판적 사고성향, 도덕적 민감성, 학업자기효능감에 미치는 효과)

  • Lee, Kowoon
    • Journal of Korean Academy of Rural Health Nursing
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    • v.18 no.1
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    • pp.19-26
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    • 2023
  • Purpose: This study was to evaluate the effects of a blended-learning based bioethics program on perceived ethical confidence, critical thinking disposition, moral sensitivity, and academic self-efficacy of the nursing students living in S city. Methods: The program was conducted 13 sessions (2 hours/session) and evaluated for perceived ethical confidence, critical thinking disposition, moral sensitivity, and academic self-efficacy. The collected data were analyzed with descriptive statistics and paired t-test using the SAS 9.4 program. Results: The blended learning based bioethic program was found to be effective for perceived ethical confidence (t=8.70, p<.001), critical thinking disposition(t=8.96, p<.001), moral sensitivity (t=6.43, p<.001), academic self-efficacy (t=20.5, p<.001), and program satisfaction(t=4.92, p<.001). Conclusion: The results of this study suggest that a blended learning program including TBL has advantages of case-based discussion and active interaction for nursing students' bioethics education.

A Study on the Mediating Effect of Self-Directed Learning Ability on Interest Level through Problem-Solving Ability in Distance Learning Environment (원격 수업환경에서 자기주도학습능력이 문제해결력을 매개로 흥미수준에 미치는 영향 탐구)

  • Sunwoo Nam
    • Journal of Christian Education in Korea
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    • v.72
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    • pp.205-223
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    • 2022
  • This study was conducted to explore whether problem-solving ability mediates the effect of self-directed learning ability on interest level in a distance learning environment. The subjects of this study were 64 students in the Department of Christian Education and Early Childhood Education at A University located in Gyeonggi-do. For this study, data were collected through questionnaires on interest level, self-directed learning ability, and problem-solving ability. Collected data are analyzed using SPSS Macro and bootstrapping method. As a result, self-directed learning ability for interest level has a positive effect on .651 level. The influence of self-directed learning ability in step 2, which includes problem-solving ability, which is a parameter. It was lowered to .543 level. And the effect of problem-solving ability was found to be at .360 level. As a result, it can be judged that problem-solving ability mediates the effect of self-directed learning ability on interest level. The research results suggest that the level of interest can be improved by supporting problem-solving skills in a distance learning environment.

Finding the Causal Relationship between Self-Leadership Strategies, Academic Performance and Class Attendance Attitudes : Comparative Research between Korean and Indian Students

  • Park, Ki-Ho;Park, Sang-Hyeok;Rangnekar, Santosh
    • Journal of Information Technology Applications and Management
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    • v.19 no.1
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    • pp.47-59
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    • 2012
  • A number of organizations have had big interests in studies concerning leadership and in academic areas, in not only management but also psychology. Until now, leadership has been accentuated by managers or team leaders especially. Recently, however, the concept of self-leadership directing one's own activities through self-control or self-management is being focused on in practices and in academia. This study is to investigate the influence between self-leadership strategies and learning performance in IT classes mediated by attitude of attendance focused on the social science students in two universities (Korea (121 samples) and India (106 samples)). And this research tried to compare difference between two university students. Research results can give us direction of task-taking attitudes in firms or learning attitudes in teaching organizations and implications to human resource managers who are in charge of improving learning performance or productivity.

Domain Adaptation for Opinion Classification: A Self-Training Approach

  • Yu, Ning
    • Journal of Information Science Theory and Practice
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    • v.1 no.1
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    • pp.10-26
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    • 2013
  • Domain transfer is a widely recognized problem for machine learning algorithms because models built upon one data domain generally do not perform well in another data domain. This is especially a challenge for tasks such as opinion classification, which often has to deal with insufficient quantities of labeled data. This study investigates the feasibility of self-training in dealing with the domain transfer problem in opinion classification via leveraging labeled data in non-target data domain(s) and unlabeled data in the target-domain. Specifically, self-training is evaluated for effectiveness in sparse data situations and feasibility for domain adaptation in opinion classification. Three types of Web content are tested: edited news articles, semi-structured movie reviews, and the informal and unstructured content of the blogosphere. Findings of this study suggest that, when there are limited labeled data, self-training is a promising approach for opinion classification, although the contributions vary across data domains. Significant improvement was demonstrated for the most challenging data domain-the blogosphere-when a domain transfer-based self-training strategy was implemented.