• Title/Summary/Keyword: Online Learning Experience

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The Effects of Flow Experience and Learning Competency on Learning Satisfaction in Gerontological Nursing Virtual Simulation Education (노인간호 가상 시뮬레이션 교육에서 몰입경험, 학습역량이 학습만족도에 미치는 영향)

  • Kwon, Young-Sook
    • Journal of the Korean Applied Science and Technology
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    • v.39 no.2
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    • pp.182-192
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    • 2022
  • The purpose of this study was to investigate the effects of flow experience and learning competency on learning satisfaction after virtual simulation-based nursing practice education for the elderly. The subjects of this study were 72 nursing students and data were collected through online surveys from April 2 to May 7, 2021. Data were analyzed using the SPSS/WIN 24.0 program by descriptive statistics, Pearson's correlation, multiple regression analysis. As a result of the study, the learning satisfaction of nursing students after virtual simulation education showed a significant positive correlation with flow experience (r=.656, p<.001) and learning competency (r=.672, p<.001). The most influential factors on learning satisfaction were learning competency (𝛽=.459, p<.001) and flow experience (𝛽=.413, p<.001), and the explanatory power of the model was 60.9%. Therefore, in order to improve learning satisfaction after virtual simulation education, it is suggested to develop ways to promote flow experience in practice and improve individual learning capabilities.

Analysis of student perception of learning block-type educational programming tools in online learning environment (온라인 학습 환경에서의 블록형 교육용 프로그래밍 도구 학습에 대한 학생 인식 분석)

  • Lee, SangHyeon;Ann, SungHun
    • Journal of The Korean Association of Information Education
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    • v.24 no.6
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    • pp.519-528
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    • 2020
  • Due to COVID-19, most schools are conducting online learning. In this study, a total of 12 block-type educational programming tool classes were conducted in the form of online learning for 6th grade elementary school students, and then quantitatively and qualitatively analyzed students' perceptions of their learning experience on entry learning. As a result of the analysis, it was found that the learner easily recognized the use of the entry program and the difficulty of learning contents, and the learning satisfaction was high. When students face difficulties, it was found that they received the most help from the hint function provided by the site itself, and they were found to be less aware of the necessity of teachers when learning entry. As a result of the qualitative analysis, it was found that the learner felt a lot of novelty and fun through easy and simple operation. On the other hand, it was found that the learning contents and hints were not understood, which made them difficult and felt that the hint contents were insufficient. It was found that students felt a sense of accomplishment by creating and manipulating programs as they wish.

Machine Learning-Based Programming Analysis Model Proposal : Based on User Behavioral Analysis

  • Jang, Seonghoon;Shin, Seung-Jung
    • International journal of advanced smart convergence
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    • v.9 no.4
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    • pp.179-183
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    • 2020
  • The online education platform market is developing rapidly after the coronavirus infection-19 pandemic. As school classes at various levels are converted to non-face-to-face classes, interest in non-face-to-face online education is increasing more than ever. However, the majority of online platforms currently used are limited to the fragmentary functions of simply delivering images, voice and messages, and there are limitations to online hands-on training. Indeed, digital transformation is a traditional business method for increasing coding education and a corporate approach to service operation innovation strategy computing thinking power and platform model. There are many ways to evaluate a computer programmer's ability. Generally, piecemeal evaluation methods are used to evaluate results in time through coding tests. In this study, the purpose of this study is to propose a comprehensive evaluation of not only the results of writing, but also the execution process of the results, etc., and to evaluate the programmer's propensity habits based on the programmer's coding experience to evaluate the programmer's ability and productivity.

Lived Experience of Older Learners in an Online University (온라인대학 노인학습자들의 삶의 경험)

  • Lee, Eun-Joo
    • The Journal of the Korea Contents Association
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    • v.10 no.8
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    • pp.433-450
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    • 2010
  • The purpose of this paper is to describe and understand the lived experiences of older learners in formal education offered in an online university. Applying qualitative research methods, this paper attempts to explore the interpretation and meanings of their college studying. Ten participants in this study were selected from older students aged over 60 who had studied or were studying in a cyber university and lived in Seoul and its metropolitan area for more readily accessible and available for in-depth interviews. After the final analysis of learning experiences of older adults in an online university, six main themes were identified: self in the past, breaking from the convention, struggling with the new challenges, attaining self-actualization, integrating a new identity, future-oriented self. Finally it appears that learning experiences of the learners enabled the participants to replace their past-oriented sense of self with a more positive, future-oriented version.

The experience of distanced synchronous and asynchronous learning in paramedic students through focus group interviews (응급구조과 대학생의 원격수업 경험 분석)

  • Lee, Young-Ah
    • The Korean Journal of Emergency Medical Services
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    • v.25 no.2
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    • pp.157-167
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    • 2021
  • Purpose: The study was a qualitative study to examine the synchronous and asynchronous distanced learning experience of online paramedic students during the COVID-19 pandemic. Methods: The subjects included 10 students enrolled in the department of emergency medical service at J City C University. Written consent was provided by the subjects prior to the study, and focus group interviews were then conducted with sufficient explanation. The interviews were recorded and were directly transcribed immediately after the interview. Research results were then derived through content analysis. Results: A total of 4 domains and 9 categories were derived from the experiences of paramedic students on distanced learning. The 4 domains included "distanced lectures type," "student's adaptation and non-adaptation," "change of evaluation," and "learning anxiety." Conclusion: Contents of each domain derived from this study are expected to be used as basic data for the design of the distanced learning in the future.

Reconstructing the Meaning of Flipped Learning by Analyzing Learners' Experiences (학습자의 경험 분석을 통한 플립 러닝의 재해석)

  • Lee, Yekyung;Youn, Soonkyoung
    • Journal of Engineering Education Research
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    • v.20 no.1
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    • pp.53-62
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    • 2017
  • This paper explored how university students viewed flipped learning from their own perspectives. Using qualitative research methods, 5 students from a Computer Graphics course at a mid-scale university in Seoul were interviewed for this purpose. Researchers collected data about their learning experiences, emotions, and reflections about flipped learning in general and its components such as online materials, in-class activities, and instructor guidance. Research findings indicated that students were not so much conscious about the unfamiliarity of the class, the increased work load, nor the online lectures. They rather prioritized 'what they could actually learn' from the course, and thus defined flipped learning as a method which enabled students to constantly check and fill in the gaps in their learning through team-based activities and prompt feedback from the professor. A combination of students' positive attitude and active participation in team-based activities, the overall atmosphere of the department which supported interactivity and collaboration, the professor's emphasis on learning-by-doing and student-centered learning appeared to form their notions of flipped learning. The use of technology did not appear to heavily impact students' conceptions of flipped learning. Researchers suggest that pedagogical beliefs of the professor, culture surrounding the learner, and the good match between the course content and instructional strategies are central for designing a successful flipped learning class.

Academic Stress, Self-directed Learning Ability, Learning Satisfaction of Nursing Students Exposed to Blended Learning (블렌디드 러닝을 경험한 간호대학생의 학업스트레스, 자기주도적 학습능력 및 학습만족도)

  • Park, Eui-Jeung;Jeong, Gyeong-Sun
    • Journal of The Korean Society of Integrative Medicine
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    • v.10 no.2
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    • pp.145-153
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    • 2022
  • Purpose : This study aimed to investigate the effects of blended learning on learning satisfaction in nursing students. Methods : This study was conducted with 160 current nursing students in the department of nursing at K university located in city B. All students included in the study understood the purpose of the study and provided informed consent to participate. Data were collected between May 3 and July 9, 2021 and analyzed using SPSS/WIN 22.0. The frequency, percentage, mean, and standard deviation were created, and t-test, ANOVA, and Scheffé test for post hoc analysis were performed. Correlations were analyzed using Pearson's correlation coefficient. The factors influencing learning satisfaction were analyzed using multiple regression. Results : Significant differences were observed for academic stress according to the online classes environmental satisfaction (F=4.10, p=.001), online classes experience (t=4.11, p=.001) and self-directed learning ability according to the grade (F=4.10, p=.001), online classes environmental satisfaction (t=4.11, p=.001). The academic stress of nursing students who experienced blended learning was significantly negatively correlated with self-directed learning ability (r=-.480, p<.001), and learning satisfaction (r=-.236, p<.001). self-directed learning ability showed a significant positive correlation with learning satisfaction (r=.524, p<.001). The regression model for the factors affecting the learning satisfaction of the subjects was statistically significant (F= 3.027, p<.001). The major influential factors of learning satisfaction were grade (𝛽=.154, p=.013), satisfaction with school life (𝛽=.168, p=.032), and satisfaction with non-contact learning environment (𝛽=-.141, p=.028). The explanatory power was 28 %. Conclusion : These results indicate that it is necessary to reduce academic stress and increase self-directed learning ability to enhance learning satisfaction in nursing students through blended learning. In addition, the development and operation of a tailored intervention program is required to help improve learning satisfaction.

Integrated Media Platform-based Virtual Office Hours Implementation for Online Teaching in Post-COVID-19 Pandemic Era

  • Chen, Mingzi;Wei, Xin;Zhou, Liang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.8
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    • pp.2732-2748
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    • 2021
  • In post-COVID-19 pandemic era, students' learning effects and experience may sharply decrease when teaching is transferred from offline to online. Several tools suitable for online teaching have been developed to guarantee and promote students' learning effects. However, they cannot fully consider teacher-student interaction in online teaching. To figure out this issue, this paper proposes integrated media platform-based virtual office hours implementation for online teaching. Specifically, an integrated media platform (IMP) is first constructed. Then, virtual office hours (VOH) is implemented based on the IMP, aiming at increasing student-teacher interactions. For evaluating the effectiveness of this scheme, 140 undergraduate students using IMP are divided into one control group and three experimental groups that respectively contain text, voice and video modes. The experiment results indicate that applying VOH in the IMP can improve students' online presence and test scores. Furthermore, students' participating modes during VOH implementation can largely affect their degree of presence, which can be well classified by using principal component analysis. The implication of this work is that IMP-based VOH is an effective and sustainable tool to be continuously implemented even when the COVID-19 pandemic period ends.

Predicting the Saudi Student Perception of Benefits of Online Classes during the Covid-19 Pandemic using Artificial Neural Network Modelling

  • Beyari, Hasan
    • International Journal of Computer Science & Network Security
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    • v.22 no.2
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    • pp.145-152
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    • 2022
  • One of the impacts of Covid-19 on education systems has been the shift to online education. This shift has changed the way education is consumed and perceived by students. However, the exact nature of student perception about online education is not known. The aim of this study was to understand the perceptions of Saudi higher education students (e.g., post-school students) about online education during the Covid-19 pandemic. Various aspects of online education including benefits, features and cybersecurity were explored. The data collected were analysed using statistical techniques, especially artificial neural networks, to address the research aims. The key findings were that benefits of online education was perceived by students with positive experience or when ensured of safe use of online platforms without the fear cyber security breaches for which recruitment of a cyber security officer was an important predictor. The issue of whether perception of online education as a necessity only for Covid situation or a lasting option beyond the pandemic is a topic for future research.

Proposal Self-Assessment System of AI Experience Way Education

  • Lee, Kibbm;Moon, Seok-Jae;Lee, Jong-Yong
    • International Journal of Advanced Culture Technology
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    • v.9 no.4
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    • pp.274-281
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    • 2021
  • In the field of artificial intelligence education, discussions on the direction of artificial intelligence education are actively underway, and it is necessary to establish a foundation for future information education. It is necessary to design a creative convergence teaching-learning and evaluation method. Although AI experience coding education has been applied, the evaluation stage is insufficient. In this paper, we propose an evaluation system that can verify the validity of the proposed education model to find a way to supplement the existing learning module. The core components of this proposed system are Assessment-Factor, Self-Diagnosis, Item Bank, and Evaluation Result modules, which are designed to enable system access according to the roles of administrator, instructors and learners. This system enables individualized learning through online and offline connection.