• Title/Summary/Keyword: Online learner analysis

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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.

The Influence of Learning Commitment and Interest by Repetitive Education Activities of Adult Learners on Satisfaction in Online Learning Using Flip Learning Pedagogy (플립러닝을 활용한 온라인 학습에서 중·장년층 학습자의 반복학습에 따른 학습몰입과 흥미가 학습만족도에 미치는 영향)

  • Kang, Tae-Gu;Lim, Gu-Won
    • Journal of Industrial Convergence
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    • v.19 no.3
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    • pp.27-34
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    • 2021
  • In the era of the 4th industrial revolution, the age of artificial intelligence, the development of ICT technology is having various effects on the online and offline educational environment. The universal access of online education changes the educational paradigm and converts it to a learner-centered service. At the time when a new educational environment is required to change, interest in flip learning is increasing. Even adult learner's online learning needs is also shown very high. The purpose of this study was to investigate how repetitive learning activities through flip learning for middle-aged online learners of K-Cyber University has a relationship and structural relationship between the effects of learning immersion and learning interest on learning satisfaction. Through this study, there is significance in research to suggest direction for learning satisfaction based on flip learning. For further studies, if a model of analysis of various factors that can be measured is specified and applied, it can be used as a research background that can maximize learning satisfaction based on flip learning.

An Exploration of Interaction Factors and Analysis on Interaction-Level of Synchronous Online Education in University (대학 실시간 온라인 교육에서의 상호작용 요소 탐색과 수준 분석)

  • Han, Hyeong-Jong
    • The Journal of the Korea Contents Association
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    • v.21 no.4
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    • pp.14-25
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    • 2021
  • The purpose of this study is to explore what are the interactive factors of synchronous online education in university and identify the level of interaction. This study used mixed research method. As a result of the interaction level, it was recognized that face-to-face education could be more interactive than synchronous online education. Synchronous online education could have better interactive between instructor and learner, and among learners than asynchronous online education. Factors which influencing the interaction were as follows: small group activities and scaffolding, diversification of communication channels and integration of learner's question in learning content. Detrimental elements were distance felt between instructor and learners, low intimacy among learners, content-focused lecture, restrictions on non-verbal communication, unstable systems and misusing microphones. The necessary factors to promote interaction are planning interactive class activities, etc. Based on the results, it was to suggest what kinds of efforts are needed to make interaction more effective in terms of teaching and learning method & activity, tool & system, and environment.

In the COVID-19 Situation, Factors Affecting Online Learning Satisfaction of Nursing Students (코로나 바이러스 감염증(COVID-19) 상황에서 간호대학생의 온라인 수업 만족도에 영향을 미치는 요인)

  • Lee, Soon-Young;Hong, Ju-Young
    • Journal of Industrial Convergence
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    • v.20 no.10
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    • pp.1-8
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    • 2022
  • This study was attempted to determine the satisfaction of nursing students' online classes in the situation of coronavirus infection (COVID-19) and to identify factors affect it. This study conducted a survey on nursing students 220 in Daegu-Gyeongbuk area for a month in April 2021. The collected data were subjected to t-test, ANOVA, correlation, and multiple regression analysis. As a result of analyzing the factors affecting the online class satisfaction of nursing students, the learner factor (β=.29, p<.001) and the system factor (β=.51, p<.001) had a statistically significant effect, the variable with the greatest relative influence was the system factor. As online classes are expected to expand even after the end of COVID-19, for a change to education that can increase the satisfaction of learners, through the development of an online operating system suitable for learning and establishing a foundation for learners to learn independently A paradigm shift in nursing education is necessary.

Overcoming Barriers to Research Competency: a nationwide mixed-method study on residency training in the field of Korean medicine

  • Min-jung Lee;Myung-Ho Kim
    • Journal of Pharmacopuncture
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    • v.27 no.2
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    • pp.142-153
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    • 2024
  • Objectives: This study aimed to analyze the educational needs of interns and residents in Korean medicine as the first step in developing an education program to improve their research competencies. Methods: A mixed-method design, incorporating both quantitative and qualitative data collection methods, was used to investigate the educational needs for research competencies among interns and residents working in Korean medicine hospitals nationwide. Data were collected through online surveys and online focus group discussions (FGDs), and processed using descriptive statistical analysis and thematic analysis. The study results were derived by integrating survey data and FGD outcomes. Results: In total, 209 interns and residents participated in the survey, and 11 individuals participated in two rounds of FGDs. The majority of participants felt a lack of systematic education in research and academic writing in postgraduate medical education and highlighted the need for nationally accessible education due to significant disparities in the educational environment across hospitals and specialties. The primary barrier to learning research and academic writing identified by learners was the lack of knowledge, leading to time constraints. Improving learners' research competencies, relationship building, autonomy, and motivation through a support system was deemed crucial. The study also identified diverse learner types and preferred educational topics, indicating a demand for learner-centered education and coaching. Conclusion: This study provides foundational data for designing and developing a program on education on research competencies for interns and residents in Korean medicine and suggests the need for initiatives to strengthen these competencies.

Exploration of Predictive Model for Learning Achievement of Behavior Log Using Machine Learning in Video-based Learning Environment (동영상 기반 학습 환경에서 머신러닝을 활용한 행동로그의 학업성취 예측 모형 탐색)

  • Lee, Jungeun;Kim, Dasom;Jo, Il-Hyun
    • The Journal of Korean Association of Computer Education
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    • v.23 no.2
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    • pp.53-64
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    • 2020
  • As online learning forms centered on video lectures become more common and constantly increasing, the video-based learning environment applying various educational methods is also changing and developing to enhance learning effectiveness. Learner's log data has emerged for measuring the effectiveness of education in the online learning environment, and various analysis methods of log data are important for learner's customized learning prescriptions. To this end, the study analyzed learner behavior data and predictions of achievement by machine learning in video-based learning environments. As a result, interactive behaviors such as video navigation and comment writing, and learner-led learning behaviors predicted achievement in common in each model. Based on the results, the study provided implications for the design of the video learning environment.

Investigation of Learner Recognition to Introduction of Mobile Learning: A Study Targeting Officers at the Ministry of Health and Welfare in Korea

  • Jin, Sunmi;Hyun, Seunghye
    • International Journal of Contents
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    • v.10 no.3
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    • pp.26-34
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    • 2014
  • Mobile learning is a practical learning method for busy adult learners because the mobility of digital devices can overcome the drawbacks of e-learning. However, research is strongly lacking in the theoretical exploration of mobile learning effects and functions and its empirical research. Moreover, the research of learning characteristics and learners' requirements must be considered before applying and disseminating mobile learning into the educational field. To address this shortcoming, this study conducted an online survey with 1,542 officers of the Ministry of Health and Welfare Affairs (MHWA) regarding learner recognition to mobile learning. The analysis of learners' attitudes toward mobile learning, based on age and position, indicated that subordinate workers appeared to place more value on mobile learning. Many participants preferred mobile learning because of its mobility and the effectiveness of anywhere and anytime. However, some participants continue to misunderstand mobile learning and its necessity. Therefore, consideration of learning effectiveness, the form of the content, and learner-centered learning must be reviewed in advance. This study could lead to practical implications of mobile learning.

The Relationship between the Meaning of Life and Academic Satisfaction of Adult Learners: Mediating Effect of Academic Engagement (성인학습자의 삶의 의미와 학업만족과의 관계: 학업열의의 매개효과)

  • Kim, Eun Mi
    • Journal of the Korea Convergence Society
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    • v.12 no.12
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    • pp.257-265
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    • 2021
  • The purpose of this study is to investigate the relationship between the meaning of life and academic engagement as a factor that affects the academic satisfaction of online learners in adulthood. The subjects of this study were 148 adult learners enrolled in cyber university. For data analysis, Spss 23 and PROCESS Macro were used. As a result of the correlation analysis, there was a significant positive correlation between the meaning of life, academic satisfaction and academic engagement, there was also a positive correlation between academic satisfaction and academic engagement. As a result of confirming the direct effect on educational satisfaction, the direct effect between the meaning of life as an independent variable and academic engagement as a mediating variable was positively significant. As a result of examining the indirect effect of academic engagement on the relationship between the meaning of life and academic satisfaction, the mediating effect was significant. Through insight into the meaning of life in diddle age, students show engagement for their studies, which leads to academic satisfaction. Therefore, in order to increase the academic satisfaction of adult learner, it is thought that it is necessary to develop a practical education program and a motivation program that can find the meaning of life.

A Study on the Evaluation Direction of AI Education through the Analysis of SW Education Learner-centered Assessment Cases (SW교육 학습자 중심 평가 사례 분석을 통한 인공지능교육의 평가 방향 고찰)

  • Shin, Heenam;Ann, SungHun
    • Journal of The Korean Association of Information Education
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    • v.24 no.5
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    • pp.511-518
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    • 2020
  • Preparing for the Fourth Industrial Revolution and Corona-19, our education is expanding a new chapter of learning to the era of AI education that incorporates software technology beyond software education. In this study, we will analyze the case of learner-centered assessment in software education and examine the assessment direction of artificial intelligence education through its effectiveness. Through the case of applying learner-centered assessment to non-computer subjects including computer subjects, we sought the effects on learners' learning, environmental conditions and assessment models of learner-centered evaluation, and through the case of applying the learner-centered assessment model to software education, we wanted to find out what the learner-centered assessment in artificial intelligence education suggests to the educational site. According to the analysis, the learner-centered assessment had a significant effect on the learner's achievement goal, and it is expected that the learner-centered assessment in artificial intelligence education will be carried out smoothly when an objective evaluation system and objective evaluation model are designed to help the learner's assessment, building digital environment conditions based on intelligent information technology.

Using topic modeling-based network visualization and generative AI in online discussions, how learners' perception of usability affects their reflection on feedback

  • Mingyeong JANG;Hyeonwoo LEE
    • Educational Technology International
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    • v.25 no.1
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    • pp.1-25
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    • 2024
  • This study aims to analyze the impact of learners' usability perceptions of topic modeling-based visual feedback and generative AI interpretation on reflection levels in online discussions. To achieve this, we asked 17 students in the Department of Korean language education to conduct an online discussion. Text data generated from online discussions were analyzed using LDA topic modeling to extract five clusters of related words, or topics. These topics were then visualized in a network format, and interpretive feedback was constructed through generative AI. The feedback was presented on a website and rated highly for usability, with learners valuing its information usefulness. Furthermore, an analysis using the non-parametric Mann-Whitney U test based on levels of usability perception revealed that the group with higher perceived usability demonstrated higher levels of reflection. This suggests that well-designed and user-friendly visual feedback can significantly promote deeper reflection and engagement in online discussions. The integration of topic modeling and generative AI can enhance visual feedback in online discussions, reinforcing the efficacy of such feedback in learning. The research highlights the educational significance of these design strategies and clears a path for innovation.