• Title/Summary/Keyword: Online Learning

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A Qualitative Study on the Perceptions and Learning Behavior of Medical Students in Online Classes (의과대학 학생의 온라인 수업에 대한 인식 및 학습행동에 관한 질적 연구)

  • Kang, Yeji;Kim, Do-Hwan
    • Korean Medical Education Review
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    • v.23 no.1
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    • pp.46-55
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    • 2021
  • Since the emergence of coronavirus disease 2019 (COVID-19), medical schools have experienced a sudden, full-scale transition to online classes. As the COVID-19 pandemic continues, it is important to evaluate current educational programs and to assess their implications. This study explored perceptions of online classes and learning behavior among medical students. Twenty preclinical medical students were interviewed in focus groups for 2 months. They generally expressed positive perceptions about online classes, and in particular, positively assessed the ability to lead their individual lifestyles and study in comfortable environments with fewer time and space constraints. Students thought that the online environment provided a fair chance of facilitating positive interactions with the professor and considered communication with the professor to be an important factor only when it was related to the class content or directly helped with their grades and careers. Students also had negative views, such as feeling uncertain when they could not see their peers' learning progress and assess themselves in comparison and feeling social isolation. Learning behaviors have also changed, as students explored their learning styles and adapted to the changed learning environment. Students expanded their learning by using online functions. However, students sometimes abused the online class format by "just playing" the lecture while not paying attention and relying on other students' lecture transcripts to study. The results of this study are hoped to provide a useful foundation for future research on online class-based teaching and learning.

Online Learning after One Year of Digital Schooling in Romania: A Survey

  • Simionescu, Corina;Danubianu, Mirela;Marcu, Daniela;Turcu, Corneliu-Octavian
    • International Journal of Computer Science & Network Security
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    • v.21 no.12spc
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    • pp.726-731
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    • 2021
  • Due to the COVID-19 pandemics, Romanian schools functioned online since March 2020, with more or less all school activities being implemented online, using the digital resources and technology. Although none of the key factors involved in education (teachers, pupils, parents) were prepared (emotionally, technically, economically etc.), online education was imposed ad a necessity to continue the teaching-learning-evaluation process, and teachers at all school levels were forced to rapidly adapt to online schooling. In this paper, we aim to investigate the perception of all three educational actors (pupils, parents and teachers) regarding the efficacy of online teaching and learning, based on a survey with 7701 respondents. Research data is relevant for online schooling in Romania between March 2020 and March 2021.

Experience in Online Education in Logistic-related Departments in the New Normal Age (뉴노멀시대에 있어서 물류 관련 학과의 온라인교육 경험)

  • Bae, Soo Hyun
    • KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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    • v.26 no.3
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    • pp.139-145
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    • 2020
  • The purpose of this study is to share the experience of online education with departments related to the servic industry, such as distribution and logistics, in the New Normal Age of COVID-19 pandemics. The graduation presentation project, which is the capstone design subject and the most urgent subject for face-to-face classes, was selected as the online education subject of this study. The results of this study are as follows : First, several online class tools, such as Zoom, Microsoft Teams, and Google Meet, have also been shown to be applicable to capstone design subjects such as graduation presentation projects. Second, it is essential to reorganize the curriculum to enhance students' ability to practice and utilize online contents. Third, continuous education and training are needed to make easy use of the aforementioned online teaching tools. Meanwhile, fourth, further research is needed to solve the learning effects caused by online learning, and difficulties in communication.

Online Learning after One Year of Digital Schooling in Romania-A Survey

  • Simionescu, Corina;Danubianu, Mirela;Marcu, Daniela;Turcu, Corneliu-Octavian
    • International Journal of Computer Science & Network Security
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    • v.22 no.1
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    • pp.27-32
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    • 2022
  • Due to the COVID-19 pandemics, Romanian schools functioned online since March 2020, with more or less all school activities being implemented online, using the digital resources and technology. Although none of the key factors involved in education (teachers, pupils, parents) were prepared (emotionally, technically, economically etc.), online education was imposed ad a necessity to continue the teaching-learning-evaluation process, and teachers at all school levels were forced to rapidly adapt to online schooling. In this paper, we aim to investigate the perception of all three educational actors (pupils, parents and teachers) regarding the efficacy of online teaching and learning, based on a survey with 7701 respondents. Research data is relevant for online schooling in Romania between March 2020 and March 2021.

Effects of Blended Learning on Pharmacy Student Learning Satisfaction and Learning Platform Preferences in a Team-based Learning Pharmacy Experiential Course: A Pilot Study (블렌디드 러닝을 활용한 팀 기반 학습 실습 수업에서 약학대학 학생의 학습만족도와 플랫폼 선호도: 예비 연구)

  • So Won Kim;Eun Joo Choi;Yun Jeong Lee
    • Korean Journal of Clinical Pharmacy
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    • v.33 no.3
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    • pp.202-209
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    • 2023
  • Background: With the emergent transition of online learning during the COVID-19 pandemic, the need for online/offline blended learning that can effectively be utilized in a team-based learning (TBL) course has emerged. Methods: We used the online metaverse platforms, Gather and Zoom, along with face-to-face teaching methods in a team-based Introductory Pharmacy Practice Experience (IPPE) course and examined students' learning satisfaction and achievement, as well as their preferences to the learning platforms. A survey questionnaire was distributed to the students after the IPPE course completion. All data were analyzed using Excel and SPSS. Results: Students had high levels of course satisfaction (4.61±0.57 out of 5) and achievement of course learning objectives (4.49±0.70 out of 5), and these were positively correlated with self-directed learning ability. While students believed that the face-to-face platform was the most effective method for many of the class activities, they responded that Gather was the most effective platform for team presentations. The majority of students (64.3%) indicated that blended learning was the most preferred method for a TBL course. Conclusion: Students in a blended TBL IPPE course had high satisfaction and achievements with the use of various online/offline platforms, and indicated that blended learning was the most preferred learning method. In the post-COVID-19 era, it is important to utilize the blended learning approach in a TBL setting that effectively applies online/offline platforms according to the learning contents and activities to maximize students' learning satisfaction and achievement.

A Study on Instructors' Perspective of Online General Education Classes - Focusing on the Case of C University (온라인 교양 수업에 대한 대학 교원의 인식)

  • Han, Jinhee;Yoon, Jiwon
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.537-542
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    • 2021
  • This study aimed to understand and analyze the instructors' class satisfaction and the effectiveness of online general education classes perceived by instructors after inevitable COVID-19. A total of 54 instructors participated in the survey conducted at the end of the spring semester 2021 at C University located Gyeongsangnam-do. Findings revealed that instructors' satisfaction with their online classes was relatively low(2.80), and they negatively perceived their online classes. Also they show negative perception of the variable, interaction with learners(2.87). However, they show higher satisfaction with the next variables than the overall satisfaction; class management, online learning platform, and asynchronous online learning. Plus, a statistically significant result is that online learning platform have the biggest effect on the instructors' class satisfaction. Therefore, we need to know that instructors have to get familiar with the online learning platform and universities help them provide a variety of training sessions regarding online learning platforms. This study has limitations in that it was conducted only at one college and the limited number of variables was measured.

Comparison perceptions of secondary mathematics teachers between Korea and Indonesia in covid-19 era

  • Taekwon Son;Kwangho Lee;Ari Widodo
    • Research in Mathematical Education
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    • v.27 no.1
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    • pp.93-109
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    • 2024
  • This study compared the perceptions of 548 Korean and Indonesian secondary school teachers in the COVID-19 era and examined factors affecting their intention to continue online learning. Based on survey data, the two countries were compared on seven factors (teaching readiness, challenges and issues, competencies that require training, sources of support, types of support, and endurance). Furthermore, we examined what factors influence the intention to continue online learning. As a result, Korean teachers perceived their teaching readiness for online learning to be less than that of Indonesian teachers. Indonesian teachers perceived that they did not receive sufficient support. Additionally, factors affecting the intention to continue online learning differed depending on the country. Based on these results, we suggested implications for integrating online learning into mathematics education.

Factors Affecting the Learning Flow of Health Science Students Taking Online Classes due to COVID-19 (코로나 19 (COVID-19)로 인해 온라인 전공 수업을 경험한 보건계열 대학생의 학습몰입에 영향을 미치는 요인)

  • Koo, Sang-Mee;Kang, Moon-Hee
    • Journal of Industrial Convergence
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    • v.20 no.9
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    • pp.81-89
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    • 2022
  • This study investigates the relationships among academic stress, learning satisfaction, and learning flow of the health science college students who take online classes in college. The subjects were 129 students and the data were collected from November 15th, 2020 to December 22th, 2020 using a self-report structured questionnaire. The data analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation analysis, and multiple regression. As a result of this study, academic stress showed a negative correlation between learning satisfaction (r=.-78, p<.001) and learning flow (r=.-70, p<.001). And learning satisfaction showed a positive correlation between learning flow (r=.71, p<.001). In the results of multiple regression analysis, factors influencing the learning flow of students were amount of assignments in online classes, number of online practice courses completed in the last semester, academic stress, and learning satisfaction. All of these variables together explained 59.0%. Therefore, in order to increase learning flow in online classes, strategies to reduce academic stress and development of various educational programs are required.

Efficient Assessment and Recommendations System using IRT and Data Mining (IRT와 데이터 마이닝을 이용한 효과적인 평가 및 추천시스템)

  • Kim Cheon-Shik;Jung Myung-Hee
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.4 s.42
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    • pp.109-117
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    • 2006
  • E-learning method has many advantages that supplement the shortfalls of offline education. For this reason, today's offline educational institutions adopted the online education technique to improve learning effectiveness. Recently, general universities have partially adopted online learning. As a result, a study is searching for ways to improve the effectiveness of education by copying the merits of the existing offline education onto the online education. Thus a proper evaluation of learners and a feedback provision are considered necessary to improve the effectiveness of online learning. This study aims to suggest a model that will improve learning efficiency by adapting the advantages of offline education to online learning. To evaluate properly, this study conducted Item Response Test to examine the learners and finally ensure them an adequate level of education. Also, this study suggested a way to enhance learning efficiency by finding out each learner's study habits and to address the weaknesses of online learning. It is expected that the suggested method would be helpful in bettering learner's ability to study in school environment.

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Online anomaly detection algorithm based on deep support vector data description using incremental centroid update (점진적 중심 갱신을 이용한 deep support vector data description 기반의 온라인 비정상 탐지 알고리즘)

  • Lee, Kibae;Ko, Guhn Hyeok;Lee, Chong Hyun
    • The Journal of the Acoustical Society of Korea
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    • v.41 no.2
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    • pp.199-209
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    • 2022
  • Typical anomaly detection algorithms are trained by using prior data. Thus the batch learning based algorithms cause inevitable performance degradation when characteristics of newly incoming normal data change over time. We propose an online anomaly detection algorithm which can consider the gradual characteristic changes of incoming normal data. The proposed algorithm based on one-class classification model includes both offline and online learning procedures. In offline learning procedure, the algorithm learns the prior data to be close to centroid of the latent space and then updates the centroid of the latent space incrementally by new incoming data. In the online learning, the algorithm continues learning by using the updated centroid. Through experiments using public underwater acoustic data, the proposed online anomaly detection algorithm takes only approximately 2 % additional learning time for the incremental centroid update and learning. Nevertheless, the proposed algorithm shows 19.10 % improvement in Area Under the receiver operating characteristic Curve (AUC) performance compared to the offline learning model when new incoming normal data comes.