• Title/Summary/Keyword: online classes

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Exploring Opinions on University Online Classes During the COVID-19 Pandemic Through Twitter Opinion Mining (트위터 오피니언 마이닝을 통한 코로나19 기간 대학 비대면 수업에 대한 의견 고찰)

  • Kim, Donghun;Jiang, Ting;Zhu, Yongjun
    • Journal of the Korean Society for Library and Information Science
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    • v.55 no.4
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    • pp.5-22
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    • 2021
  • This study aimed to understand how people perceive the transition from offline to online classes at universities during the COVID-19 pandemic. To achieve the goal, we collected tweets related to online classes on Twitter and performed sentiment and time series topic analysis. We have the following findings. First, through the sentiment analysis, we found that there were more negative than positive opinions overall, but negative opinions had gradually decreased over time. Through exploring the monthly distribution of sentiment scores of tweets, we found that sentiment scores during the semesters were more widespread than the ones during the vacations. Therefore, more diverse emotions and opinions were showed during the semesters. Second, through time series topic analysis, we identified five main topics of positive tweets that include class environment and equipment, positive emotions, places of taking online classes, language class, and tests and assignments. The four main topics of negative tweets include time (class & break time), tests and assignments, negative emotions, and class environment and equipment. In addition, we examined the trends of public opinions on online classes by investigating the changes in topic composition over time through checking the proportions of representative keywords in each topic. Different from the existing studies of understanding public opinions on online classes, this study attempted to understand the overall opinions from tweet data using sentiment and time series topic analysis. The results of the study can be used to improve the quality of online classes in universities and help universities and instructors to design and offer better online classes.

An Analysis of Cases of Real-time Online Class Design by Pre-service Science Teachers (예비 과학 교사의 실시간 온라인 수업 설계 사례 분석)

  • Hwa-Jung Han
    • Journal of The Korean Association For Science Education
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    • v.43 no.6
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    • pp.563-572
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    • 2023
  • This study aimed to analyze cases of online class design by pre-service science teachers to identify the teaching strategies employed for online classes. For this purpose, the real-time online class lesson plans of 12 pre-service science teachers, who had experienced education utilizing online teaching tools for a semester, were collected and analyzed. The pre-service science teachers considered all the elements that were essential in traditional face-to-face class designs, including prerequisites, statements of learning objectives, stimulating motivation, teaching and learning methods, wrapping up, teacher-student interaction, and assessment. They devised teaching strategies that could overcome the limitations of online teaching and were not feasible in face-to-face classes for each element. Additionally, they were considering new instructional strategies tailored to the online teaching environment, such as creating a conducive environment for using online teaching tools and strategies related to checking the online teaching environment. However, for statements of learning objectives, stimulating motivation, and wrapping up, most of the pre-service science teachers predominantly utilized teaching strategies from traditional face-to-face classes, especially those involving the presentation of visual materials through online tools. Student-centered approaches were rarely implemented in stimulating motivation or wrapping up. These findings imply that one semester of exposure to the utilization of online teaching tools may be insufficient in teacher education. Thus, there is a need for a continuous and expanded educational program on the utilization of online teaching tools as part of pre-service teacher education.

Analysis of Online Behavior and Prediction of Learning Performance in Blended Learning Environments

  • JO, Il-Hyun;PARK, Yeonjeong;KIM, Jeonghyun;SONG, Jongwoo
    • Educational Technology International
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    • v.15 no.2
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    • pp.71-88
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    • 2014
  • A variety of studies to predict students' performance have been conducted since educational data such as web-log files traced from Learning Management System (LMS) are increasingly used to analyze students' learning behaviors. However, it is still challenging to predict students' learning achievement in blended learning environment where online and offline learning are combined. In higher education, diverse cases of blended learning can be formed from simple use of LMS for administrative purposes to full usages of functions in LMS for online distance learning class. As a result, a generalized model to predict students' academic success does not fulfill diverse cases of blended learning. This study compares two blended learning classes with each prediction model. The first blended class which involves online discussion-based learning revealed a linear regression model, which explained 70% of the variance in total score through six variables including total log-in time, log-in frequencies, log-in regularities, visits on boards, visits on repositories, and the number of postings. However, the second case, a lecture-based class providing regular basis online lecture notes in Moodle show weaker results from the same linear regression model mainly due to non-linearity of variables. To investigate the non-linear relations between online activities and total score, RF (Random Forest) was utilized. The results indicate that there are different set of important variables for the two distinctive types of blended learning cases. Results suggest that the prediction models and data-mining technique should be based on the considerations of diverse pedagogical characteristics of blended learning classes.

Nursing students' Perception of Blended Learning - Based on Focus Group Interview - (간호학과 학생들의 블렌디드 러닝에 대한 인식 -포커스 그룹 인터뷰를 중심으로-)

  • Kim, Soo-Jin
    • Journal of Convergence for Information Technology
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    • v.10 no.6
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    • pp.59-69
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    • 2020
  • This study is a qualitative study in which a focus group interview is applied to explore nursing students' perception of blended learning. 21 students in the 4th grade of nursing department were divided into 4 groups to collect data through interviews and content analysis was conducted. As a result of the study, it was categorized into four topics: 'Application and operation that are not thoroughly prepared', 'Loss of direction and departure from learning', 'One-way listening', and 'Convenience'. Students were satisfied with blended learning which is free from time and space constraints and repetitive, but felt inadequacy and unsatisfactoriness about quality of online contents, system, and preparation for applying blended learning. In order to apply blended learning in the future nursing classes, high-quality online content should be developed based on the effective design of online and offline classes considering the curriculum, and a systematic, administrative, financial, and institutional foundation to support online course should be prepared. In addition, a support system should be created to guide students' self-directed learning activities in online classes of blended learning.

Critical Thinking and Debate Education under Non-Face-to-Face Situation - Through Online classes for Freshmen at the Engineering College (비대면 환경에서의 비판적 사고와 토론교육 - 공대 신입생 대상 온라인 수업 사례를 중심으로)

  • Shin, Heesun
    • Journal of Engineering Education Research
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    • v.24 no.1
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    • pp.34-45
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    • 2021
  • This research is a case study about "Critical Thinking and Debate Education" class which was done for freshmen at the engineering college of "S" Women's University. Real time remote classes through LMS and ZOOM were the most effective tools under on-line circumstances, considering the fact that video lectures only cannot cultivate students' capabilities of critical thinking and communication. Throughout the analysis on students' self-reflection journals and lecture evaluations, this paper examined considerable future points and the pros and cons of "Critical Thinking and Debate Education" under online presentation and discussion situation. As research outputs, students told they could feel less nervousness and anxiety when they exercise and have a presentation because they could choose familiar space for them. In addition, students also told that they feel comfortable about both self-feedback and peer evaluation, repeatedly seeing the recorded video clip. However, on the contrary, sometimes students felt uncomfortable due to unstable internet connection through the online classes, and they also were regretful about the missing chances of interaction between a teacher and students and of intimate exchanges among students. They also told they had felt a kind of limit of enhancing their presentation skills just in front of the monitor. Considering these outcomes, this research paper points out that online education needs to be proceeded by strengthening multi layered feedback to students with the build-up of a non-face-to-face stable educational infrastructure, application of online instructional strategy, and utilization of YouTube platform and video contents. Through this research paper, I hope the new system of encompassing on/off line "Critical Thinking and Debate Education" and effective teaching and learning method can be developed soon by strengthening the strength of online education.

The Relationship Between Social Presence and Learning Satisfaction in Videoconferencing Problem-Based Learning (문제중심학습 화상토론에서 사회적 실재감과 학습만족도의 연관성)

  • Han, Eui-Ryoung;Chung, Eun-Kyung
    • Korean Medical Education Review
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    • v.24 no.1
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    • pp.56-62
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    • 2022
  • Despite current regulations requiring social distancing due to coronavirus disease 2019, problem-based learning (PBL) requires student interaction to achieve common goals and enhance critical thinking and deep learning abilities. Social presence in the online education environment reduces both perceptions of physical distance and psychological distance in interactions. This study aimed to compare PBL activities between in-person and videoconferencing classes, and to investigate social presence and learning satisfaction in a videoconferencing PBL environment. The PBL consisted of six modules for both the first and second years of Chonnam National University Medical School. As social distancing was strengthened, the second class of the fifth module in both years was converted to an online format and the fifth module was excluded. The first four PBL modules were conducted as in-person classes, but the last PBL module was administered via videoconferencing. After the final PBL module, 100 (81.3%) first-year medical students and 90 (79.6%) second-year students were asked to complete a self-administered questionnaire on social presence and learning satisfaction. There were no significant differences in the small group activities of tutorial sessions between in-person and videoconferencing classes. In the online videoconferencing class, students who had favorable attitudes toward the tutors' social role and interactions with peers showed high satisfaction with their learning. In conclusion, online videoconferencing allows students to simultaneously perceive their interactions with others and social presence, even at a distance. Tutors can enhance a sense of online community and collaborative learning as facilitators of online PBL.

Real-time Online Study and Exam Attitude Dataset Design and Implementation (실시간 온라인 수업 및 시험 태도 데이터 세트 설계 및 구현)

  • Kim, Junsik;Lee, Chanhwi;Song, Hyok;Kwon, Soonchul
    • Journal of Broadcast Engineering
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    • v.27 no.1
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    • pp.124-132
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    • 2022
  • Recently, due to COVID-19, online remote classes and non-face-to-face exams have made it difficult to manage class attitudes and exam cheating. Therefore, there is a need for a system that automatically recognizes and detects the behavior of students online. Action recognition, which recognizes human action, is one of the most studied technologies in computer vision. In order to develop such a technology, data including human arm movement information and information about surrounding objects, which can be key information in online classes and exams, are needed. It is difficult to apply the existing dataset to this system because it is classified into various fields or consists of daily life action. In this paper, we propose a dataset that can classify attitudes in real-time online tests and classes. In addition, it shows whether the proposed dataset is correctly constructed through comparison with the existing action recognition dataset.

A Study on the Status of Non-face-to-face software education (비대면 원격 소프트웨어교육의 실태 연구)

  • Moon, Juyoung;Shin, Seungki
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.187-192
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    • 2021
  • The purpose of this study is a method to discover problems and improve them by analyzing the status of software education of A primary school conducted by online class. The coronavirus infection-19(COVID-19) pandemic, which began in early 2020, has continued to delay the start of the new semester. Finally, on April 9, 2020, the first semester began with online class. While progressing non-face to face online class, most students said they had difficulties. Students solved difficulties in class with Internet searches or program hints, not teachers. In the post-class self-evaluation, most students answered that there was no increase in coding skills. To solve this problem, the school rents additional smart devices to student. schools should have real-time interactive classes. After covid 19, online class became a paradigm for classes. Therefore, software education will also require research and development of curriculum and teaching learning methods suitable for online classes.

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The Effects of Digital Literacy Skills on Learning Flow and Academic Self-efficacy of Online Learners (온라인 학습자의 디지털 리터러시 능력이 학습몰입과 학업적 자기효능감에 미치는 영향 )

  • Mi-hee Han
    • Journal of Practical Engineering Education
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    • v.16 no.3_spc
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    • pp.401-407
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    • 2024
  • The present research intends to examine how online learners' digital literacy skills affects their learning flow and academic self-efficacy in the universities. The data were collected from a group of 228 students taking online course at the four-year university in Cheonan. The collected data were analyzed with the SPSS 29.0 program: descriptive statistics, correlation analysis and regression analysis. As a result of this study, the digital literacy skills of university students taking cyber lectures were found to have a statistically significant positive correlation with learning flow in online classes and academic self-efficacy. Through this study, it is hoped to provide an opportunity to explore ways to improve learning flow and academic self-efficacy as the problems of non-face-to-face classes. Therefore, in order to ensure the quality of online classes, it is hoped to expand educational opportunities such as various research and programs that can improve digital literacy skills.

An Analysis of Elementary School Teachers' Educational Needs on Designing Interactions for Online Mathematics Lessons (온라인 수학 수업에서 상호작용 설계에 대한 초등교사의 교육요구도 분석)

  • Cho, Mi Kyung;Kim, Seyoung
    • Education of Primary School Mathematics
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    • v.25 no.1
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    • pp.19-41
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    • 2022
  • Online classes have become one of the general teaching and learning method in elementary education, and elementary school teachers are essentially required to design and implement online math classes that reflect the characteristics of online environment and the specificity of the subject. The qualitative improvement of online mathematics lessons can start with examining what difficulties teachers actually have in enacting the online lessons, and this study focused on their educational needs by examining the degree to which elementary school teachers perceive and implement in terms of designing online interactions. The result showed that teacher education on Learner-Content Interaction (LC) and Learner-Learner Interaction (LL) was necessary for elementary school teachers designing online mathematics lessons, and the educational needs of detailed items of interactions were confirmed. Furthermore, it was found that there was a difference in educational needs for the types of online interactions according to the career life cycle of elementary school teachers. The instructional design strategies for online interactions in online mathematics lessons and implications for teacher education necessary for elementary school teachers were derived from the result.