• Journal of Industrial Convergence
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• v.20 no.11
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• pp.41-47
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• 2022

This study explored the academic emotions of university freshmen depending on the type of online class(pre-recorded lecture vs. real time online class) that they took during the COVID-19 lockdown. 170 freshmen participated in the survey based on the 'Academic Emotion Questionnaire(AEQ)', and the statistical results are as follows; Firstly, research showed that the participants felt higher positive emotions for pre-recorded lecture than for real time online class, and higher negative emotions for real time online class than for pre-recorded lecture(p < .01). Secondly, participants felt different emotions depending on English level(p < .01). Thirdly, participants felt different emotions depending on their majors(p < .01). Students majoring in science & engineering felt higher positive emotions than those in humanities & social studies in pre-recorded lecture class. Fourthly, participants felt different emotions depending on gender(p < .01). Female students felt higher negative emotions than male students. Finally, the pedagogical implications and suggestions were discussed.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.284-290
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• 2021

This study aimed to identify the efficiency of online non-face-to-face English classes to propose possibilities for expanding these types of classes in a sustainable way even in the post-COVID era. Moreover, the study suggests pedagogical implications for the directions that should be further explored for online non-face-to-face English classes. To this end, the study employed an online non-face-to-face English reading class using Zoom and investigated the effects of online teaching on college students' reading comprehension via two achievement tests. The study also analyzed learners' satisfaction or dissatisfaction with this online non-face-to-face English reading class (and their reasons) through a questionnaire. Ultimately, the study found that online non-face-to-face English reading classes have a positive effect on learners' reading comprehension learning. In addition, the reasons for learners' satisfaction with online non-face-to-face classes include systematic class progress, class quality, and efficiency of learning. Instructors must be aware of the need to expand online non-face-to-face classes, for which they will have to be thoroughly prepared in advance. Instructors will also need to implement efficient online class activities, organize classes systematically with detailed explanations, and provide quick and useful feedback.

• Journal of the Korean Society of Earth Science Education
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• v.15 no.2
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• pp.273-284
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• 2022

This study was conducted to examine the practical and educational implications of teachers' operation of the curriculum through science and online classes based on data collected for 4 months from 4 teachers who had experience in science subject online classes among homeroom teachers in the 3rd to 6th grades of elementary school in D city. This study was conducted through narrative inquiry. As a result of conducting interviews and in-depth interviews based on the online class experiences of the Earth Science Unit of the study subjects, and conducting field classes with related documents such as online class-related materials and teacher journals, teachers were more likely to take online classes compared to traditional face-to-face classes. They spent more time preparing and showed difficulties in the process of adapting to the new medium used in online classes. In addition, they demanded the provision of scientific materials produced in a pandemic situation and a teaching platform for smooth class operation. In particular, in the case of experimental classes, there is a burden of completing the planned curriculum, and in a pandemic situation, students felt the need for individual experimental tools for intensive science classes. As a result, it is necessary to introduce a blended learning learning system that combines the advantages of face-to-face and online classes as a new class form for the transition to future education in preparation for the pandemic. Continuous teacher research on the format and online class experience is required.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.33-39
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• 2022

This study aims to investigate the online class preference depending on students' gender and school level. To achieve this aim, the study conducted a survey on 4,803 elementary, middle, and high school students in 17 regions nationwide. The valid data of 4,524 were then analyzed using the Apriori algorithm to discern the associated patterns of the online class preference corresponding to their gender and school level. As a result, a total of 16 rules, including 7 from elementary school students, 4 from middle school students, and 5 from high school students were derived. To be specific, elementary school male students preferred software-based classes whereas elementary female students preferred maker-based classes. In the case of middle school, both male and female students preferred virtual experience-based classes. On the other hand, high school students had a higher preference for subject-specific lecture-based classes. The study findings can serve as empirical evidence for explaining the needs of online classes perceived by K-12 students. In addition, this study can be used as basic research to present and suggest areas of improvement for diversifying online classes. Future studies can further conduct in-depth analysis on the development of various online class activities and models, the design of online class platforms, and the female students' career motivation in the field of science and technology.

• International Journal of Contents
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• v.12 no.4
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• pp.62-68
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• 2016

This paper describes an attempt to integrate flip teaching into a language classroom by adopting wikispaces as an online learning platform. The purpose of this study is to examine student perceptions of the effectiveness of using video lectures and wikispaces to foster active participation and collaborative learning. Flipped learning was implemented in an English writing class over one semester. Participants were 27 low intermediate level Korean university students. Data collection methods included background questionnaires at the beginning of the semester, learning experience questionnaires at the end of the semester, and semi-structured interviews with 6 focal participants. Because of the significance of video lectures in flip teaching, oCam was used for making weekly online lectures as a way of pre-class activities. Every week, online lectures were posted on the school LMS system (moodle). Every week, participants met in a computer room to perform in-class activities. Both in-class activities and post-class activities were managed by wikispaces. The results indicate that the flipped classroom facilitated student learning in the writing class. More than 53% of the respondents felt that it was useful to develop writing skills in a flipped classroom. Particularly, students felt that the video lectures prior to the class helped them improve their grammar skills. However, with respect to their satisfaction with collaborative works, about 44% of the participants responded positively. Similarly, 44% of the participants felt that in-class group work helped them interact with the other group members. Considering these results, this paper concludes with pedagogical suggestions and implications for further research.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.15 no.3
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• pp.145-152
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• 2015

We consider an online selective-sample learning problem for sequence classification, where the goal is to learn a predictive model using a stream of data samples whose class labels can be selectively queried by the algorithm. Given that there is a limit to the total number of queries permitted, the key issue is choosing the most informative and salient samples for their class labels to be queried. Recently, several aggressive selective-sample algorithms have been proposed under a linear model for static (non-sequential) binary classification. We extend the idea to hidden Markov models for multi-class sequence classification by introducing reasonable measures for the novelty and prediction confidence of the incoming sample with respect to the current model, on which the query decision is based. For several sequence classification datasets/tasks in online learning setups, we demonstrate the effectiveness of the proposed approach.

• Journal of the Korean Society of Radiology
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• v.15 no.4
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• pp.519-524
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• 2021

As the COVID-19 situation continued to spread to the local community along with the spread due to influx, each university had to conduct all online classes and partially online classes. The purpose of this study was to investigate the satisfaction of learners with the content and lecture contents by paying attention to online non-face-to-face classes according to the change of the class environment in the Corona 19 situation. Satisfaction survey on online non-face-to-face class major subjects was analyzed using questionnaires from June 1 to June 11, 2021, targeting 2nd and 3rd year students in the Department of Radiology at S University in Daegu. As a result of the study, satisfaction with content and class content was found to be an average of 3.78 ± 0.75 points, and learning satisfaction was found to be an average of 3.00 ± 1.14 points. In addition, when taking online non-face-to-face classes, the correlation between students' class attitude and content and class content satisfaction was the highest (r=0.555, p<0.01), and it was found that there was also a correlation between content and class content satisfaction and learning satisfaction. (r=0.331, p<0.01). I think that satisfaction with non-face-to-face online classes can be improved if the quality of content is improved during non-face-to-face online major classes as well as more active interactions between students and professors.

• Journal of Korean Clinical Health Science
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• v.10 no.1
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• pp.1543-1552
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• 2022

Purpose: It is intended to investigate the satisfaction of dental hygiene students with non-face-to-face online classes and use them as basic data for successful lecture design and operation. Methods: The data collected in this study were analyzed using the lBM SPSS Statistics 21 program. The general characteristics of the study subjects were frequency analysis, non-face-to-face online class satisfaction, and test satisfaction were frequency analysis and technical statistics. Through the independent sample T test, a t-test was conducted to find out whether there was an average difference in online class and test satisfaction according to grade. Results: The advantages of non-face-to-face online classes were that repetitive learning was possible (57.7%), the disadvantage was that there was a lack of real-time communication (74.9%), and the most efficient teaching method was a mixed form of online and face-to-face classes (64.9%). The satisfaction level of online classes was 2.69 points for 'self-directed learning habits,' which was the highest compared to the overall average of 2.55 points, and 2.09 points for 'difficulty in interaction between instructors and learners in online classes.'Non-face-to-face test satisfaction was 2.68 points for 'short test time gives fairness to test results,' higher than the overall average of 2.45 points, and 2.07 points for 'no difficulty accessing the test.'In terms of satisfaction with the non-face-to-face test according to the grade, it was found that the third grade showed a more negative attitude than the second grade in terms of sexual fairness (p<0.05). Conclusions: Through the above results, non-face-to-face online classes require various content development and some mixed classes considering the level of students, and instructors' efforts to improve the quality of classes for interaction between instructors and learners are needed.

• 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.

• Journal of Korean Physical Therapy Science
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• v.29 no.4
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• pp.54-64
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• 2022

Background: This study aims to investigate the perception and actual situation of online classes of college physical therapy students after COVID-19. In addition, it is necessary to conduct a fact-finding survey on how physical therapy students who have experienced online classes think about the online class method, what are the overall problems, and to what extent they are satisfied. Methods: The subjects of this study were 102 students in the 3rd year of physical therapy at University A, and the survey period was from June 10 to June 23, 2020, and the perception and use of online classes and self-regulated learning ability were investigated. Design: Cross-section study. Results: The perception of online lectures, it was found that the perception of online classes after actual online classes was better than the perceptions before watching (utilization), and satisfaction with online classes was generally high. There was a significant difference according to the grades in self regulated learning. The data values measured in this study were analyzed using SPSS (Statistical Package for Social Science) Windows version 12.0 statistical program. Conclusion: These results suggest that in future research, it is necessary to study the perceptions and actual conditions of each class compared to online classes and face-to-face classes.