• The Journal of Bigdata
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• v.4 no.2
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• pp.175-183
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• 2019

Drop-out issue is one of the challenges of cyber university. There are about 130,000 students enrolled in cyber universities, but the dropout rate is also very high. To lower the dropout rate, cyber universities invest heavily in learning analytics. Some cyber universities analyze the possibility of dropout and actively support students who are more likely to drop out. The purpose of this paper is to identify the learning data affecting the dropout prediction index. As a result of the analysis, it is confirmed that number of lessons(progress), credits, achievement and leave of absence have a significant effect on dropout rate. It is necessary to increase the accuracy of the prediction model through post-test on the student dropout prediction index.

• Journal of Convergence for Information Technology
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• v.10 no.1
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• pp.149-157
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• 2020

This study aimed to explore the change of engineering students' competencies through the havruta class. In the havruta class, engineering students' competencies were compared with pre-test and post-test. The research tool was developed by selecting learning readiness, academic self-efficacy, and communication ability as the learner's competence in the havruta class. Finally, 105 data were analyzed with SPSS 21.0 for windows. First, there was a statistically significant difference in learning readiness. Second, there was no statistically significant difference in academic self-efficacy. Third, there was a statistically significant difference in communication ability. It was found that there was a positive change of competencies in learning readiness ability and communication ability in the havruta class. Although the findings are difficult to generalize to all majors, these results will be a useful basis for instructors who want to apply the havruta class.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.199-208
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• 2021

Automatic Post Editing(APE) is the study that automatically correcting errors included in the machine translated sentences. The goal of APE task is to generate error correcting models that improve translation quality, regardless of the translation system. For training these models, source sentence, machine translation, and post edit, which is manually edited by human translator, are utilized. Especially in the recent APE research, multilingual pretrained language models are being adopted, prior to the training by APE data. This study deals with multilingual pretrained language models adopted to the latest APE researches, and the specific application method for each APE study. Furthermore, based on the current research trend, we propose future research directions utilizing translation model or mBART model.

• 한국정보교육학회:학술대회논문집
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• 2005.08a
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• pp.228-237
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• 2005

본 연구에서는 협동학습의 사전평가, 모둠구성, 사후평가, 점수결과처리의 단계에서 교사의 업무 부담을 혁신적으로 덜어 주고 높은 교육적 효과를 가져다 줄 수 있는 협동학습 지원 시스템을 설계하였다. 본 시스템의 특징은 첫째, 협동학습에서 사전 사후평가의 채점 및 점수산출과정과 모둠구성단계를 자동화함으로서, 수업준비와 결과처리의 부담과 시간을 줄일 수 있는 시스템을 설계하였다. 둘째, 다양한 종류의 협동학습에서 활용 가능하도록 학습자의 성별, 성향, 성적 등의 포괄적인 모둠구성 기준을 사용할 수 있도록 하였다. 셋째, 사전평가, 과정평가, 형성평가, 자기평가, 모둠평가 등의 다양한 평가방법을 이용할 수 있도록 구성하였다.

• Journal of Science Education
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• v.33 no.2
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• pp.193-206
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• 2009

The purpose of this study was to examine the effect of the consistent presentation of illustrations about the aligning direction of the Axis on the middle school students' acquisition and retention of astronomical concepts. This study was taken using the nonequivalent control-group pretest-posttest design on 116 7th middle school subjects. The same teaching and learning activities were given to both the experimental (n=59) and control groups (n=57) through three lessons. The experimental group was given a consistent presentation of the illustrations about the aligning direction of the Axis, while the control group was given an inconsistent presentation of the same illustrations about aligning direction. Two days after the three lessons, the 1st posttest was administered to compare the statistical difference of mean of both groups, using ANCOVA test. The result of ANCOVA test implicated that the consistent presentation of the illustrations about the aligning direction of the Axis had a positive influence on the experimental group's acquisition of the concepts. The 2nd posttest result for retention effect was given two month later by one-paired t-Test in each group and showed that the method had a positive effect on the experimental group, compared with control group. The results of this study implicated that paying careful attention to using the consistent illustration is highly beneficial for students' meaningful learning on astronomical concepts.

• Journal of the Korea Convergence Society
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• v.12 no.10
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• pp.27-35
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• 2021

Automatic post editing is a research field that aims to automatically correct errors in machine translation results. This research is mainly being focus on high resource language pairs, such as English-German. Recent APE studies are mainly adopting transfer learning based research, where pre-training language models, or translation models generated through self-supervised learning methodologies are utilized. While translation based APE model shows superior performance in recent researches, as such researches are conducted on the high resource languages, the same perspective cannot be directly applied to the low resource languages. In this work, we apply two transfer learning strategies to Korean-English APE studies and show that transfer learning with translation model can significantly improves APE performance.

• Journal of the Korean Society of Earth Science Education
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• v.16 no.2
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• pp.302-318
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• 2023

The purpose of this study was to study to the effect of presenting SBF questions on the level of conceptual achievement and eye movement of elementary students in seasonal constellation learning that requires systems thinking. In this study, the effectiveness of SBF questions was divided into experimental groups and comparison groups, and scientific texts with different question types were presented to analyze the level of conceptual achievement and differences in eye movement of sixth-grade elementary students. Data analysis quantitatively analyzed the pre- and post-test results of the developed concept test paper and the eye movement data when learning scientific texts related to seasonal constellations. As a result of the study, first, the SBF question was a valid learning strategy for learning seasonal constellations. The SBF question showed a statistically significant difference (p<0.05) in the pre- and post-test between groups, and a statistically significant difference (p<0.001) in the pre- and post-test within the group. Second, SBF questions had a positive effect on students' learning by inducing learners with low preconceptions to area of interest that help them achieve concepts. In other words, when presenting SBF questions with visual data from a space-based perspective, it was confirmed based on the results of eye movement analysis that there was a significant difference in total fixation count (p<0.01) of learners. On the other hand, for learners with high scientific preconceptions, the effect of exploration was not significant because the preconceptions of the learners themselves acted as a hard core rather than the effect of SBF questions. This study is different from existing seasonal constellation learning studies in that it provides quantitative data through pre- and post-test and eye movement analysis in the seasonal constellation learning process, and can help elementary students learn seasonal constellations.

• Journal of The Korean Association of Information Education
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• v.23 no.6
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• pp.599-606
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• 2019

Telepresence robot-assisted learning can provide opportunities of education for students who are in vulnerable physical, intellectual, cultural or environmental conditions. It is to be applied in international virtual education for global citizenship education. To date, the study of acceptance model has been conducted only for preservice teachers, and post-intention for use is not considered. This paper identified whether there are significant differences by gender or years of experience from elementary school teachers on it and the basic factors that affect the acceptance intentions for it. Factors related to intention to use for a telepresence robot were investigated, and a questionnaire about post-intention for use was made after participants operated. The results showed that elementary school teachers did not have a significant difference in each factor by gender. The experienced teachers showed no difficulty in using it. It was shown that PU, ATT, PENJ, SI and Ttrust were all extremely significant factors to affect acceptance intentions. It will be possible to establish educational information policies based on the acceptance intentions of elementary school teachers on telepresence robot-assisted learning.

• 대한공업교육학회지
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• v.32 no.1
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• pp.93-116
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• 2007

The purpose of this study was to improve the academic achievement at the public practical center of technical high school in Busan. For this study, 1 class(31 students) in the second grade at "B"technical high school were selected and these students were divided into two groups. One is the experiment group which blended learning was applied to and the other is control group which traditional lecture method was applied to. Each group was divided into three sub-groups by the level of learning ability. Non-randomized control-group pretest-posttest design was applied for this experiment planning. The subject of experiment was the unit of "3D Modeling and Making NC code" in the textbook of "Application of Automatic System" applied by the public practical center of technical high school in Busan. On-line contents were developed and applied to the blended learning to control group. In order to analyze the test result, t-test with a significance level of 0.05 was carried out using SPSS 10.0. The results of this study was summarized as follows; First, as a result of the post test performed on the experiment and the control group, there was a significant difference between two groups, that was, the blended learning was more effective than the traditional lecture method in improving academic achievement. Second, blended learning was more effective than the traditional lecture method in the group of high-leveled and middle-leveled, but was little effective on the low-leveled group. Third, blended learning was more effective than the traditional lecture method in the functional domain, but was little effective in the cognitive domain and psychomotor domain.

• Journal of The Korean Association of Information Education
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• v.20 no.5
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• pp.433-442
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• 2016

The purpose of this paper is to prove the effect of flipped learning on learning motivation in software education. For this study, the experiment was consisted of experimental group and control group for university of education. They learned software education using Scratch programming for 10 weeks. The experimental group was applied to the flipped learning with online software courses. As a result, post motivation in the experimental group was significantly increased compared to the pre learning motivation. Post- learning motivation is also the experimental group were higher learning motivation significantly compared to the control group. It is hoped this flipped learning as an effective learning strategies base expansion in primary and secondary education as well as high education teaching software in the future.