• (The) Korean Journal of Educational Psychology
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• v.31 no.3
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• pp.563-587
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• 2017

The purpose of this study was to understand the ways to enhance academic help-seeking by analyzing the structural relations among individual(achievement goal orientation) and contextural (teacher behaviors and classroom climate) factors known to affect help-seeking, one of the effective self-regulated learning strategies, for upper elementary students. More specifically, it explored the mediational roles of general classroom climate and student achievement goal orientation in the relation between supportive teacher behaviors and student academic help-seeking. A survey was administered to 315 fifth- or sixth-grade students in three elementary schools and the data from the survey was analyzed. Main results are as follows. First, supportive and learning-oriented teacher behaviors with high expectation related to more cohesive and positive classroom climate and more adaptive achievement goal such as mastery goal. Positive classroom climate played an important role in improving student mastery goal, and only mastery goal among different types of achievement goal orientation had a positive prediction of student help-seeking. Second, teacher behaviors significantly predicted student help-seeking through a double mediation of classroom climate and student mastery goal, which showed that classroom contextual factors and student individual factors interacted for help-seeking. These results suggest that the role of teachers as well as the mastery goal of students are important for enhancing students' help-seeking behavior as an adaptive learning strategy.

• Journal of the Korea Society for Simulation
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• v.32 no.4
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• pp.19-26
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• 2023

The increase in the dropout rate of college students nationwide has a serious negative impact on universities and society as well as individual students. In order to proactive identify students at risk of dropout, this study built a decision tree, random forest, logistic regression, and deep learning-based dropout prediction model using academic data that can be easily obtained from each university's academic management system. Their performances were subsequently analyzed and compared. The analysis revealed that while the logistic regression-based prediction model exhibited the highest recall rate, its f-1 value and ROC-AUC (Receiver Operating Characteristic - Area Under the Curve) value were comparatively lower. On the other hand, the random forest-based prediction model demonstrated superior performance across all other metrics except recall value. In addition, in order to assess model performance over distinct prediction periods, we divided these periods into short-term (within one semester), medium-term (within two semesters), and long-term (within three semesters). The results underscored that the long-term prediction yielded the highest predictive efficacy. Through this study, each university is expected to be able to identify students who are expected to be dropped out early, reduce the dropout rate through intensive management, and further contribute to the stabilization of university finances.

• Journal of Service Research and Studies
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• v.4 no.2
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• pp.11-19
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• 2014

This study simulates cases with 20, 30, 40, 50, 60 and 100 students and 6 values as the parameter of mu. Using the simulation, an analysis was made of how the number of students that couldn't concentrate during class increased over the duration of time. When normalizing the difference in student number when the value of mu is constant, there was a decrease in percentage over time. It also showed a change in percentage when the value of time is fixed while the value of mu changes. Based on the result values, by estimating the mu value with the class atmosphere to predict the outcome and improve the lecture.

• Journal of the Korean Data and Information Science Society
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• v.24 no.2
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• pp.321-332
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• 2013

Because of the continuous low birthrates, the number of the elementary students will decrease by 17% in 2020 compared to 2011. The purpose of this study is to forecast the number of elementary school teachers until 2020. We used the data in education statistical year books from 1970 to 2010. We used the time-series regression model, time series grouped regression model and exponential smoothing model to predict the number of teachers for the next ten years. Consequently time-series grouped regression model is a better model for forecasting the number of elementary school teachers than other models.

• Journal of The Korean Association of Information Education
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• v.22 no.4
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• pp.457-471
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• 2018

This study examined student- and school-level background and ICT factors that affected PISA 2015 Collaborative Problem Solving (CPS) for Korean students (4863 students from 142 high schools). A two-level hierarchical linear model (HLM) was analyzed from the basic model (model 1) with no predictors to the final model (model 5) with all predictors. Results showed that first, gender, socioeconomic/cultural backgrounds, cooperation level positively predicted CPS scores while perceived unfairness of teacher negatively predicted the outcome. Second, the more frequently ICT was used for out-of-school learning purposes, the less frequently ICT was used for entertainment purposes, and the less frequently ICT was used in schools, the higher CPS scores were. Considering ICT autonomy and social interaction variables measured for the first time in PISA 2015, students who were more interested in ICT and more autonomous in using ICT devices achieved higher CPS scores. On the other hand, the more students considered ICT important as social interaction, the less they gained CPS scores. Third, in terms of school-level characteristics, the smaller the students behavior detrimental to learning, the higher the teachers perceived positive working environment, and the fewer the number of computers available per student, the higher CPS scores were. To facilitate computer-based collaborative problem-solving competence, it is important for students to have interest and autonomy in using ICT. In addition, the guidelines of ICT use and SW curriculum need to be established in order to increase the effectiveness of using ICT device in school.

• Journal of the Korean School Mathematics Society
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• v.13 no.2
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• pp.323-343
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• 2010

The purpose of the study was to analyze difficulty analyzed through a quantitative method examining rate of correct answerers to each questions in the side of difficulty that students solving questions felt by finding variables to predict difficulty of questions in an objective way, not in an intuitive way, and examining what variables difficulty that each student solving questions felt depended on. The study divided 6 students in the 3rd grade of a high school into a two-person group or a three-person group and observed their question-solving process the total 11times for three months from March, to May. The study an alyzed what variables difficulty that each student felt depended on through semi-structuralized interview. As a result, the study could see that difficulty of questions depended on contents, strangeness of material, behavioral range, type of questions and complexity of questions.

• Journal of The Korean Association of Information Education
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• v.24 no.6
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• pp.585-596
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• 2020

The purpose of this study is to examine effects of maker education for high-school students on attitude toward software education, creative problem solving, and computational thinking. The program was designed to develop an artificial intelligence robot using mBlock and Arduino and implemented at a maker space. We analyzed 19 students among 20 who participated in the program, the result of paired t-test indicated significant increase in all variables. Also, we performed a multiple regression analysis to investigate predictors of perceived achievement and satisfaction. The finding demonstrated an initial attitude toward software education was found to be the significant predictor of perceived achievement and satisfaction. With the results, we confirmed maker education enhances attitude toward software education, creative problem solving, and computational thinking. Lastly, we discussed the implications and limitations and suggested the direction for future research.

• Journal of The Korean Association For Science Education
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• v.24 no.5
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• pp.814-824
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• 2004

This article presents the effects of estimation activities related to speed and density on students' concept-understanding, answer-prediction, and answer-calculation in problem solving procedure with quantitative and qualitative methods. Participants were one hundred and ninety two seventh graders from one coeducational school in Seoul. Half of them participated in the estimation activities and the other half did in the measurement activities. Discussions of three students during estimation activities on density and their post-interviews were tape-recorded. Pre- and post-assessment scores were analyzed for the whole classes, and students' discussions and interviews served this research as evidences for the case analysis. Results of scores indicated that students in the estimation activities were significantly better than those in the measurement activities for predicting answers, but not for understanding concepts. Analysis of the cases revealed that estimation activity helped them to understand the relations of mass, volume and density, empirically, which enhanced their prediction ability. Furthermore, the ability could help a student with low calculation ability to comprehend the calculation problems. Thus, it is concluded that estimation activities could influence students' empirical learning on quantitative concepts, which enhanced their prediction ability.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.11b
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• pp.553-556
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• 2003

사회과학 학문을 공부하는 학생들은 현상을 분석하고 미래를 예측하는 기법으로 통계를 많이 사용하고 익혀야 한다. 본 연구에서는 맹목적으로 수치를 다루는 회계 및 통계 학습에서 벗어나 멀티미디어로 흥미를 유발시키고 인터넷상에서 학생들이 직접 실습을 할 수 있는 환경을 구축하여 회계 통계 학습에 도움을 주어 실제 산업체에 적용 가능한 지식을 주고자 한다. 본 연구는 사회과학의 분야에서 어떠한 형태의 자료를 입력하여도 사용자가 바라는 통계를 얻도록 하는데 주안점을 두고 있다. 개발된 멀티미디어 콘텐츠를 통하여 이루어진 학습에 대하여 효과를 측정하여 멀티미디어 기술을 활용한 사회과학 통계교육에 어떤 효과가 있는지를 분석하고자 한다.

• The Journal of Sustainable Design and Educational Environment Research
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• v.16 no.3
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• pp.27-36
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• 2017

The purpose of this study is to provide a basis for determining when a school established long term school plans accepted by analyzing the trend of increase or decrease elementary school students 30 years to target of following city, 323 elementary schools in Busan - 16 administration zone for this purpose. Results of this study are as follows: First, type 5 occupies 55.4% of the total, followed by the second most, type 10, 21.4%> type 11> type 13> type 15, which is the most urgent object of the student placement plan Can be. Second, the results of the Conflict Model I and Conflict Model II showed that Type1 and Type7 were not needed to be adopted. Third, we can see through the case analysis that the effect of excessive school opening on the decrease of the number of students in the nearby school is serious. Fourth, as a result of analyzing the current number of students in Busan, the number of schools with less than 150 students accounted for 12.4% of the total 323 elementary schools, 30.0% for schools with less than 300 students, and 60.4% for students with less than 600 students. Fifth, when the elementary school student induction rate of urban redevelopment area in Busan was examined, the average induction rate was 0.37.