• Journal of Korean Elementary Science Education
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• v.20 no.1
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• pp.31-43
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• 2001

The purposes of this study were grasping the degree of students' understanding for course contents through the concept mapping strategy as meaningful learning in science and measuring the effect for change of conception and changing the misconception. The results of the study were as follows: 1. Before the lesson, only 10.7％ of students had scientific conception of molecular motion. Other students had various kinds of misconceptions. 2. The extent of concept formation after lesson through the using concept mapping strategy was tested. As a result, compared with the controlled group, the experimental group showed higher extent of sound concept formation (statistical significance level 0.05). 3. The differences between the experimental group and the control group were analyzed into quantitative and qualitative points of view. The results of the comparison showed that the maps of the students were well configured in the categories of the relationship, the hierarchy and the examples; while students showed lower abilities in the category of the cross-links. 4. The student's attitudes to ward concept mapping was positive. Most of the students answered that teaching strategy of concept mapping benefits them in meaningful learning outcomes.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.157-164
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• 2021

This endeavor is an attempt to explore the effect of flipped classroom strategy (FCS) on (a) academic achievement in the computer and information technology course and (b) students' attitudes towards this strategy. The sample of the study consisted of 64 students, divided into two groups: experimental and control groups. Two instruments were used to collect the data: a test and a questionnaire. The test was used to measure the students' achievement and the questionnaire to measure their attitudes towards the FCS. The results show statistically significant differences at the level of 0.05 in support of the experimental group at all Bloom's levels. Similarly, students' positive attitude towards the FCS was evident. Therefore, expanding this strategy in different courses is highly recommended because it positively impacts students' achievements. Organizing workshops and designing courses that encourage teachers to implement the strategy in the classroom and develop their technical skills are also recommended.

• Journal of Korean Clinical Health Science
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• v.6 no.1
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• pp.1048-1055
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• 2018

Purpose: The purpose of this study was to investigate the nursing students' metacognition and learning flow. Methods: The participants in this study were 272 nursing students. Between November and December 2017, data were collected through questionnaires. Data analysis was performed using PASW (SPSS) 21.0 program, and descriptive statistics, t-test, one-way ANOVA and Pearson correlation coefficients. Results: The mean metacognition of this study was 3.53/5, and mean of learning flow was 3.34/5. The significant learning flow according to metacognition level (F=46.75, p<.001). The significant correlates of metacognition were learning flow (r=.54, p<.001). Conclusions: The finding of study showed that metacognition was very important for enhancing learning flow influenced these relationship. This study suggested that it is important to develop and implement teaching and learning strategies with improved metacognition in nursing education field.

• Journal of The Korean Association For Science Education
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• v.19 no.1
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• pp.137-145
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• 1999

This study investigated the influences of the cooperative and the individualistic learning strategies on the academic achievement and the attitudes toward science instruction and science by the level of achievement. These two learning strategies endowed students with the responsibility of learning and emphasized student-centered learning which included higher order thinking activities. Cooperative learning group students studied the tasks through small group discussion, and individualistic learning group students solved the same ones individually. In the traditional group. teacher-centered expository lesson was used. The subjects of this study were 7th graders of coed middle school, and were taught about separation of mixture for 10 class periods. Two-way ANCOVA results revealed that the test scores of academic achievement for cooperative learning group were significantly higher than those of individualistic and traditional learning groups. The attitudes toward science instruction and science were also more positive in cooperative learning group than the others. No interactions between the treatment and the level of previous achievement indicated that the cooperative learning strategy was effective regardless of the level of achievement.

• Management Science and Financial Engineering
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• v.19 no.1
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• pp.1-10
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• 2013

Hierarchical forecasting strategy does not always outperform direct forecasting strategy. The performance generally depends on demand features. This research guides the use of the alternative forecasting strategies according to demand features. This paper developed and evaluated various classification models such as logistic regression (LR), artificial neural networks (ANN), decision trees (DT), boosted trees (BT), and random forests (RF) for predicting the relative performance of the alternative forecasting strategies for the South Korean navy's spare parts demand which has non-normal characteristics. ANN minimized classification errors and inventory costs, whereas LR minimized the Brier scores and the sum of forecasting errors.

• Journal of Digital Convergence
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• v.8 no.4
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• pp.1-17
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• 2010

Many organizations have had deep interests in studies concerning leadership and also in academic area, not only management but also psychology. Until now, the leadership has been accentuated to managers or team leaders especially. Recently, however, the concept of self-leadership that lead one's own activities toward right direction through self-control or self-management is being focused on practices and academia. This study is to investigate the influence between self-leadership strategies and learning performance at IT classes mediated by attitude of attendance focused on the social science students in an university. Research results can give us right direction of task-taking attitudes in firms or learning attitudes in teaching organization and implications to human resource manager who are in charge of improving learning performance or productivity.

• Journal of Radiation Protection and Research
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• v.46 no.4
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• pp.204-212
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• 2021

Background: Identification of radioisotopes for plastic scintillation detectors is challenging because their spectra have poor energy resolutions and lack photo peaks. To overcome this weakness, many researchers have conducted radioisotope identification studies using machine learning algorithms; however, the effect of data normalization on radioisotope identification has not been addressed yet. Furthermore, studies on machine learning-based radioisotope identifiers for plastic scintillation detectors are limited. Materials and Methods: In this study, machine learning-based radioisotope identifiers were implemented, and their performances according to data normalization methods were compared. Eight classes of radioisotopes consisting of combinations of ²²Na, ⁶⁰Co, and ¹³⁷Cs, and the background, were defined. The training set was generated by the random sampling technique based on probabilistic density functions acquired by experiments and simulations, and test set was acquired by experiments. Support vector machine (SVM), artificial neural network (ANN), and convolutional neural network (CNN) were implemented as radioisotope identifiers with six data normalization methods, and trained using the generated training set. Results and Discussion: The implemented identifiers were evaluated by test sets acquired by experiments with and without gain shifts to confirm the robustness of the identifiers against the gain shift effect. Among the three machine learning-based radioisotope identifiers, prediction accuracy followed the order SVM > ANN > CNN, while the training time followed the order SVM > ANN > CNN. Conclusion: The prediction accuracy for the combined test sets was highest with the SVM. The CNN exhibited a minimum variation in prediction accuracy for each class, even though it had the lowest prediction accuracy for the combined test sets among three identifiers. The SVM exhibited the highest prediction accuracy for the combined test sets, and its training time was the shortest among three identifiers.

• Journal of The Korean Association For Science Education
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• v.27 no.5
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• pp.412-420
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• 2007

In this study, we investigated the influences of the epistemological beliefs on the conceptual change processes in respects of cognitive conflict, situational interest, attention and state learning strategies. After administering epistemological belief questionnaire as a pretest, 218 seventh graders possessing misconceptions about density were selected from the results of a preconception test. The questionnaires of responses to a discrepant event and situational interest were administered. After learning with a CAI program, attention test, state learning strategy test and conception test were also administered as post-tests. Analysis of the results revealed that fixed ability, quick learning and certain knowledge, which are epistemological factors, were highly related, but only certain knowledge exerted a direct effect on conceptual understanding negatively. It also had positive effects on attention directly as well as via situational interest, and thus increased conceptual understanding, even if the effects were relatively smaller than the direct effect. However, epistemological beliefs had little influence on conceptual understanding through cognitive conflict and/or state learning strategies.

• Journal of Korean Elementary Science Education
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• v.25 no.2
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• pp.191-205
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• 2006

The purpose of this study was to explore strategies used by pre-service elementary science teachers in planning a science lesson. The participants were six senior students from a national university of education located in the midwestern area of Korea. Data regarding their planning strategies were gathered through both thinking-aloud and observation. Research findings suggest that: three of the teachers had little understanding of the necessity of reviewing unit contents or prior learning for planning a science lesson; five student teachers relied heavily on learning objectives presented in teachers' guidebooks without considering their appropriateness; all teachers exhibited an intention of composing different activities or teaching approaches from teachers' guidebooks; only two teachers thought about learners' prior knowledge or understanding levels; five and three teachers had poor understanding of discovery learning models and importance of teacher's questioning, respectively; and five teachers paid little attention to assessment.

• Journal of Science Education
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• v.43 no.3
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• pp.271-283
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• 2019

This study examines the effects of virtual reality learning materials on the learners' learning motivation. For this study, we developed a virtual reality learning material for geological learning that allows observation of the characteristics of rocks in Korean topography that is closely related to learning contents. A 15-hour class was conducted with 91 students using virtual reality learning materials developed for first-year science high school students in D city. ARCS learning motivation strategy was used. Pre-test was conducted before the start of the classes and post-test was conducted after the classes. Statistical processing was analyzed using R-3.5.1 version program. As a result, the utilization of virtual reality learning materials has significant effects on attention concentration, satisfaction, and confidence in the learner's motivation factors. Using virtual reality in geological classes, students' interest in learning activities improve their immersion and concentration, which helps them understand the learning contents better.