• Journal of the Korean Chemical Society
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• v.58 no.6
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• pp.630-637
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• 2014

In this study, we investigated the current situation of implementing cooperative learning (CL) in elementary science classes and teachers' perceptions toward CL in science instructions. Participants were 138 elementary school teachers and 96 of them had experiences of implementing CL in their science classes. We developed a questionnaire on the basis of previous studies. The results indicated that many teachers did not seem to comprehend CL and some of them did not seem to distinguish CL from the traditional small group learning. The teachers who had experiences of implementing CL tended to exhibit positive perceptions toward CL than their counterpart in the effects of CL category whereas they did not show any positive evidence in the processes of CL category. The influences of teaching career and the experience of participating inservice training about CL on teachers' perceptions toward CL were not clear. Educational implications are discussed.

• Journal of the Korean Society of Earth Science Education
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• v.5 no.1
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• pp.31-41
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• 2012

This study investigates the effect of ASI program on the improvement of gifted students' scientific creative problem solving skill and science learning motivation. ASI developed by reflecting the characteristics of scientific inquiry. The study was aimed at Twenty elementary gifted students from C Gifted Education Program participated in the sixteen sessions of ASI curriculum from June 2010 to October 2010. First, we found that the ASP program is effective to improve the gifted students' scientific creative problem solving skill overall. Specifically, the ASI was effective in the sub-catagories of scientific creative problem solving skills such as 'fluency', 'flexibility', 'originality', and 'appropriateness'. However, there was no significant change in the sub-category of 'reliability' and 'elaborateness' Second, we found that the ASP program is effective to improve the gifted students' sscience learning motivation overall. Specifically, the ASI was effective in the sub-catagories of science problem solving skills such as 'intrinsic motivation', 'correlation with personal goal', 'self-determination', and 'fear of evaluation'. However, there was no significant change in the sub-category of 'extrinsic motivation' and 'self-efficacy'. summary, the ASI program was shown to be effective for improving their scientific creative problem solving skill and scientific learning motivation; This study implies that the ASI curriculum would be a effective tool to help gifted students to improve their ascientific creative problem solving skill and their motivation to learn science.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.1
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• pp.27-32
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• 2019

Research that implements the classification process through Deep Learning algorithm, one of the outstanding human abilities, includes a unimodal model, a multi-modal model, and a multi-modal method using music videos. In this study, the results were better by suggesting a system to analyze each song's spectrum into short samples and vote for the results. Among Deep Learning algorithms, CNN showed superior performance in the category of music genre compared to RNN, and improved performance when CNN and RNN were applied together. The system of voting for each CNN result by Deep Learning a short sample of music showed better results than the previous model and the model with Softmax layer added to the model performed best. The need for the explosive growth of digital media and the automatic classification of music genres in numerous streaming services is increasing. Future research will need to reduce the proportion of undifferentiated songs and develop algorithms for the last category classification of undivided songs.

• Journal of Engineering Education Research
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• v.16 no.5
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• pp.24-35
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• 2013

This study aims to explore self-directed learning strategies of high academic achievers majoring in engineering. The research participants were 21 fourth-year students who had attained the first or second highest cumulative grade point average in each department during the past three-year and were asked to write an essay on "my successful learning methods or techniques." The essays were analyzed by theme analysis method which is one of the qualitative methods to extract the self-directed learning strategies used by high performing students. According to the results of this study, the self-directed learning strategies of excellent students could be categorized into fundamental strategies to induce self-directed learning, preparatory strategies, implementation strategies and management strategies for marinating self-directed learning. Detail information on each category is as follow: 1) fundamental strategies refer to positive and pleasant mind, academic confidence and effort attribution, 2) preparatory strategies refer to concrete and challenging goal setting, establishment of learning strategies adjusted courses characteristics and practical learning planning, 3) implementation strategies refer to intensive learning in class, knowledge exploration, knowledge acquisition, social networking and exhaustive preparation for exams and 4) management strategies refer to time management and learning environment management.

• English Language & Literature Teaching
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• v.11 no.1
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• pp.37-55
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• 2005

This study examines the effects of two motivational orientations on the use of language learning strategies at overall, category, and specific-item levels. 184 students (males and females) from a Korean university responded to the following two questionnaires: the Motivational Orientation Questionnaire (MOQ) developed by the author and Oxford's Strategy Inventory for Language Learning (SILL). The results showed that both integratively- and instrumentally-oriented students were moderate strategy users overall. Integratively-oriented learners were found to use learning strategies more often and a broader spectrum of strategies than instrumentally-oriented learners. A noteworthy finding, however, is that strategy use was not motivation orientation-specific. In other words, the two motivational groups were found to share the similar patterns of strategy use. Independent samples t test results revealed that integratively-oriented students exhibited significantly greater use of overall strategy than instrumentally-oriented students. This phenomenon held true for the use of cognitive, metacognitive, and social categories. At the specific item levels, 13 of the total 50 individual strategies were shown to be employed significantly more often by integratively motivated learners than by their instrumentally motivated peers.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.04a
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• pp.182-187
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• 2006

The learning, which is an extended concept from the concept of continuos improvement and replace it, has become a very important core concept in Malcom Baldridge National Quality Award these days. The most potent core value among 11 core values is 'organizational and personal learning' Embedded learning in the organization is also a critical part to get a high score in approach scoring criteria for 6 categories except results category. But the concept of learning is often overlooked for the people who have interests in MB award or TQM. This paper review and analyze the concept of learning which has appeared In MB criteria since it's first appearance.

• International Journal of Advanced Culture Technology
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• v.9 no.1
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• pp.203-209
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• 2021

When carrying out computer programming, the process of checking and correcting errors in the source code is essential work for the completion of the program. Non-computer majors who are learning programming for the first time receive feedback from instructors to correct errors that occur when writing the source code. However, in a learning environment where the time for the learner to practice alone is long, such as an online learning environment, the learner starts to feel many difficulties in solving program errors by himself/herself. Therefore, training on how to check and correct errors after writing the program source code is necessary. In this paper, various types of errors that can occur in a Python program were described, the errors were classified into simple errors and complex errors according to the characteristics of the errors, and the distributions of errors by Python grammar category were analyzed. In addition, a coding learning process to refer error lists was designed to present a coding learning method that enables learners to solve program errors by themselves.

• Journal of Korean Elementary Science Education
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• v.29 no.1
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• pp.22-31
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• 2010

In this study, elementary school teachers' needs for the website providing science instructional materials were examined. The participants were 151 elementary school teachers. The test for needs analysis consisted of fifty-three Likert-type items; 24 items for the content of website category and 29 items for the design of website category. Variables about participants' characteristics such as teaching career, the capability of using computers, and the frequencies of searching websites in obtaining science instructional materials were also examined. The results indicated that teachers' needs for the content of website category were significantly higher than those for the design of website category. Teachers' needs were relatively higher in the items concerning flawless materials, consistency of materials with science curriculum and/or learning objectives, information about target grade and/or related topics, free website, and the materials capable of immediate use in the content of website category. The items concerning the stability of website, the accuracy of links, providing easy and reliable searching methods, easy and fast downloading, and providing list of loaded materials showed relatively higher needs in the design of website category. In several items, teachers' needs were also changed with their individual characteristics.

• Journal of The Korean Association For Science Education
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• v.22 no.1
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• pp.1-11
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• 2002

This study was analyzing what studying factors are affecting on the development of science process skills of the 5th graders in the elementary school. For this research, 2 hundreds of elementary students were chosen and questioned on 3 factors like teacher, school environment, and learning strategy which are supposed to affect the development of science process skills. According to the result, there were differences in the categories according to the region. Especially, science process skills were significantly different in level of school category(p<.05)). Science process skills were significantly correlated with teachers and school category, and learning environment in 5th grade. Based on these results, it is expected to perform analysis about the influences that studying variables have on science achievement and attitude as well as scientific reasoning ability. Also, further study is needed about the influence that these small difference have on middle and high school students, though studying variables are not statistically significant on this research.

• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.33-43
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• 2020

Retrieving a 3D model from a 3D database and augmenting the retrieved model in the Augmented Reality system simultaneously became an issue in developing the plausible AR environments in a convenient fashion. It is considered that the sketch-based 3D object retrieval is an intuitive way for searching 3D objects based on human-drawn sketches as query. In this paper, we propose a novel deep learning based approach of retrieving a sketch-based 3D object as for an Augmented Reality Model. For this work, we introduce a new method which uses Sketch CNN, Wasserstein CNN and Wasserstein center loss for retrieving a sketch-based 3D object. Especially, Wasserstein center loss is used for learning the center of each object category and reducing the Wasserstein distance between center and features of the same category. The proposed 3D object retrieval and augmentation consist of three major steps as follows. Firstly, Wasserstein CNN extracts 2D images taken from various directions of 3D object using CNN, and extracts features of 3D data by computing the Wasserstein barycenters of features of each image. Secondly, the features of the sketch are extracted using a separate Sketch CNN. Finally, we adopt sketch-based object matching method to localize the natural marker of the images to register a 3D virtual object in AR system. Using the detected marker, the retrieved 3D virtual object is augmented in AR system automatically. By the experiments, we prove that the proposed method is efficiency for retrieving and augmenting objects.