• Journal of Educational Research in Mathematics
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• v.20 no.3
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• pp.413-444
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• 2010

The purpose of the present study is to develop an instrument of mathematical learning motivation and causal attribution for students and to analyze the results of the instrument. Based on the literature review, mathematical learning motivation is the cumulative effects of self-assessment and self-regulation in mathematical learning and achievement experience. Three factors of mathematical learning motivation is identified as self-regulatory efficacy, task difficulty and mathematical anxiety with 17 self-regulatory efficacy items, 9 task difficulty items and 9 mathematical anxiety items. Three factors of causal attribution for success is identified as ability/effort, luck, and other person with 6 ability/effort items, 4 luck items and 3 other person items. Also, four factors of causal attribution for failure is identified as ability, effort, luck, and other person with 3 ability items, 7 effort items, 3 luck items and 4 other person items. The instrument of mathematical learning motivation and causal attribution for success and failure was administered to 919 middle school students from eight different middle middle schools in Seoul, Gyeonggi-Do, Busan, jeolla-Do area. The correlation of three factors of mathematical learning motivation was calculated. As a result, a positive correlation between self-regulatory efficacy and task difficulty was appeared but mathematical anxiety has a negative correlation with self-regulatory efficacy and task difficulty. This study also examined the differences about mathematical learning motivation's sub-factors shown by three groups of mathematics achievement level. Students of higher achievement level showed that the degree of self-regulatory efficacy and task difficulty was higher than that of lower level group. Students of lowest achievement level showed significantly higher mathematical anxiety degree than that of middle and high group. Students that have higher degree of self-regulatory efficacy and task difficulty preference were attributed into ability/effort cause toward success of mathematics achievement. Also, Male students preferred more difficult task and higher degree of self-regulatory efficacy in mathematics learning than female students. On the contrary, Female students showed higher mathematical anxiety level than male students.

• The Journal of Korean Academic Society of Nursing Education
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• v.6 no.1
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• pp.64-76
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• 2000

The purpose of this study is to identify the difference in learning styles, learning stages, and preferred nursing specialties between two groups of nursing programs, regular BSN and RN-BSN. The survey instrument was a simplified version of the Kolb's Learning-Style Instrument which was developed by the researcher, a self- reported learning style questionnaire with twelve questions related to the four learning stages. The sample of the study was the 218 nursing students in a university in Korea which consisted of 58 junior and 67 senior students in the regular BSN program, and 58 junior and 35 senior students in the RN-BSN program. Main findings of the study were as the following. 1) Over all, the major learning style was either the diverger or the accomodator; the most preferred learning stage was the concrete experience and the leastly preferred learning stage was the abstractive conceptualization learning stage; and the most preferred nursing specialty in the future was the clinical nursing. 2) Students in the BSN program preferred four learning stages with rather equal proportion, whereas the students in the RN-BSN program preferred the concrete experience learning stage as high as 60.3% and the abstractive conceptualization learning stage as low as 9.5%. 3)For the future career, the junior students of both programs preferred clinical and educational nursing areas, and the senior students of both programs preferred clinical and research areas. The main reason of the difference seemed to result from the different courses such as Health Education or Teaching Method for the juniors and the Nursing Research for the seniors of both groups. Because the sample of the study was limited to a university, it is difficult to generalize the study results for the entire nursing students in Korea. Continuous studies with larger numbers of nursing students and nurse educators, and experimental studies measuring the effects of new curricula are needed for the future.

• Journal of The Korean Association For Science Education
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• v.19 no.2
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• pp.315-328
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• 1999

The purpose of this study was to investigate the effects of psychological learning environment generated by science teachers upon students' affective perceptions and cognitive learning. The subjects of the study were consist of 2.693 students from secondary school. The students' perception were examined by the tools of PLEIS(Psychological Learning Environment Instrument by Science teacher). SAMS(Science Anxiety Measurement Scale). HARS(High schools' s Attitude Related Science). and ALWSS(Attitude toward Laboratory Work Scale in Secondary school). and cognitive learning outcomes assessed to TIPS II (Test of Integrated Process Skills II ) and science test score. The results of this study suggest that positive psychological learning environment by science teacher should be offered to students for the improvement of science achievement. and learning environment will be used as an instrument of self assessment for improving science teaching strategy. Understanding of relationship among psychological learning environment, affective perception and cognitive learning will be helpful to the design of science teaching and learning process.

• International Journal of Quality Innovation
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• v.8 no.1
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• pp.40-75
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• 2007

In the early industrial age which with high intensity of machine and labor, using financial measurement index was good enough to tie in company's mechanization and philosophy of management and been in efficiency. But being comply with "New Economic age," a new economic environment is full of knowledge and information, the enterprise competition had changed from tangible assets, plants to intangible innovation ability of knowledge. As recognizing the new tendency by enterprise, they value gradually the growth and influence from learning. Practice of organization learning not only needs firm structure and be in coordination with both hardware and software, but also needs an affect measurement model to offer enterprise to estimate learning performance. It's a good instrument of financial performance measure mold in the past years, But it's for measuring the past, couldn't formulate enterprise trend to future, hard to estimate investment for future, such as development of products, organization learning, knowledge management etc, as which intangible assets and knowledge ability just the key factors of being win around competition environment in the future. In 1992, Kaplan and Norton brought up Balance Scorecard (BSC) on Harvard Business Review, as an instrument helping enterprise to measure performance, which is being considered to be a most influence management instrument. It added non-financial index such as customer, internal process and learning growth besides traditional financial index, as offering enterprise an index to measure and manage intangible assets and intellectual property. As being aware of organization learning is hard to be ignored in the new economic age, this research is based on learning and growth of BSC, and citing one national material company try to let the most difficult measurement performance of organization learning, to be estimate through BSC, analyze of factor and individual case, to discuss the company how to make the related strategy and vision of organization learning to develop learning and growth of the structure of BSC, subject the matter of out put factors to be discussed, and measure the outcomes as a result of research. The research affect offers (1) the base implement procedure of carrying out BSC; (2) the reference of formulating measurement index while enterprise using BSC to estimate performance of organization learning; (3) the possibility bottleneck maybe forcing while carrying out BSC, to be an improvement or preventive for enterprise.

• Journal of Engineering Education Research
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• v.15 no.5
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• pp.108-118
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• 2012

The purpose of this study was to provide analytic rubrics for measuring teamwork(PO6), communication and presentation skills(PO7), and life-long learning(PO8) based on theoretical concepts of performance assessment and rubrics. Also, this study analyzed data about performance assessment and rubics from courses offered through college of engineering. Participants were 34 senior engineering students who took the course 'Technical writing and presentation'. In the second week of the course, students were given the pre-test instrument which was developed for measuring students' understanding of program outcomes for this study. After performing project activities using rubrics, students were encouraged to complete the post-test instrument and the reaction questionnaire during the ninth week. The data were analyzed by using SPSS 14.0 and Microsoft Excel. The research findings are as follows. First, to promote and evaluate program learning outcomes appropriately, performance assessment-based on rubircs should be implemented. Second, in the reaction questionnaire about the rubircs, students answered that using rubircs for performing the project was very useful for understanding the performance procedures and assessment criteria. Third, the mean of understanding of program outcomes of students in post-test was significantly increased than in the pre-test(p<.0001). From the findings, performance assessment and rubrics should be used as evaluation tools at course levels in terms of promoting program learning outcomes for engineering education.

• Smart Media Journal
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• v.11 no.11
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• pp.25-31
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• 2022

Deep learning-based image processing is essential for autonomous vehicles. To process road images in real-time in a System-on-Chip (SoC) environment, we need to execute deep learning models on a NPU (Neural Procesing Units) specialized for deep learning operations. In this study, we imported seven open-source image processing deep learning models, that were developed on GPU servers, to Texas Instrument Deep Learning (TIDL) NPU environment. We confirmed that the models imported in this study operate normally in the SoC virtual environment through performance evaluation and visualization. This paper introduces the problems that occurred during the migration process due to the limitations of NPU environment and how to solve them, and thereby, presents a reference case worth referring to for developers and researchers who want to port deep learning models to SoC environments.

• Proceedings of the KIEE Conference
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• 2005.07d
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• pp.2900-2902
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• 2005

본 논문에서는 환경과 시스템의 상호작용을 통한 경험에 의해 습득된 정보를 개체간 네트워크를 통하여 갱신하는 과정을 구성하는 연구를 하였다. 기존의 연구에서는 강화학습 알고리즘을 이용하여 임의의 구역에 대한 지도 정보를 습득하고 이를 바탕으로 개체들 각각의 최적의 행동 정책을 구성하는 바 이 때 각각의 체개체가 가지고 있는 최단경로에 대한 정보의 우위를 결정하는 과정을 추가하였다. 이를 바탕으로 최종적으로 선택된 경로에 대한 정보를 업데이트하여 구성 된 네트워크를 통한 개체간 데이터를 동시에 공유하는 과정을 거쳐서 각각의 시스템이 스스로 정보를 갱신하는 방법을 제안하였다 또한 이 제안한 개념의 적합성을 입증하기 위하여 개체간의 정보를 통합하고 비교하는 실험을 수행하여 성공적인 결과를 얻었다.

• Journal of The Korean Association For Science Education
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• v.28 no.3
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• pp.227-240
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• 2008

Cognitive conflict is well recognized as an important factor in conceptual change and is widely used in developing constructivism-based curricula. However, cognitive conflicts can also contribute to student anxiety during learning, which, when not properly addressed, can have negative impacts on students' motivation and achievement. Therefore, instructors need to be aware of the impacts of introducing cognitive conflicts in their instruction. We need a practical instrument that can help identify the existence and features of cognitive conflicts introduced by the instruction and the resulting anxiety. Based on the literature on studies of cognitive conflicts and student anxiety, we developed a quantitative instrument, the In-class Conflict and Anxiety Recognition Evaluation (iCARE), and used it to monitor the status of students' cognitive conflicts and anxiety in Physics by Inquiry (PBI) classes. In this paper, we introduce this instrument and present the types of information that can be obtained. Research and pedagogical values of this instrument are also discussed.

• Journal of The Korean Association For Science Education
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• v.27 no.6
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• pp.497-509
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• 2007

Among many remedial approaches against the increasing unfavorableness toward school science, one of the prevalent findings studied by affective experts is that students' achievement in science and their attitude toward it has a relatively weak relationship. In contrast, cognitive experts assert that the conceptual change involves more than cognitive aspects, and may be influenced by affective factors such as beliefs, motivation, learning attitudes, and sociocultural contexts. The latter regards continuous conceptual change as leading to better student understanding of science with variables of students' attitude toward science. As an initial step toward illuminating the affective-cognitive learning aspects of science, the purpose of this study is to develop an instrument for analyzing the relationship between students' conceptual understanding and affective factors. Cognitive questionnaires from the database of distribution in students' misconceptions of physics (DMP project), and affective questionnaires from the Relevance of Science Education (ROSE project) are integrated into our instrument. The respondents are high school students in Okayama prefecture, Japan. Through the pilot test, the authors integrated attitude toward science (AS) and interest inventory (II) from ROSE into cognitive understanding (CD) from DMP. Statistical methodologies such as factor analysis and item total correlation theoretically discerned the effective sixty-three items from the two original item pools. Having discussed two validity issues, the authors suggest ongoing research associated with our affective-cognitive research perspective.

• Asia-Pacific Journal of Business
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• v.3 no.1
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• pp.1-9
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• 2012

The Index of Learning Styles (ILS) instrument based on the Felder-Silverman Learning Style Model was used to determine distribution of learning styles of 125 South Korean business students enrolled in a South Korean institution of higher education. Results show that greater proportion of South Korean business students surveyed in this study prefer sensing over intuitive, visual over verbal, reflective over active, and global over sequential learning styles. The majority of business students have a balanced learning style in all four dimensions of the Felder-Silverman model. Among the students that do not have a balanced learning style, students with sensing, visual, reflective, and global learning styles dominate. Gender difference in learning style preference was not statistically significant for any of the four dimensions.