• Asian-Australasian Journal of Animal Sciences
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• v.21 no.10
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• pp.1441-1448
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• 2008

This experiment was carried out to study the carcass characteristics, chemical composition and fatty acid profile of the Longissimus muscle (LM) of bulls (10) and steers (17) finished in a pasture system. Animals (1/2 Zebu vs. 1/2 Aberdeen Angus) were fed in a pasture system (Hermatria altissima) and with a supplement of soybean meal, cracked corn, urea, limestone and mineral salts, twice a day. Both animal groups were slaughtered at 27 months of age, with an average 508.88 kg of live weight. Final weight, hot carcass weight and texture were similar (p>0.05) between bulls and steers. Carcass dressing, fat thickness, color and marbling were higher (p<0.02) in steers. Conversely, the Longissimus area was greater (p<0.05) in bulls. Moisture levels were higher (p<0.01) in bulls. Ash, crude protein, total lipids and total cholesterol levels were higher (p<0.10) in steers. C14:0, C16:0, C16:1 n-7 and C18:1 n-9 fatty acids percentages were higher (p<0.06) in steers. C16-1 n-10, i 17:0, C19:0, C18:2 n-6, C18:3 n-3, C20:2 n-3 C20:4 n-6, C20:5 n-3, C22:1 n-7, C22:4 n-6 and C22:5 n-3 fatty acids percentages were higher (p<0.05) in bulls. The percentage of the other fatty acids was similar (p>0.05) in bulls and steers. The levels of monounsaturated fatty acids were higher (p<0.02) in steers while polyunsaturated fatty acids, n-3, n-6, PUFA/SFA and n6:n3 ratios, were higher (p<0.05) in bulls. The CLA contents (mg/g lipids) were similar (p>0.10) in bulls and steers.

• 한국정보교육학회:학술대회논문집
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• 2004.01a
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• pp.315-320
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• 2004

최근 정보영재교육에 관한 필요성이 국가적으로 매우 중요하게 이루어지고 있다. 정보영재 교육의 많은 부분 가운데 중요한 영역 중의 하나가 프로그래밍 교육이다. 본 연구에서는 초등정보영재교육을 위한 C언어 학습시스템을 제공하는데 목적이 있다. C언어는 초등학생들이 접근하기에 다소 어려운 언어이나 정보 영재를 대상으로 점에서 프로그래밍 교육이 이루어지도록 하는데 그 목적이 있다. 본 시스템에서는 초등정보영재 C언어 교육을 위한 학습 코스웨어를 설계 및 구현하고 상에서 프로그래밍 실습이 가능하도록 하는 모듈을 제공하고자 한다.

• Journal of Korean Clinical Nursing Research
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• v.17 no.2
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• pp.262-274
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• 2011

Purpose: To identify the effects of clinical practicum reinforcement program on nursing student's clinical competency and satisfaction in the ICU. Methods: The study utilized a quasi-experimental pretest-posttest research design. The participant was 76 senior nursing students, who were engaged in two week-long clinical practicum in ICU at the C university hospital in a G city, Korea. The clinical practicum reinforcement program was applied to the experimental group (n=39), while the control group (n=37) was involved in the conventional practicum program. The collected data were analyzed using descriptive analysis, $x^2$/Fisher's exact test, and t-test, ANCOVA with SPSS/WIN 18.0 program. Results: After 2 weeks' clinical practicum, the experimental group showed a statistically significant increase in the clinical performance abilities by self evaluation, when compared to the control group. Clinical instructor's evaluation on the student's clinical performance revealed that the experimental group showed higher level in nursing activity than that of the control group (p<.001). However, there was no significant difference between the two groups in terms of the satisfaction on the clinical practicum program except the learning guidance and the evaluation. Conclusion: The clinical practicum reinforcement program is an effective one for improving the student's clinical competency.

• Education of Primary School Mathematics
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• v.22 no.3
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• pp.149-166
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• 2019

The purpose of this study is to analyze the statistical literacy in elementary school students when they beginning inference. Picto-graphs provide statistical information and often data-related arguments they certainly qualify as objects for interpretation, for critical evaluation, and for discussion or communication of the conclusions presented. For research, the inference from pictograph task was designed and statistical literacy standards for evaluating the student's level was presented based on prior studies. Evaluating student's statistical literacy is meaningful in that it can check their current level. To know the student's current level can help them achieve a higher level of performance. The outcomes of this research indicate that pictograph can provide a basis for rich tasks displaying not only student's counting skills but also their appreciation of variation and uncertainty in prediction. Raising statistical thinking by students is an important goal in statistical education, and the experience of informal statistical reasoning can help with formal statistical reasoning that will be learned later. Therefore, the task about the inference from a pictograph, discussions on statistical learning of elementary school children are expected to present meaningful implications for statistical education.

• Journal of The Korean Association For Science Education
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• v.39 no.1
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• pp.101-113
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• 2019

This study aims to explore which aspects of student agency have previously been studied and the ways agent practices have been investigated in learning communities in research on science education. Results reveal five aspects of agency related to students' actions in a learning community: epistemic agency, transformative agency, educated action in science, disciplinary agency, and material agency. We delineated how agency is captured in epistemic practices, as described in the literature on each of the aforementioned aspects. We also probed into the three approaches by which previous research has examined the practices of students as agents that construct learning communities. These approaches are (a) the investigation of students' actions as representative of the agency of an entire learning community, (b) the exploration of the effects of focused student action on the structure of activity, and (c) the investigation of interactions between students as agents. We discussed the implications of previous research on the basis of each approach to understanding the diverse features of student-centered learning communities. The present work contributes to the exploration and support of students' practices as agents in the learning communities in science classrooms.

• Education of Primary School Mathematics
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• v.11 no.2
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• pp.81-94
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• 2008

The 7th national curriculum requires the paradigmatic shift in education from teacher-centered to student-centered instruction. But, teachers beliefs on instruction have not been changed during implementing of the mathematics textbooks based on the curriculum. More exactly speaking, they are changed very slowly. Therefore, some beliefs they should establish in order for them to implement it were discussed: Perspectives of students' intelligent ability, learning goal for the every lesson, the passibility of teaching contents involved in the national curriculum, the size of classroom, and students' achievements.

• Education of Primary School Mathematics
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• v.10 no.1 s.19
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• pp.15-28
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• 2007

From a social constructivists' perspective, knowledge is not transmitted by language but it is constructed by social interactions with others. That is, it is viewed in social constructivism that learning is a process in which knowledge is constructed by communicative interactions with more capable others. In this vein, a class might be analyzed and characterized in terms of interactional patterns of teacher-student and student-student in class. For this, a primary math class was selected and observed and it was analyzed by the Flanders category system to investigate the effects of the math teaching based on verbal interactions on the learning of math. The class was taught in a teacher-centered and direct way but in the class math knowledge was taught through univocal communications in the form of question-answer. The results of this study appeared to suggest that verbal interactional patterns should take place frequently in math teaching in the sequence of a teacher's questions$\to$students' extensive responses $\to$ positive feedback for the students' responses by the teacher $\to$ the acceptance of the students' responses $\to$ the teacher's explanation or students' questions. In other words, math might be taught more effectively through the verbal discourse patterns proposed in this study.

• Journal of Korea Multimedia Society
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• v.25 no.2
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• pp.311-324
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• 2022

In this paper, we adjusted the feedback and learning materials for each learning based on ARCS motivation which applied DEVS methodology. We designed the ARCS professor-student model that expresses the continuous change in the student's attitude toward the class according to the student's attention, relevance, confidence, and satisfaction. It was applied to computational thinking and data analysis classes Based on the designed model. Before and after class, the students were asked the same question and then analyzed for each part of the ARCS. It was observed that students' perceptions of Attention, Relevance, and Satisfaction were improved except for Confidence. we observed that the students themselves felt that they lacked a lot of confidence compared to other ARS through the analysis. Although, Confidence showed a 13.5% improvement after class but it was about 33% lower than the average of other ARS. However, when it was observed that students' self-confidence was 30% lower than other motivational factors it was confirmed that the part that leads C to a similar level in other ARS is necessary.

• Journal of the Korea Society of Computer and Information
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• v.18 no.8
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• pp.17-25
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• 2013

TIn this paper, we propose a model automatically scoring a student's answer for a descriptive problem by using a voting method. Considering the model construction cost, the proposed model does not separately construct the automatic scoring model per problem type. In order to utilize features useful for automatically scoring the descriptive answers, the proposed model extracts feature values from the results, generated by comparing the student's answer with the answer sheet. For the purpose of improving the precision of the scoring result, the proposed model collects the scoring results classified by a few machine learning based classifiers, and unanimously selects the scoring result as the final result. Experimental results show that the single machine learning based classifier C4.5 takes 83.00% on precision while the proposed model improve the precision up to 90.57% by using three machine learning based classifiers C4.5, ME, and SVM.

• Journal of the Korean Chemical Society
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• v.65 no.2
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• pp.133-144
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• 2021

Science teachers in elementary schools and secondary schools recognize the necessity of character education, feeling difficulties such as evaluation methods, mood of competition, extra work and lack of time according to previous research, which were based on answers from science teachers not experiencing character education. As a rare study of teacher experiencing, previous researches didn't fully address the problems and suggestions about adopting character education in science classrooms. This study is about teacher practice of character education on site with the CoProC (Collaborative Problem-Solving for Character Competence) program in science classes with which other previous studies shed new light. Five teachers, adapting the CoProC program in their science classes, participated in two interviews, sharing their student achievement in character education. Results showed that student achievement was high when their teacher had experienced the training program, development, and classes of CoProC rather than their normal teaching career. Teacher recognition on the aims of CoProC influenced difficulties, evaluation, and feedback.