• Journal of Cadastre & Land InformatiX
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• v.46 no.2
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• pp.297-312
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• 2016

The current government strives to train those supposed to drive the national economy, and bridge the gap between qualification and industrial sites through competency-based qualification systems, not the educational background. In this regards, the government is planning to adopt the course evaluation qualification system. The course evaluation qualification system, on a basis of the NCS, is a system to qualify certain people completing the education and training fulling a specific requirement for a national technical qualification in case they meet the internally and externally assessed criteria. This can be seen as an attempt to practically link between job training and qualifications. The NCS model and learning module in the cadastral field are already utilized as the training and eduction in the specialized school and colleges. However, the current national technical qualification system is considered as a main system because the course evaluation qualification system has not been introduced yet. This study analyzed the process of the course evaluation qualification system, and conducted a survey to solicit feedback on introduction of course evaluation qualification system, Besides, the NCS evaluation model is presented in order for the introduction of course evaluation qualification system in the cadastral fields.

• Journal of Yeungnam Medical Science
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• v.24 no.2
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• pp.148-153
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• 2007

Background : Computer- and web-based simulation methods help students develop problem solving and decision making skills. In addition, they provide reality based learning to the student clinical experience with immediate medical feedback as well as repetitive training, on-site reviews and case closure. Materials and Methods : Seventy-five third-year medical students participated in a two-week simulation program. The students selected four modules from eight modules as follows: airway and breathing 1, cardiac arrest 1, cardiac arrhythmia 1, and chest pain 1, and then selected the first case within each of the modules. After 2 weeks, a pass score was obtained and the data analyzed. The average pass score of over 70% was considered a passing grade for each module. If the student did not pass each module, there was no score (i.e., pass score was zero). In addition, when at least one of the four modules was zero, the student was not included in this study. Results : Seventy-five students participated in the simulation program. Nineteen students were excluded based on their performance. The final number of students studied was 56 students (74.7%). The average scores for each module 1 to 4 were 86.7%, 85.3%, 84.0%, and 84.0%, and the average obtained pass score was 88.6 for the four modules in all 56 students. Conclusion : Medical simulation enabled students to experience realistic patient situations as part of medical learning. However, it has not been incorporated into traditional educational methodology. Here we describe the introduction and the development of various simulation modules and technologies for medical education.

• Journal of The Korean Association For Science Education
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• v.36 no.3
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• pp.435-443
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• 2016

The purpose of this study is to analyze the mismatch between instructional design and teaching practice of pre-service science teachers and to investigate the cause of these mismatches. Twenty pre-service science teachers took part in teaching practicum for four weeks from Apr. 2015 to May 2015 and we analyzed their lesson plans and videos of these lessons. After that, we interviewed the pre-service science teachers in order to know the cause of these mismatches and additional informations. The main findings are as follows. First, in the introductory stage, we found more mismatch in the "attention and motivation stimulation" area than any other area. Many pre-service science teachers corrected their 'motivation practice' in different forms. Second, we found out that the most mismatch occurred in the evolving stage. Many pre-service science teachers added learning contents in "learning content presentation" area. Third, in the closing stage, many pre-service science teachers omitted the "leaning content summary" area in the lack of time. Fourth, the number of mismatches by internal factors is similar of by external factors. The mismatches by external factors were mainly by feedback of guidance teacher and change by students' response. In addition, we discussed the implications related to reflective mentoring program, importance of guidance teacher, importance of time management etc.

• Journal of the Korean School Mathematics Society
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• v.22 no.4
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• pp.439-460
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• 2019

In this study, we examined classroom interaction to explore the relationships among teacher questions, turn-taking patterns, and student talks in mathematics classrooms. We analyzed lessons given by three elementary teachers (two first-grade teachers and one second-grade teacher) who worked in the same school using a conversation-analytic approach. We observed individual classrooms three times in a year. The results revealed that when teachers provided open-ended questions, such as "why and how" questions and "agree and disagree" questions, and used a non-IRE pattern (teacher initiation-student response-teacher feedback; Mehan, 1979), students more actively engaged in classroom discourse by justifying their ideas and refuting others' thinking. Conversely, when teachers provided closed-ended questions, such as "what" questions, and used an IRE pattern, students tended to give short answers focusing on only one point. The findings suggested teachers should use open-ended questions and non-IRE turn-taking patterns to create an effective math-talk learning community. In addition, school administrators and mathematics educators should support teachers to acquire practical knowledge regarding this approach.

• Journal of the Korean Chemical Society
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• v.64 no.5
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• pp.277-290
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• 2020

In this study, four gifted students in the second year of middle school at Gifted Education Center of the National University in Jeollanam-do were surveyed students' perceptions of the effectiveness of science class using science writing heuristic in terms of metacognition and the goals of the 2015 revised science curriculum. Through questionnaires and interviews with gifted science students, science gifted students recognized that the science class using science writing heuristic had a positive effect on the four subdomains (planning, monitoring, control, and evaluation) of metacognition. For this reason, the science gifted students presented self-directed experience in designing experiments, continually checking the collected experimental data, feedback process, and reflecting experience in preparing conclusions. Science gifted students recognized that science class using science writing heuristic had a positive effect on the goals of the 2015 revised science curriculum(attitudes, inquiry, knowledge, Science·Technology·Society(STS), and the enjoyment and usefulness of science learning) that correspond to through inquiry science writing lessons. For this reason, the science gifted students presented self-directed inquiry experiences, continual inquiry experiences on the same subject, thinking process at each stage of inquiry, learning experiences through inquiry, experience of the whole inquiry process, and inquiry of phenomena closely related to real life. Therefore, for the effective science class, it is necessary to apply the characteristics of science class using science writing heuristic which is responded by science gifted students to general science class as well as science gifted class later.

• Journal of Korean Elementary Science Education
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• v.18 no.1
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• pp.1-18
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• 1999

The work of teachers is tile critical element ill effective shooting. But most reform efforts have focused on tile teaching profession as a whole and effective schools. Only minimal attention has been given to the subset of teachers whose performance is marginal or incompetent, those who undermine the very concept of “educational excellence.” Teachers are the school's primary point of contact with students and, in large part, determine the educational goals and learning activities for students. How teaching is conducted has a large impact on students' abilities to educate themselves, and there is evidence that teacher quality directly affects student learning. Unfortunately, the evaluation of teachers' teaching abilities is not clear, and there are few cases that teachers has correctly feedback fly tile results of the evaluation of their abilities. In this study, we analysized and compared the teacher evaluation systems of Republic of Korea, Russian Federation, and tile United States of America. These results will be based on the improvement of tile systems. In Russian Federation, the highest year of teacher's teaching which affects on teacher's salary is 5. In the United States, it is 12-13 years. But in Korea, it is more than 30 years. That means the teachers who taught for many years are considered as competent teachers in Republic of Korea based on the economic factors of educational effects. In Russia and tile United States of America, teachers' academic backgrounds seriously affect ell teachers' salary. But ill Republic of Korea, teachers' academic background is a bit of a contribution to salary. In Russian federation, teachers' activities related to education, leaking abilities as well as academic background are also affect ell the salary. In Korea, older teachers have more advantages of salary and promotion than younger teachers. Principals and vice principals of Korea have influencing power over teachers because their judgements on teachers play an important part in teachers' promotion. But there is no such power of principals and vice principals in Russia and the United States of America. In Russian federation, the evaluation of teachers abilities is enforced periodically. The results of tile evaluation reflect on teachers' salary directly, After teachers are evaluated, some teachers can earn lower salaries than before. Teachers' academic backgrounds which affect ell teacher' salary are classified by courses. The teachers who have master degrees or dolor degrees of education earn much more money than the teachers who have master degrees and doctor degrees of pure science in Russian federation.

• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.88-98
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• 2017

The purpose of this study is to develop the teaching competency tool of university teachers with responsibility for college education and analyze the need for change. We have developed teaching competency to strengthen the competencies required for university professors' responsibilities and community activities in and out of universities and the contents validity was examined from 24 experts. The developed tools were used to diagnose the 83 teachers of K university in Chungcheongnam-do, and to derive basic competence, educational practice competence, and community competence through exploratory factor analysis and confirmatory factor analysis. The teaching competencies include 'Understanding of college education', 'Educational philosophy and attitude', 'Teacher attitude', 'Analysis design', 'Instruction execution', 'Guidance management', 'Evaluation feedback', 'Academic convergence', 'Sympathy learning culture', and 'Global sharing'. The results of the paired t-test and the analysis of the need for change through the analysis of Borich coefficient analysis were as follows: Understanding of university education (4th rank), analysis design (5th rank), instruction execution(2nd rank), empathy learning culture (1st rank), and global sharing (3rd rank). The competence of university teachers is not only the ability to practice teaching, but also the ability to understand university education and to empathize and share with the members of the university community. In the future, the university should actively develop and provide ongoing support programs to strengthen the capacity of professors.

• Journal of The Korean Association For Science Education
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• v.39 no.3
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• pp.405-414
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• 2019

As a case study, we analyzed the professor's teaching professionalism in college of science-engineering based on pedagogical content knowledge. Two professors from the college of science-engineering located in Chungcheongbuk-do participated in this study. After collecting their syllabi, we observed their classes and conducted semi-structured interview before and after the classes. Analysis were conducted on their syllabi, taped videos, field notes and transcripts of the interview. As a result, both professors' orientation to teaching was not only related to learning subject matter knowledge, but also developing job competencies or communication skills. Their orientations were transformed according to the educational situation. After establishing the final learning goals, the professors organized weekly plan by listing the topics. However, they were unaware that the goals of each topic should be presented in detail in the class. Also, one of them presented a lack of understanding of the students' prior knowledge and showed low understanding of what aspects of the topics make students difficult to learn. In addition, the two professors applied various teaching strategies such as giving examples, questioning, and problem solving, but the degree of students' participation was not enough in the process of teaching. In the aspect of assessment, the professors had low understanding in students' achievement or feedback. Based on the results of the analysis, this study proposed methods and strategies for improving the teaching professionalism of science-engineering professors.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.284-290
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• 2021

This study aimed to identify the efficiency of online non-face-to-face English classes to propose possibilities for expanding these types of classes in a sustainable way even in the post-COVID era. Moreover, the study suggests pedagogical implications for the directions that should be further explored for online non-face-to-face English classes. To this end, the study employed an online non-face-to-face English reading class using Zoom and investigated the effects of online teaching on college students' reading comprehension via two achievement tests. The study also analyzed learners' satisfaction or dissatisfaction with this online non-face-to-face English reading class (and their reasons) through a questionnaire. Ultimately, the study found that online non-face-to-face English reading classes have a positive effect on learners' reading comprehension learning. In addition, the reasons for learners' satisfaction with online non-face-to-face classes include systematic class progress, class quality, and efficiency of learning. Instructors must be aware of the need to expand online non-face-to-face classes, for which they will have to be thoroughly prepared in advance. Instructors will also need to implement efficient online class activities, organize classes systematically with detailed explanations, and provide quick and useful feedback.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.3
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• pp.830-860
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• 2022

[Introduction] Nowadays, many companies are shifting their businesses online due to the growing trend among customers to buy and shop online, as people prefer online purchasing products. [Problem] Users share a vast amount of information about products, making it difficult and challenging for the end-users to make certain decisions. [Motivation] Therefore, we need a mechanism to automatically analyze end-user opinions, thoughts, or feelings in the social media platform about the products that might be useful for the customers to make or change their decisions about buying or purchasing specific products. [Proposed Solution] For this purpose, we proposed an automated SentiDecpective approach, which classifies end-user reviews into negative, positive, and neutral sentiments and identifies deceptive crowd-users rating information in the social media platform to help the user in decision-making. [Methodology] For this purpose, we first collected 11781 end-users comments from the Amazon store and Flipkart web application covering distant products, such as watches, mobile, shoes, clothes, and perfumes. Next, we develop a coding guideline used as a base for the comments annotation process. We then applied the content analysis approach and existing VADER library to annotate the end-user comments in the data set with the identified codes, which results in a labelled data set used as an input to the machine learning classifiers. Finally, we applied the sentiment analysis approach to identify the end-users opinions and overcome the deceptive rating information in the social media platforms by first preprocessing the input data to remove the irrelevant (stop words, special characters, etc.) data from the dataset, employing two standard resampling approaches to balance the data set, i-e, oversampling, and under-sampling, extract different features (TF-IDF and BOW) from the textual data in the data set and then train & test the machine learning algorithms by applying a standard cross-validation approach (KFold and Shuffle Split). [Results/Outcomes] Furthermore, to support our research study, we developed an automated tool that automatically analyzes each customer feedback and displays the collective sentiments of customers about a specific product with the help of a graph, which helps customers to make certain decisions. In a nutshell, our proposed sentiments approach produces good results when identifying the customer sentiments from the online user feedbacks, i-e, obtained an average 94.01% precision, 93.69% recall, and 93.81% F-measure value for classifying positive sentiments.