• Title/Summary/Keyword: excellent teacher

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A Study on Training Courses Development and Analysis for Improving the Creativity using Arduino (창의성 향상을 위한 아두이노 활용 교육과정 개발과 분석)

  • Shim, Jooeun;Ko, Jooyoug;Shim, Jaechang
    • Journal of Korea Multimedia Society
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    • v.17 no.4
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    • pp.514-525
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    • 2014
  • We have performed a short-term computer information and communication technology education using Arduino. The purpose of this education was to progress basic training interestingly and discover excellent students. Training was about practicing basic examples about H/W, S/W, communication, and solving creative tasks. We divided training participants into a team composed of each 3 members and educated them for 10 hours. Instructors were consists of 1 main teacher and 3 teacher assistants. Training was about assembling Arduino based robot, blinking LED, operating speaker, serial communication, producing software for wireless communications and autonomous of robot, and control hardware of robot. Through this study, we developed a meaningful ICT integrated curriculum which has high usefulness in a short period. Students participated in this education completed 96% out of 10 creative tasks, and this study analyzes the result of curriculum and suggests further research directions.

The Frequency Analysis of Teacher's Emotional Response in Mathematics Class (수학 담화에서 나타나는 교사의 감성적 언어 빈도 분석)

  • Son, Bok Eun;Ko, Ho Kyoung
    • Communications of Mathematical Education
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    • v.32 no.4
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    • pp.555-573
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    • 2018
  • The purpose of this study is to identify the emotional language of math teachers in math class using text mining techniques. For this purpose, we collected the discourse data of the teachers in the class by using the excellent class video. The analysis of the extracted unstructured data proceeded to three stages: data collection, data preprocessing, and text mining analysis. According to text mining analysis, there was few emotional language in teacher's response in mathematics class. This result can infer the characteristics of mathematics class in the aspect of affective domain.

Learning from an Expert Teacher: Feynman's Teaching of Gravitation as an Examplar

  • Park, Jiyun;Lee, Gyoungho;Kim, Jiwon;Treagust, David F.
    • Journal of Science Education
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    • v.43 no.1
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    • pp.173-193
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    • 2019
  • An expert teachers' instruction can be helpful to other teachers because good teaching effectively guides students to develop meaningful learning. Feynman is an excellent physics lecturer as well as one of the greatest physicists of the 20th century who presented and explained physics with his unique teaching style based on his great store of knowledge. However, it is not easy to capture and visualize teaching because it is not only the complex phenomena interrelated to various factors with the content to be taught but also the tacit representation. In this study, the framework of knowledge & belief based on the integrated mental model theory was used as a tool to capture and visualize complex and tacit representation of Feynman's teaching of 'The theory of gravitation,' a chapter in The Feynman Lectures on Physics. Feynman's teaching was found to go beyond the transmission of physics concepts by showing that components of the framework of knowledge & belief were effectively intertwined and integrated in his teaching and the storyline was well-organized. On the basis of these discussions, the implications of Feynman's teaching analyzed within the framework of knowledge & belief for physics teacher education are derived. Finally, the characteristics of the framework of knowledge & belief as tools for the analysis of teaching are presented.

A Study of Lightening SRGAN Using Knowledge Distillation (지식증류 기법을 사용한 SRGAN 경량화 연구)

  • Lee, Yeojin;Park, Hanhoon
    • Journal of Korea Multimedia Society
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    • v.24 no.12
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    • pp.1598-1605
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    • 2021
  • Recently, convolutional neural networks (CNNs) have been widely used with excellent performance in various computer vision fields, including super-resolution (SR). However, CNN is computationally intensive and requires a lot of memory, making it difficult to apply to limited hardware resources such as mobile or Internet of Things devices. To solve these limitations, network lightening studies have been actively conducted to reduce the depth or size of pre-trained deep CNN models while maintaining their performance as much as possible. This paper aims to lighten the SR CNN model, SRGAN, using the knowledge distillation among network lightening technologies; thus, it proposes four techniques with different methods of transferring the knowledge of the teacher network to the student network and presents experiments to compare and analyze the performance of each technique. In our experimental results, it was confirmed through quantitative and qualitative evaluation indicators that student networks with knowledge transfer performed better than those without knowledge transfer, and among the four knowledge transfer techniques, the technique of conducting adversarial learning after transferring knowledge from the teacher generator to the student generator showed the best performance.

The Communication of Elementary Math Classes Through Observing the Excellent Lesson Videos (우수수업 사례를 통해서 본 초등 수학 교실에서의 의사소통)

  • Choi, Eun-Ah;Lee, Kwang-Ho
    • School Mathematics
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    • v.12 no.4
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    • pp.507-530
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    • 2010
  • The purpose of this study was to help teachers for their teaching practice by analyzing the excellent lesson videos. To analyze the lesson videos between teacher and students, the researchers classified excellent lesson classes into four types as 'Discourse type', 'Representation type', 'Operation type' and 'Complex type' by mathematical communication pattern and kept close watch each lesson videos. Mathematical communication of the best discourse type classroom was analyzed in terms of questioning, explaining, and the sources of mathematical ideas. As a result, the number of Discourse type classes was 6. Operation type classes were 16 owing to characteristic of elementary class. Representation type class was 1 and Complex type class was 1. The Classes excluding Operation type was more planned by teachers. Teachers need to know about mathematical communication accurately because they designed just 5 lesson plan considering mathematical communication of students and only one of the lessons has the intellectual purpose of communication. Furthermore teachers should reflect questioning for student-to-student in their lesson plan.

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Analysis of the Current Status of Curriculum in Distance Educational Training Institute (원격교육연수원의 교육과정 운영 실태 분석)

  • Jeong, Jin-Goo;Kim, Ja-Mee;Kim, Hong-Rae
    • Journal of The Korean Association of Information Education
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    • v.13 no.2
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    • pp.135-144
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    • 2009
  • The purpose of this study was to explore strategies for promoting distance education program and for providing total information for teachers about curriculum of distance educational training institute. In 2007, there were 65 institutes of distance education training, but we don't have enough information about curriculum of the institutes. To analyze curriculums of the institutes, it had been selected 33 institutes of 65, and 567 of performance training programs, 317 of optional programs, and 23 of free training programs. The following results were obtained : (1) It calls for easy accessibility to distance educational training institutes (2) It has to overcome biased status that private institutes have more courses than government institutes'. (3) It will be needed to make diverse courses for teacher's capabilities. (4) It calls for course development of several subject matters (5) It will be needed to maintenance for running course continuously. (6) It has to make supporting plan for excellent courses by government.

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Validation of the Maternal Emotion Coaching Questionnaire for Mothers of Preschool Children (유아기 자녀를 둔 어머니의 정서코칭 평가도구 타당화)

  • Lim, JungHa;Park, Sungmin
    • Korean Journal of Childcare and Education
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    • v.18 no.4
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    • pp.1-16
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    • 2022
  • Objective: The purpose of this study is to test the psychometric properties of the Maternal Emotion Coaching Questionnaire (MECQ, Lim et al., 2018) in order to measure emotion coaching in mothers of preschoolers. Methods: A total of 316 preschoolers and their mothers participated in this study. Maternal emotion coaching was assessed by self-report and child emotion regulation ability was evaluated by the teacher. Data were analyzed with chi-square tests, reliability analysis, confirmatory factor analysis, latent profile analysis, and F-test. Results: Each item of the MECQ showed proper discriminative power. The MECQ and each subscale demonstrated adequate internal consistency and split-half reliability. Evidence of construct validity was provided by confirmatory factor analysis. The five-factor model including maternal attention, awareness, acceptance, empathy, and guidance showed a good fit. Results of the latent profile analysis revealed three profiles of emotion coaching: excellent, good, and poor. Preschoolers with mothers in the poor coaching profile showed significantly lower emotion regulation ability compared to those in the excellent or good coaching profiles, which suggested discriminative validity of the MECQ. Conclusion/Implications: The MECQ presents a reliable and valid tool to assess emotion coaching in mothers of preschool children and can thus be effectively used for mothers of preschoolers.

The perception of undergraduates of the college of education on the importance of trainee teacher certification areas and sub-factors (사범대학 재학생의 예비 교사 인증 영역 및 하위 요소에 대한 중요도 인식 분석)

  • Kim, Tae-Hoon;Lee, Tae-Ho
    • 대한공업교육학회지
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    • v.39 no.1
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    • pp.164-188
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    • 2014
  • The purpose of this study is to investigate the perception of undergraduates of the college of education on the importance of certification areas and factors suggested by the certification system at each department level as well as the college as a whole, in order to come up with measures for further improvement. The specific objectives of this study are first, verifying different perception on the importance of certification areas and factor per department, second, verifying different perception on the importance of certification areas and factor per grade. The population of this study is undergraduates of the college of education at A University, and the survey on the different perception on the importance was conducted on 758 students of 10 departments. Total 800 copies of survey were distributed, and 299 copies or 37.3% were retrieved. First, it was found that undergraduates of the college of education at A University highly recognize the necessity of a new system to produce excellent teachers. when it comes to different department, in the area of teaching personalities, there is difference in the importance of teaching aptitude test and completion of social intelligence development program. In the area of teaching expertise, there is different perception in the importance of completion of curriculum education subjects per major, completion of curriculum contents per major, and participation in teaching demonstration contest. In the area of student guidance expertise, there is difference by department in completion of creative character development related education programs and "teaching practice" course. In the area of communication skills in the information society, minimum score requirement for a second foreign language is considered less important than others. Second, as for grade, freshmen highly recognize the importance of validity of teaching training course, integrity of the course, validity of the teaching training course in producing excellent teachers, graduates' job performing ability development as a teacher, appropriacy of curriculum of the college of education in producing excellent teachers, compared to other grades. In particular, seniors consider the necessity of a new system to produce excellent teachers the most.

Study on the Effectiveness of Team Project to Improve TPACK of Preservice Mathematics Teachers (예비 수학교사의 테크놀로지 내용교수지식(TPACK) 신장을 위한 팀 프로젝트 효과 연구)

  • Rim, Hae-Mee
    • Journal of Educational Research in Mathematics
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    • v.19 no.4
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    • pp.545-564
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    • 2009
  • TPACK (Technological Pedagogical Content Knowledge) adds the technological knowledge to PCK (Shulman 1986), completing the combination of three kinds of knowledge, i.e. teacher's content knowledge (CK), pedagogical knowledge (PK), and technological knowledge (TK). In this study, I seek to design methodological ways to improve TPACK for preservice mathematics teachers by developing and analyzing team project-based classes with technology in a class of the first semester 2009 in a teacher's college in Seoul, South Korea. The goal of the team project is to design classes to teach mathematics with technology by selecting technology tools suitable for specific mathematical concepts or mathematics sections. In the early stage of the class in the college, the confidence levels among the preservice mathematics teachers were relatively low but increased in the final stage their mathematics teaching efficacy up to from 3.88 to 4.50. Also, the pre service mathematics teachers answered the team project was helpful or very helpful in developing TPACK; this result proves that lectures with technology which based on team project are excellent tools for the teacher to design classes with technology confidently. Considering the teacher's TPACK is one of the abilities to achieve the goals required in the information technology era, the preservice mathematics teachers are asked to plan and develop the lectures with technology, rather than just taught to know how to use technology tools or adapt to specific cases. Finally, we see that national-wide discussion and research are necessary to prepare customized standards and implementable plans for TPACK in South Korea.

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Text Classification Using Heterogeneous Knowledge Distillation

  • Yu, Yerin;Kim, Namgyu
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.10
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    • pp.29-41
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    • 2022
  • Recently, with the development of deep learning technology, a variety of huge models with excellent performance have been devised by pre-training massive amounts of text data. However, in order for such a model to be applied to real-life services, the inference speed must be fast and the amount of computation must be low, so the technology for model compression is attracting attention. Knowledge distillation, a representative model compression, is attracting attention as it can be used in a variety of ways as a method of transferring the knowledge already learned by the teacher model to a relatively small-sized student model. However, knowledge distillation has a limitation in that it is difficult to solve problems with low similarity to previously learned data because only knowledge necessary for solving a given problem is learned in a teacher model and knowledge distillation to a student model is performed from the same point of view. Therefore, we propose a heterogeneous knowledge distillation method in which the teacher model learns a higher-level concept rather than the knowledge required for the task that the student model needs to solve, and the teacher model distills this knowledge to the student model. In addition, through classification experiments on about 18,000 documents, we confirmed that the heterogeneous knowledge distillation method showed superior performance in all aspects of learning efficiency and accuracy compared to the traditional knowledge distillation.