• Title/Summary/Keyword: Team-based learning

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Development of a Design Model for School Library-based Instruction under EduTech (에듀테크 기반 학교도서관활용교육 설계 모형 개발)

  • Gi-Ho Song
    • Journal of the Korean Society for Library and Information Science
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    • v.58 no.1
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    • pp.31-51
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    • 2024
  • The purpose of this study is to propose a design model for school library based instruction under EduTech. EduTech-based education expands learning boundaries and requires new instructional environments and learning experiences for learner-centered deeper learning. Accordingly, this study modified the ADDIE model based on the system theory and presented a four-stage instructional design model (draft) consisting of 'analysis stage, preliminary learning and development stage, learning management stage, and team teaching evaluation stage.' This model reflects elements of flipped learning, the backward design model, and inquiry-based learning to develop of customized student materials and inquiry activities. In addition, the scope of learning was expanded to include prior learning, face-to-face learning, and additional learning to increase the diversity of collaboration and opportunities to utilize school library materials. Also, Several ways for school library based instruction within EduTec were proposed in terms of teacher librarians' expertise, school library space, budget, standard curriculum development, and comprehensive support system for reading education.

Learning soccer robot using genetic programming

  • Wang, Xiaoshu;Sugisaka, Masanori
    • 제어로봇시스템학회:학술대회논문집
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    • 1999.10a
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    • pp.292-297
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    • 1999
  • Evolving in artificial agent is an extremely difficult problem, but on the other hand, a challenging task. At present the studies mainly centered on single agent learning problem. In our case, we use simulated soccer to investigate multi-agent cooperative learning. Consider the fundamental differences in learning mechanism, existing reinforcement learning algorithms can be roughly classified into two types-that based on evaluation functions and that of searching policy space directly. Genetic Programming developed from Genetic Algorithms is one of the most well known approaches belonging to the latter. In this paper, we give detailed algorithm description as well as data construction that are necessary for learning single agent strategies at first. In following step moreover, we will extend developed methods into multiple robot domains. game. We investigate and contrast two different methods-simple team learning and sub-group loaming and conclude the paper with some experimental results.

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Analysis on the Curriculum Operation and Educational Innovation in Building Construction of Domestic Universities (국내대학의 건축시공 교육과정 운영 및 교육혁신 실태 분석)

  • Kim, Jae-Yeob
    • Journal of the Korea Institute of Building Construction
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    • v.19 no.5
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    • pp.457-465
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    • 2019
  • Technology and society have undergone continued progress and improvement. Thus, constant changes are required for university education, which then directs social development. This study analyzed the current status of educational innovations in the field of building construction at domestic universities in South Korea. The major findings of this study are as follows. Lectures on educational innovations have been introduced in the field of building construction at domestic universities. Five out of 50 universities were found to offer lectures on innovation. Notable innovative teaching methods being introduced were team-based learning and flipped learning. The biggest difference between innovative and traditional teaching methods was whether to encourage students to perform self-directed learning. In this manner, there were also differences in evaluation methods, weekly lecture schedules and learning support tools. Thus it is determined that continuous research and efforts for innovation in university education are necessary to respond to the ever-present changes in society.

Trends in the study on medical education over the last 10 years, based on paper titles

  • Kim, Seong Yong
    • Journal of Yeungnam Medical Science
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    • v.36 no.2
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    • pp.78-84
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    • 2019
  • Medical education research subjects are incredibly diverse and have changed over time. This work in particular aims to compare and analyze research trends in medical education through the words used in the titles of these research papers. Academic Medicine (the journal of the Association of American Medical Colleges), Medical Teacher (the journal of the Association of Medical Education in Europe), the Korean Journal of Medical Education (KJME), and Korean Medical Education Review (KMER) were selected and analyzed for the purposes of this research. From 2009 to 2018, Academic Medicine and Medical Teacher published approximately 10 to 20 times more papers than the KJME and KMER. Frequently used words in these titles include "medical," "student," "education," and "learning." The words "clinical" and "learning" were used relatively often (7.80% to 13.66%) in Korean journals and Medical Teacher, but Academic Medicine used these phrases relatively less often (6.47% and 4.41%, respectively). Concern with such various topics as problem-based learning, team-based learning, program evaluations, burnout, e-learning, and digital indicates that Medical Teacher seems to primarily deal with teaching and learning methodologies, and Academic Medicine handles all aspects of medical education. The KJME and KMER did not cover all subjects, as they publish smaller papers. However, it is anticipated that research on new subjects, such as artificial intelligence in medical education, will occur in the near future.

Development of an Storytelling Instructional Model for promoting problem-solving ability in a Blended Learning Environment (Blended Learning 환경에서 문제해결력 강화를 위한 스토리텔링 교수학습 모형 개발)

  • Kang, Mun-Suk;Kim, Suk-Woo
    • Journal of Fisheries and Marine Sciences Education
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    • v.25 no.1
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    • pp.12-28
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    • 2013
  • The purpose of this study was to develop storytelling Instructional model for promote problem-solving in a Blended learning Environment. To achieve the purpose, the study was performed by dividing into two stages. First, the draft of storytelling Instructional model was proposed by performing a literature survey and a case study. Second, the draft model was applied to the actual work. And the draft was modified and developed to the final model on the basis of the draft model's strength and implemented to 28 students who were the sophomore of child care education department and enrolled the profession class of at S University for 6 weeks. From the implementation result of the model, it was obtained that there was the positive reaction on applying storytelling technique to the beginning stage of learning. Instructional model storytelling consists phases Preparing to perform Storytelling, Building the team and role sharing team, Problem providing, Planning for problem solving, Brend Story structuralization, Cooperative Learning and Problem solving, announcement of the results and evaluating and reflection of general. And then learning supporting components for a facilitator and a learner were prepared for each process. Established in a Blended learning Environment was created based on all-line, how to teach and learning supporting organization. Final Model was suggested as a blueprint for stages actual learning which was consisted of a introductory storytelling part, an main storytelling part and a post storytelling part.

Application of a Project-Based Learning on Community Dental Hygiene (프로젝트 기반 지역사회치위생학 현장실습 수업적용 사례)

  • Choi, Moon Sil
    • Journal of Convergence for Information Technology
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    • v.8 no.6
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    • pp.31-41
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    • 2018
  • The purpose of this study was to investigate the applicability of project - based learning as a teaching method for 'Dental Hygiene Practice' in the community dental hygiene department at G city S university. The subjects were 30 students in the fourth grade in 2018. Data collection period was from March 12 to June 27, and mean and standard deviation were compared using SPSS 20.0 program. The results of the analysis showed that the score of the team with high team performance was high ($3.91{\pm}0.82$), the students were required to practice ($4.10{\pm}0.88$), and the feedback from the professor ($3.73{\pm}0.86$) Satisfaction was high. It was determined that the application of project - based learning classes in the 'Community Dental Hygienic Field Practice' course was appropriate for the class.

The Effects of Problem Based Learning on the Social Psychology of Clothing course (Problem Based Learning (PBL) 을 이용한 의상학과 이론수업방식에 관한 고찰)

  • Lee, Seung-Hee
    • Journal of Fashion Business
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    • v.13 no.5
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    • pp.93-101
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    • 2009
  • The purpose of this study was to examine the effects of PBL (Problem based-learning) on the social psychology of clothing course. Thirty-seven undergraduate university students completed a 15-week capstone course in a clothing and textiles department. Eighty-one percent of the participants were majoring in the clothing and textiles. The study was conducted two focus group interview with 37 undergraduate students. The participants demonstrated positive attitude toward the PBL (Problem Based Learning) in Social Psychology of Clothing course. The results showed that the students have more opportunities to practice collaboration within the team and to increase their self-esteem and self-confidence through the 15 week of teamwork. The participants were developed to express their opinion actively and solving the problem skills. Eighty percent of the instructors had a positive attitude toward the achievement of the course objectives. Seventy-five percent of the instructors expressed the difficulty of student's evaluation. Fifty-five percent of the instructors had a difficulty of development of module problems.

Analysis of learning effects of the problem based method and the project team teaching method in engineering education- A case study (공학교육에서 PBL 교수법과 Project-team 교수법의 학습효과 분석-사례연구)

  • Kim, Jae-Saeng;Hyun, Jeong-Hee
    • Proceedings of the Korea Contents Association Conference
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    • 2019.05a
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    • pp.471-472
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    • 2019
  • 많은 나양한 교수법들이 존재하지만 일반적으로 공학 교과목에서는 PBL교수법과 프로젝트 팀 교수법을 가장 많이 사용하고 있다. 본 논문에서는 2018년 2학기 공학 프로그래밍 교과목을 3개를 선정하여 PBL 교수법과 프로젝트팀 교수법을 적용하였고, 두 교수법의 학습만족도, 교육성장도, 학업성취도를 설문조사하여 학습효과를 분석하여 보았다. 그 결과는 저학년은 PBL법이, 고학년은 프로젝트 팀 교수법이 학습효과가 좋았다. 따라서 같은 프로그래밍 교육이지만 학년에 따라 교수법을 달리 선택할 필요가 있다.

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Learning Effects of Divide-and-Combine Principles and State Models on Contradiction Problem Solving and Growth Mindset (분할-결합 원리와 상태모형에 대한 학습이 모순문제 해결과 성장 마인드세트에 미치는 영향)

  • Hyun, Jung Suk;Park, Chan Jung
    • Knowledge Management Research
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    • v.14 no.4
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    • pp.19-46
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    • 2013
  • This paper aims to show the learning process and the educational effects of Divide-and-Combine principles and State Models, which are included in the Butterfly Model for creative problem solving. In our State Models, there are Time State Model, Space State Model, and Whole-Parts State Model. We have taught middle school students (for 18 hours), high school students (for 24 hours), and undergraduate students (for 1 semester) about our proposed Models when they solved contradiction problems. Also, we have made the students learn our contradiction resolution algorithms by themselves based on team-based discussion. By learning and by using our Models, the students had the higher level of expertise in contradiction problems and had the growth mindset that made them have confidence in themselves and kept them challenging themselves about problems. Also, learning and solving with our Models improved the students' growth mindset as well as their problem-solving ability.

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Research on Local and Global Infrared Image Pre-Processing Methods for Deep Learning Based Guided Weapon Target Detection

  • Jae-Yong Baek;Dae-Hyeon Park;Hyuk-Jin Shin;Yong-Sang Yoo;Deok-Woong Kim;Du-Hwan Hur;SeungHwan Bae;Jun-Ho Cheon;Seung-Hwan Bae
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.7
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    • pp.41-51
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    • 2024
  • In this paper, we explore the enhancement of target detection accuracy in the guided weapon using deep learning object detection on infrared (IR) images. Due to the characteristics of IR images being influenced by factors such as time and temperature, it's crucial to ensure a consistent representation of object features in various environments when training the model. A simple way to address this is by emphasizing the features of target objects and reducing noise within the infrared images through appropriate pre-processing techniques. However, in previous studies, there has not been sufficient discussion on pre-processing methods in learning deep learning models based on infrared images. In this paper, we aim to investigate the impact of image pre-processing techniques on infrared image-based training for object detection. To achieve this, we analyze the pre-processing results on infrared images that utilized global or local information from the video and the image. In addition, in order to confirm the impact of images converted by each pre-processing technique on object detector training, we learn the YOLOX target detector for images processed by various pre-processing methods and analyze them. In particular, the results of the experiments using the CLAHE (Contrast Limited Adaptive Histogram Equalization) shows the highest detection accuracy with a mean average precision (mAP) of 81.9%.