• Title/Summary/Keyword: learning guidance

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Elementary School Teachers' Conception of the Learning Content of Elementary Science Education Subject Required in the 4th Industrial Revolution Era (4차 산업혁명 시대에 필요한 초등 과학교육학 과목의 학습 내용에 대한 초등 교사의 인식)

  • Na, Jiyeon
    • Journal of Science Education
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    • v.45 no.1
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    • pp.90-104
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    • 2021
  • This study conducted an online survey to understand what elementary school teachers think about the learning contents of elementary science education subjects needed to train elementary science teachers suitable for the era of the 4th Industrial Revolution. The results are as follows: First, there were many elementary school teachers who thought that the current learning content of elementary science education was not suitable for the era of the 4th Industrial Revolution and that it needed to modify the learning content. Many of the teachers said that the learning content of the subject did not include the characteristics of the 4th Industrial Revolution, but also did not reflect the changes of the times and remained in the past. Second, the content that elementary school teachers thought was important in training elementary school teachers suitable for the era of the 4th Industrial Revolution was mainly related to the interests and curiosity of students, and scientific experiments or inquiry. On the contrary, the items that they thought should be deleted or reduced included science learning theory, science teaching/learning model, nature of science, and guidance for gifted children. Third, the contents that elementary school teachers thought needed to be added as learning content of elementary science education subjects were SSI education, science education-related social change and future prediction, advanced science technology, STEAM guidance, and integrated education within the science field. Fourth, in order to train elementary school teachers suitable for the era of the 4th Industrial Revolution, the contents that they thought should be introduced first as learning content of elementary science education subjects were SSI education, integrated education within the science field, STEAM guidance, and core competencies. Other contents that need to be introduced were software education, safety education, and project learning methods.

A Study on Special Teachers' Attitude toward Classroom Layout for Special Students (특수학급 공간구성에 대한 특수학급교사의 의식에 관한 연구)

  • Kang, Byoung-Keun;Seong, Ki-Chang;Kin, Jin-Chul
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.15 no.2
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    • pp.51-58
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    • 2009
  • These days the trend of special education is changing from special school-based education to special class room based education, and from separated education to integrated education. In accordance with this change, special classes should be planned for multi purposes so that the class room can be used for the place of teaching and learning, guidance, job education. This research surveyed the special teachers working for 937 schools which have special classes(elementary 631, middle 217 high school 89). The result of this survey shows the different responses according to the level of the schools. For education activities, elementary and middle schools put emphasis on curriculum rather than guidance. High education, elementary school should have the places for teaching and learning, student management, play ground. Middle schools give priority to the places for individual learning, computer and practical training. High schools value the places for job education and practical training above for learning.

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Relation between clinical learning environment and clinical performance competency in dental hygiene students (치위생대학생의 현장실습교육환경과 임상수행능력 간의 관계)

  • Hae-Kyung Hong;Young-Nam Kim;Gyeong-Soon Han
    • Journal of Korean society of Dental Hygiene
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    • v.23 no.6
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    • pp.501-509
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    • 2023
  • Objectives: This study aimed to analyze the relation between factors related to the clinical performance competency of dental hygiene students and their clinical learning environment. Methods: The study conducted a survey of dental hygiene students from October 18 to 30, 2023. The data were analyzed using one way analysis of variance, t-test, and stepwise multiple regression. Results: The total practicum lasted ≤10 weeks, 11-15 weeks, and ≥16 weeks for 41.7%, 33.5%, and 24.8% of the students, respectively. Half of them had experience at only one clinical institution. Clinical learning environment had an average score of 3.46 points, whereas the average clinical performance competency of the participants was 3.60 points. The major influencing factors on clinical performance competency were identified as preceptor' s guidance (β=0.277), work participation opportunities (β=0.213), and perceived importance of clinical practice (β=0.136). Conclusions: Efforts are required to provide students with prior education on the importance of clinical practice, improve the clinical learning environment with a focus on preceptor's guidance and work participation opportunities. And standardize various elements to resolve differences in the practice of clinical institutions across regions.

Instructional Design of Self-directed Information Communication Ethics Education based on the UCC Dramatization Learning (UCC 활용 극화학습 기반 자기주도적 정보통신윤리교육 수업 설계)

  • Kim, Hyun-Bae;Mun, Jeong-Hee
    • Journal of The Korean Association of Information Education
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    • v.14 no.4
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    • pp.561-570
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    • 2010
  • In recent years, we can see attempts to take advantage of UCC in a way of the education. But in the precedent studies there are not many guidance plans to help teachers apply UCC in the classroom. The purpose of this paper is to suggest a guidance plan to help teachers apply UCC in the classroom and to analyze the effect of educational using UCC Dramatization learning model on the expanding of students' self-directed learning ability in the information communication ethics education. For this, first, a teacher executes preliminary inspection about self-directed learning ability second, students study about "how to prevent them from cyber crime" using UCC Dramatization learning model. Third a teacher executes post inspection about self-directed learning ability and measures the degree of improvement on self-directed learning ability. The final step is to extract the implications from the analysis of the experiments.

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Framework of micro level e-Learning quality dimensions

  • Cho, Eun-Soon
    • International Journal of Contents
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    • v.5 no.2
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    • pp.1-5
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    • 2009
  • This study was to analyze important dimensions and its factors of micro level of e-learning determining the quality of e-learning. E-learning dimensions and their factors were identified and developed from the analytical review of related researches. From literature review and survey as well as expert interview, six categories of e-learning identified from this study were: 1) curriculum content, 2) usability, 3) instructional design, 4) evaluation -both process and results, 5) management, and 6) refinement and improvement. A total of thirty-seven factors determining the quality of the e-learning six categories were identified. The rank order and contribution rates for each categories and factors were calculated to explain how importantly they contribute to the quality of e-learning. Also three dimensions such as controlling the e-learning quality, e-learning fundamental dimension e-learning process dimension, and e-learning product dimension, were explained. This study suggests a useful guidance for e-learning quality and evaluation framework for better results.

Career Path Education System at the College of Medicine, The Catholic University of Korea (가톨릭대학교 의과대학 진로지도 교육체제)

  • Dong-Mi Yoo;Wha Sun Kang
    • Korean Medical Education Review
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    • v.26 no.1
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    • pp.19-26
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    • 2024
  • This study examines a systematic and effective approach to career guidance in medical education, with a particular focus on the 6-year integrated career guidance education framework implemented at the College of Medicine, The Catholic University of Korea. Based on the "New SLICE" educational development principles, this framework comprehensively addresses the needs of medical students in career planning and development. It is structured into three phases: understanding yourself, exploring options, and choosing a specialty. The first phase, understanding yourself, helps students to recognize their strengths, weaknesses, aptitudes, and potentials, thereby setting the direction for future career choices. This phase includes various psychological tests and Self-Development and Portfolio courses. The second phase, exploring options, enables students to engage in related activities such as research and practical training, providing direct and indirect experiences across various fields. This phase offers courses including Medical Field Experience, Career Guidance through the Learning Community & Advisory Professors, and Student Participation in Professor Research Projects. The final phase, choosing a specialty, involves students making decisions based on in-depth self-assessment and exploration of majors, with a capstone project being a significant component. Maximizing the efficiency of career decision-making requires integration between the basic medical curriculum and postgraduate education. Including the period up to residency entrance in the framework is necessary for effective career guidance education.

Vocational Guidance Program Development for Course Selection to Activate Vocational Education (직업 교육 활성화를 위한 전공 진로 지도 프로그램 개발)

  • Park Sung-Jong;Han Myoung-Seok;Kim Kab-Il
    • Journal of Engineering Education Research
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    • v.3 no.2
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    • pp.61-70
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    • 2000
  • To survive in the highly competitive environment, a vocational education institution must offer its students an attractive system of competency based vocational education. A first-term freshman at university and college should also be allowed to adjust the course selection Early exposure within one or more fields of study creates a high level of enthusiasm which helps students maintain their motivation. It also helps students decide if course selection is right for career choice and they should be provided a large number of diverse occupational opportunities later In this paper, we discuss how to activate the vocational education. Also we developed vocational guidance program for course selection through the subject for vocational guidance and the learning map for learning plan. This program was assessed through the survey on opinions of freshman.

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Knowledge-guided artificial intelligence technologies for decoding complex multiomics interactions in cells

  • Lee, Dohoon;Kim, Sun
    • Clinical and Experimental Pediatrics
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    • v.65 no.5
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    • pp.239-249
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    • 2022
  • Cells survive and proliferate through complex interactions among diverse molecules across multiomics layers. Conventional experimental approaches for identifying these interactions have built a firm foundation for molecular biology, but their scalability is gradually becoming inadequate compared to the rapid accumulation of multiomics data measured by high-throughput technologies. Therefore, the need for data-driven computational modeling of interactions within cells has been highlighted in recent years. The complexity of multiomics interactions is primarily due to their nonlinearity. That is, their accurate modeling requires intricate conditional dependencies, synergies, or antagonisms between considered genes or proteins, which retard experimental validations. Artificial intelligence (AI) technologies, including deep learning models, are optimal choices for handling complex nonlinear relationships between features that are scalable and produce large amounts of data. Thus, they have great potential for modeling multiomics interactions. Although there exist many AI-driven models for computational biology applications, relatively few explicitly incorporate the prior knowledge within model architectures or training procedures. Such guidance of models by domain knowledge will greatly reduce the amount of data needed to train models and constrain their vast expressive powers to focus on the biologically relevant space. Therefore, it can enhance a model's interpretability, reduce spurious interactions, and prove its validity and utility. Thus, to facilitate further development of knowledge-guided AI technologies for the modeling of multiomics interactions, here we review representative bioinformatics applications of deep learning models for multiomics interactions developed to date by categorizing them by guidance mode.

Design and Implementation of an Intelligent System for Real-Time Route Guidance (실시간 경로 조언을 위한 지능형 시스템의 설계 및 구축)

  • Kim, Seong-In;Kim, Hyun-Kee
    • IE interfaces
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    • v.15 no.4
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    • pp.374-381
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    • 2002
  • In this paper, we design and implement a real-time route guidance system(RGS) in large-scale networks. Coupled with the well-known mathematical routing algorithms, we devise an RGS for knowledge aquisition and self-learning ability within the framework of the expert system. Through off-line construction of database, on-line treatment of unexpected traffic accidents, etc., the developed RGS can provide drivers with good quality real-time routing information. The practical effectiveness of the proposed system is demonstrated in terms of response time and route appropriateness.

Comparative Study of Learning Platform for IT Developers (IT 개발자 대상 학습플랫폼 비교 연구)

  • Lee, Ji-Eun
    • Journal of Information Technology Services
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    • v.20 no.5
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    • pp.147-158
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    • 2021
  • The digital transformation and COVID-19 are also causing major changes in teaching-learning methods. The biggest change is the spread of remote training and the emergence of various innovative learning platforms. Distance education has been criticized for not meeting technology trends and field demands..However, the problem of distance education is being solved through a system that supports various interactions and collaborations and supports customized learning paths. The researcher conducted a case study on domestic and foreign learning platforms that provide non-face-to-face ICT education. Based on the case study results, the researcher presented the functional characteristics of a learning platform that effectively supports non-face-to-face learning. In common, these sites faithfully supported the basic functions of the information system. In addition to learning progress check and learning guidance, some innovative learning platforms were providing differentiated functions in practice support, performance management, mentoring, learning data analysis, curation provision, and CDP support. Most learning platforms supported one-way, superficial interaction. If the platform effectively supports a variety of learning experiences and provides an integrated learning experience thanks to the development of IT technology, user satisfaction with the learning platform, intention to continue learning, and achievement will increase.