• Title/Summary/Keyword: Experience of Learning

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Ship Type Prediction using Random Forest with Limited Ship Information (제한적 선박 정보와 무작위의 숲 분류기를 이용한 선종 예측)

  • Ho-Kun Jeon;Jae Rim Han
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.06a
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    • pp.106-107
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    • 2022
  • The ship type identification of the surrounding ship is important information for navigators and VTS officers since they can estimate the maneuverability and near-future route of the ships. However, it is more than frequent that the information is not provided due to transmission trouble and seafarers' unfamiliarity with AIS. Thus, this study suggests predicting ship types through the Random Forest classifier after preparing a training and test dataset that contains ship features and types. The AIS data for Ulsan coast in 2018 was used for this study. The method may provide the effect that many navigators and VTS officers discuss and share the experience of predicting ship types.

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Introducing a New Pedagogical Approach for Ergonomic Pattern Education: Leveraging a Half-Scale Body Form Based on 3D Modeling (인체공학적 패턴 교육을 위한 새로운 교수법 제안: 3D 모델링 기반으로 제작한 Half Scale Body Form를 이용하여)

  • Lin Chen;Yuhwa Hong;Juyeon Park
    • Fashion & Textile Research Journal
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    • v.26 no.1
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    • pp.78-87
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    • 2024
  • This study aimed to propose an innovative teaching pedagogy using a half-scale body form in apparel design education and evaluate its effectiveness in augmenting students' understanding of ergonomic patterns. Constructed in alignment with Phoenix's (2018) study, which used 3D body scanning and digital editing software, the half-scale body form was created through a five-step process, encompassing body measurement, 3D body modeling, fabrication of a physical half-scale body form, pattern making, and evaluation. Implemented in an undergraduate patternmaking course offered at a 4-year university in the metropolitan Seoul, this instructional approach's effectiveness was gauged through students' course projects and exit interviews. The results underscored the positive impact of the proposed teaching pedagogy on students' grasp of ergonomic pattern development, fostering a keen understanding of diverse body shapes and sizes and the relationship between the human body and garments. Furthermore, it played a role in cultivating positive body image and self-endorsement among students. The research contributes meaningfully by presenting a fresh perspective in apparel design education, seamlessly integrating advanced anthropometric and technological tools into a conventional patternmaking classroom. It offers a novel learning experience for students majoring in apparel, creating a fun and interactive teaching environment.

Exploratory Study on Application of PBL at Global TVET (글로벌 TVET에서의 PBL 적용에 대한 탐색적 연구)

  • Mi Hwa Kim
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.1
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    • pp.571-577
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    • 2024
  • This study was conducted to explore the effectiveness of PBL application at Technical and Vocational Education and Training. PBL was applied to the course of the A University's global TVET and these PBL classes were organized and operated for 8 weeks. After that, written interviews and surveys were conducted and the results were analyzed. Learners responded positively to their satisfaction and engagement to the PBL experience and also presented that they felt that communication skills and problem-solving skills were cultivated through self-directed learning process and team activities. Through the above research results, the precedence of content analysis and learner analysis, related support for the spread of PBL application in TVET, and support to strengthen teaching competency on PBL at TVET were proposed.

Business Intelligence Design for Strategic Decision Making for Small and Midium-size E-Commerce Sellers: Focusing on Promotion Strategy (중소 전자상거래 판매상의 전략적 의사결정을 위한 비즈니스 인텔리전스 설계: 프로모션 전략을 중심으로)

  • Seung-Joo Lee;Young-Hyun Lee;Jin-Hyun Lee;Kang-Hyun Lee;Kwang-Sup Shin
    • The Journal of Bigdata
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    • v.8 no.2
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    • pp.201-222
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    • 2023
  • As the e-Commerce gets increased based on the platform, a lot of small and medium sized sellers have tried to develop the more effective strategies to maximize the profit. In order to increase the profitability, it is quite important to make the strategic decisions based on the range of promotion, discount rate and categories of products. This research aims to develop the business intelligence application which can help sellers of e-Commerce platform make better decisions. To decide whether or not to promote, it is needed to predict the level of increase in sales after promotion. I n this research, we have applied the various machine learning algorithm such as MLP(Multi Layer Perceptron), Gradient Boosting Regression, Random Forest, and Linear Regression. Because of the complexity of data structure and distinctive characteristics of product categories, Random Forest and MLP showed the best performance. It seems possible to apply the proposed approach in this research in support the small and medium sized sellers to react on the market changes and to make the reasonable decisions based on the data, not their own experience.

The Analysis on the Results of Mathematics Field Trips for Pre-service Mathematics Teacher (예비교사를 위한 수학답사활동 수행 결과 분석)

  • Suh, Bo Euk
    • Communications of Mathematical Education
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    • v.30 no.2
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    • pp.139-159
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    • 2016
  • This study is the field of mathematics education on the assumption that they can extend outside the classroom. Recent mathematics education is increasing the importance of field experience and various activities based on real-life math education. Thus, it is necessary to consider this situation in pre-service teacher's education. The purpose of this study is to apply the 'Mathematics Field Trips Activities' in the pre-mathematics teacher education. So the specific case of 'Mathematics Field Trips Activities' was analyzed. Mathematics teachers conducted preliminary exploration activities on the historical cultural property which were effective in the following four aspects. First, cognitive effects and second, definitive effect. Third, cultural-mathematical effect. Fourth, the effect on improving math class. Finally they were summarized and divided into classes target content knowledge and teaching knowledge both sides. As a result, the 'Mathematics Field Trips Activities' were found to have significant effects on pre-service math teacher. Finally, ongoing research is needed to settle into a new teaching and learning methods.

Active Spinning Training System using Complex Physiological Signals (복합 생체신호를 이용한 능동형 스피닝 트레이닝 시스템)

  • Kim, Cheol-Min;Kang, Gyeong-Heon;Kim, Eun-Seok
    • The Journal of the Korea Contents Association
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    • v.15 no.7
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    • pp.591-600
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    • 2015
  • Recently high interest in health and fitness has led to vibrant researches for the active fitness system to learn and enjoy the exercise program for oneself. In this paper, we design and implement the active spinning training system which enables user to have self-learning and experience of customized spinning training program by the biometric and movement information acquired from user's physiological signals. The proposed system provides the appropriate difficulty of spinning program which reflects the concordance rate of spinning dance gestures and the amount of exercising by analyzing the physical status of participant from his brain and pulse waves and recognizing the skeletal movement in real time. For the higher exercise effect, the system offers a virtual personal trainer to show the correct poses and controls the level of difficulty depending on the concordance rate of participant's motions. The experiment with various participants through the proposed system shows that it is able to help users in getting the available exercise effect in comparatively short time.

The Effects of Hypermedia Menu Types and Metacognition on Errors, Menu Search Time, and Achievements (하이퍼미디어 메뉴방식과 메타인지가 오류, 메뉴탐색 시간 및 학업성취에 미치는 효과)

  • Kim, Jeong-Rang
    • Journal of The Korean Association of Information Education
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    • v.1 no.1
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    • pp.11-27
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    • 1997
  • The purpose of this paper is to examine some effects of four menu types: icon menu, icontext menu, pulldown menu, and bar selection menu. Each have been mainly used with hypermedia instruction, learners' metacognition on their errors, menu search time, and scholastic achievements. A further purpose of this paper is suggest some strategies for enabling each learner to select menus more efficiently in order to enhance the learner's own learning effectiveness in hypermedia instruction. There were 100 college students selected as subjects for This study. They had never had experience in Hanoi hypermedia instruction. They were required to use four menu types at random in this experiement. The results of this study are as follows. The menu types had a significant effect on the low metacognition regulation group. Icontext menu types, especially, had a significant effect on achievements. In constrast to this, the menu types did not have any significant effect on the high metacognition regulation group.

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Exploring of Collaborative Strategy for Pre-service Teacher's Block-based Programming Education (예비교사의 블록 기반 프로그래밍 교육을 위한 협업전략 탐구)

  • Sung, Younghoon
    • Journal of The Korean Association of Information Education
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    • v.24 no.4
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    • pp.401-412
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    • 2020
  • Team-based programming methods are widely applied to solve various difficulties that pre-service teachers experience in the programming lessons. To prepare effective collaboration strategies necessary for them, it is necessary to analyze various collaborative factors that affect learners' programming competencies. Therefore, in this article, a questionnaire survey was conducted by dividing learners' collaboration factors into individual and team competencies, and the relationship between learners' programming competencies was analyzed. As a result of the verification, the program design competency showed significant results in all elements of the learner's personal competency, team techniques such as data sharing skills necessary for collaboration, and team collaboration. It was analyzed that an individual's understanding of learning and team collaboration influenced the program implementation competency. In addition, the group with relatively high team technique showed significant differences in programming competence, interest, and satisfaction. Accordingly, by linking meaningful factors related to individual and team competencies according to the programming process, a collaborative strategy practically necessary for pre-service teachers was suggested.

Current Conditions and Students' Perception on Mathematics Exhibition (수학체험전의 실태와 학생들의 인식)

  • Lee, Jae-Hak;Park, Sun-Mi
    • School Mathematics
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    • v.13 no.2
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    • pp.229-243
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    • 2011
  • The mathematics exhibition gives visitors a special chance to experience mathematics materials through a variety of exhibits. Thus, the study should be carried out by examining the impact on students' perception in the area of mathematics education. This study was conducted based on the three domestic mathematics exhibitions. I carried out the study, with the population of the middle and high school students consisted of 393 attendees and 135 volunteers at the exhibitions, to examine (1) the current condition of exhibitions' operating system and exhibits, (2) the reaction to the exhibits' contents, presentation methods, exhibitions' operating systems, and facilities, and (3) the cognitive and affective effects on the students' perception, engagement, and motivation. From the research-based study, I found more pros on the mathematics exhibition than cons. Therefore, in my opinion, the exhibition's role should be defined as an efficient supplementary method to complement the school curriculum. It is also necessary to develop the appropriate exhibits' contents reflecting the students' levels and needs. The government should provide enough financial supports to various mathematics exhibitions in order to install amenities and facilities for visitors.

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Factor Analysis on Use Tendency of Digital Product and Generation Division (디지털기기 사용성향 요인분석 및 세대 구분 연구)

  • Yeoun, Myeong-Heum;Shim, Jung-Hee
    • 한국HCI학회:학술대회논문집
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    • 2008.02b
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    • pp.7-12
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    • 2008
  • This study aims to extract the factors which constitute use tendency on digital product, and to devide korean generation. We surveyed to digital product users who are 15 through 49 years old, executed factor analysis, cluster analysis, and so on, The results of factor analysis, we selected 11 factors, named as interest, entertainment, simplicity, anxiety of mal-operation, practicality, personality, consistency, multi-functionality, learning style of how-to-use, responsibility of disorder, and lending degree. The results of cluster analysis, we classified subjects into following three types: positive acceptor, passive follower, and conservative indifference. And, we executed frequency analysis iteratively. We devide korean digital product users to 4 generations -1727G, 2834G, 3538G, 3949G- by means of synthesizing the results. It can be said that generation is strong factor effect to use tendency, but the other factors like sex, occupation, school career, income become weak factor or not matters. Finally, we considered the reason, 3538G takes a crossing point role through comparison the generation division with cohort research on product use experience.

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