• Title/Summary/Keyword: effective science learning environments

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L-CAA : An Architecture for Behavior-Based Reinforcement Learning (L-CAA : 행위 기반 강화학습 에이전트 구조)

  • Hwang, Jong-Geun;Kim, In-Cheol
    • Journal of Intelligence and Information Systems
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    • v.14 no.3
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    • pp.59-76
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    • 2008
  • In this paper, we propose an agent architecture called L-CAA that is quite effective in real-time dynamic environments. L-CAA is an extension of CAA, the behavior-based agent architecture which was also developed by our research group. In order to improve adaptability to the changing environment, it is extended by adding reinforcement learning capability. To obtain stable performance, however, behavior selection and execution in the L-CAA architecture do not entirely rely on learning. In L-CAA, learning is utilized merely as a complimentary means for behavior selection and execution. Behavior selection mechanism in this architecture consists of two phases. In the first phase, the behaviors are extracted from the behavior library by checking the user-defined applicable conditions and utility of each behavior. If multiple behaviors are extracted in the first phase, the single behavior is selected to execute in the help of reinforcement learning in the second phase. That is, the behavior with the highest expected reward is selected by comparing Q values of individual behaviors updated through reinforcement learning. L-CAA can monitor the maintainable conditions of the executing behavior and stop immediately the behavior when some of the conditions fail due to dynamic change of the environment. Additionally, L-CAA can suspend and then resume the current behavior whenever it encounters a higher utility behavior. In order to analyze effectiveness of the L-CAA architecture, we implement an L-CAA-enabled agent autonomously playing in an Unreal Tournament game that is a well-known dynamic virtual environment, and then conduct several experiments using it.

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Development of an Alternative In-Service Program for Professional Development for Teachers of Science through STS/Constructivist Approach (과학교사들의 전문성 향상을 위한 대안적 현직 교육 프로그램의 개발-STS/구성주의 모듈 개발 및 적용)

  • Cho, Jung-Il;Park, Heon
    • Journal of The Korean Association For Science Education
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    • v.19 no.2
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    • pp.340-352
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    • 1999
  • Constructivist theory and teaching science in the social context are a main stream in science education. This study was purposed to introduce the STS in-service program implementing in Chonnam National University. and to analyze the results of the program in terms of changes of teachers' and students' perceptions and attitudes. The major features of the STS in-service program were as follows: teacher-centered. teaching in the social context. emphasis on constructivist approach. development of STS module and implementations. A total of 20 secondary science teachers participated in the in-service program. and filled out two questionnaires. Science Education Reform Inventory and Constructivist Teachings Survey. Three of the 20 teachers were selected to gain information from their implementations of a STS module into their respective classrooms. The students completed two instruments. Constructivist Learning Environment Survey. and Scientific Attitude Survey. The responses from teachers and students are as follows: 1. The participating teachers were very aware of the necessity of reform in science education. and the degree of the perception of the necessity increased after the STS in-service program. 2. The STS program significantly improved constructivist teaching techniques. 3. The perceptions of the students about constructivist learning environments improved significantly after the STS in-service program. 4. Students' scientific attitudes improved significantly through STS approach. The STS in-service program with the above mentioned features was found to be effective in our current school system. and could be implemented successfully if teachers were willing to learn and participate in the reforms of science education.

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A Study on RN Students′ Education Satisfaction Toward RN-to-BSN Programs (간호학사 편입학과정(RN-BSN)생들의 특성 및 교육만족도 조사)

  • 김현실;이옥자
    • Journal of Korean Academy of Nursing
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    • v.29 no.4
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    • pp.963-976
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    • 1999
  • This study was undertaken to investigate the general characteristics of students, which include the degree of satisfaction, motives of admission, the recognition of advantages and disadvantages, opinion of students on self-directed learning, and planning and anticipatory effects after graduation. Data was collected through a questionnaire survey over a period of four months, from May 1997 to August 1997. The subjects used for this study consisted of 322 RN students sampled from six RN-to-BSN programs in Korea using the census sampling method. Statistical methods employed for this study included discriptive statistics, M ANOVA, and F-test. The results of the study are as follows 1. The RN students' motives of admission to RN-to-BSN programs were ‘for personal advancement’, ‘to earn a BSN degree’, and ‘for professional development’ in this order. 2. The RN students' responses to the advantages of RN-to-BSN programs were ‘acquisition of new knowledge and a BSN degree’ and ‘to gain professional thinking and a broader view’, while as the disadvantages of RN-to-BSN programs were ‘geographical isolation of institutions’, ‘limitation of information’, and ‘underdeveloped school environments’ in this order. 3. The survey based on opinions toward self-directed learning showed that there was a need of detailed guidelines for self-directed learning. Most agreed that it was a very effective learning method for a RN student, and the self-directed learning method Increases motives for learning. 4. The students' anticipatory effect after graduation were ‘self-achievement’, ‘development of professional skills’, and ‘admission to post-graduate school or programs to study abroad’. 5. The students were very satisfied with the quality of faculty members, and satisfied with the quality of lectures and teaching. However, students were unsatisfied with rented lecture rooms, and very unsatisfied with self-directed learning methods. 6. School nurses showed higher statistical significances in the need for teaching material and anticipatory effect after graduation than other RN students working in hospitals and public health agencies. Also, school nurses, public health nurses, and industry nurses showed higher statistical significances in motives of admission than RN students working in hospitals. Further more, staff nurses, school nurses, and industry nurses showed higher levels of satisfaction toward a RN-to-BSN programs than nurses in higher positions, such as administrators or directors of nursing. 7 City residents were more satisfied with RN-to-BSN programs than rural residents. Otherwise, the rural residents had higher motives for admission, a bigger need for teaching materials, and recognition of the disadvantages of RN-to-BSN programs than city residents. Finally, RN students who earned below a monthly income of ₩1,000,000 showed higher motivation for admission than those who earned more than ₩1,000,000.

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Pest Control System using Deep Learning Image Classification Method

  • Moon, Backsan;Kim, Daewon
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.1
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    • pp.9-23
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    • 2019
  • In this paper, we propose a layer structure of a pest image classifier model using CNN (Convolutional Neural Network) and background removal image processing algorithm for improving classification accuracy in order to build a smart monitoring system for pine wilt pest control. In this study, we have constructed and trained a CNN classifier model by collecting image data of pine wilt pest mediators, and experimented to verify the classification accuracy of the model and the effect of the proposed classification algorithm. Experimental results showed that the proposed method successfully detected and preprocessed the region of the object accurately for all the test images, resulting in showing classification accuracy of about 98.91%. This study shows that the layer structure of the proposed CNN classifier model classified the targeted pest image effectively in various environments. In the field test using the Smart Trap for capturing the pine wilt pest mediators, the proposed classification algorithm is effective in the real environment, showing a classification accuracy of 88.25%, which is improved by about 8.12% according to whether the image cropping preprocessing is performed. Ultimately, we will proceed with procedures to apply the techniques and verify the functionality to field tests on various sites.

Instructional Study Design of the Application of BPBL in Engineering College in Mongolia (몽골 공과대학교에서의 BPBL을 적용하기 위한 교수설계 방안 연구)

  • Natsagdorj, Bayarmaa;Lee, Keunsoo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.12
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    • pp.504-510
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    • 2016
  • This study presents a model for blended problem-based learning (BPBL) for engineering colleges in Mongolia in order to efficiently train talented Mongolian specialists "With problem-solving skills for the current information technology era. BPBL is learner-centered teaching method that promotes learning. Moreover, current teaching methods in the engineering colleges of Mongolia should change to novel and flexible teaching environments and methods that meet learners' needs. Thus, using BPBL for engineering education development in Mongolia will provide more teaching possibilities, which will assist the professors. Over the past few years, universities in Mongolia have established the Center for Teacher Development, which provides training and gives advice to staff about teaching methods, although the majority of lectures are still fragmentary and anecdotal. Therefore, many professors teach the way they learned, and most teaching methods used up till now have been teacher-centered. However, modern college instructors and modem society demand different engineering teaching methods from teachers who are more familiar with old-fashioned methods. Furthermore, the methods should meet the needs of individuals and groups who prefer to apply technology in the engineering learning process. Using an effective engineering strategy in the development of a new engineering teaching method will lead to its success.

A Method for Generating Malware Countermeasure Samples Based on Pixel Attention Mechanism

  • Xiangyu Ma;Yuntao Zhao;Yongxin Feng;Yutao Hu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.2
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    • pp.456-477
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    • 2024
  • With information technology's rapid development, the Internet faces serious security problems. Studies have shown that malware has become a primary means of attacking the Internet. Therefore, adversarial samples have become a vital breakthrough point for studying malware. By studying adversarial samples, we can gain insights into the behavior and characteristics of malware, evaluate the performance of existing detectors in the face of deceptive samples, and help to discover vulnerabilities and improve detection methods for better performance. However, existing adversarial sample generation methods still need help regarding escape effectiveness and mobility. For instance, researchers have attempted to incorporate perturbation methods like Fast Gradient Sign Method (FGSM), Projected Gradient Descent (PGD), and others into adversarial samples to obfuscate detectors. However, these methods are only effective in specific environments and yield limited evasion effectiveness. To solve the above problems, this paper proposes a malware adversarial sample generation method (PixGAN) based on the pixel attention mechanism, which aims to improve adversarial samples' escape effect and mobility. The method transforms malware into grey-scale images and introduces the pixel attention mechanism in the Deep Convolution Generative Adversarial Networks (DCGAN) model to weigh the critical pixels in the grey-scale map, which improves the modeling ability of the generator and discriminator, thus enhancing the escape effect and mobility of the adversarial samples. The escape rate (ASR) is used as an evaluation index of the quality of the adversarial samples. The experimental results show that the adversarial samples generated by PixGAN achieve escape rates of 97%, 94%, 35%, 39%, and 43% on the Random Forest (RF), Support Vector Machine (SVM), Convolutional Neural Network (CNN), Convolutional Neural Network and Recurrent Neural Network (CNN_RNN), and Convolutional Neural Network and Long Short Term Memory (CNN_LSTM) algorithmic detectors, respectively.

A Preliminary Study of the Application of Prototyping Tools for Design Education Plans; Focusing on Open Source Microcontroller Boards

  • Nam, Wonsuk
    • International Journal of Advanced Culture Technology
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    • v.6 no.2
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    • pp.107-116
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    • 2018
  • In the past, design has been recognized as a means to determine colors, shapes, and functions Recently, however, it has been accepted in a wider sense, namely designing the entire service, including product and user experience design. In this way, in addition to creativity and expressive power that designers have as their main competence, according to the expansion of this design object, designers are required to have comprehensive abilities in related fields and accompanying technical professional abilities. If designing as a technology application as a direction toward this situation, design education can be carried out by approaching technology as a method of expression or design subject. It can also be an effective alternative towards improving the understanding of technology. Meanwhile, many small microcontroller board products with advanced functions and multi-functional specialized programming integrated development environments (IDEs) are becoming widespread due to their open source, low cost, and scalable features. However, students in the design department who lack the basic knowledge of science and engineering have difficulties learning, which requires considerable time and is required for practical use. From this point of view, we have made advancements in the technical understanding of design education by conducting fundamental research to the effectiveness of microcontroller-based prototyping tools as means of expression. We also conducted basic education of microcontroller boards for a certain period of time on students who majored in design in conjunction with the basic survey and investigated the obstacle factors using a questionnaire. Through these surveys, we have confirmed the necessity of designing microcontroller boards of low difficulty, which simplify the coding process that can act as a barrier in difficulty for design students to apply smoothly in design education. In addition, we intend to carry out a basic study on the guideline of microcontroller design for design education and composition of education programs.

Bedside Education Will Be More Important than Now in the Age of Artificial Intelligence (인공지능 시대에 더 중요해질 침상 옆 교육)

  • Yeh, Byung-Il
    • Korean Medical Education Review
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    • v.18 no.2
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    • pp.58-64
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    • 2016
  • The birth of the scientific revolution, brought forth by Vesalius and Copernicus in 1543, marked the beginning of a new age. However, the changes such as treatment effectiveness, survival rate, prevalence of specific diseases, etc. had not yet become clear during the 16th century. In the early 17th century, Boerhaave emphasized bedside teaching and practice. His attitude influenced numerous students and educators, so many medical students visited hospital wards where he worked. From the late 18th to 19th centuries, Jenner's smallpox vaccination, Pasteur's anthrax and rabies vaccinations, and Koch's four postulates used to detect pathogens were developed using the scientific research method, which initiated big changes for medicine. Flexner, credited for reporting the new medical education system, adopted scientific medicine. He believed medical students must study basic medical science since it could be the foundation of clinical medicine and lead to a revolution in the field. He proposed a new medical curriculum composed of two-years of basic medicine and two-years of clinical medicine, which has been used more than 100 years. During the late 20th century, bedside teaching rounds decreased gradually as scientific medicine has become popular. Many medical educators in many articles have proposed bedside education as an effective method for medical learning. Despite the advent of the age of artificial intelligence and the changing of medical environments in the near future, bedside education will be more useful and important for medical students, educators, and patients as it is a traditional method and essential for patients who desire a more personal approach.

Adding AGC Case Studies to the Educator's Tool Chest

  • Schaufelberger, John;Rybkowski, Zofia K.;Clevenger, Caroline
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.1226-1236
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    • 2022
  • Because students majoring in construction-related fields must develop a broad repository of knowledge and skills, effective transferal of these is the primary focus of most academic programs. While inculcation of this body of knowledge is certainly critical, actual construction projects are complicated ventures that involve levels of risk and uncertainty, such as resistant neighboring communities, unforeseen weather conditions, escalating material costs, labor shortages and strikes, accidents on jobsites, challenges with emerging forms of technology, etc. Learning how to develop a level of discernment about potential ways to handle such uncertainty often takes years of costly trial-and-error in the proverbial "school of hard knocks." There is therefore a need to proactively expedite the development of a sharpened intuition when making decisions. The AGC Education and Research Foundation case study committee was formed to address this need. Since its inception in 2011, 14 freely downloadable case studies have thus far been jointly developed by an academics and industry practitioners to help educators elicit varied responses from students about potential ways to respond when facing an actual project dilemma. AGC case studies are typically designed to focus on a particular concern and topics have thus far included: ethics, site logistics planning, financial management, prefabrication and modularization, safety, lean practices, preconstruction planning, subcontractor management, collaborative teamwork, sustainable construction, mobile technology, and building information modeling (BIM). This session will include an overview of the history and intent of the AGC case study program, as well as lively interactive demonstrations and discussions on how case studies can be used both by educators within a typical academic setting, as well as by industry practitioners seeking a novel tool for their in-house training programs.

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Effects of a Blindfold in Improving Concentration (착용형 시야 가리개가 집중력 향상에 미치는 영향)

  • Chung, Soon-Cheol;Choi, Mi-Hyun;Kim, Hyung-Sik
    • Science of Emotion and Sensibility
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    • v.24 no.1
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    • pp.37-44
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    • 2021
  • A study was conducted on the effects of improving concentration by obscuring the peripheral vision using a blindfold that only covers the left and right sides of the field of view. The blindfold was trapezoidal in shape (5 × 4.8 cm in length and width) and was fixed to the left and right sides of the glasses with fixing clips. The material was a black-colored polypropylene (PP) and weighed 2.3 g including the clip. Qualitative and quantitative evaluations were performed on 50 healthy college students during the 15 days of using a blindfold. The qualitative analysis was performed utilizing a questionnaire regarding the improvement of concentration and the structure of the blindfold. EEG was measured while watching a learning video that required attention for quantitative analysis, and signal power and ERD/S analyses were performed for the mid β band (15-20 Hz) at the F4 position, which was the frontal lobe. The results showed that 40 of the 50 people reported improved concentration when they wore a vision shield, and 80% of the total subjects found it to be effective. From the quantitative evaluation, the ERS peak (p = 0.023) and the ERD + ERS peak value showed a significant difference (p = 0.017). In conclusion, concentration still improved even if only the left and right visual fields were used. Thus, it is expected that blindfolding could be used in various environments that require concentration.