• Title/Summary/Keyword: Rapid learning

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The Problem/Project-Based Learning (PBL/PjBL) at Online Classes

  • Kim, Yangsoon
    • International Journal of Advanced Culture Technology
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    • v.9 no.1
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    • pp.162-167
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    • 2021
  • The aim of this paper is to analyze the development of effective online Problem-Based Learning (PBL) and Project-Based Learning (PjBL). The collaborative PBL/PjBL become one of the hot issues with the rapid growth of online learning in the era of COVID-19. Educators try to get innovative to continue instruction without sacrificing student engagement, thus adopting an instructional model of PBL/PjBL. The PBL process involves clarifying terms, defining complex problems, brainstorming, structuring and hypothesis while PjBL includes project-planning, implementation, communicating the results of a project in a presentation and evaluations with immediate individually tailored feedback within a predetermined period. Despite the differences between online and offline learning, the benefits of learning online or offline are practically the same if enough bidirectional interactions between instructors and students are possible. We argue that online qualifications are just the same as those of offline ones in PBL/PjBL models, therefore, the standards of online/offline learning are identical since education is a two-way communication.

Variational Autoencoder-based Assembly Feature Extraction Network for Rapid Learning of Reinforcement Learning (강화학습의 신속한 학습을 위한 변이형 오토인코더 기반의 조립 특징 추출 네트워크)

  • Jun-Wan Yun;Minwoo Na;Jae-Bok Song
    • The Journal of Korea Robotics Society
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    • v.18 no.3
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    • pp.352-357
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    • 2023
  • Since robotic assembly in an unstructured environment is very difficult with existing control methods, studies using artificial intelligence such as reinforcement learning have been conducted. However, since long-time operation of a robot for learning in the real environment adversely affects the robot, so a method to shorten the learning time is needed. To this end, a method based on a pre-trained neural network was proposed in this study. This method showed a learning speed about 3 times than the existing methods, and the stability of reward during learning was also increased. Furthermore, it can generate a more optimal policy than not using a pre-trained neural network. Using the proposed reinforcement learning-based assembly trajectory generator, 100 attempts were made to assemble the power connector within a random error of 4.53 mm in width and 3.13 mm in length, resulting in 100 successes.

Organizational Learning as Catalyst to Technological Innovation

  • Kim, Jongbae;Wilemon, David
    • Asia Marketing Journal
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    • v.16 no.3
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    • pp.35-56
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    • 2014
  • With rapid change and intensive competition in the global economy, the capability to capture, absorb, develop, and transfer new knowledge is a key organizational success factor. Through effective learning, companies are more likely to develop the innovation, quality, and responsiveness essential to meet the growing expectations of customers and the disruptive threats of competitors and new technologies. In the paper the role of technological innovation and its relationship to organizational learning in managing technology-based new products are examined. Several factors which can influence the rate and effectiveness of organizational learning are identified. Barriers to learning also are discussed. Finally, several managerial implications and propositions for future research on learning and technological innovation are advanced.

The Future Learning Environment as Perceived by Special Education Preservice Teachers

  • KIM, Insu
    • Educational Technology International
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    • v.12 no.2
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    • pp.135-151
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    • 2011
  • Recently, a wide variety of studies on future learning have appeared owing to rapid advances in information and communication technology (ICT) and increased discussion about core competencies in twenty-first-century learning. These studies, though insufficient in number, cover various fields such as architecture (design of the learning space), education (learning model), and technology (adaptation of mobile devices). However, these studies focus on mainstream students and do not discuss the future situation of inclusive education with regard to both mainstream and students with physical disabilities. Hence, in order to fill this gap, the present study explores the perceptions and ideas held by special education preservice teachers on the future learning space with regard to school design and peer-to-peer feedback. For this purpose, these preservice teachers' design proposals about future school were collected and analyzed. In conclusion, special education preservice teachers perceive the future learning space as an inclusive environment in which smart technology is incorporated. Future learning environment were categorized in terms of flexible, ubiquitous technology, physical and mental health, safety, and spaces with facilities for students with physical disabilities.

Comparing Learning Outcome of e-Learning with Face-to-Face Lecture of a Food Processing Technology Course in Korean Agricultural High School

  • PARK, Sung Youl;LEE, Hyeon-ah
    • Educational Technology International
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    • v.8 no.2
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    • pp.53-71
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    • 2007
  • This study identified the effectiveness of e-learning by comparing learning outcome in conventional face-to-face lecture with the selected e-learning methods. Two e-learning contents (animation based and video based) were developed based on the rapid prototyping model and loaded onto the learning management system (LMS), which is http://www.enaged.co.kr. Fifty-four Korean agricultural high school students were randomly assigned into three groups (face-to-face lecture, animation based e-learning, and video based e-learning group). The students of the e-learning group logged on the LMS in school computer lab and completed each e-learning. All students were required to take a pretest and posttest before and after learning under the direction of the subject teacher. A one-way analysis of covariance was administered to verify whether there was any difference between face-to-face lecture and e-learning in terms of students' learning outcomes after controlling the covariate variable, pretest score. According to the results, no differences between animation based and video based e-learning as well as between face-to-face learning and e-learning were identified. Findings suggest that the use of well designed e-learning could be worthy even in agricultural education, which stresses hands-on experience and lab activities if e-learning was used appropriately in combination with conventional learning. Further research is also suggested, focusing on a preference of e-learning content type and its relationship with learning outcome.

A Study on Artificial Intelligence-based Automated Integrated Security Control System Model (인공지능 기반의 자동화된 통합보안관제시스템 모델 연구)

  • Wonsik Nam;Han-Jin Cho
    • Smart Media Journal
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    • v.13 no.3
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    • pp.45-52
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    • 2024
  • In today's growing threat environment, rapid and effective detection and response to security events is essential. To solve these problems, many companies and organizations respond to security threats by introducing security control systems. However, existing security control systems are experiencing difficulties due to the complexity and diverse characteristics of security events. In this study, we propose an automated integrated security control system model based on artificial intelligence. It is based on deep learning, an artificial intelligence technology, and provides effective detection and processing functions for various security events. To this end, the model applies various artificial intelligence algorithms and machine learning methods to overcome the limitations of existing security control systems. The proposed model reduces the operator's workload, ensures efficient operation, and supports rapid response to security threats.

Development of Teaching and Learning Manual for Competency-Based Practice for Meridian & Acupuncture Points Class (역량중심 경혈학실습 교육을 위한 교수학습매뉴얼 개발 및 활용방안)

  • Eunbyul, Cho;Jiseong, Hong;Yeonkyeong, Nam;Haegue, Shin;Jae-Hyo, Kim
    • Korean Journal of Acupuncture
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    • v.39 no.4
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    • pp.184-190
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    • 2022
  • Objectives : In our previous study, we developed the prototype of a lesson plan for meridian and acupuncture clinical skills education by applying the rapid prototyping to instructional systems design. The present study aimed to develop a teaching-learning manual, including the lesson plans, practice notes, and instructions for devices. We also aimed to present a guideline on how to use the manual in class. Methods : The manual and materials for teachers and learners were developed based on the solutions and the prototype derived from our previous study. Practical classes on meridian and acupuncture points consist of four major subjects, and the lesson plan and practice note were designed according to each topic. Results : Flipped learning, George's five-step method, peer role-play, and peer-led objective structured clinical examination (OSCE) were applied as main methodologies in the meridian and acupuncture points practical class. The teaching-learning manual, including practice notes, detailed lesson plan, OSCE checklist, and instruction manual for devices, was developed to be utilized at each stage of the learning activity. Conclusions : The application of the teaching-learning manual is expected to provide effective clinical skills education, strengthen learners' communication skills, establish professional identity, assess learners' performance, and provide immediate feedback. The educational effect of the manual for the existing class should be identified, and its feasibility should be verified by implementing it on another group. This manual could be helpful in designing classes for other subjects of Korean medicine, especially for clinical skills education.

The Structural Relationship among Internal Locus of Control, Interaction, Satisfaction and Learning Persistence in Corporate e-Learning (기업 사이버교육 학습자들의 내적통제소재, 상호작용, 만족도, 학습지속의향 간의 구조적관계)

  • Joo, Young Ju;Shim, Woo Jin;Kim, Eun Kyung;Park, Su Yeong
    • Knowledge Management Research
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    • v.10 no.4
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    • pp.31-42
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    • 2009
  • With the rapid development of information technology, e-learning is growing in corporate. However, there are still problems in learning, such as low learning persistence rate. Learning outcomes are complex phenomenon influenced by a multitude of factors, it is need to considering the direct and indirect causal relationship among various factors. Therefore, the purpose of this study was to develop the causal model that explains the learning outcomes (satisfaction learning persistence) in corporate e-learning. This study was also intended to examine the causal relationship between the interaction and learning persistence through satisfaction mediators. For this, online survey was conducted with a sample of 270 learners who enrolled in cyber training course at A company. The major findings of this study are as follows: First, internality (internal locus of control, ${\beta}=.154$), interaction (${\beta}=.489$), satisfaction (${\beta}=.304$) have direct effect on learning persistence. Second, the interaction has direct effect on the satisfaction (${\beta}=.320$). Third, the satisfaction has direct effect on the learning persistence, and mediating the interaction and learning persistence. This result will contribute to build a learning strategy to improve learning outcomes.

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Acceleration the Convergence and Improving the Learning Accuracy of the Back-Propagation Method (Back-Propagation방법의 수렴속도 및 학습정확도의 개선)

  • 이윤섭;우광방
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.39 no.8
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    • pp.856-867
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    • 1990
  • In this paper, the convergence and the learning accuracy of the back-propagation (BP) method in neural network are investigated by 1) analyzing the reason for decelerating the convergence of BP method and examining the rapid deceleration of the convergence when the learning is executed on the part of sigmoid activation function with the very small first derivative and 2) proposing the modified logistic activation function by defining, the convergence factor based on the analysis. Learning on the output patterns of binary as well as analog forms are tested by the proposed method. In binary output patter, the test results show that the convergence is accelerated and the learning accuracy is improved, and the weights and thresholds are converged so that the stability of neural network can be enhanced. In analog output patter, the results show that with extensive initial transient phenomena the learning error is decreased according to the convergence factor, subsequently the learning accuracy is enhanced.

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E-learning Contents Sharing and Improving Studying Efficiency of E-learners based on Poll Results (이러닝 컨텐츠 공유 및 설문조사 결과에 따른 학습효과 향상 방안)

  • Ji, Hyung-Seok;Lee, Goo-Yeon
    • Journal of Industrial Technology
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    • v.30 no.B
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    • pp.49-54
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    • 2010
  • E-learning has the potentials to provide educational publicity and equality, and has been deployed rapidly in many areas of our society. Growth of e-learning market is also rapid and sustained. However, for e-learning to be a good solution, enough contents should be provided, for which sharing limited contents in the early deployment stage should be necessary. In this paper, we survey some activities about contents sharing. On the other hand, there have been many complaint from e-learning about its effectiveness. Therefore, in this paper, based on the poll results on concentration and satisfaction of e-learning, we also study practical ways to improve studying efficiency of e-learners.

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