• Title/Summary/Keyword: Learning Feedback

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A Study on the Development of Feedback-Based Instructional Materials for Process-Focused Assessment Classes in High School Mathematics Classes (고등학교 수학 수업에서 과정 중심 평가 수업을 위한 피드백 중심 수업 자료 개발에 관한 연구)

  • Lee, Dong Gun;Han, Chang Hun
    • Communications of Mathematical Education
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    • v.36 no.1
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    • pp.107-138
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    • 2022
  • This study is a study that developed class materials that can apply Process-Focused Assessment to classes by paying attention to feedback using teacher learning community programs centered on teachers belonging to the same school in the field. In particular, this study was conducted with the aim of developing class materials applicable to actual classes. At this time, We thought about how to provide appropriate feedback when applying course-based evaluation in school field classes. It was conducted according to the procedure of data development research by Lee & Ahn(2021). As for the procedure of data development itself, an evaluation plan was established by establishing a strategy to reconstruct achievement standards and confirm understanding based on curriculum analysis. Next, an evaluation task, a scoring standard table, and a preliminary feedback preparation table were developed. In addition, based on these development materials, a learning guidance plan that can predict scenes when applying actual classes was developed as a result. This study has value as a practical study that can contribute to providing a link between theory and field schools. It is also meaningful in that it considered how the teacher would grasp when to provide feedback in performing rocess-Focused Assessment. Likewise, in providing feedback by teachers, it is meaningful in that it reflects in the data development how to prepare in advance and take classes according to the characteristics of the subject. Finally, it seems that the possibility of field application can be improved in that the results of the 4th class developed in this study are presented in a form applicable to the class directly in the field.

A Study Design for Improvement of Interactivity at e-Learning (e-Learning에서 상호작용 촉진을 위한 학습 설계)

  • Lee Jun-Hee
    • The Journal of the Korea Contents Association
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    • v.5 no.4
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    • pp.197-203
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    • 2005
  • Interactivity is very important at ubiquitous e-Learning system oriented multi platform because online study is accomplished by multi media. In this thesis promotion for interactivity is designed at online study. By cyber education with supposed promotion used for a feedback. From now on a special research of study design should be made for interactivity and effectiveness using human sensibility ergonomics.

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Adaptive fuzzy learning control for a class of second order nonlinear dynamic systems

  • Park, B.H.;Lee, Jin S.
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10a
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    • pp.103-106
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    • 1996
  • This paper presents an iterative fuzzy learning control scheme which is applicable to a broad class of nonlinear systems. The control scheme achieves system stability and boundedness by using the linear feedback plus adaptive fuzzy controller and achieves precise tracking by using the iterative learning rules. The switching mode control unit is added to the adaptive fuzzy controller in order to compensate for the error that has been inevitably introduced from the fuzzy approximation of the nonlinear part. It also obviates any supervisory control action in the adaptive fuzzy controller which normally requires high gain signal. The learning control algorithm obviates any output derivative terms which are vulnerable to noise.

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ANALYSIS OF LEARNING CONTROL SYSTEMS WITH FEEDBACK(Application to One Link Manipulators)

  • Hashimoto, H.;Kang, Seong-Yun;Jianxin Xu;F. Harashima
    • 제어로봇시스템학회:학술대회논문집
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    • 1987.10a
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    • pp.886-891
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    • 1987
  • In this paper, we present a effective method to control robotic systems by an iterative learning algorithm. This method is based on the concepts of the learning control law which is introduced in this paper, that is, avoidance of using derivative of system state and ignorance of high frequency influence in system performance. By means of the betterment of performance due to the improvement of estimated unknown information, the learning control algorithm compels the system to gradually approach in desired trajectory, and eventually the tracking error asymptotically converges upon zero. In order to verify its utility, one degree of freedom of manipulator has been used in the experiments and the results illustrate this control scheme is very effective.

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A Neural Network for Concept Learning : Recognitron (개념 학습에 의한 신경 회로망 컴퓨터)

  • Lee, Ki-Han;Whang, Hee-Yoong;Kim, Choon-Suk
    • Proceedings of the KIEE Conference
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    • 1989.07a
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    • pp.495-499
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    • 1989
  • Concept is the set of selected neurons in a stable state of a neurel network. The Recognitron uses a parallel feedback structure to support concept learning. A number of clusters can exist in response to a given input, each of which make up a selective neuron. There are supervised and unsupervised learnig methods in concept teaming. In this paper, we have chosen unsupervised learning. Also, a new concept called relaxational learning has been introduced to stop runaway weights

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Neural Learning Algorithms for Independent Component Analysis

  • Choi, Seung-Jin
    • Journal of IKEEE
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    • v.2 no.1 s.2
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    • pp.24-33
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    • 1998
  • Independent Component analysis (ICA) is a new statistical method for extracting statistically independent components from their linear instantaneous mixtures which are generated by an unknown linear generative model. The recognition model is learned in unsupervised manner so that the recovered signals by the recognition model become the possibly scaled estimates of original source signals. This paper addresses the neural learning approach to ICA. As recognition models a linear feedforward network and a linear feedback network are considered. Associated learning algorithms for both networks are derived from maximum likelihood and information-theoretic approaches, using natural Riemannian gradient [1]. Theoretical results are confirmed by extensive computer simulations.

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An Exploration on Elements of e-Teaching Portfolio for Enhancing Teaching Expertise in Higher Education (대학 교수자의 수업전문성 향상을 목적으로 하는 e-티칭 포트폴리오의 구성요소 탐색)

  • Lee, Eun-Hwa
    • Journal of Fisheries and Marine Sciences Education
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    • v.20 no.2
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    • pp.236-248
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    • 2008
  • This study has explored the elements of e-teaching portfolio for enhancing teaching expertise in higher education. This study is carried out through the literature review and expert's focus group interview. As the result of this study, seven elements of e-teaching portfolio for enhancing teaching expertise in higher education have been found. First, 'personal background' include curriculum vitae, course responsibility, and other educational activities. Second, 'teaching philosophy' include the principals on teaching and learning, statements of teaching philosophy. Third, 'learning environment' include the characteristics of students, the previous learning contents, and physical environment. Forth, 'course contents and methods' include teaching strategies and instructional materials, Fifth, 'instructional evaluation' includes the principals of evaluation and the examples of learning outcomes. Sixth, 'endeavor for improvement of instruction' include evidence of activity for teaching improvement and instruction feedback from peer and students. And e-teaching portfolio also includes research career and awards history element.

Indirect Decentralized Repetitive Control for the Multiple Dynamic Subsystems

  • Lee, Soo-Cheol
    • Journal of Korean Institute of Industrial Engineers
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    • v.23 no.1
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    • pp.1-22
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    • 1997
  • Learning control refers to controllers that learn to improve their performance at executing a given task, based on experience performing this specific task. In a previous work, the authors presented a theory of indirect decentralized learning control based on use of indirect adaptive control concepts employing simultaneous identification and control. This paper extends these results to apply to the indirect repetitive control problem in which a periodic (i.e., repetitive) command is given to a control system. Decentralized indirect repetitive control algorithms are presented that have guaranteed convergence to zero tracking error under very general conditions. The original motivation of the repetitive control and learning control fields was learning in robots doing repetitive tasks such as on an assembly line. This paper starts with decentralized discrete time systems, and progresses to the robot application, modeling the robot as a time varying linear system in the neighborhood of the desired trajectory. Decentralized repetitive control is natural for this application because the feedback control for link rotations is normally implemented in a decentralized manner, treating each link as if it is independent of the other links.

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The Development of PLC Programming Education System Based on Distance Learning (원격기반 PLC 프로그래밍 교육시스템의 개발)

  • Lee, Sung-Youl;Jeon, Dong-Pyo
    • Journal of Korea Society of Industrial Information Systems
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    • v.11 no.5
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    • pp.78-85
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    • 2006
  • Thanks to the spacial and timely flexibility of laboratory's environment, the distance learning based real time PLC education system has been brought into relief as a next generation laboratory alternative. The developed system was installed using a relatively cheap PLC and PC camera. Providing image feedback through the PC camera, the system provides the student's interests of the lab as well as an opportunity to monitor the lab's activities and results.

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Cyber Learners' Use and Perceptions of Online Machine Translation Tools

  • Moon, Dosik
    • International journal of advanced smart convergence
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    • v.10 no.4
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    • pp.165-171
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    • 2021
  • The current study investigated cyber learners' use and perceptions of online machine translation (MT) tools. The results show that learners use several MT tools frequently and extensively for various second language learning (L2) purposes according to their needs. The learners' overall perceptions of using MT for English learning were generally positive. The learners reported several advantages of machine translation: ease of use, helpful feedback, effective revision, and facilitation of self-directed learning. At the same time, a considerable number of learners were aware of MT's drawbacks, such as awkward sentences, inaccurate grammar, and inappropriate words, and thus held a negative or skeptical view on the quality and accuracy of MT. These findings have important pedagogical implications for using MT in the context of a cyber university. For successful integration of MT in English classes, teachers need to provide appropriate guidelines and training that will help learners use MT effectively.