• Title/Summary/Keyword: self-learning

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L2 Learning Motivation in Technology Enhanced Instruction: A Survey from Three Perspectives

  • Han, Kyung-Sun
    • English Language & Literature Teaching
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    • v.11 no.1
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    • pp.17-36
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    • 2005
  • The purpose of this study is to examine the ways in which CALL apply to enhance the motivational aspects of second language learning. Theories relevant to social, cognitive, and affective foundations of motivation are first reviewed to demonstrate the important role of motivational influences in improving learners' affect and achievements. Then, implications arising from such theories in strengthening the motivational aspects of CALL are explicated in the second part. With the spread of computer technology in language classrooms, the innovative role of CALL in the development and maintenance of intrinsic motivation can be illustrated. Specifically, CALL may provide cognitively supportive instruction geared towards improving students' performance. Also, it has been reported from the affective perspective that CALL can captivate learners' attention, promote their feelings and expectations of success, improve perceptions of control, and increase positive attributions to effort and ability. Finally, from a social learning perspective, CALL may enhance learners' self-efficacy and foster their achievement and positive affect through social interactions, proximal goal-setting, and attributional feedback. In the framework of CALL, students seem to be benefited by the immediacy and authenticity of contact with target languages and cultures made at their choices and decisions.

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A Theoretical Exploration of Pedagogical Meaning of Flipped Learning from the Perspective of Dialogism (플립러닝의 교육적 의미에 대한 이론적 탐색: 대화주의 관점에서)

  • Park, Yangjoo
    • Journal of the Korea Convergence Society
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    • v.8 no.1
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    • pp.173-179
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    • 2017
  • The purpose of this study is to theoretically explore the pedagogical meaning of Flipped Learning (FL) through the lens of Bakhtinnian Dialogism. Flipped learning has emerged based on technological development, which enables educators to reorganize educational space and time. In the new converged time and space, teachers changed the activities in and out of classes, flipped lectures with students' activity, and redefined the role of teachers and students. These dialogical characteristics of FL results in several educational consequences: first, underscoring educational dialogue, second, extending the participation in the dialogical chain, third, deconstructing the existing authority of knowledge, and escalating the self-directedness of learners.

A Web-based adaptive hypermedia system for novices to learn programming (초보자들의 프로그래밍 학습을 위한 웹 기반 적응형 하이퍼미디어 시스템)

  • Jung, Hyosook;Park, Seongbin
    • The Journal of Korean Association of Computer Education
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    • v.7 no.6
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    • pp.37-45
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    • 2004
  • With the rapid growth of the Web technologies, the Web has changed teaching and learning as well as our life in various ways. Web-based instruction (WBI) supports self-directed and creative learning at anytime anywhere. However, learners may experience the problems of disorientation and cognitive overload when the hyperspace that consists of learning materials is complex. In this paper, we present a Web-based adaptive hypermedia system based on cognitive load theory which can reduce cognitive loads that novices may experience when they learn programming

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Effects of an Action Learning based Creative Problem-Solving Course for Nursing Students (액션러닝 교수설계에 의한 창의적 문제해결 교과의 학습성과)

  • Jang, Keum Seong;Kim, Nam Young;Park, Hyunyoung
    • Journal of Korean Academy of Nursing Administration
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    • v.20 no.5
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    • pp.587-598
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    • 2014
  • Purpose:This study was conducted to identify the effects of an action learning based creative problem-solving (CPS) course on problem solving, creativity and team-member exchange in nursing students. Methods: A quasi-experimental study applying a non-equivalent control group pre-post design was employed. Sophomore nursing students (32 in the experimental group and 33 in the control group) were recruited from a university in G-city, Korea. Problem solving, creativity and team-member exchange were measured for the pretest and posttest using self-report questionnaires. Kolmogorov-Smirnov test, Chi-square, Fisher's exact test, t-test, and ANCOVA with SPSS/Win 20.0 program were used to analyze the data. Results: The scores for problem solving, creativity and team-member exchange in the experimental group were significantly higher than those of the control group. Conclusion: Results of this study indicate that an action learning based CPS course is an effective teaching method to improve nursing students' competencies. In the future longitudinal studies are needed to assess the long term effects of the course.

The Learning Effects of Instructional Media on Anatomy Classes in a Nursing College (해부학수업에서 교수매체 적용에 따른 학습효과)

  • Sim, Jeoung-Ha
    • Journal of Korean Biological Nursing Science
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    • v.11 no.1
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    • pp.51-58
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    • 2009
  • Purpose: It is to verify learning effect of the instructional media on anatomy classes at a nursing college and to develop an alternative instructional media instead of cadaver. Method: Four groups pretest-posttest experimental design were used. One hundred twenty students who attended an Anatomy lecture in September, 2009 were selected After attending the anatomy lecture, the subjects were divided into four group (30 for each group) conveniently. The heart anatomy knowledge level were measured by a self evaluation questionnaire and quiz before and after a different instructional media being applied for each group including making heart shape using colored clay, taking picture of a real heart, sketching the heart model with color pencil and drawing heart presented in the anatomy textbook. Data was analyzed by t-test, ANNOVA test using the SPSS/PC WIN 12 version. Result: A statistically significant differences in the level of heart anatomy knowledge acquirement was noted after four different instructional media being applied, and four different instructional media was effective to the anatomy practice education. However, no difference in statistical post test results was noted among the four groups. Conclusion: It is recommended that further comparative studies on the learning effect between human cadaver practice and different instructional media is necessary.

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A Study on the use factor of the Cyber Home Learning Service (학습자의 사이버 가정학습 사용 요인에 관한 분석 연구)

  • Heo, Gyun
    • Journal of Internet Computing and Services
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    • v.9 no.3
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    • pp.159-167
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    • 2008
  • The purpose of this study is finding factors affecting the students' use of the Cyber Home Learning Service System and exploring the direction of this system. It is based on the TAM(Technology Acceptance Model) and the result of the previous studies, six external and three internal factors influencing the sue of Cyber Home Learning Service System were extracted. The participants were 201 elementary school students in Pusan. The response of the questionnaire was gathered by online survey system. To analyze the data and the hypothesis, multiple regression and factor analysis were explored. The result indicated that (a) "usefulness" and "future-intention" affected statically to the use, (b) "usefulness" to the future-intention, (c) "subjective judgement", "fun", and "ease of use" to the usefulness, (d) "self-efficiency" and "contents quality" to the ease of use.

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Development Connecting Program to help to study in School and in Home for Increase of Mathematically Promising (수학적 유망성 신장을 위한 학교와 가정을 연계한 프로그램 개발)

  • Nam, Seung-In
    • Communications of Mathematical Education
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    • v.21 no.1 s.29
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    • pp.1-17
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    • 2007
  • There are many students around us, who are mathematically promising but have not taken some instructions with a program for the gifted. Providing a certain opportunity for them to take a differentiate program from one given normal students in a regular classroom has some limitations. If ever, offering a learning program developed with the connection of regular curriculum can lead them to reveal their potential. I think it is desirable that the effect of the program is more increasing when study in school keeps a reciprocal relationship to study in home for increasing the students' promising. In this paper, it is discussed to develop and implement the teaching learning program for the integration and connection of school and home for the Mathemaically Promising Students.

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Distant Education for Improving of Learning′ Participation (상호작용과 수준별 학습을 지원하기 위한 원격교육 시스템)

  • 조혜숙;김숙연;장시웅
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2003.05a
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    • pp.477-480
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    • 2003
  • The development of distant education on the internet has undergone a great change. However, many of the educational ways force to students to acquire the technical skills by repeatedly practising the contents. These learning styles have certain advantages, for example, providing feedback without delay and constant learning, but they also have disadvantages. For instance, they reduce the motivation and interest level of the students. And if the students don't participate in class, they simply will not improve in their ability. This study provides a solution which will has an influence on the other classes. We can utilize self-learning, interactive and leveled studying with animation and teaching aids.

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Deep learning-based sensor fault detection using S-Long Short Term Memory Networks

  • Li, Lili;Liu, Gang;Zhang, Liangliang;Li, Qing
    • Structural Monitoring and Maintenance
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    • v.5 no.1
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    • pp.51-65
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    • 2018
  • A number of sensing techniques have been implemented for detecting defects in civil infrastructures instead of onsite human inspections in structural health monitoring. However, the issue of faults in sensors has not received much attention. This issue may lead to incorrect interpretation of data and false alarms. To overcome these challenges, this article presents a deep learning-based method with a new architecture of Stateful Long Short Term Memory Neural Networks (S-LSTM NN) for detecting sensor fault without going into details of the fault features. As LSTMs are capable of learning data features automatically, and the proposed method works without an accurate mathematical model. The detection of four types of sensor faults are studied in this paper. Non-stationary acceleration responses of a three-span continuous bridge when under operational conditions are studied. A deep network model is applied to the measured bridge data with estimation to detect the sensor fault. Another set of sensor output data is used to supervise the network parameters and backpropagation algorithm to fine tune the parameters to establish a deep self-coding network model. The response residuals between the true value and the predicted value of the deep S-LSTM network was statistically analyzed to determine the fault threshold of sensor. Experimental study with a cable-stayed bridge further indicated that the proposed method is robust in the detection of the sensor fault.

Topology, shape, and size optimization of truss structures using modified teaching-learning based optimization

  • Tejani, Ghanshyam G.;Savsani, Vimal J.;Patel, Vivek K.;Bureerat, Sujin
    • Advances in Computational Design
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    • v.2 no.4
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    • pp.313-331
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    • 2017
  • In this study, teaching-learning based optimization (TLBO) is improved by incorporating model of multiple teachers, adaptive teaching factor, self-motivated learning, and learning through tutorial. Modified TLBO (MTLBO) is applied for simultaneous topology, shape, and size optimization of space and planar trusses to study its effectiveness. All the benchmark problems are subjected to stress, displacement, and kinematic stability constraints while design variables are discrete and continuous. Analyses of unacceptable and singular topologies are prohibited by seeing element connectivity through Grubler's criterion and the positive definiteness. Performance of MTLBO is compared to TLBO and state-of-the-art algorithms available in literature, such as a genetic algorithm (GA), improved GA, force method and GA, ant colony optimization, adaptive multi-population differential evolution, a firefly algorithm, group search optimization (GSO), improved GSO, and intelligent garbage can decision-making model evolution algorithm. It is observed that MTLBO has performed better or found nearly the same optimum solutions.