• Title/Summary/Keyword: Recognition of Learner

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The Guessing Model Revisited: A Case Study of a Korean Young Learner

  • Yim, Su Yon
    • English Language & Literature Teaching
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    • v.17 no.3
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    • pp.273-290
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    • 2011
  • This paper presents a case study involving one Korean primary school student and people around him in order to explore the reading process in English of a young Korean EFL learner and to investigate the social context in which his reading takes place. Six participants were included in the study (one primary school student and five adult participants). The student participant was asked to read a text in English and translate what he read into Korean and the teacher participants were asked to listen to the student's reading. Semi-structured interview was used to collect data from the student as well as five adult participants (his private tutor, his parent, his state school teacher, and two other state school teachers). The analysis reveals four characteristics of the way a young EFL learner approaches reading: word-by-word reading, disconnected word recognition, selective use of cues, and lack of awareness of difficulties. The four characteristics of Kilsu's reading suggest that reading can become a wild guessing game for young foreign learners, if they give selective attention to unimportant cues while reading. The pedagogical implications of this study are also discussed to help teachers designing reading lessons for young learners.

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A Computational Model of Language Learning Driven by Training Inputs

  • Lee, Eun-Seok;Lee, Ji-Hoon;Zhang, Byoung-Tak
    • Proceedings of the Korean Society for Cognitive Science Conference
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    • 2010.05a
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    • pp.60-65
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    • 2010
  • Language learning involves linguistic environments around the learner. So the variation in training input to which the learner is exposed has been linked to their language learning. We explore how linguistic experiences can cause differences in learning linguistic structural features, as investigate in a probabilistic graphical model. We manipulate the amounts of training input, composed of natural linguistic data from animation videos for children, from holistic (one-word expression) to compositional (two- to six-word one) gradually. The recognition and generation of sentences are a "probabilistic" constraint satisfaction process which is based on massively parallel DNA chemistry. Random sentence generation tasks succeed when networks begin with limited sentential lengths and vocabulary sizes and gradually expand with larger ones, like children's cognitive development in learning. This model supports the suggestion that variations in early linguistic environments with developmental steps may be useful for facilitating language acquisition.

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Design of Music Learning Assistant Based on Audio Music and Music Score Recognition

  • Mulyadi, Ahmad Wisnu;Machbub, Carmadi;Prihatmanto, Ary S.;Sin, Bong-Kee
    • Journal of Korea Multimedia Society
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    • v.19 no.5
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    • pp.826-836
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    • 2016
  • Mastering a musical instrument for an unskilled beginning learner is not an easy task. It requires playing every note correctly and maintaining the tempo accurately. Any music comes in two forms, a music score and it rendition into an audio music. The proposed method of assisting beginning music players in both aspects employs two popular pattern recognition methods for audio-visual analysis; they are support vector machine (SVM) for music score recognition and hidden Markov model (HMM) for audio music performance tracking. With proper synchronization of the two results, the proposed music learning assistant system can give useful feedback to self-training beginners.

A study on implementation of adult learner-targed college based on case study of foreign universities: Focused on cases of US and UK (해외 사례분석을 통한 성인전담 단과대학 운영방안: 미국과 영국 대학을 중심으로)

  • CHO, DAEYEON;Kim, Jeong-Ju
    • (The)Korea Educational Review
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    • v.23 no.1
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    • pp.379-404
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    • 2017
  • The purpose of this study is to seek practical implementation of adult learner-targeted college. For this, it first of all pointed out expanding opportunities of adult learners to learn and limitation of current lifelong education system at higher education level as well as lifelong learning centered university project. Then it selected and examined 3 university cases abroad, such as Harvard university, the university of Chicago in US and Warwick university in UK in terms of their curriculum and operating method for adult learners. In addition to the literature and case studies, this study did interviews on 5 professors with major of lifelong education and 5 managerial experts of university to suggest practical operating approach of adult learner-targeted college, which is as following. University's philosophy should be geared to meet public responsibility, specialization and persistency of the system and proper measurement be followed such as various range of admission track, prior education courses, recognition of prior learning experience, major, teaching method, curriculum and extra adult learner tailored service including financial support. Based on the study result, practical implications were suggested.

Effect of the Cold-Warm Color Contrast of the Learning-Item on the Learner's Performance (학습항목의 한난 색채대비가 학습자의 학습수행에 미치는 영향)

  • Kim, Boseong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.3
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    • pp.1442-1447
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    • 2014
  • This study examined the effect of the cold-warm color contrast of the learning-item on the learner's performance. To do this, experimental conditions were divided into three conditions: control condition, cold-warm contrast condition of background and figure, and cold-warm contrast condition of distracter and target. In addition, the OSPAN (operation span) task was used as the learning task. As a result, the rate of word recognition was higher in cold-warm contrast condition of distractor and target than any other condition. These results could be interpreted as enhancing effect.

The Effect of Learning Strategy, Learning Attitude, Achievement Motivation on Satisfaction of Online Extracurricular Participants (온라인 비교과 프로그램 참여자의 학습전략, 학습태도, 성취동기가 만족도에 미치는 영향)

  • Park Hyejin;Kwon Youngae
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.19 no.1
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    • pp.13-21
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    • 2023
  • This study was conducted with students who participated in an online extracurricular after COVID-19 in order to analyze the effects of college students' learning strategy, learning attitude, and achievement motivation on satisfaction. After participating in the online extracurricular, an online survey was conducted, and responses from 163 students were collected. Based on the collected data, the study results were analyzed. The results of the study are as follows. First, learning strategy was found to have a positive effect on satisfaction. These results can be inferred that positive recognition worked in the process of actually applying the learning strategies acquired through the extracurricular to their own learning. Second, learning attitude had a positive effect on satisfaction. The learner's learning attitude to develop necessary skills through experience and the sense of achievement experienced in the process of participating in the online extracurricular had a positive effect on satisfaction. Third, achievement motivation was found to have a positive effect on satisfaction. It can be inferred that the learner's active behavior by participating in the program acts as a motivation for achievement and affects satisfaction. Finally, through this study, a plan for effectively operating extracurricular in an online environment was presented.

A Survey Study on the Learner's Recognition about the Descending Life Lines for the Fire Emergency Escaping Purpose (소방용 완강기에 대한 학습자의 인식 조사 연구)

  • Lee, Wonjoo;Lee, Chang-Seop
    • Fire Science and Engineering
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    • v.32 no.2
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    • pp.73-81
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    • 2018
  • The purpose of this study is to survey the learner's recognition about the descending life lines for the fire emergency escaping purpose (DLL-FEEP). For that, we surveyed 307 adult males and females in Chungcheongnam-do, Daejeon metropolitan city, and Sejong metropolitan autonomous city. The surveyed data was statistically analyzed by SPSS 20.0 win program. In the results, 72.64% research participates have received a fire safety education. However, among them, 39.46% research participates have received a fire safety education without the contents of the DLL-FEEP. The style of the education for the DLL-FEEP is mainly the instructor-led training which is 79.26%. The 81.43% research participates have never used a DLL-FEEP. Based on the results in this study, the political proposal based on these results was as follows. We think that the expansion of the educational contents for the DLL-FEEP need in the fire safety education. We believe that results of this paper will help to serve as a basis for the efficient fire safety education with adults.

Analysis of the Effectiveness of the University Convergence Curriculum using the CIPP model (CIPP 모형을 활용한 대학 융복합 교육과정의 효과성 분석)

  • Kang, Kyunghee
    • Journal of the Korea Convergence Society
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    • v.11 no.9
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    • pp.135-142
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    • 2020
  • The purpose of this study is to analyze the effectiveness of university convergence curriculum using CIPP model. With 758 data surveys of professors and students participating in K University's convergence education, the analysis of differences according to group characteristics and the factors affecting performance recognition and course satisfaction were analyzed. As a result of analysis, first, class activity(CA) was the highest (M=3.85), and coursework design(CD) was the lowest (M=3.35), and there were significant differences in the course objectives, course content, and class activities according to the characteristics of the group. Second, the factors affecting the performance recognition and course satisfaction of the convergence curriculum were needs analysis, coursework design, learner activity, performance recognition, and course satisfaction. In conclusion, it suggests that from the planning stage, it should be designed to reflect the needs of professors and students, and to improve satisfaction and performance recognition with novel contents and active teaching and learning activities. This study can be used as basic data for improving the quality of the convergence curriculum.

Development and Application of Software Education Program Based on Blended Learning for Improving Computational Thinking of Pre-Service Elementary Teachers (초등예비교사의 컴퓨팅 사고력 향상을 위한 블렌디드 러닝 기반의 소프트웨어교육 프로그램 개발 및 적용)

  • Song, Ui-Sung;Gil, Joon-Min
    • KIPS Transactions on Software and Data Engineering
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    • v.6 no.7
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    • pp.353-360
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    • 2017
  • In this study, a software education program based on blended learning using scratch was designed for pre-service elementary teachers' software education. Software education program was applied to experimental group and control group within the university of education using Scratch programming for 12 weeks. Blended learning using online lectures was applied to experimental group. The pre-service teachers' recognition about software education and self-evaluation of computational thinking were performed. Then, we analyzed the effect of the developed education program on the recognition of software education and computational thinking. As a result, the level of post-recognition of software education in the experimental group was significantly higher than that of the pre-recognition. In the self-evaluation of computational thinking, the experimental group was significantly higher than the control group. Therefore, it can be seen that the software education program based on blended learning can help improve the learner's computational thinking.

Solving Multi-class Problem using Support Vector Machines (Support Vector Machines을 이용한 다중 클래스 문제 해결)

  • Ko, Jae-Pil
    • Journal of KIISE:Software and Applications
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    • v.32 no.12
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    • pp.1260-1270
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    • 2005
  • Support Vector Machines (SVM) is well known for a representative learner as one of the kernel methods. SVM which is based on the statistical learning theory shows good generalization performance and has been applied to various pattern recognition problems. However, SVM is basically to deal with a two-class classification problem, so we cannot solve directly a multi-class problem with a binary SVM. One-Per-Class (OPC) and All-Pairs have been applied to solve the face recognition problem, which is one of the multi-class problems, with SVM. The two methods above are ones of the output coding methods, a general approach for solving multi-class problem with multiple binary classifiers, which decomposes a complex multi-class problem into a set of binary problems and then reconstructs the outputs of binary classifiers for each binary problem. In this paper, we introduce the output coding methods as an approach for extending binary SVM to multi-class SVM and propose new output coding schemes based on the Error-Correcting Output Codes (ECOC) which is a dominant theoretical foundation of the output coding methods. From the experiment on the face recognition, we give empirical results on the properties of output coding methods including our proposed ones.