• Title/Summary/Keyword: Assisted-Learning

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Comparative Study on the Educational Use of Home Robots for Children

  • Han, Jeong-Hye;Jo, Mi-Heon;Jones, Vicki;Jo, Jun-H.
    • Journal of Information Processing Systems
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    • v.4 no.4
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    • pp.159-168
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    • 2008
  • Human-Robot Interaction (HRI), based on already well-researched Human-Computer Interaction (HCI), has been under vigorous scrutiny since recent developments in robot technology. Robots may be more successful in establishing common ground in project-based education or foreign language learning for children than in traditional media. Backed by its strong IT environment and advances in robot technology, Korea has developed the world's first available e-Learning home robot. This has demonstrated the potential for robots to be used as a new educational media - robot-learning, referred to as 'r-Learning'. Robot technology is expected to become more interactive and user-friendly than computers. Also, robots can exhibit various forms of communication such as gestures, motions and facial expressions. This study compared the effects of non-computer based (NCB) media (using a book with audiotape) and Web-Based Instruction (WBI), with the effects of Home Robot-Assisted Learning (HRL) for children. The robot gestured and spoke in English, and children could touch its monitor if it did not recognize their voice command. Compared to other learning programs, the HRL was superior in promoting and improving children's concentration, interest, and academic achievement. In addition, the children felt that a home robot was friendlier than other types of instructional media. The HRL group had longer concentration spans than the other groups, and the p-value demonstrated a significant difference in concentration among the groups. In regard to the children's interest in learning, the HRL group showed the highest level of interest, the NCB group and the WBI group came next in order. Also, academic achievement was the highest in the HRL group, followed by the WBI group and the NCB group respectively. However, a significant difference was also found in the children's academic achievement among the groups. These results suggest that home robots are more effective as regards children's learning concentration, learning interest and academic achievement than other types of instructional media (such as: books with audiotape and WBI) for English as a foreign language.

Effects of an animal-assisted therapy program on social-emotional development and learning-related social skills in children with developmental disabilities (동물매개치료 프로그램이 발달장애아동의 사회정서발달 및 학습관련 사회적 기술에 미치는 영향)

  • Lee Yun Ju;Kim Ok Jin
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.1
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    • pp.11-18
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    • 2024
  • The purpose of this study was to investigate the effects of an animal-mediated therapy program on children with developmental disabilities on social skills related to social-emotional development and learning, which are important in modern society. The subjects of the study were children with developmental disabilities at a special school, and the animal-mediated therapy program consisted of 12 sessions. The study was divided into experimental and control groups and conducted pre- and post-test by measurement items. SPSS 25.0 was used to analyze the data. First, children with developmental disabilities in the experimental group who participated in the animal-mediated therapy program showed a significant difference (z=-2.20, p<.05) in the overall social-emotional development compared to the control group, and statistically significant values were found in the subfactors of non-dependence on teachers, interaction with peers, and achievement motivation. Second, the experimental group who received animal-mediated therapy showed a significant effect (z=-2.20, p<.05) in all factors of learning-related social skills. In conclusion, animal-mediated therapy was found to have a positive effect on the social-emotional development and learning-related social skills of children with developmental disabilities. Based on the results of this study, it is recommended that more specific and systematic programs should be developed and applied to enhance the social-emotional development and learning-related social skills of children with developmental disabilities for a healthy life.

The Effect of Computer-Assisted Instruction Using Molecular-Level Animation in Middle School Science Class (중학교 과학수업에서 입자수준의 애니메이션을 이용한 컴퓨터 보조수업의 효과)

  • Noh, Tae-Hee;Cha, Jeong-Ho;Kim, Chang-Min;Choi, Yong-Nam
    • Journal of The Korean Association For Science Education
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    • v.18 no.2
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    • pp.161-171
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    • 1998
  • The effects of computer-assisted instruction (CAl) using molecular-level animation upon students' conceptions, attitudes toward science instruction, and learning motivation were investigated. Treatment and control groups (2 classes) were selected from a girls middle school in Seoul, and taught about the motion of molecule for 5 class hours. Before instruction, the short-version Group Assessment of Logical Thinking (GALT) and the Patterns of Adaptive Survey were administered, and the grade for the previous science course was obtained. The GALT score was used as a blocking variable, and the others as covariates. After the instructions, the researcher-made conceptions test, the test of attitudes toward science instruction, and the motivation questionnaire were administered. The perception questionnaire of CAl was also administered to the treatment group. Although more students in the CAl group had sound understanding about the motion of molecule, the scores of the conceptions test for the two groups were not significantly different at .05 level of significance. The students in the CAl group, however, were found to have more positive attitudes toward science instruction and learning motivation. In the perception questionnaire of CAl, most students in the treatment group exhibited positive attitudes toward the CAl. However, some students mentioned that they were disturbed by noisy environments, and that they could not understand some content presented. Educational implications are discussed.

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A Study on the Effect of Cooperative Learning Blended with the TAI and STAD Models on the Students' Ability of Problem Solving in Mathematics (TAI 모델과 STAD 모델을 혼합한 협동학습이 수학과의 문제 해결 능력에 미치는 효과)

  • Kim, Hee-Jeong;Kim, Yung-Hwan
    • Journal of the Korean School Mathematics Society
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    • v.9 no.1
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    • pp.1-17
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    • 2006
  • This thesis analyzed the effects of cooperative learning blended with TAI(Team Assisted Individualization) and STAD(Student Team Achievement Division) models on the students' ability of problem solving in mathematics in order to discover what kind of effects would give to their ability of that, and would promote their disposition and attitude to learn mathematics. The results of this study were as follows : First, the learning method blended with TAI and STAD models was more effective in the students' ability of problem solving in mathematics than traditional learning method because of the blended model's characteristics; positive interdependence, individual accountability, team recognition, curriculum materials. Second, the learning method blended with TAI and STAD models was more effective in sub-elements - self-confidence, adaptability, will, curiosity and value - of mathematical disposition than traditional learning method. And the learning method blended with TAI and STAD models was more effective in sub-elements - self-consciousness of mathematics and interests - of mathematical attitude than traditional learning method. In conclusion, the learning method blended with TAI and STAD models could affect to not only the students' ability of problem solving in mathematics but also the students' several affective factors.

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A Review on Deep-learning-based Phase Unwrapping Technique for Synthetic Aperture Radar Interferometry (딥러닝 기반 레이더 간섭 위상 언래핑 기술 고찰)

  • Baek, Won-Kyung;Jung, Hyung-Sup
    • Korean Journal of Remote Sensing
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    • v.38 no.6_2
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    • pp.1589-1605
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    • 2022
  • Phase unwrapping is an essential procedure for interferometric synthetic aperture radar techniques. Accordingly, a lot of phase unwrapping methods have been developed. Deep-learning-based unwrapping methods have recently been proposed. In this paper, we reviewed state-of-the-art deep-learning-based unwrapping approaches in terms of 1) the approaches to predicting unwrapped phases, 2) deep learning model structures for phase unwrapping, and 3) training data generation. The research trend of the approaches to predicting unwrapped phases was introduced by categorizing wrap count segmentation, phase jump classification, phase regression, and deep-learning-assisted method. We introduced the case studies of deep learning model structure for phase unwrapping, and model structure optimization to relate the overall phase information. In addition, we summarized the research trend of the training data generation approaches in the views of phase gradient and noise in the main. And the future direction in deep-learning-based phase unwrapping was presented. It is expected that this paper is used as guideline for exploring future direction of deep-learning-based phase unwrapping research in Korea.

Effect of a Web-enhanced Clinical Practicum on Learning Outcome of Adult Nursing Practicum in Nursing Students

  • Hwang, Seon-Young;Kang, Hee-Young;Choi, Ja-Yun;So, Hyang-Sook
    • International Journal of Contents
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    • v.8 no.2
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    • pp.36-42
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    • 2012
  • This study was conducted to develop Web-based multimedia content that assists undergraduate students in a clinical practicum on adult nursing. The study examined whether students in the intervention group could obtain clinical knowledge and perform more effectively when encouraged to learn Web content as compared with students in the conventional group. Web-based multimedia content consisting of 13 learning modules was developed based on real patients' scenarios through collaboration among college professors. A total of 120 nursing students (74 for the intervention and 46 for the conventional groups) from two universities in G-city, who engaged in a 3-week long clinical practicum in the digestive and respiratory units of a university hospital, participated in the study. Students' knowledge, self-directed learning, and clinical performance ability were measured using self-administered questionnaires. Data for pre- and posttests were collected over a 2-month period, between May and June of 2009. Clinical knowledge and self-reported clinical performance scores were significantly higher in students using the Web-enhanced clinical practicum than in those in the conventional group. However, there was no significant difference in self-directed learning ability between the 2 groups. These results demonstrate that Web-based multimedia content can be an effective educational tool for enhancing students' clinical knowledge and performance.

Optimizing shallow foundation design: A machine learning approach for bearing capacity estimation over cavities

  • Kumar Shubham;Subhadeep Metya;Abdhesh Kumar Sinha
    • Geomechanics and Engineering
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    • v.37 no.6
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    • pp.629-641
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    • 2024
  • The presence of excavations or cavities beneath the foundations of a building can have a significant impact on their stability and cause extensive damage. Traditional methods for calculating the bearing capacity and subsidence of foundations over cavities can be complex and time-consuming, particularly when dealing with conditions that vary. In such situations, machine learning (ML) and deep learning (DL) techniques provide effective alternatives. This study concentrates on constructing a prediction model based on the performance of ML and DL algorithms that can be applied in real-world settings. The efficacy of eight algorithms, including Regression Analysis, k-Nearest Neighbor, Decision Tree, Random Forest, Multivariate Regression Spline, Artificial Neural Network, and Deep Neural Network, was evaluated. Using a Python-assisted automation technique integrated with the PLAXIS 2D platform, a dataset containing 272 cases with eight input parameters and one target variable was generated. In general, the DL model performed better than the ML models, and all models, except the regression models, attained outstanding results with an R2 greater than 0.90. These models can also be used as surrogate models in reliability analysis to evaluate failure risks and probabilities.

Workshop : IMEC and Computer Dialogue Teaching Approach in VHF Communication

  • Park, Jin-Su;Choe, Seung-Hui
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2015.10a
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    • pp.233-236
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    • 2015
  • 전 세계 해기교육기관에서 해사영어(Maritime English, ME)를 가르치고 있는 교원들이 모여 매년 개최하는 IMEC (International Maritime English Conference)을 소개하고, 2015년에 개최된 제27차 컨퍼런스의 프로그램을 우리 회원들에게 안내하고자 하며, IMEC 27에서 소개된 ChatBot를 가지고 참석한 회원들과 함께 진행하는 워크숍을 개최하고자 한다.

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The Goal of Mathematics School-Based Professional Development Program for Elementary School Teachers

  • CHENG, Lu Pien;KO, Ho Kyoung
    • Research in Mathematical Education
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    • v.19 no.3
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    • pp.155-174
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    • 2015
  • The goal of this study was to examine the three components of a laboratory class cycle that empowered teachers to change their teaching practices. Six teachers and their administrator in an elementary school in the southeastern United States participated in the study. All the teachers were interviewed, and their mathematics lessons were observed at the end of each cycle of laboratory classes. The study revealed how planning, observing, and critiquing mathematics lessons as a team assisted the teachers' learning and teaching. We identified opportunities for the teachers to experiment with different teaching approaches, and we found that support from the team and from the school were key factors for the laboratory class cycle to function effectively.

Construct OCR on mobile mechanic system for android wireless dynamics and structure stabilization

  • Shih, Bih-Yaw;Chen, Chen-Yuan;Su, Wei-Lun
    • Structural Engineering and Mechanics
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    • v.42 no.5
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    • pp.747-760
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    • 2012
  • In today's online social structure, people with electronic devices or network have been closely related to whether any of the activities, work, school, etc., is related to electronic devices, intelligent robot, and network control. The best mobility and the first rich media of these products as smart phones, smart phones rise rapidly in recent years, high speed processing performance and high free way to install software, deeply loved by many business people. However, not only for smart phone business aspects of the use, but also can engage in education of the teachers or the students are learning a great help. This study construct OCR-assisted learning software written by the JAVA made, and the installation is provided by the Android mobile phone users.