• Title/Summary/Keyword: Learning Feedback

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A Study on Perception and Demand for the Parent Education Program Activation (부모교육 프로그램 활성화를 위한 학부모 인식 및 요구)

  • Park, Hye-Jin;Kim, Yong-Young
    • Journal of the Korea Convergence Society
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    • v.10 no.5
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    • pp.173-180
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    • 2019
  • This study conducted an overall recognition analysis and demand survey of parent education programs in order to explore ways to promote parent education. Based on previous research, the questionnaire was developed including five factors and 23 items : (1) operating a center to support parent education, (2) perception on parent education programs, (3) developing a parent education program, (4) utilizing space, and (5) program operation and evaluation. A survey was administered on the parents of second and fourth graders at A elementary school in Chungju. The result showed that parents are positive about the operation of the center, which can provide professional support for parent education programs. There was also a great demand to strengthen the educational content of parents' roles. This study is meaningful in providing basic data for developing parent education programs based on the perception and demand analysis of existing parent education. Furthermore, the need for performance analysis and feedback was presented in future research directions after the actual development and operation of parent education programs that reflected the demand of parents.

Proposal of mobile application for rounded shoulder improvement in connection with EMG sensor (근전도 센서를 연동한 둥근 어깨 개선 모바일 어플리케이션 제안)

  • Park, So-Mi;Kay, Yoonshin;Im, Hee-Su;Park, Su-E
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.5
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    • pp.667-676
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    • 2021
  • Recently, adolescents in Korea are exposed to the risk of postural imbalance due to overuse of smartphones and lack of physical activity due to the amount of learning. In addition, the need for effective non-face-to-face exercise services is increasing due to Corona 19. With this in mind, this study proposes an exercise service using an EMG sensor to overcome the limitations of non-face-to-face services while providing the effect of improving round shoulders for adolescents. An exercise program that can improve round shoulders was constructed, and an application in conjunction with an EMG sensor was implemented to exercise effectively. The exercise program was configured to alternately exercise the target muscle area for 4 weeks, and the function to provide feedback was added by measuring the EMG values that change accordingly. Through this study, we intend to provide the basis for exercise-based posture correction digital service, and improve the unbalanced body through this, thereby promoting the possibility of health promotion.

Strawberry disease diagnosis service using EfficientNet (EfficientNet 활용한 딸기 병해 진단 서비스)

  • Lee, Chang Jun;Kim, Jin Seong;Park, Jun;Kim, Jun Yeong;Park, Sung Wook;Jung, Se Hoon;Sim, Chun Bo
    • Smart Media Journal
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    • v.11 no.5
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    • pp.26-37
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    • 2022
  • In this paper, images are automatically acquired to control the initial disease of strawberries among facility cultivation crops, and disease analysis is performed using the EfficientNet model to inform farmers of disease status, and disease diagnosis service is proposed by experts. It is possible to obtain an image of the strawberry growth stage and quickly receive expert feedback after transmitting the disease diagnosis analysis results to farmers applications using the learned EfficientNet model. As a data set, farmers who are actually operating facility cultivation were recruited and images were acquired using the system, and the problem of lack of data was solved by using the draft image taken with a cell phone. Experimental results show that the accuracy of EfficientNet B0 to B7 is similar, so we adopt B0 with the fastest inference speed. For performance improvement, Fine-tuning was performed using a pre-trained model with ImageNet, and rapid performance improvement was confirmed from 100 Epoch. The proposed service is expected to increase production by quickly detecting initial diseases.

Brain Correlates of Emotion for XR Auditory Content (XR 음향 콘텐츠 활용을 위한 감성-뇌연결성 분석 연구)

  • Park, Sangin;Kim, Jonghwa;Park, Soon Yong;Mun, Sungchul
    • Journal of Broadcast Engineering
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    • v.27 no.5
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    • pp.738-750
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    • 2022
  • In this study, we reviewed and discussed whether auditory stimuli with short length can evoke emotion-related neurological responses. The findings implicate that if personalized sound tracks are provided to XR users based on machine learning or probability network models, user experiences in XR environment can be enhanced. We also investigated that the arousal-relaxed factor evoked by short auditory sound can make distinct patterns in functional connectivity characterized from background EEG signals. We found that coherence in the right hemisphere increases in sound-evoked arousal state, and vice versa in relaxed state. Our findings can be practically utilized in developing XR sound bio-feedback system which can provide preference sound to users for highly immersive XR experiences.

Design and Implementation of a Data Visualization Assessment Module in Jupyter Notebook

  • HakNeung Go;Youngjun Lee
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.9
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    • pp.167-176
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    • 2023
  • In this paper, we designed and implemented a graph assessment module that can evaluate graphs in an programming assessment system based on text and numbers. The assessment method of the graph assessment module is self-evaluation that outputs two graphs generated by codes submitted by learners and by answers, automatic-evaluation that converts each graph image into an array, and gives feedback if it is wrong. The data used to generate the graph can be inputted directly or used from external data, and the method of generatng graph that can be evaluated is MATLAB style in matplotlib, and the graph shape that can be evaluated is presented in mathematics and curriculum. Through expert review, it was confirmed that the content elements of the assessment module, the possibility of learning, and the validity of the learner's needs were met. The graph assessment module developed in this study has expanded the evaluation area of the programming automatic asssessment system and is expected to help students learn data visualization.

An Analysis of the International Trends of Research on Artificial Intelligence in Education Using Topic Modeling (인공지능 활용 교육의 토픽모델링 분석을 통한 수학교육 연구 방향의 함의)

  • Noh, Jihwa;Ko, Ho Kyoung;Kim, Byeongsoo;Huh, Nan
    • Journal of the Korean School Mathematics Society
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    • v.26 no.1
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    • pp.1-19
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    • 2023
  • This study analyzed the international trends of research concerning artificial intelligence in education by examining 352 papers recently published in the International Journal of Artificial Intelligence in Education(IJAIED) with the topic modeling method. The IJAIED is the official, SCOPUS-indexed journal of the International AIED Society. The analysis revealed that international AIED research trends could be categorized into eight topics with topics such as analyzing student behavior model in learning systems and designing feedback to student solutions being increased over time, whereas research focusing on data handling methods was decreased over time. Based on the findings implications and suggestions for the research and development of the applications of AIED were provided.

Data Literacy Education in Design Curriculum of Higher Education Focused on Development of Design-Data Convergence Curriculum (디자인 교과과정에서의 데이터 문해력 교육에 관한 연구 -디자인-데이터 융합 교과 개발 사례를 중심으로)

  • Lee, Hyun Jhin
    • The Journal of the Korea Contents Association
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    • v.22 no.5
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    • pp.685-696
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    • 2022
  • This study explores convergence curriculum for design and data science, and applies data science knowledge on undergraduate design classes for designer's data literacy. First, related studies about data literacy education for non-data science major's, and data driven design project cases are explored, then design competency and data competency based on NCS are studied. Then this study developed 3 step design-data convergence curriculum model for designers' data literacy. The curriculum model is applied on case study classes, which are Big data and UX design(2) classes. The learning results and student's feedback of the case study classes are collected and analyzed to prove the design-data convergence curriculum, and the results provide findings and implications of the design-data convergence class case study.

Peer Role-Play in a College of Korean Medicine to Improve Senior Students' Competencies in Patient Care and Communication: A Case Analysis and Proposal for a Model (한의학 전공학생의 진료 및 의사소통 역량 향상을 위한 동료 역할극 모델제안과 사례분석)

  • Eunbyul Cho;Hyun-Jong Jung;Jungtae Leem
    • The Journal of Korean Medicine
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    • v.43 no.3
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    • pp.49-64
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    • 2022
  • Objectives: Peer role-play (PRP) has been used in health care training simulations because standardized patient training requires considerable time and expense. This study described the implementation of clinical simulation using PRP and examined the effect. Methods: Final year students from a single college of Korean medicine engaged in PRP as part of clinical skills practice. Education tools from clinical practice guidelines were used to structure the PRP. Communication competency was assessed with the Korean Version of the Self-Efficacy Questionnaire (KSE-12). Whether this training helped to achieve graduate outcomes was evaluated on a five-point scale. Results: Fifty-nine students (53.2%) participated in the survey. Among 12 items on the KSE-12, the score for "How certain are you that you are able to successfully listen attentively to the patient?" was the highest. Further, PRP was found to be helpful for self-directed learning, establishment of one's professional identity, and the ability to communicate and manage patients. Three themes ("Benefits of role-play", "The importance of positive feedback", "Limitations and problems of role-play"), 15 categories, and 16 central meanings were derived by categorizing learners' subjective opinions about PRP. Conclusions: Study findings indicate that PRP may contribute to improving communication skills and establishing a professional identity for future Korean medicine doctors. We suggest using PRP in clinical education in colleges of Korean Medicine.

Brainstorming using TextRank algorithms and Artificial Intelligence (TextRank 알고리즘 및 인공지능을 활용한 브레인스토밍)

  • Sang-Yeong Lee;Chang-Min Yoo;Gi-Beom Hong;Jun-Hyuk Oh;Il-young Moon
    • Journal of Practical Engineering Education
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    • v.15 no.2
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    • pp.509-517
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    • 2023
  • The reactive web service provides a related word recommendation system using the TextRank algorithm and a word-based idea generation service selected by the user. In the related word recommendation system, the method of weighting each word using the TextRank algorithm and the probability output method using SoftMax are discussed. The idea generation service discusses the idea generation method and the artificial intelligence reinforce-learning method using mini-GPT. The reactive web discusses the linkage process between React, Spring Boot, and Flask, and describes the overall operation method. When the user enters the desired topic, it provides the associated word. The user constructs a mind map by selecting a related word or adding a desired word. When a user selects a word to combine from a constructed mind-map, it provides newly generated ideas and related patents. This web service can share generated ideas with other users, and improves artificial intelligence by receiving user feedback as a horoscope.

Application for Workout and Diet Assistant using Image Processing and Machine Learning Skills (영상처리 및 머신러닝 기술을 이용하는 운동 및 식단 보조 애플리케이션)

  • Chi-Ho Lee;Dong-Hyun Kim;Seung-Ho Choi;In-Woong Hwang;Kyung-Sook Han
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.5
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    • pp.83-88
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    • 2023
  • In this paper, we developed a workout and diet assistance application to meet the growing demand for workout and dietary support services due to the increase in the home training population. The application analyzes the user's workout posture in real-time through the camera and guides the correct posture using guiding lines and voice feedback. It also classifies the foods included in the captured photos, estimates the amount of each food, and calculates and provides nutritional information such as calories. Nutritional information calculations are executed on the server, which then transmits the results back to the application. Once received, this data is presented visually to the user. Additionally, workout results and nutritional information are saved and organized by date for users to review.