• Title/Summary/Keyword: Experience of Learning

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A Study on Learner's Recognition of Computational Thinking Education Model Using EXCEL VBA (EXCEL VBA를 이용한 컴퓨팅 사고력 교육 모델에 대한 학습자의 인식 연구)

  • Park, Youn-Soo;Lee, Minjeong
    • The Journal of Korean Association of Computer Education
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    • v.23 no.2
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    • pp.41-51
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    • 2020
  • The goal of this study is to test the hypothesis that the practicality of EXCEL VBA will be beneficial for SW education for SW non-majors. To this end, we planned the education for non-majors using the EXCEL VBA and conducted 15 weeks of education. According to a follow-up survey conducted after the 15-week education period, 72.21% of the survey respondents said EXCEL was practical. Also, learners who were aware of the necessity of SW education and the importance of SW competence recognized that the computational thinking education using EXCEL VBA had a positive effect on the improvement of computer-related knowledge and experience. Also, learners recognized that learning with EXCEL was easy, while learning with VBA was difficult. The learning process using VBA needs to be composed of project-oriented educational contents that can give a sense of achievement to learners rather than programming-oriented education. And continuous research on project-based learning is needed.

Dynamic Pricing Based on Reinforcement Learning Reflecting the Relationship between Driver and Passenger Using Matching Matrix (Matching Matrix를 사용하여 운전자와 승객의 관계를 반영한 강화학습 기반 유동적인 가격 책정 체계)

  • Park, Jun Hyung;Lee, Chan Jae;Yoon, Young
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.6
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    • pp.118-133
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    • 2020
  • Research interest in the Mobility-as-a-Service (MaaS) concept for enhancing users' mobility experience is increasing. In particular, dynamic pricing techniques based on reinforcement learning have emerged since adjusting prices based on the demand is expected to help mobility services, such as taxi and car-sharing services, to gain more profit. This paper provides a simulation framework that considers more practical factors, such as demand density per location, preferred prices, the distance between users and drivers, and distance to the destination that critically affect the probability of matching between the users and the mobility service providers (e.g., drivers). The aforementioned new practical features are reflected on a data structure referred to as the Matching Matrix. Using an efficient algorithm of computing the probability of matching between the users and drivers and given a set of precisely identified high-demand locations using HDBSCAN, this study developed a better reward function that can gear the reinforcement learning process towards finding more realistic dynamic pricing policies.

Understanding the Current State of Deep Learning Application to Water-related Disaster Management in Developing Countries

  • Yusuff, Kareem Kola;Shiksa, Bastola;Park, Kidoo;Jung, Younghun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.145-145
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    • 2022
  • Availability of abundant water resources data in developing countries is a great concern that has hindered the adoption of deep learning techniques (DL) for disaster prevention and mitigation. On the contrary, over the last two decades, a sizeable amount of DL publication in disaster management emanated from developed countries with efficient data management systems. To understand the current state of DL adoption for solving water-related disaster management in developing countries, an extensive bibliometric review coupled with a theory-based analysis of related research documents is conducted from 2003 - 2022 using Web of Science, Scopus, VOSviewer software and PRISMA model. Results show that four major disasters - pluvial / fluvial flooding, land subsidence, drought and snow avalanche are the most prevalent. Also, recurrent flash floods and landslides caused by irregular rainfall pattern, abundant freshwater and mountainous terrains made India the only developing country with an impressive DL adoption rate of 50% publication count, thereby setting the pace for other developing countries. Further analysis indicates that economically-disadvantaged countries will experience a delay in DL implementation based on their Human Development Index (HDI) because DL implementation is capital-intensive. COVID-19 among other factors is identified as a driver of DL. Although, the Long Short Term Model (LSTM) model is the most frequently used, but optimal model performance is not limited to a certain model. Each DL model performs based on defined modelling objectives. Furthermore, effect of input data size shows no clear relationship with model performance while final model deployment in solving disaster problems in real-life scenarios is lacking. Therefore, data augmentation and transfer learning are recommended to solve data management problems. Intensive research, training, innovation, deployment using cheap web-based servers, APIs and nature-based solutions are encouraged to enhance disaster preparedness.

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DeNERT: Named Entity Recognition Model using DQN and BERT

  • Yang, Sung-Min;Jeong, Ok-Ran
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.4
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    • pp.29-35
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    • 2020
  • In this paper, we propose a new structured entity recognition DeNERT model. Recently, the field of natural language processing has been actively researched using pre-trained language representation models with a large amount of corpus. In particular, the named entity recognition, which is one of the fields of natural language processing, uses a supervised learning method, which requires a large amount of training dataset and computation. Reinforcement learning is a method that learns through trial and error experience without initial data and is closer to the process of human learning than other machine learning methodologies and is not much applied to the field of natural language processing yet. It is often used in simulation environments such as Atari games and AlphaGo. BERT is a general-purpose language model developed by Google that is pre-trained on large corpus and computational quantities. Recently, it is a language model that shows high performance in the field of natural language processing research and shows high accuracy in many downstream tasks of natural language processing. In this paper, we propose a new named entity recognition DeNERT model using two deep learning models, DQN and BERT. The proposed model is trained by creating a learning environment of reinforcement learning model based on language expression which is the advantage of the general language model. The DeNERT model trained in this way is a faster inference time and higher performance model with a small amount of training dataset. Also, we validate the performance of our model's named entity recognition performance through experiments.

Development of Cinenurducation Based on Kolb's Experiential Learning Model for Understanding Child Growth and Development (아동성장발달 이해를 위한 경험학습모델 기반 영화간호교육 개발)

  • Oh, Jina;Im, Mihae;Roh, Hyerin
    • Child Health Nursing Research
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    • v.20 no.2
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    • pp.96-104
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    • 2014
  • Purpose: Nurse educators can use film effectively to promote nursing students' motivation and indirect experiences. The purpose of this study was to develop a teaching-learning design using films based on Kolb's experiential learning model for understanding of child growth and development, and to evaluate students' satisfaction with cinenurducation according to learning type and content. Methods: Participants were seventy-four first year nursing students in the spring semester of 2013 at a private university located in Busan. In each class, participants watched film, participated in peer-to-group discussion and an educator's lecture, and wrote a composition based on Kolb's four learning stages. After class, participants filled out a questionnaire developed by the researchers. Results: Results showed a high satisfaction with cinenurducation regardless of learning type and content concerning child growth and development. Advantages of cinenurducation included it being "fun and interesting," "helpful to understand the characteristics of children," and "develop critical thinking through discussions." Disadvantages included "length of time needed," and "burdensome." Conclusion: Films are advantageous in that they provide indirect experience for nursing students. Selection of appropriate films and evaluation of learning goal achievements are important to maximize the effectiveness of cinenurducation.

The Effect of Cooperative Learning-Oriented Teaching Methods by Subject on the Communication and Problem-Solving Ability of Pre-service Early Childhood Teachers (협동학습중심의 교과별교수법 수업이 예비유아교사의 의사소통능력과 문제해결능력에 미치는 영향)

  • Cho, Mi Young;Park, Eun Ju
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.9-22
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    • 2022
  • The purpose of this study was to provide basic data on pre-service teacher's education based on cooperative learning-oriented teaching and learning methods by applying cooperative learning to verify the effectiveness of pre-service early childhood teacher's communication and problem-solving ability. In the first semester of 2021, 4th grade students who took the teaching method by subject class opened by department of early childhood education at C university were taught for 11 weeks from March 1st week to May 2nd week in 2021 for 4 hours a week. The results of this study were as follows: First, the average score of interpretive ability was the highest in the sub-areas of communication ability of pre-service early childhood teachers, followed by message conversion ability, role performance ability, self-presentation ability, and goal setting ability in the cooperative learning-oriented teaching method by subject class. Second, in terms of the overall average score of pre-service teacher's problem-solving ability, the average score of post-test was increased compared to the average score of pre-test. Through the cooperative learning-oriented class experience in the university's early childhood teacher training course, it is possible to cultivate the practical ability that can be used variously for the children such as communication ability and problem-solving ability in the early childhood education field. Therefore, it is necessary to provide opportunities for cooperative learning-oriented teaching methods in the teacher's education curriculum.

A Study on the Havruta Learning Method Shir and the Results of Learner Activities

  • Cho, Woo-Hong
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.2
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    • pp.213-218
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    • 2022
  • The purpose of this study was to apply the Havruta learning method and conduct a study on Shir and learner activity results, which was used as a method to improve learning competency. As the contents of the study, first, the ability to suggest ways to solve problems and the expansion of various thinking can be expected while listening to the questions of other students. Second, you can evaluate your own strengths and weaknesses by strengthening your communication skills and comparing and evaluating teaching methods at the same time. Third, through the experience of debate, one can solidify the establishment of one's own values and ethics, and based on this, one can develop the capacity for logical persuasion and argument. Fourth, it is judged that it is possible to analyze the practical problems suitable for the characteristics of the learner, and to develop a clear understanding of the situation and the ability to apply it.

Investigation into the inclusion of life-longeducation for individuals with disabilities and the perspectives of their guardians on the needs related to the life-long program: A case study in Gongju City. (장애인 평생교육 이용실태 및 장애인 보호자가 인식한 지원요구 분석: 공주시를 중심으로)

  • Misuk Lee;Min Kyung Han
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.4
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    • pp.527-536
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    • 2024
  • This study seeks to develop efficient strategies for the implementation of lifelong education programs designed for individuals with disabilities in Gongju City. The primary focus is on creating a community-based lifelong learning environment. A comprehensive survey was conducted targeting 61 guardians with experience in lifelong education for individuals with disabilities in Gongju City. The findings of the study suggest a holistic strategy for the establishment of lifelong education programs for individuals with disabilities. This plan emphasizes the significance of tailored lifelong education programs that cater to the varying levels of disability, characteristics, and needs present within this demographic. Furthermore, it argues for the development of a functional system that considers the needs of both individuals with disabilities and their caregivers throughout the design and implementation stages of lifelong education initiatives.

Analysis of the University Library's Space Program and Design Characteristics with the Concept of 'Cultural Commons' - Focused on the Tama Art University Library - (문화공유지(Cultural Commons) 개념에 의한 대학도서관의 공간프로그램과 디자인방법의 특성 - 타마미술대학 도서관을 중심으로 -)

  • Pyun, Young-Hee;Park, Chan-Il
    • Korean Institute of Interior Design Journal
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    • v.24 no.3
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    • pp.48-58
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    • 2015
  • This study is to conclude a direction for Information Commons, which supports the university library in a new role. The study explains perspectives on the changing role of the university library by examining the approaches, histories, and theories practiced by various researchers on Information Commons. The study aims to discover ways of improving the library space that are dedicated to technology using Information Commons, it also examines ways of creating a unified "library space" that will support learning and access to knowledge and information. The features of Cultural Commons include making improvements to technology-centered space, and providing support to research, freedom of speech, creative approach, public freedom and collaboration, and interaction. The functions of Cultural Commons within the university library are listed: First, it supports programs that will transform the library into a social hub within the university. The space specifically blurs the boundary between the library building and its surroundings, and unifies these spaces to enhance its catalytic role in aiding social interactions and human-centered approach. Second, it supports active participation through cultural programs and provides a fluid and interactive space with virtual resources. Third, it enhances user experience to supports behaviors and activities that involve fixtures and equipment in the space to promote learning. The study notes that, with the emergence of these characteristics, the university library is changing by implementing Cultural Commons for on-campus social space and new learning. Accordingly, this implementation is expected to enhance active acceptance of the library space in the future.

A Study on the Empowerment of Parents of Gifted Children Using Action Learning (영재부모의 역량강화를 위한 액션러닝 적용방안)

  • Chu, Sung-Kyung
    • Journal of Gifted/Talented Education
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    • v.23 no.6
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    • pp.899-917
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    • 2013
  • This study is purpose of empowerment of Parents of Gifted Children Using Action Learning. Conclusions and Implications of this study are as follows: First, the gifted children at home parents worry and stress associated with parenting experience, but directly to the nurturing gifted education is insufficient for parents. Thus, the characteristics of gifted and talented gifted parents who have appropriate training should be conducted. Second, a gifted parent empowerment by having a parent in child care for the ability to relieve stress and parenting, parents in the education of their children the confidence to believe that may be helpful. Third, parents of gifted children for strengthening the application of action learning approach is to derive a real problem with gifted children and their parents to seek a solution for the child care that can enhance the capabilities will be presented.