• Title/Summary/Keyword: Learning environment design

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Best Practice of Gamification in Block Coding Learning Platform based on Virtual Reality

  • Seo Yeon Hong;Hyeon-A Park;Ji Yeong Choe;Mi Seo Choi;Janghwan Kim;R. Young Chul Kim;Chaeyun Seo
    • International Journal of Advanced Culture Technology
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    • v.12 no.3
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    • pp.419-426
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    • 2024
  • Due to the government's announcement of the 2025 policy mandating coding education, there is a growing need for effective coding learning methods in elementary education. However, there are few methods available that can easily help younger students understand coding. While text-based coding and visual block coding methods exist, they have limitations. To address these issues, we propose a block coding learning platform that combines virtual reality (VR) technology with gamification elements. The traditional two dimensional (2D) block coding methods have some limitations, so this platform aims to overcome these by providing an environment where learners can intuitively understand and experience coding in a three dimensional (3D) virtual space. The primary goal is to enhance immersive, learner-centered experiences and improve creative problem-solving skills and computational thinking. This study proposes an experimental approach to demonstrate the effectiveness of a learning platform that combines VR technology with block coding. Furthermore, we expect that the VR-based platform will significantly contribute to improving the quality of education and promoting self-directed learning among students.

Cooperative Multi-agent Reinforcement Learning on Sparse Reward Battlefield Environment using QMIX and RND in Ray RLlib

  • Minkyoung Kim
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.1
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    • pp.11-19
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    • 2024
  • Multi-agent systems can be utilized in various real-world cooperative environments such as battlefield engagements and unmanned transport vehicles. In the context of battlefield engagements, where dense reward design faces challenges due to limited domain knowledge, it is crucial to consider situations that are learned through explicit sparse rewards. This paper explores the collaborative potential among allied agents in a battlefield scenario. Utilizing the Multi-Robot Warehouse Environment(RWARE) as a sparse reward environment, we define analogous problems and establish evaluation criteria. Constructing a learning environment with the QMIX algorithm from the reinforcement learning library Ray RLlib, we enhance the Agent Network of QMIX and integrate Random Network Distillation(RND). This enables the extraction of patterns and temporal features from partial observations of agents, confirming the potential for improving the acquisition of sparse reward experiences through intrinsic rewards.

The Design and Development of a Web-based Learning Environment for Problem-Solving Applying Cognitive Apprenticeship (인지적 도제 방법을 적용한 웹 기반 문제해결학습 환경 설계 및 구현)

  • Lee, Cheol-Hee;Jo, Miheon
    • The Journal of Korean Association of Computer Education
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    • v.8 no.5
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    • pp.85-95
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    • 2005
  • In the information and knowledge-based society, problem-solving ability to utilize information and to cope with various problem situations is considered to be much more important than simply memorized knowledge. On the basis of such needs of the current society, various studies were conducted focusing on the merits of e-learning to create learning environments that can help students acquire basic knowledge and develop problem-solving abilities. This study attempted to design and develop a web-based learning environment for problem-solving applying cognitive apprenticeship that can help students develop their thinking skills and problem-solving strategies. The results of this study can be utilized as a method to connect traditional classrooms to e-Learning.

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Development of interactive children's museum contents for online-offline experience and research on satisfaction level (온·오프라인 연계 체험형 어린이 박물관 콘텐츠 개발 및 만족도 조사 연구)

  • LEE, JI-EUN;LEE, SANG-WON
    • Journal of Digital Convergence
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    • v.19 no.9
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    • pp.59-65
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    • 2021
  • This study intends to find a positive effect on the learning of elementary school students by developing the exhibition contents of on-offline museum. This on-offline museum contents were combined with existing exhibit types and direct experience elements, and the theory of [blended learning]. Through this study, analyzing the limitations of existing online museum and finding with experiment to see if the new contents had a learning effect compared to the existing online museum. As a result of the experimental study, the content with a [direct experience] was counted as a high satisfaction and frequency index, and the [play] and [experience] type of direct experience contents showed higher satisfaction than the indirect experience type contents. Through this study, we want to provide new implications and development possibilities in the development of contents that online museums can provide, and to promote various effects on children's education.

A Design and Implementation of Web-based Learning System with Self-Study Plan (자기 학습 계획을 갖는 웹기반 학습 시스템의 설계 및 구현)

  • Jang, Duk-Sung;Cho, Hyun-Uk
    • The KIPS Transactions:PartA
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    • v.11A no.4
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    • pp.297-302
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    • 2004
  • In the information-oriented society, the paradigm of education has changed from the existing traditional teaching-centered education to the learning-centered education. In the Web-based Learning System which an learning-centered educational environment using the internet, students should have responsibility of their learning as taking more opportunities to participate their learning positively, to control their process of learning and to evaluate their learning by themselves to improve self-directed loaming ability. In this paper, the Web-based Learning System with a Self-Study Plan to lead students to select own purposes and methods of the study and write a self_evaluation is developed. The Self-Study Plan is a guide to lead the process, an order to have an individualized study and a report to evaluate own study. In addition, the suggested System is designed through object-oriented method using the extension mechanism of UML to archive the improvement of reuse and maintenance.

Designing the Content-Based Korean Instructional Model Using the Flipped Learning

  • Mun, Jung-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.6
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    • pp.15-21
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    • 2018
  • The purpose of this study is to design a Content-based Korean Class model using Flipped learning for foreign students. The class model that presents on this paper will lead the language learning through content learning, also it will be enable the student more active and to have an initiative in the class. Prior to designing a Content-based Korean Class model using Flipped learning, the concepts and educational significance and characteristics of flip learning were reviewed through previous studies. Then, It emphasizes the necessity of teaching method adapting Flipped learning to Content-based teaching method in Korean language education. It also suggests standards and principles of composition in Contents-based teaching method using Flipped learning. After designing the instructional model based on the suggested standards and principles, it presents a course of instruction about how learning methods, contents and activities should be done step by step. The Content-based Korean class model using the Flipped learning will be an alternative approach to overcome the limitations of teacher-centered teaching methods and lecture-teaching methods which are the dominant of present classroom environment.

Development and Distribution of Deep Fake e-Learning Contents Videos Using Open-Source Tools

  • HO, Won;WOO, Ho-Sung;LEE, Dae-Hyun;KIM, Yong
    • Journal of Distribution Science
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    • v.20 no.11
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    • pp.121-129
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    • 2022
  • Purpose: Artificial intelligence is widely used, particularly in the popular neural network theory called Deep learning. The improvement of computing speed and capability expedited the progress of Deep learning applications. The application of Deep learning in education has various effects and possibilities in creating and managing educational content and services that can replace human cognitive activity. Among Deep learning, Deep fake technology is used to combine and synchronize human faces with voices. This paper will show how to develop e-Learning content videos using those technologies and open-source tools. Research design, data, and methodology: This paper proposes 4 step development process, which is presented step by step on the Google Collab environment with source codes. This technology can produce various video styles. The advantage of this technology is that the characters of the video can be extended to any historical figures, celebrities, or even movie heroes producing immersive videos. Results: Prototypes for each case are also designed, developed, presented, and shared on YouTube for each specific case development. Conclusions: The method and process of creating e-learning video contents from the image, video, and audio files using Deep fake open-source technology was successfully implemented.

Design and implementation of Robot Soccer Agent Based on Reinforcement Learning (강화 학습에 기초한 로봇 축구 에이전트의 설계 및 구현)

  • Kim, In-Cheol
    • The KIPS Transactions:PartB
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    • v.9B no.2
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    • pp.139-146
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    • 2002
  • The robot soccer simulation game is a dynamic multi-agent environment. In this paper we suggest a new reinforcement learning approach to each agent's dynamic positioning in such dynamic environment. Reinforcement learning is the machine learning in which an agent learns from indirect, delayed reward an optimal policy to choose sequences of actions that produce the greatest cumulative reward. Therefore the reinforcement learning is different from supervised learning in the sense that there is no presentation of input-output pairs as training examples. Furthermore, model-free reinforcement learning algorithms like Q-learning do not require defining or learning any models of the surrounding environment. Nevertheless these algorithms can learn the optimal policy if the agent can visit every state-action pair infinitely. However, the biggest problem of monolithic reinforcement learning is that its straightforward applications do not successfully scale up to more complex environments due to the intractable large space of states. In order to address this problem, we suggest Adaptive Mediation-based Modular Q-Learning (AMMQL) as an improvement of the existing Modular Q-Learning (MQL). While simple modular Q-learning combines the results from each learning module in a fixed way, AMMQL combines them in a more flexible way by assigning different weight to each module according to its contribution to rewards. Therefore in addition to resolving the problem of large state space effectively, AMMQL can show higher adaptability to environmental changes than pure MQL. In this paper we use the AMMQL algorithn as a learning method for dynamic positioning of the robot soccer agent, and implement a robot soccer agent system called Cogitoniks.

Design and Application of the u-SM Teaching and Learning Model for an Efficient Ubiquitous Learning (효율적인 유비쿼터스 학습을 위한 u-SM 교수학습모형 설계 및 적용)

  • Kim, Sang-Hong;Joo, Kil-Hong
    • Journal of The Korean Association of Information Education
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    • v.12 no.2
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    • pp.235-244
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    • 2008
  • According to develop the computer and communication technology, recently educational environment is growing to ubiquitous learning with direction which select the studying content, studying time and a studying order oneself. In order to raise effect of studying in the ubiquitous learning(u-Learning), the help or advice of the specialist is necessary earnestly. Accordingly, if it will combine the scaffolding and the mentoring in the u-Learning, a studying effect will be maximize. This paper design the u-SM(Scaffolding and Mentoring) teaching and learning model which applies the scaffolding and e-mentoring. In addition, it embodies and applies the designed u-SM model. Then it examines it affects in studying achievements and attitudes of students and verifies the application possibility of the u-SM teaching and learning.

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A Design and Implementation of Instruction System for Underachievers′ Number-Concept Learning (수학 학습부진아의 수 개념 형성을 위한 학습시스템 설계 및 구현)

  • 김영태;이재무
    • Journal of the Korea Computer Industry Society
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    • v.3 no.1
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    • pp.45-56
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    • 2002
  • The object of our research is to design and to embody the learning system of numerical concept for the mathematic loaming disabilities. The existing system for the learning disabilities was a simple repeating practice system, repeating the same learning contents to obtain the skill, ignoring the learner's disability situation. This bears a problem that the interest and motivation in the learning media will reduce as the learning goes on. This loaming system offers the learning process of numerical concept by showing an animation file of a real life and offering a concrete mouse manipulating practice environment, so as to maintain the motivation of the learner, giving an instant compensation and feedback. If this system are used in directing the learning disabilities, it will help them to stay motivated and to create a positive teaming attitude by a variety level learning system, supporting suitable speed and learning contents for the learning disabilities individuals.

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