• Title/Summary/Keyword: Content-based open task

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Tangram Task Modification for Exploring in Elementary Mathematics (초등 수학에서 탐구를 위한 탱그램 과제 변형)

  • Yoo, Jae-Geun;Park, Moon Hwan
    • Education of Primary School Mathematics
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    • v.22 no.1
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    • pp.95-111
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    • 2019
  • This study searched for the possibility of tangram activities through modifying the tasks of elementary school mathematics textbooks into content based open tasks. As a result of analyzing previous researches, it was confirmed the educational effect of the mathematical tasks transformation and the educational value of tangram activities. The analysis of the textbooks revealed that the tangram activities presented in the textbooks are likely to be at the level of play. It was tried to modify 2015 revised curriculum textbook-tasks into content based open tasks. Based on this study, it could be expected advantages of task modification such as improvement of teachers' expertise and expectation of diverse reactions of students.

Exploring the Determinants of MOOCs continuance intention

  • Jo, Donghyuk
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.8
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    • pp.3992-4005
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    • 2018
  • In our current information-based society in which knowledge is a fundamental asset to production, the capability to utilize information and produce knowledge with the use of information technology (IT) has become essential to learning. Massive Open Online Courses (MOOCs) have recently been introduced in light of such changes and are recognized as an alternative to open education. MOOCs' capabilities are being acknowledged in lifelong education in terms of reeducation and knowledge sharing, and also in terms of improving teaching quality, and improving university students' levels of creativity and integrated thinking by supporting high-level content and teaching. Therefore, this study presents an extended research model that combines information system (IS) continuance and task-technology fit models. Our study researches previous literature, revealing factors of continuous use after accepting MOOCs from the learner's perspective, and analyzes the model empirically. The ideal environment for MOOCs learners is evaluated, and a strategic approach to the successful settlement and diffusion of MOOCs is presented based on this study's findings.

Design and Implementation of Procedural Self-Instructional Contents and Application on Smart Glasses

  • Yoon, Hyoseok;Kim, Seong Beom;Kim, Nahyun
    • Journal of Multimedia Information System
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    • v.8 no.4
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    • pp.243-250
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    • 2021
  • Instructional contents are used to demonstrate a technical process to teach and walkthrough certain procedures to carry out a task. This type of informational content is widely used for teaching and lectures in form of tutorial videos and training videos. Since there are questions and uncertainties for what could be the killer application for the novel wearables, we propose a self-instruction training application on a smart glass to utilize already-available instruction videos as well as public open data in creative ways. We design and implement a prototype application to help users train by wearing smart glasses specifically designed for two concrete and hand-constrained use cases where the user's hands need to be free to operate. To increase the efficiency and feasibility of the self-instruction training, we contribute to the development of a wearable killer application by integrating a voice-based user interface using speech recognizer, public open data APIs, and timestamp-based procedural content navigation structure into our proof-of-concept application.

Validation of a Cognitive Task Simulation and Rehearsal Tool for Open Carpal Tunnel Release

  • Paro, John A.M.;Luan, Anna;Lee, Gordon K.
    • Archives of Plastic Surgery
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    • v.44 no.3
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    • pp.223-227
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    • 2017
  • Background Carpal tunnel release is one of the most common surgical procedures performed by hand surgeons. The authors created a surgical simulation of open carpal tunnel release utilizing a mobile and rehearsal platform app. This study was performed in order to validate the simulator as an effective training platform for carpal tunnel release. Methods The simulator was evaluated using a number of metrics: construct validity (the ability to identify variability in skill levels), face validity (the perceived ability of the simulator to teach the intended material), content validity (that the simulator was an accurate representation of the intended operation), and acceptability validity (willingness of the desired user group to adopt this method of training). Novices and experts were recruited. Each group was tested, and all participants were assigned an objective score, which served as construct validation. A Likert-scale questionnaire was administered to gauge face, content, and acceptability validity. Results Twenty novices and 10 experts were recruited for this study. The objective performance scores from the expert group were significantly higher than those of the novice group, with surgeons scoring a median of 74% and medical students scoring a median of 45%. The questionnaire responses indicated face, content, and acceptability validation. Conclusions This mobile-based surgical simulation platform provides step-by-step instruction for a variety of surgical procedures. The findings of this study help to demonstrate its utility as a learning tool, as we confirmed construct, face, content, and acceptability validity for carpal tunnel release. This easy-to-use educational tool may help bring surgical education to a new- and highly mobile-level.

Big Data based Tourist Attractions Recommendation - Focus on Korean Tourism Organization Linked Open Data - (빅데이터 기반 관광지 추천 시스템 구현 - 한국관광공사 LOD를 중심으로 -)

  • Ahn, Jinhyun;Kim, Eung-Hee;Kim, Hong-Gee
    • Management & Information Systems Review
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    • v.36 no.4
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    • pp.129-148
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    • 2017
  • Conventional exhibition management information systems recommend tourist attractions that are close to the place in which an exhibition is held. Some recommended attractions by the location-based recommendation could be meaningless when nothing is related to the exhibition's topic. Our goal is to recommend attractions that are related to the content presented in the exhibition, which can be coined as content-based recommendation. Even though human exhibition curators can do this, the quality is limited to their manual task and knowledge. We propose an automatic way of discovering attractions relevant to an exhibition of interests. Language resources are incorporated to discover attractions that are more meaningful. Because a typical single machine is unable to deal with such large-scale language resources efficiently, we implemented the algorithm on top of Apache Spark, which is a well-known distributed computing framework. As a user interface prototype, a web-based system is implemented that provides users with a list of relevant attractions when users are browsing exhibition information, available at http://bike.snu.ac.kr/WARP. We carried out a case study based on Korean Tourism Organization Linked Open Data with Korean Wikipedia as a language resource. Experimental results are demonstrated to show the efficiency and effectiveness of the proposed system. The effectiveness was evaluated against well-known exhibitions. It is expected that the proposed approach will contribute to the development of both exhibition and tourist industries by motivating exhibition visitors to become active tourists.

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Formation, Development and Task of the Health Insurance Act (건강보험법의 형성과 발전, 그리고 과제)

  • CHEON, Kwang Seok
    • The Korean Society of Law and Medicine
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    • v.20 no.3
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    • pp.3-45
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    • 2019
  • Health insurance is the main instrument to protect the people against sickness. To examine the task of in the future it would be necessary to extract and understand the components formed in its formation and development, benefit related and normative characteristics of the health insurance itself. The health insurance oriented itself to the universal coverage at a law level. Paradoxically this worked positively for the universal development of the health insurance. The task of the health insurance is on the one hand universal, positive and open. On the other hand it has to shape type of allowed method, art and content of the medical treatments into the regulation to ensure the equal benefit as well as the financial stability. That is, the health insurance should check the aberrant medical treatment, and at the same time should be compensated for the their necessity and effectiveness. However there are always some structural differences between both requirements. This article aims to restate and analyse the development of the health insurance, based on the characteristics formed hitherto show the way to reform the health insurance. The problem to enhance the coverage of health insurance, its institutional as well as financial crisis, its peculiar governance would be handled.

Exploring Collaborative Learning Dynamics in Science Classes Using Google Docs: An Epistemic Network Analysis of Student Discourse (공유 문서를 활용한 과학 수업에서 나타난 학생 담화의 특징 -인식 네트워크 분석(ENA)의 활용-)

  • Eunhye Shin
    • Journal of The Korean Association For Science Education
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    • v.44 no.1
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    • pp.77-86
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    • 2024
  • This study analyzed students' discourse and learning to investigate the impact of using Google Docs in science classes. The researcher, who is also a science teacher, conducted classes for 49 second-year middle school students. The classes included one using Google Docs and another using traditional paper worksheets covering identical content. Students' discourse collected from each class was compared and analyzed using Epistemic Network Analysis (ENA). The findings indicated that in the class using Google Docs, the proportion of discourse related to task was higher compared to the traditional class. More specifically, discourse regarding taking and uploading photos was prominent. However, such discourse did not lead to peer learning as intended by the teacher. An analysis based on achievement levels revealed that the class utilizing Google Docs had a relatively higher proportion of discourse from lower-achieving students. Additionally, differences were observed in the types of utterances and connection structures between the higher and lower-achieving students. The higher-achieving students took a leading role in providing suggestions and explanations, while the lower-achieving students played a role in transcribing them, with this tendency being more pronounced in the class using Google Docs. Lastly, students' changes in perception regarding the cause of static electricity were visualized using ENA. Based on the research findings, this study proposes strategies to enhance collaborative learning using Google Docs, including the use of open-ended problems to allow diverse opinions and outputs, and exploring the potential use of ENA to assess the learning effects of conceptual learning.