• Title/Summary/Keyword: learning tool

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Design-Based Research for Developing Wiki-Based Inquiry Support Tools

  • KIM, Soohyun;KIM, Dongsik;SUN, Jongsam
    • Educational Technology International
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    • v.10 no.2
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    • pp.29-61
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    • 2009
  • The purpose of this study was to design an inquiry supporting tool on wiki based collaborative learning and to investigate the effect of the inquiry supporting tool. Eight design principles were selected and more specified design strategies were made from the literatures. The first system with the first-round design principles was developed and implemented in an actual classroom. After the first field study, researcher found a few drawbacks of the system. The second system was implemented in the classroom again. Finally developed wiki-based inquiry supporting tool system is unique in that it allows instructors to design their own CSCL inquiry activities, and it has intuitive menu tabs showing inquiry learning processes.

Practical Measurement on Education Outcome Through Multi-Evaluations (다면적 평가를 통한 교육성과 평가도구 개발 및 분석연구)

  • Baik, Ran
    • Journal of Engineering Education Research
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    • v.15 no.6
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    • pp.98-102
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    • 2012
  • This paper diagnose subjects and measures the learning ability of students based on the goal of developing an assessment tool for education productivity based on multi-aspect evaluation conducted by ICEE at Honam University. Furthermore, develop an assessment tool for education productivity that provides a motive to bring detailed improvements in teaching methods through the diagnosis. In addition, a method for compensating the issues and improving the quality of subject is suggested to develop learning ability of students through applying the assessment tool. An integrated operated system of CQI is desired to be built along with quality improvement of education through measuring academic quality by studying the methods for enhancing academic and learning ability achievement from analysis of the curriculum provided in the "ABEEK program". Through this study the current state of education productivity is presented through analyzing the difference between students who participated in the "ABEEK program" and who did not participate, and operating a comparison between the student's comprehension on their majors and liberal arts by the multi-aspect evaluation that has been conducted for 2 years.

High Speed Tool Feed System by the Mechanism of Ball Screw and Servo Motor (볼 나사와 서보모터 메커니즘에 의한 고속 TOOL 이송장치)

  • 김성식;김경석
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.11
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    • pp.76-82
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    • 1998
  • In this study, the Ball screw and Servo motor Mechanism is considered as a High Speed Tool Feed System for the machining of a piston of a reciprocating engine. For the machining of a piston, that shapes oval, high speed servo mechanism is needed as a positioning of a cutting tool, and the stroke of tool is 0.1 mm ~ 1 mm. Ball screw and servo motor Mechanism is available very much because this mechanism is used widely in general machine. This Mechanism has been designed with the use of the decrease in mass and partial wear of the ball screw for high speed positioning of tool. Also the periodic learning control method with the inverse transfer function compensation has been applied to the positioning control for the high accuracy positioning of tool. These applications lead the achievement of the machining of a piston with an accuracy of 5${\mu}{\textrm}{m}$ at 2500 rpm in CNC turning.

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Development of a Blended-learning based Online Self-directed Learning Ability Measurement Scale for Youth (청소년을 위한 블렌디드러닝 기반 온라인 자기주도학습능력 종합진단검사 도구 개발)

  • Kim, Pan Soo;Choi, Seong Woo;Kang, Hyoung Gu;Jeon, Kyu Tae;Jhun, Min Kyung
    • Journal of Digital Convergence
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    • v.15 no.4
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    • pp.1-11
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    • 2017
  • The purpose of the study is to develop an online measurement scale for diagnosing self-directed learning ability for students in Korea. In order to achieve the goal, literature review, case analyses, and experts interview were carried out and finalized the blended-learning based SMMIS model. A total of 1,626 elementary, middle and high school students participated in the scale survey to validate the credibility and validity. Based on these results, an online measurement tool for self-directed learning was developed. The tool can be used in blended-learning environment to maximize its effectiveness. In conclusion, we discussed about implications and strategies for the blended-learning based on self-directed learning program model for young students, and suggested future vision and further research.

Designing Handheld Learning Tool Based On Cognitive Load Theory (인지 부하 이론에 기초한 PDA 기반 학습 프로그램 설계 연구)

  • Kim, Dongsik;Kwon, Sukjin
    • The Journal of Korean Association of Computer Education
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    • v.10 no.1
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    • pp.67-75
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    • 2007
  • The purpose of the study is to develop handheld learning tool based on design principles drawn from cognitive load theory. To optimize learner's cognitive load, the learning program should be developed for maximizing the effective load and(or) minimizing ineffective load. The principles, which were applied to developing the learning program, for minimizing the extraneous cognitive load, one of the ineffective loads, are modality, redundancy, split-attention, multimedia, and worked-out example. In this study, we will show possibilities for designing an effective mobile learning program.

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State recognition of fine blanking stamping dies through vibration signal machine learning (진동신호 기계학습을 통한 프레스 금형 상태 인지)

  • Seok-Kwan Hong;Eui-Chul Jeong;Sung-Hee Lee;Ok-Rae Kim;Jong-Deok Kim
    • Design & Manufacturing
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    • v.16 no.4
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    • pp.1-6
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    • 2022
  • Fine blanking is a press processing technology that can process most of the product thickness into a smooth surface with a single stroke. In this fine blanking process, shear is an essential step. The punches and dies used in the shear are subjected to impacts of tens to hundreds of gravitational accelerations, depending on the type and thickness of the material. Therefore, among the components of the fine blanking mold (dies), punches and dies are the parts with the shortest lifespan. In the actual production site, various types of tool damage occur such as wear of the tool as well as sudden punch breakage. In this study, machine learning algorithms were used to predict these problems in advance. The dataset used in this paper consisted of the signal of the vibration sensor installed in the tool and the measured burr size (tool wear). Various features were extracted so that artificial intelligence can learn effectively from signals. It was trained with 5 features with excellent distinguishing performance, and the SVM algorithm performance was the best among 33 learning models. As a result of the research, the vibration signal at the time of imminent tool replacement was matched with an accuracy of more than 85%. It is expected that the results of this research will solve problems such as tool damage due to accidental punch breakage at the production site, and increase in maintenance costs due to prediction errors in punch exchange cycles due to wear.

Pharmacy Students' Experiences and Perceptions of the Use of Learning Portfolio (약학대학 학생들의 학습 포트폴리오에 대한 경험과 인식)

  • Je, Nam Kyung;Lee, Iyn-Hyang
    • Korean Journal of Clinical Pharmacy
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    • v.24 no.2
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    • pp.90-97
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    • 2014
  • Learning portfolio is a collection of evidence that learning has taken place. It has gained its reputation as a useful assessment tool in the education of health professionals. The purpose of this study is to describe the pharmacy students' experiences and perceptions upon the introduction of a learning portfolio into the Introductory Pharmacy Practice Experience course. Methods: Fifty five students from one pharmacy school who used a learning portfolio to document their progress in the IPPE course participated in 16-item questionnaire exploring opinions and experiences of learning portfolio preparation, assessment, and personal and professional development and reflection. Results: Most students agree that a learning portfolio is a valuable tool in promoting self-directed and reflective learning. However most of them (46/55) also feel developing a portfolio is time-consuming, and when compared to their effort, an appropriate reward has not been given. Conclusion: To make the use of learning portfolios successful students should receive clear guidelines on their purpose, content and structure. Also the assessment criteria should be provided before the introduction of learning portfolio and their effort in developing learning portfolio should be rewarded.

Pattern Analysis of the Learning Personality Types Using Fuzzy TAM Network (퍼지 TAM 네트워크를 이용한 학습성격유형의 패턴분석)

  • Um, Jae-Geuk;Hwang, Seung-Gook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.16 no.5
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    • pp.622-626
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    • 2006
  • In this paper, we show the usefulness of an methodology using a neural network that it analyzes a relation between learning personality related variables of the Enneargram and learning personality types. The Enneargram is a tool to classify learning personality types. In other words, we analyzed patterns of learning personality types-actaul-spontaneous type, actual-routine type, conceptual-specific type, conceptual-global type - by using the fuzzy TAM network that are very useful tool for pattern analysis.

Machine Learning Data Analysis for Tool Wear Prediction in Core Multi Process Machining (코어 다중가공에서 공구마모 예측을 위한 기계학습 데이터 분석)

  • Choi, Sujin;Lee, Dongju;Hwang, Seungkuk
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.20 no.9
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    • pp.90-96
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    • 2021
  • As real-time data of factories can be collected using various sensors, the adaptation of intelligent unmanned processing systems is spreading via the establishment of smart factories. In intelligent unmanned processing systems, data are collected in real time using sensors. The equipment is controlled by predicting future situations using the collected data. Particularly, a technology for the prediction of tool wear and for determining the exact timing of tool replacement is needed to prevent defected or unprocessed products due to tool breakage or tool wear. Directly measuring the tool wear in real time is difficult during the cutting process in milling. Therefore, tool wear should be predicted indirectly by analyzing the cutting load of the main spindle, current, vibration, noise, etc. In this study, data from the current and acceleration sensors; displacement data along the X, Y, and Z axes; tool wear value, and shape change data observed using Newroview were collected from the high-speed, two-edge, flat-end mill machining process of SKD11 steel. The support vector machine technique (machine learning technique) was applied to predict the amount of tool wear using the aforementioned data. Additionally, the prediction accuracies of all kernels were compared.

Authoring Tool of Courseware based on Crossword Puzzle Game for Vocabulary Learning (크로스워드 퍼즐게임을 기반으로 하는 어휘학습 코스웨어 저작도구)

  • Park, Su-Ja;Jung, SoonYoung
    • The Journal of Korean Association of Computer Education
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    • v.6 no.2
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    • pp.157-164
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    • 2003
  • To enhance the effect of learning in vocabulary learning, it is important first of all for learner to take active learning and be interested in learning, not cramming education. Due to this background, the instructor sometimes takes advantage of the game concepts in producing the courseware for vocabulary learning. But because of overwhelming overload in making the game-based courseware, it have been not made practical application to vocabulary learning. In this research, we study on the strategy for making practical application of the game concept to producing the courseware for vocabulary learning. And, based on the strategy, we design and implement the authoring tool of courseware for vocabulary learning based on crossword puzzle game. This tool enables instructor to produce the courseware based on crossword puzzle game easily and quickly and to make efficiently the courseware for vocabulary learning with level.

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