• Title/Summary/Keyword: algorithmic teaching

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Comparative Analysis of Conceptual and Algorithmic Problem Solving Ability on Boyle's Law and Charles's Law in Middle School 1st Grade Students (보일의 법칙과 샤를의 법칙에 대한 중학교 1학년 학생들의 개념 문제 해결력과 수리 문제 해결력 비교 분석)

  • Park, Jin-Sun;Kim, Dong-Jin;Park, Se-Yeol;Hwang, Hyun-Sook;Park, Kuk-Tae
    • Journal of the Korean Chemical Society
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    • v.55 no.6
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    • pp.1042-1055
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    • 2011
  • The purpose of this study was to compare the conceptual and algorithmic problem solving ability on Boyle's law and Charles's law according to cognitive levels and characteristics of students in middle school 1st grade students. For this study, questionnaire items of conceptual and algorithmic problem solving ability were developed. and the problem solving ability according to cognitive levels and characteristics of students was compared. The long-term memory effect in conceptual and algorithmic problem solving ability according to cognitive levels was investigated, and problem solving process were analyzed by questionnaire items. In the results of this study, conceptual problem solving ability was higher than algorithmic problem solving ability in all cognitive levels. There was statistically significant difference in concrete operational period and transitional period students. In comparison of the long-term memory effect in conceptual and algorithmic problem solving ability, formal operational period students had the long-term memory effect. There was no statistically significant difference in the conceptual and algorithmic problem solving ability according to private education among the characteristics of students. But there was statistically significant difference in the problem solving ability according to experiences of the scientific activities and hopes to related scientific careers. From results of analysis of problem solving process, it is known that the students had a tendency to just remember macroscopic phenomena and to solve the problems without understanding the concepts. Therefore, teaching and learning strategy is necessary to replace unscientific concepts by the scientific concepts through identifying students's unscientific concepts in advance.

Development of Integrated Elementary Computing.Mathematics Teaching.Learning Methods for Enhancement of Algorithmic Thinking Problem-solving Abilities (알고리즘적 사고력 향상을 위한 초등 컴퓨터과-수학과통합 교수.학습 방법의 개발 및 분석)

  • Chae, Song-Hwa;Hur, Kyeong
    • 한국정보교육학회:학술대회논문집
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    • 2009.08a
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    • pp.73-78
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    • 2009
  • 본 논문은 초등정보교육과정의 "문제해결방법과 절차" 영역에 필요한 알고리즘적 사고를 향상시키고자 초등 컴퓨터과와 수학과를 통합한 교수 학습 과정을 연구하고 적용하였다. 그리고 연구한 교수 학습과정을 적용한 실험군과 적용하지 않은 통제군을 비교하여 알고리즘적 사고력의 향상도, 통합된 교수 학습과정의 효과성에 대한 분석을 통해 본 논문에서 적용한 초등 컴퓨터과-수학과를 통합한 교수 학습 방법이 문제해결과정 구성 능력에 해당하는 알고리즘적 사고력 향상에 효과가 있는지 검증 및 분석하였다.

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Character Recognition Based on Adaptive Statistical Learning Algorithm

  • K.C. Koh;Park, H.J.;Kim, J.S.;K. Koh;H.S. Cho
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.109.2-109
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    • 2001
  • In the PCB assembly lines, as components become more complex and smaller, the conventional inspection method using traditional ICT and function test show their limitations in application. The automatic optical inspection(AOI) gradually becomes the alternative in the PCB assembly line. In Particular, the PCB inspection machines need more reliable and flexible object recognition algorithms for high inspection accuracy. The conventional AOI machines use the algorithmic approaches such as template matching, Fourier analysis, edge analysis, geometric feature recognition or optical character recognition (OCR), which mostly require much of teaching time and expertise of human operators. To solve this problem, in this paper, a statistical learning based part recognition method is proposed. The performance of the ...

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Developing Pre-service Teachers' Computational Thinking : Analysis of the Five Core CT Competencies (예비교원의 Computational Thinking(CT) 역량 계발 방안 : CT의 5가지 핵심 역량 분석)

  • Choi, Hyungshin
    • Journal of The Korean Association of Information Education
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    • v.20 no.6
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    • pp.553-562
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    • 2016
  • Although software education pursues developing learners' computational thinking skills, more studies are needed in terms of designing software education lessons to enhance CT skills and to measure the effects of the lessons. This study aims to investigate the effects of a course designed to enhance pre-service teachers' CT skills by using CT-based teaching materials. Through a literature review the study has selected the five core competencies of CT: algorithmic thinking, evaluation, problem decompositions, abstraction, and generalization. The participants of the study are 47 pre-service teachers who took the one-semester course in a national university of education. A survey was developed and conducted and qualitative analyses on the team projects were performed focusing on the core competencies of CT. The results revealed pre-service teachers' perceived degree of experiencing CT and their competencies represented in their projects. The present study provides important implications to future software education programs in terms of designing and implementing of software education.

On the Direction of the Computer Algorithm Education Based on Conceptual Algorithms (개념적 알고리즘에 기반 한 컴퓨터 알고리즘 교육의 방향)

  • Moon, Gyo-Sik
    • Journal of The Korean Association of Information Education
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    • v.11 no.1
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    • pp.29-38
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    • 2007
  • Computer programming in computer education draws much attention recently. Encouraged by the increased tendency of acquiring logical ability and creativity through learning, various attempts have been made to develop them through learning computer programming in the area of computer education as well. The fact that a computer program is the representation of a computer algorithm expressed in a computer language makes us realize that the devise of a logical method for a solution - i.e., the design of an algorithm - is the key to the solution of a problem. Recognizing the importance of computer algorithm would lead us to such a point that systematic investigations for directional establishment for algorithm education are necessary. We observe that researches on teaching computer algorithm have concentrated mostly on specific problems such as sorting and searching, which can be characterized as problem-dependent and individual. In this paper, the idea of conceptual algorithm is stated from the standpoint of conceptual types of problem-solving methods which are considered as problem-independent and collective. A novice approach to algorithm education based on the characteristics of types of conceptual algorithms is proposed for the purpose of developing systematic, problem-independent, algorithmic problem-solving capabilities of learners, which is widely different from the current methods of individual and problem-dependent algorithm education.

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Design and Implementation of Data Sorting Contents Using LAMS (LAMS를 이용한 자료 정렬 콘텐츠 설계 및 구현)

  • Lee, Mi Sook;Lee, Seok Jae;Cho, Ja Yeon;Yoo, Jae Soo;Yoo, Kwan Hee
    • Proceedings of the Korea Contents Association Conference
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    • 2007.11a
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    • pp.903-907
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    • 2007
  • The aim of this paper is to help learners develop algorithmic thinking skill to solve a problem using LAMS and to draw their interest in learning through various learning activities to solve it. LAMS has the advantages of easy teaching contents' design and implementation and of an offer of sequential learning under various learning environments. The designed contents were applied to elementary school students' learning and a questionnaire survey was conducted. They showed positive responses, on the one hand, they hoped that various kinds of learning would be provided including not only data sorting but also technical contents related to computer. For further study, it is necessary to revise and supplement conceptual principals or contents of computer education in elementary and junior high schools.

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The Effect of Anchored Instruction on Elementary School Students' Problem-solving in Algorithm Learning (앵커드 수업을 통한 알고리즘 학습이 초등학생의 문제해결력에 미치는 영향)

  • Choi, Seo-Kyung;Kim, Yung-Sik
    • The Journal of Korean Association of Computer Education
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    • v.15 no.3
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    • pp.1-10
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    • 2012
  • The flow of computer education in modern knowledge and information society contains the computer science courses to cultivate the higher-level thinking abilities such as logical thinking skills, creativity, and problem-solving ability of learners. The purpose of this study is to recognize the need to promote the algorithmic thinking power to improve the problem solving ability of learners, to design the algorithm class based on the anchored instruction strategy for elementary school students and to verify the effectiveness. Anchored instruction model and cases are added to the class. Elementary school students were subjects and divided into a control group in which the traditional algorithm teaching method was conducted and an experimental group in which algorithm class was conducted applying anchored instruction. As results, an experimental group has shown improvements on problem solving compared to a control group.

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A Research on Education of Computer Algorithm for the Development of Creativity for Gifted Elementary Students in Computer Science (초등 정보영재의 창의성 개발을 위한 컴퓨터 알고리즘 교육에 대한 연구)

  • Gyo, Sik-Moon
    • Journal of the Korea Computer Industry Society
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    • v.9 no.5
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    • pp.197-206
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    • 2008
  • Gifted education has drawn much attention in education in recent years and gifted education in computers in elementary education has been emerged as well throughout the country. Now computer algorithm education is considered as a core subject in the area because computer algorithm is the essence of computer technology on which information society relies technically, and also it provides theoretical basis for problem solving using computers. And we observe that fostering learner's creativity is crucial in learning computer algorithms because problem solving requires creativity in general. In the paper, we discuss the procedure to foster learner's creative problem solving ability which would greatly help students learn computer algorithms, and then we discuss how we can make algorithmic ideas into reality. Furthermore, we note that an appropriate level education is necessary for better results for outstanding students in the program, and lastly we propose ideas to improve current gifted elementary education in computers. The content of the paper is largely originated from experiences of teaching gifted elementary students conducted by a local university and sponsored by its municipal government for six years.

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An educational analysis on ratio concept (비 개념에 대한 교육적 분석)

  • 정은실
    • Journal of Educational Research in Mathematics
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    • v.13 no.3
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    • pp.247-265
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    • 2003
  • The purpose of this study is to analyze the essence of ratio concept from educational viewpoint. For this purpose, it was tried to examine contents and organizations of the recent teaching of ratio concept in elementary school text of Korea from ‘Syllabus Period’ to ‘the 7th Curriculum Period’ In these text most ratio problems were numerically and algorithmically approached. So the Wiskobas programme was introduced, in which the focal point was not on mathematics as a closed system but on the activity, on the process of mathematization and the subject ‘ratio’ was assigned an important place. There are some educational implications of this study which needs to be mentioned. First, the programme for developing proportional reasoning should be introduced early Many students have a substantial amount of prior knowledge of proportional reasoning. Second, conventional symbol and algorithmic method should be introduced after students have had the opportunity to go through many experiences in intuitive and conceptual way. Third, context problems and real-life situations should be required both to constitute and to apply ratio concept. While working on contort problems the students can develop proportional reasoning and understanding. Fourth, In order to assist student's learning process of ratio concept, visual models have to recommend to use.

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Analysis on the Changes of Choices according to the Conditions in the Realistic Probability Problem of the Elementary Gifted Students (확률 판단 문제에서 초등 수학영재들의 선택에 미친 요인 분석과 교육적 시사점)

  • Lee, Seung Eun;Song, Sang Hun
    • School Mathematics
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    • v.15 no.3
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    • pp.603-617
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    • 2013
  • The major purpose of this article is to examine what kind of gap exists between mathematically gifted students' probability knowledge and the reality actually applying that knowledge and then analyze the cause of the gap. To attain the goal, 23 elementary mathematically gifted students at the highest level from G region were provided with problem situations internalizing a probability and expectation, and the problems are in series in which conditions change one by one. The study task is in a gaming situation where there can be the most reasonable answer mathematically, but the choice may differ by how much they consider a certain condition. To collect data, the students' individual worksheets are collected, and all the class procedures are recorded with a camcorder, and the researcher writes a class observation report. The biggest reason why the students do not make a decision solely based on their own mathematical knowledge is because of 'impracticality', one of the properties of probability, that in reality, all things are not realized according to the mathematical calculation and are impossible to be anticipated and also their own psychological disposition to 'avoid loss' about their entry fee paid. In order to provide desirable probability education, we should not be limited to having learners master probability knowledge included in the textbook by solving the problems based on algorithmic knowledge but provide them with plenty of experience to apply probabilistic inference with which they should make their own choice in diverse situations having context.

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