• 제목/요약/키워드: Figure Learning

검색결과 242건 처리시간 0.024초

문제중심학습(Problem-Based Learning)을 적용한 비주얼베이식(VisualBasic) 프로그래밍 학습의 사례 연구 (A Case Study of VisualBasic Programming Learning based on Problem-Based Learning)

  • 손경아
    • 컴퓨터교육학회논문지
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    • 제5권1호
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    • pp.17-25
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    • 2002
  • 학습자중심의 문제중심 학습이 정보산업고등학교 프로그래밍 교과에 적용되는 과정을 알아보기 위해 사례연구를 실시하였다. 프로그래밍 학습은 프로그램을 사용하는 목적과 적용하는 문제상황에 따라 학습해야할 기능과 기법이 매우 다양하고 복잡하므로 학습의 맥락에 따라 적합한 문제를 제공하는 것이 중요하기 때문에 학습자가 비주얼베이식 프로그램으로 퀴즈문제를 개발하는 학습내용을 선정하였다. 개발과정에서 학습자는 다양한 사례를 토대로 문제를 작성하고 개발에 필요한 프로그램 기능을 선택하여 협동학습을 통해 문제를 해결하였고 동료평가와 모둠별 평가를 실시하였다. 학습 후 실시한 서술식 설문조사 결과 학습자들은 자신의 학습 상태를 명확히 파악할 수 있었고 학습태도와 참여가 높아져 만족감과 자신감이 증가하였으며 협동학습을 통해 다양한 경험을 할 수 있었다고 하였다.

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중학생의 수학학습양식 선호유형의 범주화와 학습 특성 비교 (Categorization of Middle school students' Math Learning Style Preferences and Comparison of Academic Characteristics)

  • 백희수
    • 대한수학교육학회지:학교수학
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    • 제15권1호
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    • pp.15-35
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    • 2013
  • 본 연구의 목적은 중학생용 수학학습양식 판별도구를 개발하여 선호유형을 범주화하는 것이다. 개발된 수학학습양식 판별도구로 976명의 중학생을 대상으로 설문조사하여 16가지의 수학학습양식 유형이 존재하는지를 확인하였고 이를 선행 연구들과 비교 분석하였다. 또한 수학학습양식의 각 요인에 따른 양식별 남녀 학습자, 학년별 학습자의 분포에 어떠한 차이가 있는지 분석하였다. 수학학습양식 판별도구를 통해서 학습자의 인지적 정의적 학습양식을 파악함으로써 수학학습에 대한 학습자 특성을 전체적으로 파악하여 획일화된 수업형태에서 벗어나 개별화 수업으로 나아갈 수 있는 방향을 제시하고자 한다.

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An Application of Problem Based Learning to an Earth Science Course in Higher Education

  • Kwon, Byung-Doo;Kim, Kyung-Jin
    • 한국지구과학회지
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    • 제24권2호
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    • pp.108-116
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    • 2003
  • Problem Based Learning (PBL) is one of methods which has been developed to promote student-centered learning and to pursue self-directed learning for life-long learning. The purpose of this study is exploring the possibility of Problem Based Learning (PBL) in college Earth science course. The participants of this study were fourteen students attending an Earth science class at Sookmyung Women's University in Seoul. PBL was implemented in the form of group project with utilizing Web-based course tool. We provided questionnaires and conducted interviews to figure out students' perception about PBL. The findings were as follows: Through a given experiences, (1) students participated more actively than LBL (Lecture Based Learning), (2) more students were engaged with self-directed learning, and (3) students made higher cognitive efforts. LBL seemed to be more efficient way to acquire factual knowledge. In the meanwhile, PBL did not seem to affect the improvement of communication skills. Students could not make use of Web-based course tool effectively in communicating with other team members. In this study, we found that college student participants preferred problems related to everyday life, environmental issues and interesting but unusual incidents. On the other hand, they felt difficult in open-ended problems, especially when they were asked to provide their own evaluation. On the basis of PBL experiment in this paper, we present one method of successful implementation of PBL and suggest topics which should be studied in the future.

컴퓨터 환경에서 초등학교 기하 지도에 관한 고찰 (A Study on the Teaching Elementary Geometry Using the Computer)

  • 이종영
    • 대한수학교육학회지:수학교육학연구
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    • 제11권1호
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    • pp.89-102
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    • 2001
  • Computer has been regarded as an alternative that could overcome the difficulties in the teaching and learning of mathematics. But the didactical problems of the computer-based environment for mathematics education could give us new obstacles. In this paper, first of all, we examined the application of the learning theories of mathematics to the computer environment. If the feedbacks of the computer are too immediate, students would have less opportunity to reflect on their thinking and focus their attention on the visual aspects, which leads to the simple abstraction rather than the reflective abstraction. We also examined some other Problems related to cognitive obstacle to learn the concepts of geometric figure and the geometric knowledge. Based on the analysis on the problems related to the computer-based environment of mathematics teaching and learning, we tried to find out the direction to use computer more adequately in teaching and learning geometry.

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상황학습을 통한 과학 도슨트의 전문성 연구 (The Study of Science Docents' Expertise through Situated Learning)

  • 박영신
    • 대한지구과학교육학회지
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    • 제8권1호
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    • pp.98-113
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    • 2015
  • The purpose of this study was to explore how science docents developed their expertise in the context of situated learning where two experienced docents played roles of mentors. Two experienced docents as mentors and six participating docents as mentees interacted in the community to develop exhibition interpretation strategies to be more professional in interacting with visitors through the workshops developed by the researcher. To figure out how docents developed their expertise in exhibit interpretation, the researcher collected the data from docents through observation, artifacts, and interviews as well as surveys. The result of this study included that participating docents formed new perception about scientific inquiry as well as scientific literacy and they developed professional skills of planning, implementing, and reflecting of exhibition interpretation in the context of situated learning, where docents formed alliance one another. It is recognized that participating docents' passions to be professional in exhibition interpretation and two experienced docents' wills as mentors made dynamic interaction in pursuing the same aim of docents' expertise in exhibition interpretation.

센서 네트워크에서 기계학습을 사용한 잔류 전력 추정 방안 (A Residual Power Estimation Scheme Using Machine Learning in Wireless Sensor Networks)

  • 배시규
    • 한국멀티미디어학회논문지
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    • 제24권1호
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    • pp.67-74
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    • 2021
  • As IoT(Internet Of Things) devices like a smart sensor have constrained power sources, a power strategy is critical in WSN(Wireless Sensor Networks). Therefore, it is necessary to figure out the residual power of each sensor node for managing power strategies in WSN, which, however, requires additional data transmission, leading to more power consumption. In this paper, a residual power estimation method was proposed, which uses ignorantly small amount of power consumption in the resource-constrained wireless networks including WSN. A residual power prediction is possible with the least data transmission by using Machine Learning method with some training data in this proposal. The performance of the proposed scheme was evaluated by machine learning method, simulation, and analysis.

공간능력, 시지각 회상 능력, 학습양식에 따른 지구와 달의 운동 개념 (Concepts on Motion of Earth and Moon to Spatial Ability, Visual-Perception-Recall Ability, Learning Styles)

  • 김봉섭;정진우;양일호;정지숙
    • 한국초등과학교육학회지:초등과학교육
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    • 제17권2호
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    • pp.103-111
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    • 1998
  • The purpose of this study was to investigate the relationship among spatial ability, learning styles, visual-perception- recall abiltiy, and the conceptual construction of the earth and moon's motion. Four paper-and-pencil tests were used to measure students' cognitive variables. Spatial ability was measured by Spatial Visualization Test, visual-perception-recall ability was measured by Rey's Figure which also have used to test visual- perception-recall ability of right-temporal lobes, and VVT were used to investigate students' learning styles. further, the test of concept construction was consisted of 15 items about the earth and moon's motion developed by researcher One hundred and twenty-seven 6th-, one hundred and sixteen 7th-, eighty-seven 9th-grade, ninety-three college students were participated in the investigation of the effects of age and learning style on conceptual construction. In the analysis of students' performances, spatial ability, visual-perception-recall ability, and conceptual achievement showed an increasing pattern with grading. In addition, visual learner's conceptual achievement showed a significantly higher score on conceptual test than verbal learner's(p<0.05). The results of the present study supported tile hypothesis that learning styles would differently influence to learning atmospheric concepts by students'learning styles. This study also indicated to be considered the students' spatial ability in learning atmospheric concepts.

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중학생을 대상으로 한 대수 문장제 해결에서의 유추적 전이 (Middle School Students' Analogical Transfer in Algebra Word Problem Solving)

  • 이종희;김진화;김선희
    • 한국수학교육학회지시리즈A:수학교육
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    • 제42권3호
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    • pp.353-368
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    • 2003
  • Analogy, based on a similarity, is to infer the properties of the similar object from properties of an object. It can be a very useful thinking tool for learning mathematical patterns and laws, noticing on relational properties among various situations. The purpose of this study, when manipulating hint condition, figure and table conditions and the amount of original learning by using algebra word problems, is to verify the effects of analogical transfer in solving equivalent, isomorphic and similar problems according to the similarity of source problems and target ones. Five study questions were set up for the above purpose. It was 354 first grade students of S and G middle schools in Seoul that were experimented for this study. The data was processed by MANOVA analysis of statistical program, SPSS 10.0. The results of this studies would indicate that most of the students would be poor at solving isomorphic and similar problems in the performance of analogical transfer according to the similarity of source and target problems. Hints, figure and table conditions did not facilitate the analogical transfer. Merely, on the condition that amount of teaming was increased, analogical transfer of the students was facilitated. Therefore, it is necessary to have students do much more analogical problem-solving experience to improve their analogical reasoning ability through the instruction program development in the educational fields.

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암 환자를 위한 앱 기반의 인지건강훈련 프로그램의 개발 (Development of Mobile-application based Cognitive Training Program for Cancer Survivors with Cognitive Complaints)

  • 오복자;윤정혜;김지현
    • 성인간호학회지
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    • 제29권3호
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    • pp.266-277
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    • 2017
  • Purpose: The purpose of this study was to design a mobile-application of a cognitive training program for people who have chemo-related cognitive complaints. Methods: The program was developed based on the network-based instructional system design proposed by Jung. The program consisted of several tasks centered on four cognitive domains: learning, memory, working memory, and attention. For memory learning, a target-image and all its elements (color, position, and number) were presented on the screen that had to be recognized among a number of distractor-figures. In working memory training, the previous learned target-figure according to the level of difficulty had to be remembered among many different figures. In attention training named "Find the same figure," two identical symbols in a grid-pattern filled with different images were presented on the screen, and these had to be simultaneously touched. In attention training named "Find the different figure," a different symbol in a grid pattern filled with same figures had to be selected. This program was developed to train for a minimum of 20 min/day, four days/week for six weeks. Results: This cognitive training revealed statistically significant improvement in subjective cognitive impairments (t=3.88, p=.006) at six weeks in eight cancer survivors. Conclusion: This cognitive training program is expected to offer individualized training opportunities for improving cognitive function and further research is needed to test the effect in various settings.

FIGURE ALPHABET HYPOTHESIS INSPIRED NEURAL NETWORK RECOGNITION MODEL

  • Ohira, Ryoji;Saiki, Kenji;Nagao, Tomoharu
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2009년도 IWAIT
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    • pp.547-550
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    • 2009
  • The object recognition mechanism of human being is not well understood yet. On research of animal experiment using an ape, however, neurons that respond to simple shape (e.g. circle, triangle, square and so on) were found. And Hypothesis has been set up as human being may recognize object as combination of such simple shapes. That mechanism is called Figure Alphabet Hypothesis, and those simple shapes are called Figure Alphabet. As one way to research object recognition algorithm, we focused attention to this Figure Alphabet Hypothesis. Getting idea from it, we proposed the feature extraction algorithm for object recognition. In this paper, we described recognition of binarized images of multifont alphabet characters by the recognition model which combined three-layered neural network in the feature extraction algorithm. First of all, we calculated the difference between the learning image data set and the template by the feature extraction algorithm. The computed finite difference is a feature quantity of the feature extraction algorithm. We had it input the feature quantity to the neural network model and learn by backpropagation (BP method). We had the recognition model recognize the unknown image data set and found the correct answer rate. To estimate the performance of the contriving recognition model, we had the unknown image data set recognized by a conventional neural network. As a result, the contriving recognition model showed a higher correct answer rate than a conventional neural network model. Therefore the validity of the contriving recognition model could be proved. We'll plan the research a recognition of natural image by the contriving recognition model in the future.

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