• The Journal of the Korea Contents Association
• /
• v.19 no.8
• /
• pp.598-608
• /
• 2019

This study provided the analysis of the culinary arts students' subjectivity in problem based learning(PBL) program for culinary competition. Q methodology was employed for finding common characteristic of among students' opinion and also future suggestion was generated. The study found four different types of common structures. First one is Problem-Solving Ability Type(N=6), the second one is Team Member Collaboration Important Type(N=8), The third one is Self-Directed Learning Needed Type(N=3), and the last one is Employment Preparation Type(N=2). Through the analysis, students aware this particular PBL program as a problem solving skill development, understanding of coworking in group, importance of self directed learning, and preparation for securing job opportunity. The study also suggest that the educator need to perform as a negotiator in coworking process within group members and need to have an active approach on stimulation of study motivation among the students.

• Communications of Mathematical Education
• /
• v.24 no.1
• /
• pp.259-282
• /
• 2010

In this paper, we introduce a modified Moore Method designed for the multivariable calculus course, and discuss about the effective teaching and learning method by observing the changes in the understanding of students' learning and the effects on students' learning in the class implemented by this modified Moore Method. This teaching experiment research was conducted with the 15 students who took the multivariable calculus course offered as a 3 week summer session in 2008 at H University. To guide the students' active preparation, stepwise course materials structured in the form of questions on the important mathematical notions were provided to the students in advance. We observed the process of the students' small-group collaborative learning activities and their presentations in the class, and analysed the students' class journals collected at the end of every lecture and the survey carried out at the end of the course. The analysis of these results show that the students have come to recognize that a deeper understanding of the subjects are possible through their active process of search and discovery, and the discussion among the peers and teaching each other allowed a variety of learning experiences and reflective thinking.

• 한국정보교육학회:학술대회논문집
• /
• 2007.01a
• /
• pp.209-216
• /
• 2007

고도의 지식정보사회 속에서 논리적 사고력과 창의력, 문제해결력을 길러주는 프로그래밍 교육의 필요성은 더욱 강조되고 있다. 이에 본 연구에서는 초등학생들에게 적합한 교육용 프로그래밍 언어인 JavaMAL을 활용하여, 프로그래밍의 함수개념 형성을 위한 학습모형을 구안 적용하고 일반화 가능성을 탐색하고자 하였다. 먼저 기초적인 프로그래밍 요소 중 함수개념과 관련된 학습요소를 추출하여 차시별 지도계획을 수립하였다. 또한, 프로그래밍의 함수가 수학적 함수의 모방이라는 것에 착안하여 수학의 '규칙성과 함수'지도 단계를 LOGO의 문제해결력 수업모형인 안내된 발견식 교수법(guided discovery teaching method)에 강화한 후, 인터넷을 활용한 문제해결 수업모형을 구안하였다. 기본명령어와 변수개념을 이미 익힌 계발활동 부서 6학년 아동들을 지도 대상으로 한 달간 웹 기반 JavaMAL 환경에서 학습할 수 있도록 하였으며, 게시판 활동 및 활동지를 통해 함수개념 형성 여부를 측정하였다.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.1
• /
• pp.530-536
• /
• 2017

The purpose of this study is to specify the procedures in problem design to employ BPBL and to design problems for learning subject content. The design of problems is crucial for the effectiveness of BPBL. Ineffective PBL problems could affect whether students acquire sufficient domain knowledge, activate appropriate prior knowledge, and properly direct their own learning. The procedures for designing good problems are composed of selection of educational content, figuring out the learner's characteristics, finding problems, setting roles and situations, and writing down problems. Using the procedures, we designed five integration problems covering the content of an Internet marketing subject. We can foster talent needed on a current industrial site with BPBL, not whole-class learning in a Mongolian engineering college. We made a plan for the Internet marketing subject based on BPBL in the Mongolian engineering college, and focused on the process of designing problems.

• School Mathematics
• /
• v.18 no.4
• /
• pp.839-856
• /
• 2016

In 2009 revision and 2015 revision mathematics national curriculum, 'proof' was moved to high school from middle school in consideration of the cognitive development level of students, and 'proof by contradiction' was stated in the "success criteria of learning contents" of the first year high school subject while it had been not officially introduced in $7^{th}$ and 2007 revision national curriculum. Proof by contradiction is known that it induces a cognitive conflict due to the unique nature of rather assuming the opposite of the statement for proving it. In this article, based on the logical, mathematical and historical analysis of Proof by contradiction, we looked about the introductions and the applications of the current textbooks which had been revised recently, and searched for improvement measures from the viewpoint of discovery, explanation, and consilience. We suggested introducing Proof by contradiction after describing the discovery process earlier, separately but organically describing parts necessary to assume the opposite and parts not necessary, disclosing the relationships with proof by contrapositive, and using the viewpoint of consilience.

• Journal of Digital Contents Society
• /
• v.17 no.6
• /
• pp.509-521
• /
• 2016

A novel Samples Balanced Genetic Algorithm combined with Extreme Learning Machine (SBGA-ELM) for Parkinson's Disease diagnosis and detecting bio-markers is presented in this paper. Proposed approach uses genes' expression data of 22,283 genes from open source ParkDB data base for accurate PD diagnosis and detecting bio-markers. Proposed SBGA-ELM includes two major steps: feature (genes) selection and classification. Feature selection procedure is based on proposed Samples Balanced Genetic Algorithm designed specifically for genes expression data from ParkDB. Proposed SBGA searches a robust subset of genes among 22,283 genes available in ParkDB for further analysis. In the "classification" step chosen set of genes is used to train an Extreme Learning Machine (ELM) classifier for an accurate PD diagnosis. Discovered robust subset of genes creates ELM classifier with stable generalization performance for PD diagnosis. In this research the robust subset of genes is also used to discover 24 bio-markers probably responsible for Parkinson's Disease. Discovered robust subset of genes was verified by using existing PD diagnosis approaches such as SVM and PBL-McRBFN. Both tested methods caused maximum generalization performance.

• Journal of Educational Research in Mathematics
• /
• v.27 no.2
• /
• pp.171-189
• /
• 2017

By designing and applying the lesson helping to discover the power laws, we tried to investigate the characteristics on the class. To do this, we designed a discovery lesson on the power laws and applied to 54 8th grade students. As results, we could observe the overproduction of monotonous laws, tendency to vary the type of development and increase error to students without prior learning experience, and various errors. All participants failed to express the generalization of $a^m{\div}a^n$ and some participants expressed an incomplete generalization using variables partially for the base or power. We could also observe an error of limited generality or a representation error which did not use the equal sign or variables. In the survey of students, there were two contradictory positions to appeal to the enjoyment of the creation and to talk about the difficulty of creation. Based on such results, we discussed the pedagogical implications relating to the discovery of power laws.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.4
• /
• pp.33-38
• /
• 2020

Problem development is important to Problem-Based Learning (PBL) and is key to the creativity and problem-solving skills of successful learners. The purpose of this study is to have PBL classes that effectively materialize problem development stages, and to develop learning using problems suitable for elementary school English Science classes. In this study, the steps for developing the problems are identifying educational content, identifying learners' characteristics, discovering problems, setting up roles and situations, and writing problems. Based on these steps, five PBL problems were developed by selecting a subject suitable for the PBL method of an English Science class, which is one of the English curriculums in elementary schools. Creative thinking, problem-solving skills, presentation skills, confidence, self-directed learning, cooperation, and communication skills are required in the rapidly changing society of the 21st century, rather than teacher-centered instruction, acquiring knowledge for correct answers only, and uniform assessments, which still take place in many English education settings. Therefore, developing problems suitable for PBL learning should be continuously studied.

• Journal of the Korea Society of Computer and Information
• /
• v.14 no.11
• /
• pp.247-256
• /
• 2009

The purpose of this study is to compare the impact of intellectual quotient and social intelligence on compliance with the administrative regulatory policies. This study found two things. The first one is the correlation between intellectual quotient and social intelligence is not so high. No matter how high is his or her intellectual quotient may be, it cannot be said that his or her social intelligence will be high in proportion to IQ. The second one is the influence of social intelligence on administrative regulatory policies is bigger than that of intellectual quotient. So to execute a policy efficiently, we cannot succeed without consideration to the factors of social intelligence. The result of analysis implies that policy authorities and the concerned citizens should try to get the social intelligence factors involved in all processes of administrative regulatory policies such as agenda setting, decision, implementation, evaluation and feedback.

• Annual Conference on Human and Language Technology
• /
• 1999.10d
• /
• pp.117-122
• /
• 1999

본 연구는 형태소 분석에 필요한 언어 지식과 품사 태깅에 필요한 확률 정보를 별도의 언어 지식 추가 없이 학습 말뭉치를 통해서 얻어내는 방법을 제안한다. 먼저 품사 부착된 학습 말뭉치로부터 형태소 사전과 결합 정보를 추출한다. 그리고 자주 발생하는 어절 및 해석상 모호성이 많은 어절에 대해서는 학습 말뭉치에서 발견된 형태소 분석 결과를 저장하여 형태소 분석에 소요되는 시간과 형태소 분석의 정확률을 높인다. 또한 미등록어의 많은 부분을 차지하는 인명, 지명, 조직명에 대해서는 정보 추출 분야에서 사용하는 고유 명사 분류법으로 해결한다. 품사 태깅을 위해서는 품사열 정보와 품사열 정보로는 해결할 수 없는 경우를 위한 어휘 정보를 학습 말뭉치에서 추출한다. 품사열 정보와 어휘 정보는 정형화 과정을 거쳐 최대 엔트로피 모델의 자질로 사용되어 품사 태깅 시스템을 위한 확률 분포를 구성한다. 본 연구에서 제안하는 방법은 학습 말뭉치를 기반으로 한다는 특성에 의해 다양한 영역에 사용하기 쉽다. 또한 어휘 정보로 품사 문맥 정보를 보완하기 때문에 품사 분류 체계와 형태소 해석 규칙에 영향을 적게 받는다는 장점을 가진다. MATEC '99 데이터 실험 결과 형태소 단위로 94%의 재현률과 93%의 정확률을 얻을 수 있었다.