• 한국과학교육학회지
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• 제18권2호
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• pp.161-171
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• 1998

본 연구에서는 입자수준의 애니메이션을 이용한 컴퓨터 보조수업 프로그램을 개발 적용하여 학습자의 개념 이해도, 과학 수업에 대한 태도, 학습동기에 미치는 효과를 분석하였다. 본 연구는 서울 시내 여자 중학교 2학년 2개 학급을 대상으로 '분자와 운동' 단원에 대하여 5차시 동안 실시되었다. 수업 처치 전에 GALT와 사전 학습동기 검사를 실시하고, 중간고사 과학 과목 성적을 조사하였다. GALT 점수는 구획변인으로 사용하였으며, 사전 학습동기 검사와 중간고사 과학 과목 성적을 공변인으로 사용하였다. 수업 처치 후, 개념 검사, 과학수업에 대한 태도 검사, 사후 학습동기 검사를 실시하였고, 처치 집단에 대하여 컴퓨터 보조수업에 대한 인식을 조사하였다. 연구 결과, 컴퓨터 보조수업 집단 학생들이 전통적 학습 집단에 비하여 분자의 운동성에 대한 오개념이 적었으나, 개념 이해도 측면에서 두 집단간에 유의미한 차이는 없었다. 그러나, 컴퓨터 보조수업이 과학 수업에 대한 태도와 학습동기에는 효과적이었다(p<.01). 학생들은 컴퓨터 보조수업에 대하여 전반적으로 긍정적으로 인식하였으나, 몇몇 학생들은 어수선한 수업 분위기를 지적하였으며, 화면에 제시된 일부 내용은 어려웠다고 답하였다.

• 한국학교수학회논문집
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• 제9권1호
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• pp.1-17
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• 2006

현재 학교수학이 추구하는 목표는 수학의 기본적인 지식과 기능을 습득하고 수학적으로 사고하는 능력을 길러 실생활의 여러 가지 문제를 합리적으로 해결할 수 있는 능력과 태도를 기르는 것이다. 이에 부합하기 위해서 본 연구는 협동학습 모델 중 개별화 학습프로그램이 큰 장점인 TAI 모델과 특별한 소집단 성적 산출로 인해 모든 소집단 구성원이 소집단 성공에 기여할 수 있다는 장점을 가지고 있는 STAD 모델을 혼합하여 새로운 모델을 제시하였다. 이 새로운 혼합모델을 학교 현장에 적용하여 학습자의 문제해결능력 및 정의적 영역에 있어서 어떤 영향을 주는지 알아보았다.

• 대한원격탐사학회지
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• 제38권6_2호
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• pp.1589-1605
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• 2022

위상 언래핑은 위성레이더 간섭기법의 필수적인 자료처리 절차다. 이에 따라 비 딥러닝 기반 언래핑 기법이 다수 개발되었으며 최근에는 딥러닝 기반 언래핑 기법이 제안되고 있다. 본 논문에서는 딥러닝 기반 위성레이더 언래핑 기법을 1) 언래핑된 위상의 예측 방법, 2) 위상 언래핑을 위한 딥러닝 모델의 구조 그리고 3) 학습데이터 제작 방법의 측면에서 최근 연구 동향을 소개하였다. 언래핑된 위상을 예측하는 방법은 모호 정수 분류방법, 위상 단절 구간 탐지 방법, 위상 예측 방법, 딥러닝과 전통적인 언래핑 기법의 연계 방법에 따라 다시 세분화하여 연구 동향을 나타냈다. 일반적으로 활용되는 딥러닝 모델 구조의 특징과 전체 위상 정보를 파악하기 위한 모델 최적화 방법에 대한 연구 사례를 소개하였다. 또한 학습데이터 제작 방법은 주로 위상 변이 제작과 노이즈 시뮬레이션 방법으로 구분하여 연구 동향을 정리하였으며 추후 발전 방향을 제시하였다. 본 논문이 추후 국내의 딥러닝 기반 위상 언래핑 연구의 발전 방향을 모색하는 데에 필요한 기반 자료로 활용되기를 기대한다.

• International Journal of Contents
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• 제8권2호
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• pp.36-42
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• 2012

This study was conducted to develop Web-based multimedia content that assists undergraduate students in a clinical practicum on adult nursing. The study examined whether students in the intervention group could obtain clinical knowledge and perform more effectively when encouraged to learn Web content as compared with students in the conventional group. Web-based multimedia content consisting of 13 learning modules was developed based on real patients' scenarios through collaboration among college professors. A total of 120 nursing students (74 for the intervention and 46 for the conventional groups) from two universities in G-city, who engaged in a 3-week long clinical practicum in the digestive and respiratory units of a university hospital, participated in the study. Students' knowledge, self-directed learning, and clinical performance ability were measured using self-administered questionnaires. Data for pre- and posttests were collected over a 2-month period, between May and June of 2009. Clinical knowledge and self-reported clinical performance scores were significantly higher in students using the Web-enhanced clinical practicum than in those in the conventional group. However, there was no significant difference in self-directed learning ability between the 2 groups. These results demonstrate that Web-based multimedia content can be an effective educational tool for enhancing students' clinical knowledge and performance.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2015년도 추계학술대회
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• pp.233-236
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• 2015

전 세계 해기교육기관에서 해사영어(Maritime English, ME)를 가르치고 있는 교원들이 모여 매년 개최하는 IMEC (International Maritime English Conference)을 소개하고, 2015년에 개최된 제27차 컨퍼런스의 프로그램을 우리 회원들에게 안내하고자 하며, IMEC 27에서 소개된 ChatBot를 가지고 참석한 회원들과 함께 진행하는 워크숍을 개최하고자 한다.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제19권3호
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• pp.155-174
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• 2015

The goal of this study was to examine the three components of a laboratory class cycle that empowered teachers to change their teaching practices. Six teachers and their administrator in an elementary school in the southeastern United States participated in the study. All the teachers were interviewed, and their mathematics lessons were observed at the end of each cycle of laboratory classes. The study revealed how planning, observing, and critiquing mathematics lessons as a team assisted the teachers' learning and teaching. We identified opportunities for the teachers to experiment with different teaching approaches, and we found that support from the team and from the school were key factors for the laboratory class cycle to function effectively.

• Structural Engineering and Mechanics
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• 제42권5호
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• pp.747-760
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• 2012

In today's online social structure, people with electronic devices or network have been closely related to whether any of the activities, work, school, etc., is related to electronic devices, intelligent robot, and network control. The best mobility and the first rich media of these products as smart phones, smart phones rise rapidly in recent years, high speed processing performance and high free way to install software, deeply loved by many business people. However, not only for smart phone business aspects of the use, but also can engage in education of the teachers or the students are learning a great help. This study construct OCR-assisted learning software written by the JAVA made, and the installation is provided by the Android mobile phone users.

• 영어어문교육
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• 제8권1호
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• pp.1-13
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• 2002

One of the benefits of the internet-assisted instruction is that it can improve L2 Learners' motivation to express themselves in English. The purpose of this paper is to investigate an effective approach to British-American fiction learning in Korean universities, which can emphasize communicative strategies drawing on video-conferencing system, a chat system(CUSeeMe), and an e-mail system. Students are passive participants who cannot assert their creativity in the traditional teaching method of British-American fiction, which mainly relies upon reading and translation far from literature lessons. In CCDL(Cross-cultural distance learning) class, students can play active roles in asserting their own ideas and assuming considerable responsibility for making a presentation in English. A professor can play a role as a coordinator in supporting the students' activities and in winding up the class. The main significance of this article lies in providing a paradigm for CCDL class beyond the limitation of the traditional teaching method of British-American fiction in Korea and futhermore in exploring the eclectic integration of the traditional one and CCDL.

• 아시아태평양코퍼스연구
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• 제2권1호
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• pp.1-11
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• 2021

Recently, corpus assisted vocabulary instruction has been attracting a lot of interest. Most studies have focused on understanding language learners' receptive vocabulary knowledge. Limited attention has been paid to learners' productive competence. To fill this gap, this study attended to learners' productive lexical development in terms of form, meaning and use respectively. This study introduced EFL learners to the corpus-based language pedagogy to learn COVID-19 theme-based vocabulary. To investigate the gains and views of 33 EFL first-year college students, a sentence completion task and a questionnaire were developed. Learners' productive performances in the three lexical knowledge aspects (i.e., form, meaning and use) were particularly targeted. The results revealed that the students achieved significant gains in all aspects regardless of their proficiency level. In particular, the less proficient students achieved greater knowledge retention compared with their highly proficient counterparts. Meanwhile, students showed positive attitudes towards the corpus-based approach to vocabulary learning.

• Journal of Oral Medicine and Pain
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• 제47권2호
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• pp.107-108
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• 2022

Artificial intelligence (AI) refers to the use of machines to mimic intelligent human behavior. It involves interactions with humans in clinical settings, and augmented intelligence is considered as a cognitive extension of AI. The importance of AI in healthcare and medicine has been emphasized in recent studies. Machine learning models, such as genetic algorithms, artificial neural networks (ANNs), and fuzzy logic, can learn and examine data to execute various functions. Among them, ANN is the most popular model for diagnosis based on image data. AI is rapidly becoming an adjunct to healthcare professionals and is expected to be human-independent in the near future. The introduction of AI to the diagnosis and treatment of oral diseases worldwide remains in the preliminary stage. AI-based or assisted diagnosis and decision-making will increase the accuracy of the diagnosis and render treatment more precise and personalized. Therefore, dental professionals must actively initiate and lead the development of AI, even if they are unfamiliar with it.