• 의학교육논단
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• 제19권2호
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• pp.101-108
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• 2017

When participating in problem-based learning (PBL), it is important for medical students to generate claims and provide justifications for their claims in small group discussions. This study aimed to investigate the effect of argumentation instruction on medical student learning experiences with PBL. A total of one hundred first-year preclinical students from Inje University College of Medicine, who had attended argumentation instruction, participated in this study. All of the participants completed a 5-point Likert scale questionnaire regarding their learning experiences with PBL, before and after the argumentation instruction. The questionnaire comprised 22 items with eight subcategories: argumentation activity, reflection, integration of basic and clinical science, identification of lack of knowledge, logical thinking, self-directed study, communication, and attitude toward discussion. The collected data were analyzed through a paired-sample t-test. The results of this study found that the argumentation instruction promoted the preclinical students' experiences with argumentation activities, reflection, an integration of basic and clinical science, the identification of their lack of knowledge, logical thinking, and self-directed study, and it increased positive attitudes toward group discussion. The findings suggest argumentation instruction can enhance medical student group discussions and help students achieve the objectives of PBL, including acquisition of basic and clinical science knowledge and development of clinical reasoning and self-directed learning abilities, which can highlight the meaningful learning experiences students have with PBL.

• 정보교육학회논문지
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• 제10권1호
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• pp.93-104
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• 2006

이 연구는 선행 연구들이 지적했던 스캐폴딩 제공의 문제점인 학습전이의 저해, 인지부하의 증가, 자율적학습동기의 감소가 스캐폴딩 유형에 따라 어떻게 달라지는지 알아보고자 하였다. 이를 위해 문헌 고찰을 통하여 스캐폴딩에 대한 설계원리를 제시하고, GLAS 유형(지원적, 성찰적, 내재적)에 따른 웹 기반 협력학습환경을 설계하였다. 그리고, 무선적으로 선정된 초등학교 6학년 학생들을 대상으로, 4주간 수학을 주제로 GLAS 유형별 웹 기반 협력학습을 실시하였다. 그 결과, 학습전이에 대한 스캐폴딩의 영향, 성찰적 스캐폴딩의 인지부하 문제, 학습동기에 영향을 주는 내재적 스캐폴딩에 대하여 결론을 얻을 수 있었다.

• Journal of Korean Biological Nursing Science
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• 제9권1호
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• pp.5-31
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• 2007

Purpose: The purpose of this study was to explore the knowledge and learning needs on cardiac rehabilitation of coronary artery bypass graft(CABG) patients. Method: The subjects consisted of 100 CABG patients at A hospital in Seoul. Data were collected by the two different kind of questionnaires which measure knowledge and learning needs on cardiac rehabilitation of CABG patients. The subjects responded the questionnaire on knowledge before CABG and that on learning needs before their discharge. Result: The mean score of knowledge on cardiac rehabilitation was 68.54. Knowledge on risk factor, nature of disease, diet, daily activity, medication, post operative care were great in order. The mean score of learning needs on cardiac rehabilitation was 4.28. Learning needs on diet, medication, nature of disease, post operative care, daily activity, risk factor were great in order. There were significant differences in knowledge according to occupation, economic status and family history(p=.021, p=.017, p=.023). There was a positive correlation between knowledge and learning needs(r=.3009, p=.002). Conclusion: Level of knowledge on cardiac rehabilitation of CABG patients is low and knowledge on postoperative care is the lowest, and learning needs are great in ail categories.

• 한국멀티미디어학회논문지
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• 제22권8호
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• pp.950-959
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• 2019

The purpose of this study was to investigate the effect of integrated teaching and learning method using augmented reality for effective promotion of child - friendly attitude and environmental preservation attitude and explored its applicability. For this purpose, based on the augmented reality fairy tale, we designed an experience - oriented integrated teaching and learning method such as reading book, story - telling, drawing, environmental conservation practice activity. The experimental group was divided into two groups: augmented reality reading fairy tales (A) and children's book reading fairy tales (B). First, interest, immersion, and empathy were higher in the application environment of integrated learning teaching method based on Augmented Reality. Second, there was no difference between the two groups in content understanding. Third, in terms of expressiveness, it was verified that various expressions were expressed in the applying environment of the integrated teaching - learning method based on augmented reality through drawing activities. Fourth, in practice activities, more students were practicing in the augmented reality - based integrated teaching - learning method applied environment, and the number of practice activities of individual students was also confirmed. This study suggests that the application of the integrated teaching and learning method can enhance the effect of education when using the smart teaching media using the augmented reality in early childhood education.

• 비교문화연구
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• 제38권
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• pp.461-500
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• 2015

This study aims to investigate the effective method to improve the competence of the Vocabulary by the image and listening towards the ELF. In the first part, we observed the problems and point improvement on learning vocabulary based on learner survey. In the second part, we analyzed two remarkable studies: - consistent and adapt method, communicational context - method based on the lexical, morphological semantical, notional and thematic field Then we proposed effective methods that are applicable to the vocabulary's learning in the class : - learning vocabulary by combining the words - learning vocabulary based on the meaning field - learning vocabulary as concrete characters - learning vocabulary by the descriptive character - learning vocabulary with the type "who am I?" - learning vocabulary by listening For teachers, one of the difficulties to the conduct of vocabulary course is that learners take passive position. Specifically, it is the teachers who play an important role because it runs in the direction of the course. However, learners do not show the active attitude for vocabulary lessons despite the course to take to improve their vocabulary skills. Therefore, teachers must prepare course materials that can both improve the competence of the vocabulary of learners and cause their interest or desire on the current vocabulary. This is why teachers should exploit various materials depending on the skill level of the learner vocabulary.

• 한국보육지원학회지
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• 제18권2호
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• pp.1-18
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• 2022

Objective: A teacher learning community was developed in order to implement a play-centered curriculum at a child care center, and teachers' experiences during the process were explored. Methods: The teacher learning community was carried out for a total of 23 sessions. One researcher and six teachers participated in this study. Data including the transcripts of recordings of the teacher learning community, transcripts of individual teachers' interview recordings, teachers' reflective journals, and social media posts were collected. Data were analyzed according to the qualitative data analysis procedure. Results: The teachers recognized their experiences of the teacher learning community as follows: (1) encouraging and empowering each other to find a way together, (2) self-reflection, communication and sharing with experiences, (3) becoming a teacher who practices change. Conclusion/Implications: The results of this study show the importance and effectiveness of managing the teacher learning community in a way that teachers interact with each other in a collaborative manner within the community based on initiative and spontaneity, and to provide help to each other in the process of understanding and practicing the play-centered curriculum. The teacher learning community supports the professionalism of teachers for the practice of a play-centered curriculum.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제25권3호
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• pp.201-225
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• 2022

This paper details case study vignettes that focus on enhancing the teaching and learning of geometry and measurement in the elementary grades with attention to pedagogical practices for teaching through problem solving with rigor and centering equitable teaching practices. Rigor is a matter of equity and opportunity (Dana Center, 2019). Rigor matters for each and every student and yet research indicates historically disadvantaged and underserved groups have more of an opportunity gap when it comes to rigorous mathematics instruction (NCTM, 2020). Along with providing a conceptual framework that focuses on the importance of equitable instruction, our study unpacks ways teachers can leverage their deep understanding of geometry and measurement learning trajectories to amplify the mathematics through rigorous problems using multiple approaches including learning by doing, challenged-based and mathematical modeling instruction. Through these vignettes, we provide examples of tasks taught through rigorous problem solving approaches that support conceptual teaching and learning of geometry and measurement. Specifically, each of the three vignettes presented includes a task that was implemented in an elementary classroom and a vertically articulated task that engaged teachers in a professional learning workshop. By beginning with elementary tasks to more sophisticated concepts in higher grades, we demonstrate how vertically articulating a deeper understanding of the learning trajectory in geometric thinking can add to the rigor of the mathematics.

• 대한후두음성언어의학회지
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• 제33권3호
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• pp.142-155
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• 2022

Diagnosis using voice is non-invasive and can be implemented through various voice recording devices; therefore, it can be used as a screening or diagnostic assistant tool for laryngeal voice disease to help clinicians. The development of artificial intelligence algorithms, such as machine learning, led by the latest deep learning technology, began with a binary classification that distinguishes normal and pathological voices; consequently, it has contributed in improving the accuracy of multi-classification to classify various types of pathological voices. However, no conclusions that can be applied in the clinical field have yet been achieved. Most studies on pathological speech classification using speech have used the continuous short vowel /ah/, which is relatively easier than using continuous or running speech. However, continuous speech has the potential to derive more accurate results as additional information can be obtained from the change in the voice signal over time. In this review, explanations of terms related to artificial intelligence research, and the latest trends in machine learning and deep learning algorithms are reviewed; furthermore, the latest research results and limitations are introduced to provide future directions for researchers.

• 한국멀티미디어학회논문지
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• 제25권4호
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• pp.600-609
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• 2022

In supervised learning, labeling of all data is essential, and in particular, in the case of object detection, all objects belonging to the image and to be learned have to be labeled. Due to this problem, continual learning has recently attracted attention, which is a way to accumulate previous learned knowledge and minimize catastrophic forgetting. In this study, a continaul learning model is proposed that accumulates previously learned knowledge and enables learning about new objects. The proposed method is applied to CenterNet, which is a object detection model of anchor-free manner. In our study, the model is applied the knowledge distillation algorithm to be enabled continual learning. In particular, it is assumed that all output layers of the model have to be distilled in order to be most effective. Compared to LWF, the proposed method is increased by 23.3%p mAP in 19+1 scenarios, and also rised by 28.8%p in 15+5 scenarios.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2019년도 제60차 하계학술대회논문집 27권2호
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• pp.277-280
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• 2019

본 논문에서는 화학분야 특허 문서에 존재하는 도표(TABLE) 데이터를 인공지능 기술을 활용하여 자동으로 추출하고 정형화된 형태로 가공하는 방법을 제안한다. 특허 문서에서 도표 데이터는 실시예에서 실험결과나 비교결과를 간결하고 가시적으로 표현하기 위하여 주로 사용되나, 셀의 속성을 정의하는 헤더부분과 수치가 표현되는 값 부분의 경계가 모호하여 구조화하는데 어려움이 있다. 본 논문에서 제안하는 방법은 소량의 학습데이터를 구축하고 기계학습을 통해 도표에 존재하는 셀의 속성을 예측하고, 예측된 속성을 토대로 조성과 물성 정보를 자동으로 구분하여 추출하는 방법을 제시한다. 제시된 방법을 활용하여 화학 분야 조성물 특허의 도표데이터에 시뮬레이션 결과 각 항목별 98.17%의 속성 예측 정확도를 나타내었으며 기존 규칙기반 연구보다 작업난이도, 예측정확도에서 우수한 성과를 보인다.