• 기독교교육논총
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• 제69권
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• pp.139-162
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• 2022

본 연구는 비대면 수업 방식에 의해 몰입에 대한 학습동기의 영향을 검증하였다. 이를 위해서 유아교육을 전공하고 있는 101명의 대학생을 연구대상으로 선정하였다. 연구대상의 평균 연령은 22.6세이며, 비실시간 비대면 수업을 수강한 학생은 51명이며, 실시간 비대면 수업을 수강한 학생은 50명이다. 연구는 비대면 수업이 종료된 이후에 몰입 수준과 학습동기 유형을 측정하였다. 측정된 자료는 기술통계분석과 다중회귀분석을 사용하여 분석하였다. 그 결과, 전체 학생을 대상으로 한 결과는 몰입에 대해 수행접근목표가 가장 많은 영향을 주었고, 숙달목표지향이 다음으로 영향을 주었다. 수행회피지향은 영향을 주지 못했다. 비실시간 비대면 수업 학생들은 수행접근목표지향이 몰입에 영향을 주었고, 실시간 비대면 수업 학생들은 숙달목표지향이 영향을 주었다. 본 연구 결과를 통해서 얻을 수 있는 시사점은 다음과 같다. 첫째, 비실시간 비대면 수업은 실수와 실패가 없도록 기초적인 지식과 기능에 대한 내용을 다루어야 한다. 둘째, 비실시간 비대면 수업은 적절한 난이도를 가지고 있는 과제들을 마감 시간을 두고 수행하도록 해야 한다. 셋째, 실시간 비대면 수업은 실수와 실패에 대한 두려움을 낮추어야 한다.

• 사상체질의학회지
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• 제34권4호
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• pp.13-26
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• 2022

Objectives The purpose of this study was to explore the differences in allergic reactions by type of Sasang constitution using multiple allergen simultaneous test(MAST). Methods This study was conducted using the big data of Korean medical health checkups. Subjects with a history of allergic disease, Sasang constitution type information, and MAST results were included. Subjects who had taken drugs before MAST that affected allergic reactions were excluded. We compared total immunoglobulin E(IgE) concentrations, and the number of positive antigens by Sasang constitution using analysis of variance. The presence or absence of a positive reaction and specific IgE concentration classes of 92 antigens in MAST were analyzed by Fisher's exact test or Chi-squared test. Results The distribution of Sasang constitutional types of Tae-Yang, Tae-Eum, So-Yang, and So-Eum among 147 subjects was 2.7%, 42.9%, 38.1%, and 16.3%, respectively. There was no statistically significant difference in the total IgE concentration, the number of positive antigens, and specific IgE concentration classes for each antigen. There was a statistically significant difference in MAST-positive reaction for alder and pine antigens by type of Sasang constitution, and Tae-Eum had the most. Conclusions Tae-Eum showed a relatively strong positive reaction to a large number of antigens compared to the other types, but no statistically significant difference was observed. It is necessary to continuously investigate allergic reactions to provide evidence for the treatment of allergic diseases by Sasang constitution.

• 실천공학교육논문지
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• 제14권2호
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• pp.333-339
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• 2022

본 연구는 공과대학 학생들이 온라인 학습을 진행하였을 때 노트 필기를 병행하며 학습을 하는 경우에 대해 학습 효과 및 만족도, 집중력에 미치는 영향에 대해 연구하였다. 온라인 학습에서 학습 도구로 사용하기 위한 양식으로 코넬노트를 사용하였다. 설문 조사 결과, 학생들은 온라인 학습에서의 노트 필기가 수업 참여의 성실성, 적극성, 집중력에 도움이 되는 것으로 파악되었다. 통계 분석 결과, 노트 필기 제출 횟수와 학업성취도와의 양의 상관관계를 확인하였으며 단일/다중 회귀분석을 통해서 노트 필기 제출 횟수와 학업 성취도가 통계적으로 유의미함을 확인하였다. 다중 회귀 분석 결과, 평균적으로 학생들의 노트 필기 제출 횟수가 1회 증가할 경우, 이는 중간고사 점수 0.253점, 기말고사 점수 0.287점 상승에 통계적으로 유의미한 것을 확인하였다. 부트스트래핑 회귀분석을 실시한 결과에서도 필기노트 제출 횟수가 성적과도 유의미한 결과를 얻어 단일/다중회귀 분석의 결과가 적정함을 확인하였다. 온라인 상에서 강의를 수강하며 노트를 필기하고 온라인 제출함으로써 온라인 수업에서 학습의 질을 높일 수 있는 수업 전략이 될 수 있음을 확인하였다.

• 영어어문교육
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• 제13권3호
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• pp.227-251
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• 2007

The development and use of computer mediated communications (CMC) as a tool for teaching and learning English has grown considerably in recent years. The purpose of this study is to investigate factors related to learners' participation, achievement, and satisfaction in EFL classes using web-based bulletin boards. The total number of 77 university students participated in this study. Three domains and eight independent variables investigated in this study were a learner-related domain (attitudes toward CMC, intrinsic motivation, extrinsic motivation, attitudes toward writing), an interaction-related domain (student-student interaction, teacher-student interaction), and an environmental domain (physical support and design of the web site). In order to determine interrelation of variables correlation analysis and multiple regression analysis were used. The results of this study showed that the factors predicting a learner's participation were instrumental motivation, attitudes toward writing, and teacher-student interaction. The factors explaining a learner's achievement were learner's participation and attitudes toward writing, and the factors predicting a learner's satisfaction were integrative motivation, student-student interaction, teacher-student interaction, physical support and learner's participation.

• 전자공학회논문지B
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• 제33B권5호
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• pp.52-59
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• 1996

The boroadband ISDN will transprot the traffics for a wide range of applications with different quality-of-service (QOS) requirements and the priorit control mechanism is an effective method to support multiple classes of services. This paper proposes a new mechanism to satisfy simultaneously the different levels of cell loss performance for the two classes of heterogeneous nonreal-time ATM traffics as well as the delay and loss requirements of real-time traffics. Its performance is analyzed using the stochastic integral approach with the cell arrivals of input streams modeled as markov modulated poisson processes.

• 전자통신동향분석
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• 제35권3호
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• pp.20-33
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• 2020

Temporal action detection (TAD) in untrimmed videos is an important but a challenging problem in the field of computer vision and has gathered increasing interest recently. Although most studies on action in videos have addressed action recognition in trimmed videos, TAD methods are required to understand real-world untrimmed videos, including mostly background and some meaningful action instances belonging to multiple action classes. TAD is mainly composed of temporal action localization that generates temporal action proposals, such as single action and action recognition, which classifies action proposals into action classes. However, the task of generating temporal action proposals with accurate temporal boundaries is challenging in TAD. In this paper, we discuss TAD technologies that are considered high performance in terms of representative TAD studies based on deep learning. Further, we investigate evaluation methodologies for TAD, such as benchmark datasets and performance measures, and subsequently compare the performance of the discussed TAD models.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1483-1485
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• 2003

Multitemporal approaches using sequential data acquired over multiple years are essential for satisfactory discrimination between many land cover classes whose signatures exhibit seasonal trends. At any particular time, the response of several classes may be indistinguishable. Using the estimates of periodogram which are obtained from sequential images, the periodicity of the process have been incorporates into multitemporal classification. The Normalized Difference Vegetation Index (NDVI) was computed for seven-day composites of the Advanced Very High Resolution Radiometer (AVHRR) imagery over the Korean peninsula for 1996 - 2000 using a dynamic technique.

• Smart Structures and Systems
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• 제7권3호
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• pp.223-228
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• 2011

An understanding of biomaterials' smart properties and how biocomposite materials are manufactured by cells provides not only bio-inspiration for new classes of smart actuators and sensors but also foundational technology for smart materials and their manufacture. In this case study, I examine the unique smart properties of bone, which are evident at multiple length scales and how they provide inspiration for novel classes of mechanoactive materials. I then review potential approaches to engineer and manufacture bioinspired smart materials that can be applied to solve currently intractable problems such as the need for "smart" body armor or decor cum personal safety devices.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제6권4호
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• pp.331-334
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• 2006

Original Support Vsctor Machines (SVMs) by Vapnik were used for binary classification problems. Some researchers have tried to extend original SVM to multiclass classification. However, their studies have only focused on classifying samples into nominal categories. This study proposes a novel multiclass SVM model in order to handle ordinal multiple classes. Our suggested model may use less classifiers but predict more accurately because it utilizes additional hidden information, the order of the classes. To validate our model, we apply it to the real-world bond rating case. In this study, we compare the results of the model to those of statistical and typical machine learning techniques, and another multi class SVM algorithm. The result shows that proposed model may improve classification performance in comparison to other typical multiclass classification algorithms.

• 대한원격탐사학회지
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• 제19권5호
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• pp.381-392
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• 2003

Multi-temporal approaches using sequential data acquired over multiple years are essential for satisfactory discrimination between many land-cover classes whose signatures exhibit seasonal trends. At any particular time, the response of several classes may be indistinguishable. A harmonic model that can represent seasonal variability is characterized by four components: mean level, frequency, phase and amplitude. The trigonometric components of the harmonic function inherently contain temporal information about changes in land-cover characteristics. Using the estimates which are obtained from sequential images through spectral analysis, seasonal periodicity can be incorporates into multi-temporal classification. The Normalized Difference Vegetation Index (NDVI) was computed for one week composites of the Advanced Very High Resolution Radiometer (AVHRR) imagery over the Korean peninsula for 1996 ～ 2000 using a dynamic technique. Land-cover types were then classified both with the estimated harmonic components using an unsupervised classification approach based on a hierarchical clustering algorithm. The results of the classification using the harmonic components show that the new approach is potentially very effective for identifying land-cover types by the analysis of its multi-temporal behavior.