• 대한물리치료과학회지
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• 제9권4호
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• pp.141-153
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• 2002

Problem based learning(PBL) is one of the learning strategies from the constructivism. It is a learning centered students. The tutors are facillitators as activators, helpers and cooperators not organizer in the classrooms. PBL makes that students learn creativity, independence, reasoning skits, communication and collaboration for problem solving. As the PBL process, students get the problems that are in real situation, discussed with others for brain storming, self directed study and revisited to the situation. They think critically and apply to the real situation. When students are to be physical therapists, they are easy to adopt their job and efficient to manage well. But inspite of a lot of advantages to them, there are much conflict to use as the learning strategies. Students perceived one of best learning method that they have experienced, but there are stress, burden, anxiety, timeless to prepare, lack of information and so on. PBL is effective to learning health oriented subjects, problem solving, even a lot preparation and processing for learning. It is reduced the differences between theories in colleges and practices in the fields. In processing of PBL, students get more many skills than the conventional learning. As trying many times to the classrooms, we can fixed to PBL with mistakes and conflict for better the development of the teaching and learning.

• 영어어문교육
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• 제13권3호
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• pp.133-156
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• 2007

Although the understanding of English tense system is a crucial factor for communicative English learning and teaching for EFL students, it has been neglected over the years. As with other areas of the grammar, difficulties may arise from the nature of the system itself or from differences between time, tense and aspect. Consequently, many learners face a considerable difficulty with the English tense system as they are more often unable to grasp the basic conceptual differences of present/present continuous, past/present perfect, will/be going to along with many others. More concerning fact is that lots of instructors or so-called native English teachers seem not to be aware of the importance of teaching English tense system. The purpose of this study is to review and examine various theories and practical usages of tense in order to establish and/or present better methods for teaching tenses. This paper is focused on comparatively exact distinction of time, physical notion from tense, grammatical category as well as sequences of tenses in view of school grammar and communicative function. At the end or middle of each chapter, efficient teaching and learning techniques or strategies on tenses are suggested to help instructors or learners who relentlessly face confusions in understanding tense and its usage for communicative English learning and teaching. This study attempts to influence learners' ability to recognize and write tense in authentic contexts not to mention spoken English.

• 한국간호교육학회지
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• 제25권3호
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• pp.300-311
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• 2019

Purpose: The purpose of this study was to review and synthesize the existing literature on the experience of nursing students in simulation. Methods: A systematic review was undertaken using meta-ethnography. Eight databases were searched up to January 2014 for peer-reviewed studies, written in Korean and English, that reported primary data, used identifiable and interpretative qualitative methods, and offered a valuable contribution to the synthesis. Results: Nine studies were identified, with quality appraisal undertaken. Three key concepts were generated: ambivalence of simulation practice, learning by reflection, and building up of the competency as a future nurse. Six sub-concepts emerged: double sidedness of simulation setting; feeling ambivalence of simulation; learning from others; learning from self-reflection; improvement of confidence by role experience; and internalization of nursing knowledge. A line of argument has been developed based on the themes generated. Conclusion: The findings from this qualitative synthesis and other related literature indicated the importance of capability of educator and extension of the simulation system to facilitate effective simulation-based education.

• ETRI Journal
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• 제17권1호
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• pp.11-22
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• 1995

This paper proposes a modified error function to improve the error back-propagation (EBP) algorithm for multi-Layer perceptrons (MLPs) which suffers from slow learning speed. It can also suppress over-specialization for training patterns that occurs in an algorithm based on a cross-entropy cost function which markedly reduces learning time. In the similar way as the cross-entropy function, our new function accelerates the learning speed of the EBP algorithm by allowing the output node of the MLP to generate a strong error signal when the output node is far from the desired value. Moreover, it prevents the overspecialization of learning for training patterns by letting the output node, whose value is close to the desired value, generate a weak error signal. In a simulation study to classify handwritten digits in the CEDAR [1] database, the proposed method attained 100% correct classification for the training patterns after only 50 sweeps of learning, while the original EBP attained only 98.8% after 500 sweeps. Also, our method shows mean-squared error of 0.627 for the test patterns, which is superior to the error 0.667 in the cross-entropy method. These results demonstrate that our new method excels others in learning speed as well as in generalization.

• 인터넷정보학회논문지
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• 제20권5호
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• pp.79-86
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• 2019

This paper is an overview of key elements of Korea National Open University's smart mobile learning system, and an attempt to evaluate its main services relative to the FRAME model and the Mobile Learning Development Model for distance learning in higher education. KNOU improved its system architecture to one based on xMOOC e-learning content delivery while also upgrading its PC-based online/mobile learning services to facilitate an easier and more convenient access to lectures and for better interactivity. From the users' viewpoint, the upgraded 'U-KNOU Campus' allows for a more integrated search capability coupled with better course recommendations and a customized notification service. Using the new system, the students can access not only the school- and peer-issued messages via online bulletin boards but also share information and pose questions to others including to the school faculty/officials and system administrators. Additionally, a new mobile payment method has been incorporated into the system so that the students can select and pay for additional courses from anywhere. In spite of these advances, the issue of device usability and content development remain; specifically U-KNOU Campus needs to improve its instructor-learner and learner-to-learner interactivity and mobile evaluation interface.

• 한국융합학회논문지
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• 제10권7호
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• pp.71-76
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• 2019

본 연구의 목적은 교양영어 학습자들을 대상으로 실천학습(Action learning) 기법을 활용한 영어 수업 사례 연구를 통하여 그 효과를 알아보고자 했다. 본 연구는 학습자 중심 수업을 기본으로 하여 학습자 간의 상호수정 활동을 통해 영어 기술을 익힐 수 있다는 것에 연구의 가치를 두고 실천학습(Action learning)을 수업에 활용함으로써 그 효과를 알아보고자 했다. 2018년 3월 1일부터 2018년 6월15일까지 교양 영어 두개 반(실험반, 통제반) 학생을 대상으로 하였으며 실험 집단은 실천학습(Action learning) 협력기법을 활용한 협력쓰기 수업을 진행하고, 통제 반은 교수자가 기존에 하던 방식의 쓰기 수업을 진행하여 비교하였다. 본 연구의 연구문제는 실천학습(Action learning) 기법을 적용한 협력 쓰기 활동이 학생들의 쓰기 유창성에 어떠한 영향을 미치는가를 알아보고자했다. 연구결과, 실험집단의 경우 단어의 수, 문장의 수와 문장 길이 등의 쓰기의 유창성 부분에서 통계적으로 유의미한 결과를 가져왔다. 학습자들은 학습 관계에서 더 깊이 있게 다른 사람들이 지닌 지식이나 생각을 공유하고 보다 규칙적인 근거를 가지고 근접발달영역 들어갈 수 있었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권1호
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• pp.147-165
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• 2021

In this work, we empirically evaluated the efficiency of the recent EfficientNetB0 model to identify and diagnose malaria parasite infections in blood smears. The dataset used was collected and classified by relevant experts from the Lister Hill National Centre for Biomedical Communications (LHNCBC). We prepared our samples with minimal image transformations as opposed to others, as we focused more on the feature extraction capability of the EfficientNetB0 baseline model. We applied transfer learning to increase the initial feature sets and reduced the training time to train our model. We then fine-tuned it to work with our proposed layers and re-trained the entire model to learn from our prepared dataset. The highest overall accuracy attained from our evaluated results was 94.70% from fifty epochs and followed by 94.68% within just ten. Additional visualization and analysis using the Gradient-weighted Class Activation Mapping (Grad-CAM) algorithm visualized how effectively our fine-tuned EfficientNetB0 detected infections better than other recent state-of-the-art DCNN models. This study, therefore, concludes that when fine-tuned, the recent EfficientNetB0 will generate highly accurate deep learning solutions for the identification of malaria parasites in blood smears without the need for stringent pre-processing, optimization, or data augmentation of images.

• 공학교육연구
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• 제27권3호
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• pp.26-33
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• 2024

This study aimed to verify the learning effectiveness of students who took courses in the field of new and renewable energy, which have been operated within a convergence university system. To achieve this, data were collected from 1,228 students who participated in 34 courses jointly developed and conducted by seven universities as part of standard curriculum offerings. The study analyzed learning effectiveness (course satisfaction, transfer motivation, learning transfer, creativity-convergence competency) using Excel 2018 and SPSS 25.0. It also examined inter-university differences in learning effectiveness and identified factors influencing creativity-convergence competency. The main findings are as follows: (a) Course satisfaction (M= 4.20), transfer motivation (M=3.62), learning transfer (M= 4.06), and creativity-convergence competency (M=3.92) were generally high. (b) Analysis of learning effectiveness differences between universities showed no significant differences among universities A, B, C, D, and E. University F was lower compared to other universities, while University G was significantly higher than others. (c) Sex, grade, number of courses taken, course satisfaction, transfer motivation, and learning transfer had effect on creativity-convergence competency. The results of this study provided implications for promoting activities to attract students, expanding transfer opportunities, and ensuring student agency.

• International Journal of Computer Science & Network Security
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• 제21권8호
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• pp.247-253
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• 2021

The outbreak of the deadly virus COVID-19 is said to infect 17.3Cr people around the globe since 2019. This outbreak is continuously affecting a lot of new people till this day and, most of it is said to under control. However, vaccines introduced around the world can help mitigate the risk of the virus. Apart from medical professionals, prediction models are also said to combinedly help predict the risk of infection based on given datasets. This paper is based on publication of a machine learning approach using regression models to predict the output based on dataset which have indictors grouped based on active, tested, recovered and critical cases along with regions and cities covering most of it from Dubai. Hence, the active cases are tested based on the other indicators and other attributes. The coefficient of the determination (r²) is 0.96, which is considered promising. This model can be used as an frame work, among others, to predict the resources related to the dangerous outbreak.

• 융합신호처리학회논문지
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• 제23권3호
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• pp.143-149
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• 2022

This excerpt delineates a quantitative measure of relationship between a research title and its respective abstract extracted from different journal articles documented through a Korean Citation Index (KCI) database published through various journals. In this paper, we propose a machine learning-based similarity metric that does not assume normality on dataset, realizes the imbalanced dataset problem, and zero-variance problem that affects most of the rule-based algorithms. The advantage of using this algorithm is that, it eliminates the limitations experienced by Pearson correlation coefficient (r) and additionally, it solves imbalanced dataset problem. A total of 107 journal articles collected from the database were used to develop a corpus with authors, year of publication, title, and an abstract per each. Based on the experimental results, the proposed algorithm achieved high correlation coefficient values compared to others which are cosine similarity, euclidean, and pearson correlation coefficients by scoring a maximum correlation of 1, whereas others had obtained non-a-number value to some experiments. With these results, we found that an effective title must have high correlation coefficient with the respective abstract.