• Journal of Korean Physical Therapy Science
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• v.9 no.4
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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.

• English Language & Literature Teaching
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• v.13 no.3
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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.

• The Journal of Korean Academic Society of Nursing Education
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• v.25 no.3
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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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• v.17 no.1
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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.

• Journal of Internet Computing and Services
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• v.20 no.5
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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.

• Journal of the Korea Convergence Society
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• v.10 no.7
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• pp.71-76
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• 2019

The purpose of this study is to investigate the effect of action learning methods and practices, which have a research focus on learner-centered teaching after training students to use collaborative learning practices from the viewpoint that the learners acquire English skills through peer correction activities based on sociocultural learning theory[1]. From March 1, 2018 to June 15, 2018, one control class and one experimental group were selected from the general freshman English courses. The experimental group attended classes centered on collaborative writing activities using action learning and cooperation techniques, and the control group attended classes lecture style and rote learning methods to teach writing. The result of study has shown that, for the experimental group, there have been statistically significant results in the production of writing, such as the number of words, the number of sentences, and sentence length. Learners could share the knowledge or ideas of others in their learning relationships with more regular basis.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.1
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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.

• Journal of Engineering Education Research
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• v.27 no.3
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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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• v.21 no.8
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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.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.3
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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.