• Title/Summary/Keyword: effective learning strategies

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Development and Evaluation of a Problem-based Learning in Nursing Management and Ethics ('간호관리 및 윤리' 교과목의 문제중심학습 패키지 개발 및 평가)

  • Kim, In-Sook;Chung, Ja-Ne;Kim, Eun-Hyeon;Lee, Tae-Wha
    • Journal of Korean Academy of Nursing Administration
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    • v.13 no.1
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    • pp.53-64
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    • 2007
  • Purpose: This study was aimed to develop and evaluate of a Problem-based Learning (PBL) in the course of Nursing Management and Ethics. Method: The design of the study was both methodological and one group only pre-post design. The sample included 61 senior students who are currently enrolled in Nursing management and Ethics course in college of nursing. Data regarding PBL evaluation were collected on the critical thinking and clinical reasoning using structured questionnaires during March to June, 2005. Data were analyzed using descriptives and paired t-test. Results: A total of three PBL packages was developed by the two faculty members and two teaching assistants who are majoring in nursing management. PBL packages that had been developed was applied to 61 senior students for three months. Critical thinking and clinical reasoning were measured twice pre and post the application of PBL packages. There were statistically significant differences in the critical thinking and clinical reasoning between the pre and post PBL application. Conclusion: PBL was considered to be effective in understanding the learning concepts in the Nursing Management and Ethics. Further research on the facilitative strategies and development model considering the characteristics of Nursing Management and Ethics course is needed.

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Multi-parametric MRIs based assessment of Hepatocellular Carcinoma Differentiation with Multi-scale ResNet

  • Jia, Xibin;Xiao, Yujie;Yang, Dawei;Yang, Zhenghan;Lu, Chen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.10
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    • pp.5179-5196
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    • 2019
  • To explore an effective non-invasion medical imaging diagnostics approach for hepatocellular carcinoma (HCC), we propose a method based on adopting the multiple technologies with the multi-parametric data fusion, transfer learning, and multi-scale deep feature extraction. Firstly, to make full use of complementary and enhancing the contribution of different modalities viz. multi-parametric MRI images in the lesion diagnosis, we propose a data-level fusion strategy. Secondly, based on the fusion data as the input, the multi-scale residual neural network with SPP (Spatial Pyramid Pooling) is utilized for the discriminative feature representation learning. Thirdly, to mitigate the impact of the lack of training samples, we do the pre-training of the proposed multi-scale residual neural network model on the natural image dataset and the fine-tuning with the chosen multi-parametric MRI images as complementary data. The comparative experiment results on the dataset from the clinical cases show that our proposed approach by employing the multiple strategies achieves the highest accuracy of 0.847±0.023 in the classification problem on the HCC differentiation. In the problem of discriminating the HCC lesion from the non-tumor area, we achieve a good performance with accuracy, sensitivity, specificity and AUC (area under the ROC curve) being 0.981±0.002, 0.981±0.002, 0.991±0.007 and 0.999±0.0008, respectively.

Effective management strategies of basic mathematics for low achievement students in university general mathematics (대학수학 기초학력 부진학생을 위한 기초수학 지도 방안)

  • Pyo, Yong-Soo;Park, Joon-Sik
    • Communications of Mathematical Education
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    • v.24 no.3
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    • pp.525-541
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    • 2010
  • The purpose of this thesis is to investigate the effects of the topics in basic mathematics on academic achievement in order to improve the problem-solving abilities of low achievement students in university general mathematics. This program has been conducted from P University as a part of Education Capacity Enhancing Project. The goals of this program are to make students who have fear to mathematics feel confident for mathematics, and make easier to study general mathematics and major field without any difficulties for the students. The topics in basic mathematics was enforced with solving problem based on comprehension of the basic concept and computer-based learning. The classes were organized as Algebra-Geometry, Calculus, and General mathematics class by students' applications for classes and basic academic ability. As a result, the topics in basic mathematics has been evaluated as positive way to effect satisfaction and learning effect for the students who have low-level in basic academic ability. And also, according to the survey, the result shows that assignment through Webwork system and Mathematica program practice are helpful for learning basic mathematics. But several measures are asked for participation in the class and prevention for quitter of participants.

The Analysis of On-line Contents Application for Effective Operating Extra-Curriculum in ACHS (방송고 특별활동의 효과적인 운영을 위한 콘텐츠 적용 분석)

  • Chung, Jong-In;Jeong, Young-Sik;Kim, Mee-Yong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.8
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    • pp.2078-2087
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    • 2009
  • The Air and Correspondence High School (ACHS) has played a key role as an organization of lifelong learning since 1974. However, extra-curriculum in ACHS has not been operated successfully due to lacks of educational supports and on-line contents. So we surveyed demands of the ACHS teachers and students for successful operation of extra-curriculum, found four subjects that students preferred in the developing activity area which is one of extra-curricular activities, and experimentally developed four on-line contents for extra-curriculum. And we also applied the developed on-line contents to the students of Chongju H.S. After the application, another survey and interview were carried out to measure learner's satisfaction, find out problems of learning with on-line contents and suggest the ways of improving extra-curriculum learning system.

The failure case of the knowledge transfer in an international joint venture : focusing on car engine control system (국제 합작회사의 지식이전 실패사례 연구: 자동차 엔진제어시스템 기술을 중심으로)

  • Yoo, Hyeongjune;Ahn, Joon Mo
    • Journal of Technology Innovation
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    • v.29 no.2
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    • pp.1-30
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    • 2021
  • Recent years have witnessed various attempts of firms to acquire new knowledge. Purchasing intellectual property or merger and acquisition (M&A) can be such attempts, but joint venture can also be an effective way internalizing new complementary assets from external partners. However, due to difficulties in the formation and implementation of learning strategies, many joint ventures have failed to acquire necessary knowledge. In this respect, based on contingency theory and dynamic capability, the current research aims to investigate the failure case of knowledge transfer in an international joint venture - KEFICO established by Hyundai motors and BOSCH. Case firm optimized for hardware technology but did not establish a differentiated learning strategy and organizational structure to acquire software skills, which are intellectuals of different natures. Due to this inconsistency, it was not able for KEFICO to absorb new type of knowledge (skills related to engine control system). This study suggests the theoretical framework illustrating the case and provides some important implications for organizational learning.

The Effect of Student-Generated Questions Partially Applied in a Pathology Course on Learning Motivation, Communication, and Problem Solving of Nursing Students (병리학 교과목에 부분 적용한 학습자질문중심학습법이 간호대학생의 학습동기, 의사소통, 문제해결능력에 미치는 효과)

  • Ryu, Young Mi;Oh, Seieun
    • Journal of Digital Convergence
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    • v.17 no.3
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    • pp.331-340
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    • 2019
  • The purpose of this study was to examine the effects of student-generated questions (SGQs) partially applied in a pathology course on learning motivation, communication abilities, and problem-solving skills in nursing students. A one-group pretest-posttest design was employed to conduct this study with 106 nursing students taking the pathology course in a university-setting. Data were analyzed using a Wilcoxon signed-rank test in SPSS version 20. The results showed that communication and problem-solving skills were significantly improved at the end of the semester compared to the beginning. The findings imply that SGQs could be an effective means to improve nursing students' skills of communication and problem solving. To equip nursing students with such core competencies, teaching-learning methods combined various strategies should be developed and applied to nursing education.

The Effect of Interleaved-practice by the Discriminative-contrast hypothesis in Mathematics (수학학습에서 구분-대조 가설에 의한 교차연습의 효과)

  • Ryu, Jimin;Park, Mijeong
    • Communications of Mathematical Education
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    • v.37 no.2
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    • pp.199-212
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    • 2023
  • The purpose of this study is to find out whether there is a difference in achievement between blocked practice and interleaved practice according to the difference in domain and type of learning content in mathematics subject, and through this result, it is to confirm whether the effect of interleaved practice in mathematics learning is due to the 'Discriminative-contrast Hypothesis' or the 'Distributed-practice Hypothesis'. Although interleaved practice is more effective than blocked practice, previous studies have not shown consistent results regarding the cause. Therefore, in this study, 103 first-year middle school students were randomly assigned to blocked practice, interleaved practice, remote blocked practice, and remote interleaved practice groups had learning activities over 4 times. The results reveals that the effect of interleaved practice appeared in similar types in the same domain, but the effect of interleaved practice did not appear in different types in different domain. In addition, through this result, it was confirmed that the effect of interleaved practice was due to the 'Discriminative-contrast hypothesis' rather than the 'Distributed-practice hypothesis'. Further research topics were suggested after the issues on the research method and the findings were discussed.

Analysis of Mathematical Communication in Building-Block Lessons for 2nd Graders (2학년 쌓기나무 수업에서의 수학적 의사소통 분석)

  • Chang, Hyewon
    • School Mathematics
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    • v.17 no.2
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    • pp.223-239
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    • 2015
  • This study focused on classroom dialogue for communicating spatial information which is supposed to be implemented through learning activities using building-blocks. Even though mathematics textbooks for $2^{nd}$ graders have activities which require abilities of explaining and understanding some spatial information, we know few about how mathematical communication between teacher and students or among students and which strategies are more effective. For this reason, two building-block lessons for $2^{nd}$ graders were observed. The characteristics of teachers' instruction and students' explanation were identified and the mathematical communication between teachers and students or among students was analyzed. As a result, mains factors of impeding students' explanation and understanding were induced and the types of their communication were classified. Based on these results, several teaching strategies for effective communication in buildingblock lessons were suggested.

EEG Feature Engineering for Machine Learning-Based CPAP Titration Optimization in Obstructive Sleep Apnea

  • Juhyeong Kang;Yeojin Kim;Jiseon Yang;Seungwon Chung;Sungeun Hwang;Uran Oh;Hyang Woon Lee
    • International journal of advanced smart convergence
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    • v.12 no.3
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    • pp.89-103
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    • 2023
  • Obstructive sleep apnea (OSA) is one of the most prevalent sleep disorders that can lead to serious consequences, including hypertension and/or cardiovascular diseases, if not treated promptly. Continuous positive airway pressure (CPAP) is widely recognized as the most effective treatment for OSA, which needs the proper titration of airway pressure to achieve the most effective treatment results. However, the process of CPAP titration can be time-consuming and cumbersome. There is a growing importance in predicting personalized CPAP pressure before CPAP treatment. The primary objective of this study was to optimize the CPAP titration process for obstructive sleep apnea patients through EEG feature engineering with machine learning techniques. We aimed to identify and utilize the most critical EEG features to forecast key OSA predictive indicators, ultimately facilitating more precise and personalized CPAP treatment strategies. Here, we analyzed 126 OSA patients' PSG datasets before and after the CPAP treatment. We extracted 29 EEG features to predict the features that have high importance on the OSA prediction index which are AHI and SpO2 by applying the Shapley Additive exPlanation (SHAP) method. Through extracted EEG features, we confirmed the six EEG features that had high importance in predicting AHI and SpO2 using XGBoost, Support Vector Machine regression, and Random Forest Regression. By utilizing the predictive capabilities of EEG-derived features for AHI and SpO2, we can better understand and evaluate the condition of patients undergoing CPAP treatment. The ability to predict these key indicators accurately provides more immediate insight into the patient's sleep quality and potential disturbances. This not only ensures the efficiency of the diagnostic process but also provides more tailored and effective treatment approach. Consequently, the integration of EEG analysis into the sleep study protocol has the potential to revolutionize sleep diagnostics, offering a time-saving, and ultimately more effective evaluation for patients with sleep-related disorders.

Design Strategy for the Implementation of Cooperative Group Games in Motion Based Arcade Game System

  • Joh, Yun-Sook
    • International Journal of Contents
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    • v.7 no.4
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    • pp.10-18
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    • 2011
  • Cooperative Group Games (CGG) emphasize participation, challenges and fun by cooperation among group members rather than competition. CGGs have been proven to be an efficient education method that teaches the value of cultivating cooperation skills, discipline, and sense of public order for tackling problems together through various types of interactions. When integrated with computer game technology, the general classic CGG can be reborn with new educational and entertaining aspects. To combine the joy of physical movement of group games and the richness of computer game contents, a motion based arcade CGG has been developed in this study, based on the original ideas and structures of classic off-line CGGs. While implementing the classic game concepts in arcade environment, various design attributes have been considered and applied, which were supposed to promote cooperative game play. Overall, the process of the implementation and test results of our four CGGs suggest several design strategies for effective arcade CGGs.