• 한국정보통신학회논문지
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• 제13권5호
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• pp.906-912
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• 2009

오프라인에서는 학습자와 교수자간의 직접적인 학습 내용 전달과 의사소통으로 보다 효율적인 학습이 이루어진다. 이에 가상 학습에서는 특정 학습 영역에 대한 검색 기능과 평가 후 관련 학습 영역으로의 자동 피드백 연결등의 기능으로 이러한 부분을 해결하고 있다. 그러나 검색결과에서 가장 적합한 학습 영역을 선택하고, 현재의 학습을 위해 선행되어져야 할 이전 학습 영역을 선택하는 것들이 학습자의 몫이기 때문에 학습 내용에 익숙하지 않은 학습자에겐 오프라인 학습에 비해 많은 어려움이 따른다. 본 논문에서는 학습자가 전체 학습 내용의 흐름과 단원간의 연관성 및 학습 방향을 잡는데 도움을 줄 수 있는 보다 다양한 시각에서의 색인 메커니즘을 제안한다.

• 기본간호학회지
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• 제8권2호
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• pp.244-258
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• 2001

Purpose: The purpose of this study was to develop and apply a conceptualized PBL module for Fundamentals of Nursing. Method: A case study method was used to describe and explore the Process of developing and implementing the PBL module. Result: This module included three PBL packages that were designed to deal with more complexed and indepth concepts as the packages proceeded. In order to achieved that, all the contents of Fundamentals of Nursing II and III were reorganized and integrated into three main concepts, hygiene, infection and dehydration. This module was implemented for first year college student nurses in the second semester of year 2000. The student self-evaluation results showed that they were generally satisfied with their achievement in learning, both final outcome and process. Also, the results indicated that they were more satisfied with the subject management, the lecturer and their peers after implementing PBL. Conclusion : This study demonstrated the potentiality for the application of a partially integrated PBL module within an existing subject. However, when student learning needs were beyond the extent of Fundamentals of Nursing, the lecturer had to set boundaries on learning content and this may have reduced the effects of learning. Therefore, the researchers emphasize the importance of developing an integrated PBL curriculum to maximize student learning outcomes.

• 한국초등과학교육학회지:초등과학교육
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• 제30권4호
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• pp.442-458
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• 2011

Digital textbook project is one of government-driven project to improve education due to integrating technology. Digital textbook need to be universally designed to fit for each student. Recently, universal design for learning( UDL) gains great attention as one of promising approaches for the development of the digital textbook through giving various options and flexibility to all students. UDL has three main principles, first provide multiple means of representation, second provide multiple means of action and expression, third provide multiple means of engagement. The purpose of the study is to analyze fourth grade science textbook according to three UDL guidelines and suggest implications to improve an existing science textbook. The results indicated that fourth grade science digital textbook has been partly applied UDL guidelines like implementing multimedia and multi- mode contents, learning and communication tools, and motivation strategies. But options which students can choose according to their needs and styles are insufficient and tools for expression and communication need to enhance for helping each student to overcome his/her obstacles for learning and need to be more and elaborate to support learner-centered science digital textbook.

• 간호행정학회지
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• 제17권1호
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• pp.33-43
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• 2011

Purpose: This study was done to develop a web-based diagnostic evaluation program for nurses to prevent malpractice liability. Methods: A comprehensive review of the literature and 9 specialist interviews were used to search for learning goals and content for protection for nurses from malpractice. Data on needs for learning goals were collected from 56 hospital nurses who agreed to complete a self-report questionnaire. The diagnostic program was evaluated between September 2008 and August 2009 by 35 new hospital nurses using an application of the web-based program evaluation tools by Chung (2000). Results: A comprehensive review of the literature and interviews were used to search for learning goals and content. The evaluation program was composed of the 73 questions for diagnostic evaluation under 23 learning goals and 6 grand learning goals which included the principles of law, patient's rights, legal responsibility, patient's safety, regulation on nursing practice and patient's rights protection. Evaluation of the program showed that the mean for program evaluation was 3.43 (SD=.37). Conclusion: This diagnostic evaluation program could be an efficient method for teachers and learners to improve nurses' behavior in protecting the patient's rights and preventing malpractice claims.

• 한국멀티미디어학회논문지
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• 제12권12호
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• pp.1819-1826
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• 2009

To enhance the automatic performance of existing predicting and planning algorithms that require a predefined probability of the states' transition, this paper proposes a multiple sequence generation system. When interacting with unknown environments, a virtual agent needs to decide which action or action order can result in a good state and determine the transition probability based on the current state and the action taken. We describe a sequential behavior generation method motivated from the change in the agent's state in order to help the virtual agent learn how to adapt to unknown environments. In a sequence learning process, the sensed states are grouped by a set of proposed motivation filters in order to reduce the learning computation of the large state space. In order to accomplish a goal with a high payoff, the learning agent makes a decision based on the observation of states' transitions. The proposed multiple sequence behaviors generation system increases the complexity and heightens the automatic planning of the virtual agent for interacting with the dynamic unknown environment. This model was tested in a virtual library to elucidate the process of the system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권12호
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• pp.3266-3285
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• 2023

With the popularity of online learning, intelligent tutoring systems are starting to become mainstream for assisting online question practice. Surrounded by abundant learning resources, some students struggle to select the proper questions. Personalized question recommendation is crucial for supporting students in choosing the proper questions to improve their learning performance. However, traditional question recommendation methods (i.e., collaborative filtering (CF) and cognitive diagnosis model (CDM)) cannot meet students' needs well. The CDM-based question recommendation ignores students' requirements and similarities, resulting in inaccuracies in the recommendation. Even CF examines student similarities, it disregards their knowledge proficiency and struggles when generating questions of appropriate difficulty. To solve these issues, we first design an enhanced cognitive diagnosis process that integrates students' affection into traditional CDM by employing the non-compensatory bidimensional item response model (NCB-IRM) to enhance the representation of individual personality. Subsequently, we propose an affection-enhanced personalized question recommendation (AE-PQR) method for online learning. It introduces NCB-IRM to CF, considering both individual and common characteristics of students' responses to maintain rationality and accuracy for personalized question recommendation. Experimental results show that our proposed method improves the accuracy of diagnosed student cognition and the appropriateness of recommended questions.

• International Journal of Computer Science & Network Security
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• 제24권2호
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• pp.150-154
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• 2024

In recent years, there are extensive researches on the applications of machine learning to the automation and decision support for medical experts during disease detection. However, the performance of machine learning still needs improvement so that machine learning model produces result that is more accurate and reliable for disease detection. Selecting the hyper-parameter that could produce the possible maximum classification accuracy on medical dataset is the most challenging task in developing decision support systems with machine learning algorithms for medical dataset classification. Moreover, selecting the features that best characterizes a disease is another challenge in developing machine-learning model with better classification accuracy. In this study, we have proposed an optimized decision tree model for heart disease classification by using heart disease dataset collected from kaggle data repository. The proposed model is evaluated and experimental test reveals that the performance of decision tree improves when an optimal number of features are used for training. Overall, the accuracy of the proposed decision tree model is 98.2% for heart disease classification.

• 실천공학교육논문지
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• 제16권2호
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• pp.143-150
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• 2024

With the development of AI, multimedia tools in education offer personalized learning environments, which foster individual competencies. This study aims to examine the effectiveness of smart education as perceived by learners through a case study of university writing classes utilizing multimedia learning tools, and to explore potential applications. To achieve this, a writing course incorporating various multimedia tools to promote interaction was designed and implemented over the course of one semester, targeting 42 university students. Through the semester, student reactions and survey results were analyzed to investigate the effects and satisfaction levels regarding the use of multimedia learning tools in writing instruction as perceived by students. The analysis revealed that multimedia-assisted writing classes effectively fostered learners' autonomy by focusing on individual needs, while also promoting interaction and encouraging spontaneous participation. Students reported recognizing the presence of diverse perspectives by comparing and communicating about each other's writing, leading to an expansion of their own thinking. In using ChatGPT, it was found that students attempted to refine their questions until they obtained the desired answers. They reported that this process deepened their understanding of the essence of the questions. These benefits led to results of high levels of students' active class engagement and satisfaction. This study contributes foundational and empirical data regarding the effectiveness and potential applications of learner-centered smart education as part of fourth industrial revolution integration research.

• 공학교육연구
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• 제19권1호
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• pp.21-30
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• 2016

Communication is for making a passage to communicate with various modern narratives or various people. Therefore, it needs to be reorganized by these changes and demands. Especially in case of country students learning natural science and engineering are appreciating the necessity of speaking education. So a program which contains both speaking and writing should be organized. In this writing writer used flipped learning and strategic text to fulfill evaluation items that engineering authentication requires. Also writer suggested how to lecture and planned to make a integration textbook which can foster literacy and liberal arts knowledge.

• 한국간호교육학회지
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• 제19권3호
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• pp.362-370
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• 2013

Purpose: The purpose of this study was to develop and evaluate effects of the integrative fidelity simulation curriculum. Methods: The integrative fidelity simulation curriculum was developed through meetings of experts based on nursing content. To test the application effect of simulation curriculum, a one group pre-post test design was applied. The simulation curriculum was applied with 149 nursing students who participated voluntarily. Results: In the application of satisfaction of the curriculum, learning interest in nursing and intrinsic motivation, nursing students had high scores in all evaluations. In addition, satisfaction of the curriculum had a significant positive correlation with learning interest in nursing and intrinsic motivation. Conclusion: The integrative fidelity simulation was an effective teaching tool for nursing students, and needs to develop more varied nursing simulation scenarios and curriculum.