• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.6
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• pp.597-604
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• 2020

This is a narrative research study conducted on the subject in order to understand the relationship between the meta-cognition, learning flow, and problem solving ability of nursing students in online class, and to find out the factors that influence problem solving ability, 88 students enrolled in 2nd and 3rd grade students who participated in online classes at G city universities. The analysis method was analyzed by means, standard deviation, t-test, one-way ANOVA, Pearson correlation, and stepwise multiple regression using SPSS version WIN 23.0. As a result of the study, the difference between learning flow and problem-solving ability according to general characteristics was significantly different depending on the perception of nurses after learning and the motivation for admission to the department of nursing, and the problem-solving ability was positively correlated with metacognition and learning flow. There was a relationship, and metacognition and learning flow were significant variables that influenced problem solving ability. The conclusion of the study is considered to be the basic data for the development of a systematic program that can increase the learning flow and meta-cognition to increase problem solving ability amid the change from nursing education to online classes, and to change the teaching method.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.11a
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• pp.337-339
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• 2011

본 연구에서는 EPUB기반의e-Book 콘텐츠를 스마트러닝환경에서학습객체로 활용하고자한다. 이를 위해e-Book의 표준인 EPUB을 분석하여 SCORM의 콘텐츠 모델을 적용하여 확장 설계하였으며, 더블린코어와 LOM 메타데이터를 Collection Map을 이용하여 EPUB 기반의 학습객체메타데이터인ELOM을 설계하였다. EPUB기반의 학습객체가 LMS에서 추적관리가 가능하도록 SCORM2004의 CMI 데이터 모델을 바탕으로 학습객체 특성에 맞는 기본 데이터 모델을 정의하였다. 설계된 학습객체의 운용 가능성을 평가하기 위해 EPUP기반 오픈소스 콘텐츠인 모비딕의 bodymatter를 학습객체로 재구현한 후 ADL의 SCORM2004 $4^{th}$ Test Suite1.1.1을 이용하여 검증하였다. 본 연구에서 설계된 ELOM은 스마트 스크린으로 확장하여 적용할 수 있다.

• Journal of The Korean Association of Information Education
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• v.18 no.2
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• pp.225-234
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• 2014

Robot programming allows students to plan an algorithm in order to solve a task, implement the algorithm, easily confirm the results of the implementation with a robot, and correct errors. Thus, robot programming is a problem solving process based on reflective thinking, and is closely related to students' metacognition. On this point, this research is conducted to develop a robot programming instructional model for tile enhancement of students' metacognition. The instructional processes of robot programming are divided into 5 stages (i.e., 'exploration of learning tasks', 'a teacher's modeling', 'preparation of a plan for task performance along with the visualization of the plan', 'task performance', and 'self-evaluation and self-reinforcement'), and core strategies of metacognition (i.e., planning, monitering, regulating, and evaluating) are suggested for students' activities in each stage. Also, in order to support students' programming activities and the use of metacognition, instructional strategies based on cognitive apprenticeship (i.e. modeling, coaching and scaffolding) are suggested in relation to the instructional model. In addition, in order to support students' metacognitive activities. the model is designed to use self-questioning, and questions that students can use at each stage of the model are presented.

• Journal of Industrial Convergence
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• v.21 no.9
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• pp.89-102
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• 2023

This study was a one group, pre-post test design experimental study to identify the effects of problem-based learning applied to adult nursing subjects on meta-cognition, problem solving, professional self-concept and self-directed learning of nursing students. The participants were 60 fourth grade students who had registered for adult nursing class from a nursing university in D metropolitan city, the data were collected from September to December, 2022. The adult nursing class model was designed based on the ADDIE model suitable for PBL. The class period was conducted for 15 weeks, with 8 weeks of lectures, 2 weeks of exams, and 5 weeks of Barrow and Myers 5-step PBL learning. The collected data were analyzed using the SPSS/WIN 20.0 Program, and paired t-test was used to test the differences between variables before and after the intervention. There was a statistically significant difference in metacognition(t=-8.04, p<.001), problem solving(t=-4.08, p<.001), professional self-concept(t=-4.67, p<.001) and self-directed learning(t=-4.69, p<.001) between pre and post problem based learning. Therefore, our result recommend that to apply problem-based learning in various major subjects to strengthen nursing students' metacognition, problem-solving, professional self-concept, and self-directed learning skills.

• Journal of Christian Education in Korea
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• v.76
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• pp.259-280
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• 2023

Purpose of study: This study aims to analyze the educational use of metaverses among pre-service nursing teachers at a university and explore the implications of designing and operating effective metaverse lessons. Research content and method: This study collected and analyzed data on the experiences and perceptions of 32 pre-nursing teachers enrolled in J University, a very small Christian-based university in Jeonju, Jeollabuk-do, Korea, who participated in a class using metaverses. And based on this, we analyzed the advantages, difficulties, and improvements of the class, differences from classes using Zoom, impressions of the class, and suggestions for effective classes. Conclusions and Suggestions: As a result of analyzing various aspects of perceptions and experiences of classes utilizing the metaverse, it was found that in order to conduct effective classes utilizing the metaverse, it is necessary to check the infrastructure for communication and devices before class, select a metaverse platform according to the goals and contents of the course, and build a space for educational activities. In addition, it was found that it is necessary to provide guidance on how to use the metaverse and conduct sufficient training before running classes with learner-centered teaching methods. In the future, it is expected that systematic research on the principles and teaching-learning models of classroom design using the metaverse will continue to be conducted.

• Journal of The Korean Association For Science Education
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• v.19 no.2
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• pp.229-238
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• 1999

This study investigated the influences of Vee diagram and regulative metacognitive learning strategies upon 6th-graders' achievement, difficulty toward science lesson, self-efficacy, and learning approach. The Vee diagram and regulative metacognitive learning strategies were modified in a pilot study. Before instruction, an achievement test was administered, and its score was used as a blocking variable. A previous science grade was used as a covariate for post-achievement. Tests of difficulty toward science lesson, self-efficacy, and learning approach were also administered, and the test scores were used as covariates. After instruction, a researcher-made achievement test and post-tests of the above variables were administrated. Two-way ANCOVA results revealed that although there were no significant differences in the achievement test scores, the application subtest scores of the two treatment groups were significantly higher than those of the control group. There were no significant differences in the difficulty toward science lesson and learning approach, but self-efficacy scores for the students with Vee diagram and regulative metacognitive learning strategies were significantly higher than those of the other groups. The perceptions of the students using Vee diagram were also analyzed.

• Journal of the Korea Society of Computer and Information
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• v.28 no.11
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• pp.81-87
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• 2023

Intrusion detection systems that learn metadata of network packets have been proposed recently. However these approaches require time to analyze packets to generate metadata for model learning, and time to pre-process metadata before learning. In addition, models that have learned specific metadata cannot detect intrusion by using original packets flowing into the network as they are. To address the problem, this paper propose a natural language processing-based intrusion detection system that detects intrusions by learning the packet payload as a single sentence without an additional conversion process. To verify the performance of our approach, we utilized the UNSW-NB15 and Transformer models. First, the PCAP files of the dataset were labeled, and then two Transformer (BERT, DistilBERT) models were trained directly in the form of sentences to analyze the detection performance. The experimental results showed that the binary classification accuracy was 99.03% and 99.05%, respectively, which is similar or superior to the detection performance of the techniques proposed in previous studies. Multi-class classification showed better performance with 86.63% and 86.36%, respectively.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.10a
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• pp.384-389
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• 1998

본 논문은 특정 응용에 적합한 퍼지 제어기의 최적 설계 파라메터(퍼지 규칙과 소속 함수)를 찾는데 역전파 학습 과정과 유전 알고리즘을 결합한 Lamarckian 상호적응 기법을 이용한 뉴로-퍼지 제어기의 새로운 설계 방법을 제안한다. 설계 파라메타들은 진화에 의한 전역적 탐색을 통해 높은 포함값과 유용한 퍼지 규칙들을 갖는 규칙 베이스와 작은 근사화 오차와 좋은 제어 성능을 갖는 소속 함수들을 얻도록 제어기간 파라메타 조절을 수행하며, 학습에 의한 국부적 탐색을 통해 각 퍼지 제어기가 원하는 제어 결과를 나타내도록 제어기내 파라메타 조절을 수행한다. 제안한 상호적응 설계 방법은 유전 알고리즘의 모든 세대에서 역전파 학습이 이루어지므로 보다 좋은 근사화 능력을 나타나고, 사용한 무게 중심 비퍼지화기가 정확한 비퍼지화값을 계산하므로 보다 좋은 제어 성능을 가지며, 퍼지 규칙 베이스와 소속 함수들의 최적화 탐색 과정이 입출력 공간의 같은 퍼지 분할 상에서 통합된 적응 함수에 의하여 동시에 수행되므로 탐색을 위한 작업 공간이 아주 작아지는 장점이 있다. 시뮬레이션 결과는 Lamarckian 상호 적응에 의해 얻어진 FLC가 퍼지 규\ulcorner 수, 근사화 능력, 제어 성능등 모든면에서 다른 방법에 의해 얻어진 FLC보다 가장 우수함을 보여준다.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.2
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• pp.77-94
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• 2023

This study aims to determine the factors that affect learning satisfaction and continuous use intention in metaverse-based non-face-to-face classes. Therefore, a hypothesis was established based on the technology acceptance model and information system success model, and a survey was conducted from November 22, 2021 to January 03, 2022 for students who had class experience using Gather.town-a metaverse platform. PLS Structural Equation was conducted on 122 copies, excluding the questionnaires with insincere responses. The results reveal that "all platform quality" factors influenced "easiness," "content quality" influenced "usefulness," "easiness" influenced "usefulness," "easiness" and "usefulness" influenced "learning satisfaction," "usefulness" and "learning satisfaction" had a positive effect on "continuous use intention." This study is significant because it empirically analyzes the variables that affect learning satisfaction and continuous use intention in metaverse-based non-face-to-face classes. In follow-up studies, additional research is required on the variables that affect learning satisfaction and continuous use intention targeting various metaverse-based platforms, including Gather.town.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10a
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• pp.72-76
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• 2006

정보통신 기술의 발전은 양방향의 참여 문화를 형성하고 있다. e-러닝의 환경도 웹 기반의 환경에서 모바일 환경과 방송과 융합된 네트워크 환경으로 변화되며, e-러닝도 학습자의 직접 참여를 요구하는 교수-학습 교수법을 제공하고 있다. 다양한 네트워크 환경에서 원하는 정보를 생성, 추출하고 다른 사람과 의사소통할 수 있어야 한다. e-러닝의 발전으로 복합적 사고와 고차원적인 인지 사고를 위해 학습자 주도의 개별적자율적 학습, 협력적(collaborative)학습을 제공할 수 있다. 즉, e-러닝의 웹 기반에서 발전하여 무선 네트워크 환경으로의 변화가 학습 환경도 시간적, 공간적으로 자유로울 수 있는 모바일 환경(mobile environment)에서 방송과 통신이 융합되고 나아가 유비쿼터스 환경(ubiquitous environment)으로 전환되고 있다. 본 논문에서는 e-러닝의 콘텐트를 다양한 디지털 기기에 따라 재사용하고 재구성하여 제공할 수 있도록 메타데이터 맵핑 구조에 대해 연구하고자 한다.