• 한국IT서비스학회지
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• 제20권4호
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• pp.129-140
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• 2021

Recently, interest in AI tutors is rising as a way to bridge the educational gap in school settings. However, research confirming the effectiveness of AI tutors is lacking. The purpose of this study is to explore how effective learner characteristics and recommended item learning activities are in predicting learner's academic performance in an adaptive online learning environment. This study proposed the hypothesis that learner characteristics (prior knowledge, midterm evaluation) and recommended item learning activities (learning time, correct answer check, incorrect answer correction, satisfaction, correct answer rate) predict academic achievement. In order to verify the hypothesis, the data of 362 learners were analyzed by collecting data from the learning management system (LMS) from the perspective of learning analytics. For data analysis, regression analysis was performed using the regsubset function provided by the leaps package of the R program. The results of analyses showed that prior knowledge, midterm evaluation, correct answer confirmation, incorrect answer correction, and satisfaction had a positive effect on academic performance, but learning time had a negative effect on academic performance. On the other hand, the percentage of correct answers did not have a significant effect on academic performance. The results of this study suggest that recommended item learning activities, which mean behavioral indicators of interaction with AI tutors, are important in the learning process stage to increase academic performance in an adaptive online learning environment.

• 한국응용과학기술학회지
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• 제41권2호
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• pp.305-317
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• 2024

본 연구는 온라인 플랫폼을 활용한 건강사정 학습 프로그램이 간호 대학생의 문제해결과정, 비판적 사고 성향, 수업참여도 및 수업몰입도에 미치는 효과를 알아보기 위한 단일집단 사전사후설계(one-group pretest-posttest design)를 적용한 원시실험연구(pre-experimental research)이다. 연구 대상자는 C북도 G군 소재 J대학교 건강사정 및 실습 교과목을 수강하는 간호학과 2학년 학생 52명을 대상으로 온라인 플랫폼을 활용한 건강사정 학습 프로그램 참여 전·후 자료를 수집하였다. 분석한 결과, 문제해결과정(t=-2.569, p=.013), 비판적 사고 성향(t=-5.363, p<.001), 수업참여도(t=-4.429, p<.001), 수업몰입도(t=-3.747, p<.001)가 프로그램 참여 전·후 통계적으로 유의하게 향상된 것으로 나타났다. 따라서 건강사정 수업 시 간호 대학생들의 문제해결과정, 비판적 사고 성향, 수업참여도, 수업몰입도 향상을 위해서 온라인 플랫폼을 활용한 학습 프로그램을 활용할 수 있을 것으로 사료된다.

• 한국콘텐츠학회논문지
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• 제10권4호
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• pp.458-470
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• 2010

IT의 활용이 사회 전 영역에서 널리 사용됨에 따라 요사이 학교교육의 보완적 교육환경으로 언급되는 박물관에서도 가상박물관이라는 일종의 박물관 웹사이트가 등장하면서, 박물관의 교육적 기능과 역할을 더욱 강화시킬 수 있는 가능성에 주목받고 있다. 이에 본 연구에서는 웹 1.0에서 웹 2.0으로의 웹의 진화과정에 따라 가상박물관의 역할과 기능에서도 어떤 변화가 이루어지는지를 살펴보았으며, 특히 현재 국내외 가상박물관의 사례분석 및 문헌에 대한 분석 결과를 기반으로 가상박물관이 지닌 교육적 구성요소를 도출하고, 각각의 요소에 대한 교육적 활용방안들을 모색해보았다. 그 결과, 웹 2.0 기반의 가상박물관은 디지털 아카이브, 학습용 자료, 그리고 박물관을 중심으로 이루어지는 커뮤니티의 세 가지 기능과 역할로 요약될 수 있었으며, 이들 각각 요소에 대한 교육적 활용방안을 제공하였다. 궁극적으로 본 연구가 지향하는 바는 가상박물관을 학교교육의 보완적 교육환경을 넘어서, 차세대 온라인 교육환경으로 인식할 수 있는 토대를 제시하고자 하는 것이다.

• 한국방사선학회논문지
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• 제10권8호
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• pp.637-643
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• 2016

최근 인공지능에 대중의 관심으로 인해, 인공신경망을 사용한 의료영상 처리가 학계와 산업계에서 관심이 커져가고 있다. 딥러닝을 이용한 컨볼루션 신경망은 영상을 효과적으로 표현할 수 있는 것으로 증명되었다. 그러나 학습을 위해서는 고성능 H/W 플랫폼이 요구된다. 따라서 고차원의 많은 학습 샘플을 저사양 H/W 플랫폼에서 학습하는 것은 매우 도전적인 문제이다. 본 논문에서는 온라인 인공 신경망을 사용해 라즈베리파이에서 동작할 수 있는 실시간 신경망 알고리즘을 제안하고자 한다. 다양한 실험 결과를 통해 제안된 방법은 실시간 학습이 가능함을 보여주었다.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2019년도 제60차 하계학술대회논문집 27권2호
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• pp.413-414
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• 2019

최근 프로그래밍 교육의 중요성이 강조되고 있지만 수업시수 문제로 학교 수업시간만으로는 성과를 거두기는 어렵다. 온라인 채점 시스템은 학생의 코드를 평가하고 피드백을 제공해주기 때문에 자기주도적인 프로그래밍 학습에 도움을 줄 것으로 생각된다. 본 연구에서는 온라인 채점 시스템을 사용해서 C 프로그래밍 기초 학습을 한 학생들을 대상으로 학생들의 제출코드와 피드백을 분석하려고 하며, 학생들의 프로그래밍 학습경험과 학습참여도 등을 조사하여 대상학생을 선정하고, 데이터를 수집하였다. 그리고 대상 학생들의 소스코드 및 피드백을 분석하여 자기주도학습 과정을 분석하고, 문제개선의 기초자료로 활용할 수 있음을 제언한다.

• International Journal of Knowledge Content Development & Technology
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• 제12권4호
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• pp.105-117
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• 2022

The study investigated digital literacy skills and utilization of online platforms for teaching by LIS educators in universities in Rivers State, Nigeria. The study was undertaken as a descriptive survey design. Three research questions and three hypotheses guided this study. The population of the study was twenty-six Lecturers from the three universities in Rivers State where library and information science are offered. The twenty-six constitute the sample size. Census sampling technique was adopted for the study. The instrument titled Digital Literacy Skills and Utilization of Online Platform for Teaching Questionnaire (DLSOPUQ) was used to elicit information from the respondents. Twenty-six copies of the questionnaire were administered and retrieved. Mean (${\bar{x}}$) was used to analyze the research questions and the null hypotheses was tested with t-test at 0.05 level of significance. The study revealed that there is no significant difference between digital literacy and utilization of online platforms for teaching by LIS educators in universities in Rivers State. Further findings revealed that LIS educators do not have the necessary skills to navigate the online environment for teaching without assistance. In conclusion LIS educators should be innovative and update their skills to meet up with global practice. It was recommended among others that LIS educators should be trained and retrained by the university management to cope with online teaching and provision of the right infrastructure by governments for effectives teaching and learning process.

• 한국멀티미디어학회논문지
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• 제23권12호
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• pp.1464-1475
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• 2020

Due to the spread of COVID-19, the online lecture has become more prevalent. However, it was found that a lot of students and professors are experiencing lack of communication. This study is therefore designed to improve interactive communication between professors and students in real-time online lectures. To do so, we explore deep learning approaches for automatic recognition of students' facial expressions and classification of their understanding into 3 classes (Understand / Neutral / Not Understand). We use 'BlazeFace' model for face detection and 'ResNet-GRU' model for facial expression recognition (FER). We name this entire process 'Degree of Understanding (DoU)' algorithm. DoU algorithm can analyze a multitude of students collectively and present the result in visualized statistics. To our knowledge, this study has great significance in that this is the first study offers the statistics of understanding in lectures using FER. As a result, the algorithm achieved rapid speed of 0.098sec/frame with high accuracy of 94.3% in CPU environment, demonstrating the potential to be applied to real-time online lectures. DoU Algorithm can be extended to various fields where facial expressions play important roles in communications such as interactions with hearing impaired people.

• 산경연구논집
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• 제9권2호
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• pp.65-72
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• 2018

Purpose - One of the biggest problems in the e-learning distribution process is the lack of quality content and learners' discredit in e-learning content. In order to respond to the various demands of the corporate education field appropriately, it is necessary to search for directions of new e-learning models that are out of traditional e-learning contents. The purpose of this study is to identify recent trend issues related to corporate e-learning and to suggest directions for development. Research design, data, and methodology - Based on the literature review, trend issues that should be considered important in corporate e-learning were derived. Online survey was conducted to evaluate the importance-feasibility of each issue to 13 experts on e-learning and corporate education. The contents of the questionnaire are as follows: 1) recognition of importance and feasibility of trend issues to be considered important in the future corporate education field; 2) factors to be considered in developing future e-learning contents. Results - Six trends derived from a comprehensive literature review. The most important e-learning trends for corporate education field were 'mobile learning', 'micro learning', 'blended learning', 'social learning', 'adaptive learning', 'engaged learning'. As a result of evaluating the importance and feasibility of each issue, experts point out that 'mobile learning' and 'micro learning' should be actively considered for introduction and utilization at present. In addition, 'social learning' and 'blended learning' need to be actively considered in the near future. On the other hand, experts recognized that 'adaptive learning' and 'engaged learning' need to be prepared from a long-term perspective. Conclusions - There are two main reasons for this result. First, in corporate e-learning, it is important to 1) be able to update on time, 2) the connection with the workplace is important. Second, it requires realistic verification of the expected performance of the learning model. To be considered part of the future are as follows: First, the value and effectiveness of the new e-learning type should be studied. Seconds, e-learning contents should be developed through adopting SAM or Agile methodology. Through this process, we would be able to enhance the quality in e-learning content.

• 대한간호학회지
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• 제36권2호
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• pp.286-298
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• 2006

Purpose: This study was to develop an online 'alternative therapy and health promotion' class for university students and to evaluate its changes. Method: The online class was developed based on the Instructional Systems Development(ISD) model and model of Web-Based Instruction(WBI) developmental process. This was a quasi-experimental, one group pretest-posttest design. The subjects of this study were 130 students in 3 universities, and they were provided the cyber class for 16 weeks. Data was analyzed by descriptive and plural answer statistics, and paired t-test. Results: The cyber class was developed in five steps : analysis, design, data collection and reconstruction, programing and publishing, and evaluation. The results of program evaluation were positive, which included learning 3.47. system 3.57, and learning satisfaction 3.64 on the scale of 5. The posttest scores of cognition and reliability of alternative therapy were higher than pretest scores. The posttest score of health promoting lifestyle(t=-5.051, p=.000) and perceived health status(t=2.979, p=.003) were significantly higher than those of the pretest. Conclusion: These results suggest that the cyber class is a positive method in increasing a cognition, reliability of alternative therapy, and is effective to improve a health promotion lifestyle and perceived health status for the university students.

• 한국컴퓨터정보학회논문지
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• 제28권8호
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• pp.145-153
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• 2023

본 연구는 간호과정 및 비판적사고 수업에서 문제중심학습 방법을 한 학기 동안 적용하여 적용 전·후에 간호대학생의 비판적 사고성향, 협력적 자아효능감 및 간호과정 자신감에 미치는 효과를 확인하기 위해 수행되었다. 본 연구는 단일군 사전·사후 설계이다. 연구 대상자는 G시의 간호학과 2학년을 대상으로 온라인 설문지를 이용하여 수집하였고 108명이 최종 참여하였다. 연구결과 비판적 사고성향(t=-4.24, p=.000)과 협력적 자아효능감(t=-3.08, p=.003) 및 간호과정 자신감(t=-13.99, p=.000)은 통계적으로 유의하게 상승했다. 이 결과는 문제중심학습이 비판적 사고성향, 협력적 자아효능감 및 간호과정 자신감에 효과가 있음을 의미한다. 따라서 문제중심학습(PBL)을 간호교육에 확대하여 적용한다면 간호대학생의 핵심역량을 높이는데 효과적일 것이라고 사료된다.