• 한국의류학회지
• /
• 제45권2호
• /
• pp.271-284
• /
• 2021

This study presents the educational utility of blended learning by analyzing the effectiveness of learning after class by blending team project learning and smart device app-based learning methods. Qualitative analysis and survey analysis were conducted and the results were as follows. First, team project activities based on task resolution were conducted freely through detailed activities such as sharing roles, planning meetings, and coordinating opinions. Team activities were carried out with respect and consideration, team member bonding, and a sense of responsibility. Second, the smart device app is recognized as a medium for work and communication, and fast feedback has been made, making it highly impactful on classroom activities. Third, in terms of learning satisfaction, most learners showed an interest in the course and were satisfied with the project results. The smart device app was used as a learning and communication medium for personal and team activities and was analyzed as a blended method applicable to classes that conduct practical activities as an efficient tool to further activate project activities.

• 한국IT서비스학회지
• /
• 제22권4호
• /
• pp.141-157
• /
• 2023

The present work aimed to present the development of 'Funt', the augmented reality-based digital app as an educational tool for foreign language learning. Our work further evaluated the learning efficacy of the tool by the assessment of the three dependent measures including learning motivation, learning satisfaction, and learning involvement. With a learning app of 'Funt', students can use AR app to access recognition-based or location-based experiences such that any objects, artifacts, or media appear to be in the app. Students are then able to interact with the digital content by manipulating it to learn more about it. Students's engagement should also increase when they create their own experience in AR to demonstrate their understanding of a particular concept or words. Learning effects were evaluated on survey data collected from a hundred respondents aging six to nine years. One-group design for pre-test and post-test was utilized to examine the differences of learning efficacy by comparing the non-'Funt' group and the Funt group scores. A pairwise t-Test was performed for pairwise comparisons between two learning groups. The results indicate that the 'Funt' group scored significantly higher than the non-'Funt' group in the measures of learning motivation, learning satisfaction, and learning involvement. Overall, our results suggest that 'Funt' attracted the students' attention, provided them with a fun context to learn English vocabulary, and develop positive motivation and satisfaction towards vocabulary learning through AR technology.

• 한국멀티미디어학회논문지
• /
• 제21권12호
• /
• pp.1526-1533
• /
• 2018

This study aims to provide implications for mobile foreign language vocabulary learning app by analyzing the effects of mobile vocabulary learning app based on character animation. For this purpose, we applied the learning application designed with character animation and text, and the application designed with text only to two groups of learners, and analyzed the effect. As a result, we found that application designed with character animation and text was useful in recognition frequency and duration concerning learning. Regarding learning outcomes, we found that it is useful not only in memory but also in learning interest and motivation. This study provides implications for learning method and design development of mobile-based foreign language vocabulary learning application which actively using recently.

• 디지털융복합연구
• /
• 제11권12호
• /
• pp.821-828
• /
• 2013

본 논문에서 제안한 문화유산 체험학습에 최적화된 스마트폰 APP인 CHELS-App은 단순한 관광지안내 서비스를 벗어나 스마트폰을 활용하여 문화유산을 체험하고 제시되는 퀘스트를 통하여 미션을 즐기면서 학습과 관광을 동시에 체험할 수 있도록 구성하였다. CHELS-App은 세계문화유산으로 지정되어 있는 종묘를 대상으로 위치기반 서비스를 이용한 안내지도와 이벤트 푸쉬기능을 이용한 현장에서의 다양한 문화해설(해설, 사진, 퀴즈, 게임, 카툰)을 제공하고 이러한 체험을 통한 발도장 기능, 체험일지 작성 기능을 구성하였다.

• 한국정보전자통신기술학회논문지
• /
• 제11권4호
• /
• pp.355-361
• /
• 2018

최근 ICT 기술 기반의 다양한 학습 도구를 이용해 학습 능력을 높이려고 하고 있다. 게임과 같은 응용프로그램을 강의식 수업과 병행하여 수업에서 대한 흥미를 유발하고 스마트 폰 앱을 학습 도구로 활용하여 학습 효과를 높이고 있다. 뿐만 아니라 조기 코딩 교육을 통해서 창의적 사고능력, 문제해결 능력, 논리적 사고능력를 키우고자 노력하고 있다. 본 논문에서는 앱 인벤터를 활용한 학습 및 퀴즈 앱으로 수업을 진행하고 개발된 앱을 설명한 후 앱 관련 설문을 진행하였다. 개발된 앱을 활용하여 예비 유아교사에게 교육철학에 대한 학습을 진행 하였고 그 앱에 대한 설명과 앱 인벤터를 활용하여 유아 교육에 활용할 수 있도록 교육하였다. 설문을 통해서 학습 효과 및 유아 교육에서 활용 의사를 확인하였다. 본 연구를 통해서 앱 인벤터로 개발된 앱으로 유아 교사 학습 능력 향상 및 유아 교육에서 코딩을 활용할 수 있도록 하고자 한다.

• 한국융합학회논문지
• /
• 제12권4호
• /
• pp.171-177
• /
• 2021

본 논문의 목적은 줌을 기반으로 학습용 앱 활용이 학습자들의 영어 성취도에 미치는 영향을 살펴보고 이를 통해 줌 기반의 학습용 앱을 활용한 영어 수업의 효율성을 고찰하고자 한다. 본 연구는 줌 기반 수업에서 English Central 앱을 활용하였으며 이를 통해 다양하면서도 학습자들의 참여를 유도하는 영어 활동을 수행하였다. 줌 기반의 EC 앱 활용 수업의 효율성을 파악하기 위해 1차와 2차 성취도 테스트, 개방형 설문조사를 실시하였다. 두 차례의 테스트 결과 줌 기반의 EC 앱 활용 수업은 학습자들의 영어 성취도에 긍정적인 영향을 미치는 것으로 나타났다. 설문 조사결과 학습자들은 줌 기반 수업과 EC 앱 활용에 대해 만족도가 높은 것으로 나타났다. 줌 기반 수업에 대한 만족의 이유는 "부족한 수업 내용 보완", "영어 연습", "실시간 소통과 의견 공유" 으로 나타났다. 학습용 앱 활용에 대해 만족하는 이유는 "지루하지 않음", "영어의 4기술 훈련", "즉각적인 피드백"으로 나타났다. 변화된 언택트 시대 교수자들은 변화된 환경에 맞는 변화된 수업 도구의 효율적 사용을 위해 노력해야 한다.

• 대한임베디드공학회논문지
• /
• 제8권1호
• /
• pp.11-16
• /
• 2013

With the development and general use of a variety of Android/iOS-based smart phones and smart pads, the existing e-learning contents need to be changed in such a way that they can be carried out on different smart device platforms. This paper shows what changes are needed for that aim, and, in particular, for the compatibility of different platforms by designing and implementing Android/iOS-based smart learning contents in the form of a hybrid app. This paper will hopefully help you consider what elements are required to develop smart-learning contents on a variety of platforms for mobile devices.

• 정보교육학회논문지
• /
• 제20권5호
• /
• pp.519-526
• /
• 2016

MIT의 App Inventor 2는 스크래치나 Alice와 같은 블록-기반 프로그래밍 언어로 학생들이 CT의 개념과 기능을 갖추도록 하는데 있어 매우 유용하게 사용될 수 있는 도구이다. 스크래치 프로그래밍은 프로그램 작성과 실행이 대부분 컴퓨터상에서 이루어지는 반면에 App Inventor 2는 컴퓨터상에서 프로그램을 작성하는 중간에 스마트폰으로 그때까지의 결과를 직접 확인하고 즉각적인 피드백을 받으면서 프로그래밍을 하기 때문에 더 좋은 학습 효과를 기대할 수 있다. 이 연구에서는 학생들의 App Inventor 2 학습이 학생들의 CT 기능 향상에 기여하는지를 규명하기 위해 CT 개념 중 네 가지 핵심 개념을 추출하여 App Inventor 2 학습에서 이 네 가지 개념이 어떻게 구현되는지를 보인다.

• Educational Technology International
• /
• 제23권2호
• /
• pp.183-205
• /
• 2022

Mental status examination is an important stage in the assessment process because it serves as the foundation for establishing nursing diagnosis and intervention. Until now many students still feel difficult to understand the terms in the assessment of mental status. Interactive Mobile Learning in one of the media that is currently being developed. The use of this media will provide more in-depth learning opportunities, and students can practice their skills in carrying out practicals because of the mobility principle possessed by smartphones. The purpose of this study was to develop a smartphone-based app and evaluate the app's effectiveness by measuring nursing students' knowledge of mental status examination. Design: A randomized trial with a pre-and post-test design was conducted at a university in Indonesia. A total of seventy junior nursing students participated in this study. The intervention group received a smartphone-based app, and the control group received one-time lecture-based learning. We offered the experimental group the app and information about how to use it, and we encouraged them to use it. The control group received classroom instruction. Results: The intervention group scored significantly higher than the control group on knowledge score (t = 19.40, p = 0.000) and satisfaction with the learning method (t = 0.640, p = 0.021) Conclusion: These findings suggest that smartphonebased education could be an effective method in nursing education for teaching mental status examinations.

• ETRI Journal
• /
• 제43권1호
• /
• pp.95-108
• /
• 2021

Application (app) ratings are feedback provided voluntarily by users and serve as important evaluation criteria for apps. However, these ratings can often be biased owing to insufficient or missing votes. Additionally, significant differences have been observed between numeric ratings and user reviews. This study aims to predict the numeric ratings of Google apps using machine learning classifiers. It exploits numeric app ratings provided by users as training data and returns authentic mobile app ratings by analyzing user reviews. An ensemble learning model is proposed for this purpose that considers term frequency/inverse document frequency (TF/IDF) features. Three TF/IDF features, including unigrams, bigrams, and trigrams, were used. The dataset was scraped from the Google Play store, extracting data from 14 different app categories. Biased and unbiased user ratings were discriminated using TextBlob analysis to formulate the ground truth, from which the classifier prediction accuracy was then evaluated. The results demonstrate the high potential for machine learning-based classifiers to predict authentic numeric ratings based on actual user reviews.