• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.2
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• pp.271-284
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• 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.

• Journal of Information Technology Services
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• v.22 no.4
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• pp.141-157
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• 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.

• Journal of Korea Multimedia Society
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• v.21 no.12
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• pp.1526-1533
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• 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.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.821-828
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• 2013

This paper proposed CHELS-App that Smart-phone APP optimized cultural heritage experiential learning is configured can learning and sightseeing at the same time with experience the cultural heritage and enjoying the mission through quests to take advantage of the Smart-phone. CHELS-App is provide a guide maps by using the location-based service and cultural commentary(commentary, photos, quizzes, games, cartoon) with capability of event push about the Jongmyo Shrine as world heritage, and configured with capability of experience diary create and foot stamp through these experiences.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.4
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• pp.355-361
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• 2018

Recently, there are efforts to improve my learning ability by using various learning tools based on ICT technology. The application such as games is used in conjunction with lecture class to induce interest in the class and to enhance the learning effect by using smartphone app as learning tool. In addition, we are trying to improve creative thinking ability, problem solving ability and logical thinking ability through early coding education. In this paper, we describe the learning and quiz app using the app inventor and conducted the related questionnaire. We developed a learning philosophy for preliminary early childhood teachers using the developed apps and taught them how to utilize them in early childhood education by explaining the apps and using the app inventor. Through questionnaires, we confirmed the learning effect and the willingness to use in early childhood education. Through this study, I hope to improve the ability of early childhood teacher learning and to utilize the coding in early childhood education with the app developed as the app inventor.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.171-177
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• 2021

This study examined how the use of learning apps in Zoom-based classes affects learners' English achievement and assessed the efficiency of app use in Zoom-based English classes. The study utilized the English Central (EC) app to induce learners to actively participate in zoom-based classes. To assess the app's efficiency, two rounds of achievement tests and an open-ended questionnaire were administered. The two tests showed that Zoom-based EC app utilization classes positively affected learners' English achievement and the questionnaire revealed that the learners were highly satisfied with using the EC app in Zoom-based classes. The participants praised this approach for "complementing insufficient class content" and facilitating "immediate feedback" (on the EC app), "English practice," and "real-time communication and sharing of opinions" (on Zoom-based classes), describing it as "not boring" and "4 skill training in English." Instructors should strive to efficiently use such new teaching tools in the evolving environment of the untact era.

• IEMEK Journal of Embedded Systems and Applications
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• v.8 no.1
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• pp.11-16
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• 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.

• Journal of The Korean Association of Information Education
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• v.20 no.5
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• pp.519-526
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• 2016

MIT App Inventor 2, much like the other block-based programming languages such as Scratch and Alice, is a useful tool that can be utilized to improve the computational thinking skills for students. The coding and the execution of program are done mainly on the computer in Scratch programming, but in App Inventor 2 programming, the students can execute the program and get immediate feedback on the smart-phone in the middle of the programming. Therefore, we can expect better enhanced learning effect. In this study, it has been claimed that the learning of App Inventor2 can strengthen the computational thinking skills of our students by extracting four core concepts of the computational thinking and then showing how these concepts are applied through the learning of App Inventor 2.

• Educational Technology International
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• v.23 no.2
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• pp.183-205
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• 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
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• v.43 no.1
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• pp.95-108
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• 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.