• International Journal of Computer Science & Network Security
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• 제24권2호
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• pp.143-149
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• 2024

The role of social networking mobile applications such as WhatsApp in enhancing second language vocabulary learning among English language learners continues to be a subject of interest for many scholars. The current study aimed at examining medical English vocabulary learning among undergraduate students using WhatsApp compared to learning vocabulary via the Blackboard platform during the Covid-19 pandemic. To this end, 108 medical students (51 males, 57 females) enrolled in a first semester English for a specific English course participated in the study. A quasi-experimental design was adopted for two groups. Fifty-three students participated in the WhatsApp group and 55 students formed the Blackboard group. A pretest-posttest design was employed to collect data. Results of t-test scores did not show a significant difference between the WhatsApp and Blackboard groups on a vocabulary test. Results of a survey that measured students' opinion of the use of WhatsApp as a platform for learning new vocabulary showed positive perceptions since participants thought that WhatsApp enhanced their learning experience.

• International Journal of Computer Science & Network Security
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• 제21권6호
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• pp.275-285
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• 2021

Ministries of Education are integrating different Learning Management Systems (LMS) to enhance teaching and learning during the lockdown to avoid academic loss. The key factor for delivering a high-quality education through LMS platforms is teachers' acceptance and adoption of the platform. Madrasati platform (which means My school) was introduced by Saudi Arabian Ministry of education as the formal teaching and learning for distance education for public education levels. This study aims to examine the effectiveness, usability and adoption of "Madrasati" platform from teachers' perspectives in Saudi Arabia. "SUS, CSUQ" tests were used to test the usability of the new platform. Using quantitative research design, data were collected using questionnaire. 200 teachers were selected randomly answered the survey. Data was analysed descriptively and inferentially using SPSS (25). The results obtained indicate that the teachers are highly satisfied using Madrasati platform and technically it is well designed. Also, Madrasati has positive effect on teaching quality. Moreover, Madrasati has high usability in teaching. One of the key findings were that the quality of the information content in Madrasati has a strong effect on teachers' perception of the Madrasati usefulness that led to a positive attitude towards Madrasati. These findings would be useful to the ministry of education and institutions trying to integrate technology in their teaching and learning processes. Thus, this paper contributes towards more effective utilisation of the extensive functionalities that Madrasati have to offer, which will contribute toward the development of pedagogy in Saudi Arabia.

• Journal of Platform Technology
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• 제9권1호
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• pp.23-31
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• 2021

최근 몇 년간 국내 산업에서 센서 오작동과 환경 모니터링의 부재로 인한 유해가스 방출 등으로 인명피해가 발생하고 이러한 유해 물질이 감지할 수 있는 환경 센서의 평가는 내구성 시험 및 위해성 검사 위주이기 때문에 센서의 측정 데이터에 대한 신뢰성 검증에는 한계가 있다. 본 플랫폼은 환경센서의 신뢰성을 검증하고 수집한 데이터를 통해 환경 분석을 위해 주요한 10종의 물질에 대해 측정하는 센서 보드와 각 센서의 성능 검증 체계를 설계하였다. 데이터를 수집하기 위해 센서 보드로 수집된 데이터를 LoRa 통신을 이용하여 데이터 신뢰성 평가 및 검증을 위한 서버로 전달되고 전달된 데이터를 모니터링 하기 위한 센서 데이터 플랫폼의 프로토타입을 제작하였다. 그리고 수집한 데이터를 이용하여 machine learning 기법을 통해 대기 환경을 분석하고 예측한다.

• 한국컴퓨터정보학회논문지
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• 제17권11호
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• pp.125-132
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• 2012

최근 스마트 폰을 활용하여 다양한 학습 콘텐츠들이 구축되어 오고 있다. 본 논문에서는 현재 대학에서 e-learning을 수행에 관한 전반적인 추세와 동향에 대해 알아보았다. 그리고 시스템은 스마트 포털, 학습관리시스템(LMS), 그리고 학습컨텐츠관리시스템(LCMS)으로 구성된 e-learning 플랫폼으로 구축하였다. 실험을 통하여 e-learning의 각각의 구성요소를 구현하였다. 학습관리시스템은 자격취득을 위한 사용자 프로파일을 이용한 평가 시스템으로 보다 효율적으로 구현하였다.

• 한국컴퓨터정보학회논문지
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• 제16권5호
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• pp.41-50
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• 2011

본 연구에서는 안드로이드 플랫폼 기반에서 영어 프리젠테이션 학습을 위한 모바일 콘텐츠 제작 및 모바일 학습시스템을 개발하였다. 첫째, 안드로이드 플랫폼에서 영어 학습용 콘텐츠를 구동할 수 있게 해주는 콘텐츠 전송시스템을 포함하는 어플리케이션의 개발하였다. 본 연구에서 개발한 어플리케이션은 언어 선택, 학습 모드 선택, 재생, 퀴즈, 사전, 정지 또는 일지정지 그리고 이전 또는 다음 화면으로 이동하는 기능을 제공한다. 둘째, 영어 프리젠테이션 학습을 위한 콘텐츠의 제작하였다. 영어 프리젠테이션 학습을 위한 콘텐츠는 크게 2개의 part(기본 파트 그리고 고급 파트)로 구성되며, Part 1과 Part 2 각각은 9개의 unit 으로 구성되어 총 18개 unit으로 구성되고, 각 unit 별 2-5개의 chapter로 구성되어 총 51개의 chapter로 구성되었다. 본 연구에서 개발한 시스템을 사용해보도록 한 후 사용자가 인지하는 사용자 인터페이스(UI) 만족도와 학습 만족도를 평가를 실시하였다. UI 만족도에 대한 설문 분석 결과, 응답자의 85%가 보통 수준 이상 만족하는 것으로 나타났으며, 학습 만족도에 대한 설문 분석결과, 응답자의 95%가 보통 수준 이상으로 만족하는 것으로 나타났다.

• Korean Journal of Radiology
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• 제22권12호
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• pp.2073-2081
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• 2021

Deep learning-based applications have great potential to enhance the quality of medical services. The power of deep learning depends on open databases and innovation. Radiologists can act as important mediators between deep learning and medicine by simultaneously playing pioneering and gatekeeping roles. The application of deep learning technology in medicine is sometimes restricted by ethical or legal issues, including patient privacy and confidentiality, data ownership, and limitations in patient agreement. In this paper, we present an open platform, MI2RLNet, for sharing source code and various pre-trained weights for models to use in downstream tasks, including education, application, and transfer learning, to encourage deep learning research in radiology. In addition, we describe how to use this open platform in the GitHub environment. Our source code and models may contribute to further deep learning research in radiology, which may facilitate applications in medicine and healthcare, especially in medical imaging, in the near future. All code is available at https://github.com/mi2rl/MI2RLNet.

• International Journal of Internet, Broadcasting and Communication
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• 제15권1호
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• pp.56-62
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• 2023

In the educational environment of the post-COVID-19 era, metaverse learning, which can improve the disadvantages of online learning and improve learning outcomes, is attracting attention. Metaverse is expected to play an important role as a learning experience platform (LXP) that can provide immersion and experience for learners. In order to successfully introduce and utilize metaverse learning that utilizes the metaverse platform, teachers' knowledge of metaverse-related technologies and pedagogical convergence is important. So far, teacher knowledge for educational use of the metaverse has not been explored. In this regard, this study explored the TPACK (Technological, Pedagogical And Content Knowledge) framework as a teacher's knowledge system for metaverse learning. Based on this, this study designed the class contents of metaverse learning. The results of this study are expected to diffuse the importance of TPACK required for metaverse learning and contribute to the development of teachers' competence.

• 대한임베디드공학회논문지
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• 제17권2호
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• pp.93-100
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• 2022

In this paper, we propose a machine learning-based method for supporting resource management of IoT software platforms in a multi-modal sensing scenario. We assume that an IoT device installed with a oneM2M-compatible software platform is connected with various sensors such as PIR, sound, dust, ambient light, ultrasonic, accelerometer, through different embedded system interfaces such as general purpose input output (GPIO), I2C, SPI, USB. Based on a collected dataset including CPU usage and user-defined priority, a machine learning model is trained to estimate the level of nice value required to adjust according to the resource usage patterns. The proposed method is validated by comparing with a rule-based control strategy, showing its practical capability in a multi-modal sensing scenario of IoT devices.

• 한국컴퓨터정보학회논문지
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• 제25권9호
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• pp.183-191
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• 2020

IT 발달과 함께 스마트기기로 많은 학습자가 이러닝 콘텐츠를 접하고 있으며, 콘텐츠 제공자들은 학습자의 재이용 의도와 행동을 주의 깊게 관찰하고 있다. 따라서 본 연구에서는 스마트폰에 기반한 이러닝 학습을 접해본 200명의 사용자를 대상으로 이러닝 콘텐츠 플랫폼 특성이 재이용 의도에 미치는 영향을 연구하였다. 그 결과, 사용자의 재이용 의도에 영향을 미치는 특성은 콘텐츠 품질, 상호작용성, 편재성으로 나타났다. 또한, 남성일 경우 재이용 의도에 영향을 미치는 가장 큰 특성은 상호작용성이며, 여성일 경우 콘텐츠 품질과 편재성이었다. 스마트폰을 이용해 하루 평균 한 시간 미만 이러닝을 학습할 경우 콘텐츠 품질이 재이용 의도에 가장 큰 영향을 주었으며, 반대로 한 시간 이상 학습할 경우 편재성, 편리성, 상호작용성이 재이용 의도에 영향을 주었다. 아직도 많은 이러닝 기업들이 PC 기반의 기술이나 단기적 홍보 중심의 사업 전략을 유지해오고 있는데, 본 연구의 결과는 앞으로 해당 기업들이 장기적 사업 전략의 관점에서 스마트폰 기반의 플랫폼 변화와 그 핵심 요인들에 대한 방향을 제시했다는 데 의의를 둘 수 있다.

• Journal of East Asia Management
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• 제2권1호
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• pp.93-103
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• 2021

Struggle refers to the process of overcoming various difficulties for a goal. The spirit of struggle is a positive attitude and reaction reflected in the process of struggle. Cultivating the spirit of struggle of college students is the call of the new era. In essence, the cultivation of the spirit of struggle is a process of learning, which is in line with Bandura's Observation Learning Theory(Bandura, 1977):Attention, Maintenance, Reproduction and Motivation. The cultivation of College Students' spirit of struggle in the new era is also a learning process of enriched experience. It is necessary to cultivate the spirit of struggle into the soul of college students and make it become a habit of students. Moreover, it is crucial to carry out adaptive transformation of Bandura's observation learning theory. By studying the mechanism of the spirit of struggle of college students, taking innovation and entrepreneurship education as a means, and aiming at cultivating the connotation of President Xi's thought on socialism with Chinese characteristics for a new era, this paper constructs the AIST model for cultivating the spirit of struggle of college students in the new era. This model includes online learning acceptance platform(Acceptance), classroom experience stimulation platform(Inspiration), iterative training solidified platform (Solidification), and competition practice transfer platform(Transfer). The purpose of this model is to provide a practical way for universities to fulfill the fundamental task of moral education and cultivate qualified socialist builders and successors. The number of students using the online learning acceptance platform ranked the first among that of the similar courses in China; The classroom experience stimulation platform and the iterative training solidified platform support each other, with an effective rate of 97%; The competition practice transfer platform has realized the continuous growth of the number of awards won in competitions for three years. The direction of future efforts is to establish the external mechanism of the spirit of struggle, to ensure the effectiveness of classroom experience and iterative training, to cultivate teachers with coaching skills, and to accurately measure the transformation point of external and endogenous motivation.