• International Journal of Computer Science & Network Security
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• 제22권11호
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• pp.331-337
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• 2022

Smart learning is augmented with digital, context-aware, and adaptable technologies to encourage students to learn better and faster. To ensure that digital learning is successful and that implementation is efficient, it is critical that the dimensions of digital learning are arranged correctly and that interactions between the various elements are merged in an efficient and optimal manner. This paper builds and discusses a basic framework for smart learning in the digital age, aimed to improve students' abilities and performance in learning. The proposed framework consists of five dimensions: Teacher, Technology, Learner, Digital content, and Evaluation. The Teacher and Learner dimensions operate on two levels: (a) an abstract level to fit in knowledge and skills or interpersonal characteristics and (b) a concrete level in the form of digital devices used by teachers and learners. Moreover, this paper proposes asynchronous online course delivery model. An Arabic smart learning platform has been developed, based on these smart learning core dimensions and the asynchronous online course delivery model, because despite the official status of this language in many countries, there is a lack of Arabic platforms to teach Arabic. Moreover, many non-native Arabic speakers around the world have expressed an interest in learning it. The Arabic digital platform consists of over 70 lessons classified into three competence levels: beginner, intermediate, and advanced, delivered by Arabic experts and Arabic linguists from various Arab countries. The five dimensions are described for the Arabic platform in this paper. Learner dimension is the Arabic and non-Arabic speakers, Teacher dimension is Arabic experts and Arabic linguistics, Technology dimension consists of technology for Arabic platform that includes web design, cloud computing, big data, etc. The digital contents dimension consists of web-based video, records, etc. The evaluation dimension consists of Teachers rating, comments, and surveys.

• 지능정보연구
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• 제23권2호
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• pp.1-17
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• 2017

딥러닝 프레임워크의 대표적인 기능으로는 '자동미분'과 'GPU의 활용' 등을 들 수 있다. 본 논문은 파이썬의 라이브러리 형태로 사용 가능한 프레임워크 중에서 구글의 텐서플로와 마이크로소프트의 CNTK, 그리고 텐서플로의 원조라고 할 수 있는 티아노를 비교하였다. 본문에서는 자동미분의 개념과 GPU의 활용형태를 간단히 설명하고, 그 다음에 logistic regression을 실행하는 예를 통하여 각 프레임워크의 문법을 알아본 뒤에, 마지막으로 대표적인 딥러닝 응용인 CNN의 예제를 실행시켜보고 코딩의 편의성과 실행속도 등을 확인해 보았다. 그 결과, 편의성의 관점에서 보면 티아노가 가장 코딩 하기가 어렵고, CNTK와 텐서플로는 많은 부분이 비슷하게 추상화 되어 있어서 코딩이 비슷하지만 가중치와 편향을 직접 정의하느냐의 여부에서 차이를 보였다. 그리고 각 프레임워크의 실행속도에 대한 평가는 '큰 차이는 없다'는 것이다. 텐서플로는 티아노에 비하여 속도가 느리다는 평가가 있어왔는데, 본 연구의 실험에 의하면, 비록 CNN 모형에 국한되었지만, 텐서플로가 아주 조금이지만 빠른 것으로 나타났다. CNTK의 경우에도, 비록 실험환경이 달랐지만, 실험환경의 차이에 의한 속도의 차이의 편차범위 이내에 있는 것으로 판단이 되었다. 본 연구에서는 세 종류의 딥러닝 프레임워크만을 살펴보았는데, 위키피디아에 따르면 딥러닝 프레임워크의 종류는 12가지가 있으며, 각 프레임워크의 특징을 15가지 속성으로 구분하여 차이를 특정하고 있다. 그 많은 속성 중에서 사용자의 입장에서 볼 때 중요한 속성은 어떤 언어(파이썬, C++, Java, 등)로 사용가능한지, 어떤 딥러닝 모형에 대한 라이브러리가 잘 구현되어 있는지 등일 것이다. 그리고 사용자가 대규모의 딥러닝 모형을 구축한다면, 다중 GPU 혹은 다중 서버를 지원하는지의 여부도 중요할 것이다. 또한 딥러닝 모형을 처음 학습하는 경우에는 사용설명서가 많은지 예제 프로그램이 많은지 여부도 중요한 기준이 될 것이다.

• 정보교육학회논문지
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• 제15권1호
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• pp.67-76
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• 2011

본 논문은 스마트 기기의 터치 인터페이스를 활용하여 학습자가 직접 입체 학습 콘텐츠를 제어함으로써 보다 실감적인 교육 환경을 구축하고자 한다. 또한 기존의 입체 학습 콘텐츠는 제작의 어려움으로 인해 콘텐츠 확보와 제공에 한계가 있어 교사 및 학습자가 직접 콘텐츠를 제작하고 공유할 수 있도록 프레임워크를 설계하였다. 프레임워크는 직관적인 XML 언어로 구성되고 안드로이드가 탑재된 기기에서 재생 및 저작이 가능하도록 어플리케이션을 구현하였으며 콘텐츠 공유를 위한 서버 환경도 구축하였다. 제안한 프레임워크는 전문가 평가를 통해 타당성을 검증한 결과 새로운 학습 콘텐츠 활용 가능성 면에서 긍정적으로 분석되었다.

• 한국콘텐츠학회논문지
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• 제7권12호
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• pp.283-291
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• 2007

유비쿼터스 컴퓨팅의 시대로 접어들면서, 컴퓨터 시스템은 언제 어디서나 우리의 일상생활에서 필요로 하는 적절한 서비스와 정보를 제공할 수 있게 되었다. 이러한 유비쿼터스 컴퓨팅은 언제 어디서나 학습을 할 수 있는 유비쿼터스 학습의 개념으로 발전시켰다. 본 논문에서는 기존의 ERSS(Korea's Educational Resources Sharing System)를 발전시켜, 유비쿼터스 컴퓨팅 기술이 적용된 U-스쿨을 위한 프레임워크를 제안한다. 제안된 프레임워크는 기존의 ERSS를 기반으로 하여 모바일 기술, 센서 단말 기술과 상황 인식 기술을 적용하였고 사용자 중심의 시나리오를 사용하여 사용자 중심의 러닝 환경을 제공한다. 특히 유비쿼터스 교육 환경에서의 상황인식 서비스는 학생, 교사, 객체 및 환경의 동적인 상황 정보를 기반으로 즉시 학습 및 개인별 맞춤 학습에 적용될 수 있다.

• 유통과학연구
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• 제16권7호
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• pp.67-75
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• 2018

Purpose - In the 21st century, as information technology advances alongside the emergence of the 4th generation, industrial age, industrial environment has become individualized and customized. It is important to hire good quality employees for good service in the industry. The e-learning market is growing every year. Although e-learning companies are finding better quality employees in e-learning, it is not easy to find it. Companies also spend a lot of time and cost to find employee. On the employees side, they want to get a job freely when they want, but they cannot find their job easily. Furthermore, the labor market environment is changing fast. In the 4th generation, industrial age, employers require to find manpower whenever they need and want at little cost. So of their own accord, we have considered the necessity of management of human resources for employees and employers in e-learning. The purpose of this study is to propose a human cloud platform framework for enabling an efficient management of human resources in e-learning industry. Research design, data, and methodology - To pinpoint the items of a human cloud platform framework, the study was initiated according to the following process. First, items of competency relating to e-learning instructional designer was analyzed. Second, based on the items of information from this analysis, selection and validity verification took place with 5 e-learning specialists group. Third, the opinion of experts who were in charge of hiring in e-learning companies were collated with the questionnaire. Lastly, the human cloud platform framework was proposed based on opinion results. Results - The framework was comprised of 7 domains and 27 items in order to develop the human cloud platform for e-learning instructional designer. The analysis results showed that the most highly considered item were 'skill (4.60)' that employee already have the capability. Following this (in order) were 'project type (4.56)', 'work competency (4.56)', and 'strength area of instructional design (4.52)'. Conclusions - The 27 items in the human cloud platform framework were suggested in this study. Following this, we can consider to develop the human cloud platform for finding a job and hiring e-learning instructional designer easily. For successful platform operation, we need to consider reliability between employer and employee. In addition, we need quality assurance system based on operation has public confidence.

• International Journal of Contents
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• 제5권2호
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• pp.1-5
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• 2009

This study was to analyze important dimensions and its factors of micro level of e-learning determining the quality of e-learning. E-learning dimensions and their factors were identified and developed from the analytical review of related researches. From literature review and survey as well as expert interview, six categories of e-learning identified from this study were: 1) curriculum content, 2) usability, 3) instructional design, 4) evaluation -both process and results, 5) management, and 6) refinement and improvement. A total of thirty-seven factors determining the quality of the e-learning six categories were identified. The rank order and contribution rates for each categories and factors were calculated to explain how importantly they contribute to the quality of e-learning. Also three dimensions such as controlling the e-learning quality, e-learning fundamental dimension e-learning process dimension, and e-learning product dimension, were explained. This study suggests a useful guidance for e-learning quality and evaluation framework for better results.

• 한국과학교육학회지
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• 제38권2호
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• pp.235-247
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• 2018

학생의 사전질문은 교사에게 학생의 관심사와 수준을 제공해줄 뿐만 아니라, 교육의 수요자인 학생의 관점을 반영하여 교수-학습을 진행할 수 있는 단서를 제공해주는 유용한 수단이다. 이 연구의 목적은 학생의 사전질문을 효과적으로 분석하기 위한 분석틀을 개발하고, 이 분석틀을 적용하여 2009 개정 교육과정의 초등과학 학습 단원과 관련된 학생의 사전질문을 분석하는 것이다. 개발된 분석틀은 지식형, 확장형, 호기심형 질문의 3개의 대범주로 구성되며, 각각의 범주에서 다시 몇 개의 하부 영역으로 세분된다. 개발된 분석틀을 이용하여 2009 개정 교육과정 초등과학 5, 6학년 학습 단원에서 제시한 학생사전질문 914개를 분석한 결과, 학년 및 학습 단원, 차시별로 분포하는 질문 유형이 다른 것으로 나타났으며, 유형별 질문의 비율에도 차이가 있었다. 이러한 결과를 바탕으로 사전질문 분석틀을 통해 학습에 대한 학생의 요구를 파악하고 이를 반영한 학생 중심의 교수-학습의 방향을 제시하였으며, 추후 연구에서도 분석틀이 유의미한 기여를 할 것으로 기대된다.

• Asian Journal of Business Environment
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• 제7권4호
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• pp.17-25
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• 2017

Purpose - The purpose of this study is to present a framework for determining the most appropriate business model for e-learning. Research design, data, and methodology - The Electronics Branch of Azad University has been elected as a case study in this research. This study conducted using a descriptive method. The information was obtained using interviews with experts including managers, faculty and students at the Electronics Branch of Azad University. Results - Three service-product system (product oriented system, use an oriented and result oriented system) approaches determined a framework for the formation of a portfolio. This portfolio is including three types of e-learning business models. Examining the relevant characteristics, correspondence of behaviorism learning theory with a product-oriented approach, correspondence of cognitivism theory with a user-oriented approach and in finally match correspondence of constructivist learning theory with a results-oriented approach which is evident. Conclusions - After reviewing the literature on the fields of e-learning, business model and product - service systems, we have achieved three types of e-learning business models. Then the variables in any of the business models were defined by using business model canvas tool and thus a portfolio consisting of three types of e-learning business model canvas was obtained.

• 한국정보시스템학회지:정보시스템연구
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• 제26권3호
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• pp.273-293
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• 2017

Purpose The purpose of this study is to introduce a framework that helps Muslims to determine whether a food can be consumed. It can complement existing Halal food classification services having a difficulty of constructing Halal food database. Design/methodology/approach The proposed framework includes two components. First, OCR(Optical Character Recognition) technique is utilized to read the food additive information. Second, machine learning methods were used to trained and predicted to determine whether a food can be consumed using the provided information. Findings Among the compared machine learning methods, SVM(Support Vector Machine), DT(Decision Tree), and NB(Naive Bayes), SVM with linear kernel and DT had excellent performance in the Halal food classification. The framework which adopting the proposed framework will enhance the tourism experiences of Muslim tourists who consider keeping the Islamic law most importantly. Furthermore, it can eventually contribute to the enhancement of smart tourism ecosystem.

• 지식경영연구
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• 제9권4호
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• pp.17-33
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• 2008

This study proposes University 2.0 as a model case of open, flexible, and distributed learning environment for higher education based on theoretical foundations and perspectives. As web 2.0 technologies emerge into the field of education, ways of generating and disseminating information and knowledge have been drastically changed. Professors are no longer the only source of knowledge. Students using internet often become prosumers of knowledge who search and access information through the web as well as publish their own knowledge using the web. A concept and framework of University 2.0 is introduced for implementing the new interactive learning paradigm with an open, flexible and distributed learning environment for higher education. University 2.0 incorporates online and offline learning environments with various educational media. Furthermore, it employs various learning strategies and integrates formal and informal learning through learning communities. Both instructors and students in University 2.0 environment are expected to be active knowledge generators as well as creative designers of their own learning and teaching.