• Journal of Digital Contents Society
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• v.10 no.2
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• pp.259-268
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• 2009

Although Sequencing & Navigation(S&N) of ADL SCORM 2004 specifies relatively simple ones of possible sequencing behaviors based on IMS SS(Simple Sequencing) in learning context, it is practically not easy to implement the sequencing properly within SCORM content packages. Actually, many Korean content developers construct SCORM content packages by choosing one out of well-known LSAL sequencing templates and just inserting their contents into it. In this paper, we survey a number of widely used SCORM sequencing templates provided by LSAL, ADL and Xerceo, and also domestic conventional SCORM sequencing models, and then present a new SCORM sequencing models well conformant to Korean e-learning environments. We finally develop 3 types of SCORM sequencing templates and their contents samples by applying our sequencing models to a number of available domestic SCOs. We expect that our products can be widely used and referenced as a guidance by content developers troubled in implementing a variety of SCORM sequencings.

• Archives of design research
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• v.16 no.4
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• pp.443-452
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• 2003

This study is to find out the possibility of applying the Blended Learning which combines the advantage of face-to-face classroom instruction and e-Learning to design education. This Blended Loaming Model has five steps such as 'prepare, teach, show, interact, and collaborate'. It is designed by the learning decision points (performance outcomes, content stability and structure, audience size, and so on) and the characteristics of delivery methods(asynchronous, synchronous). This research is based on the learners' satisfaction data of each step. The number of the participants is 27 and a questionnaire with 21 items is administered. Ten items of them are designed with 5-point Likert scales and the rest of them ask learners describe the reason of their selection. The result show that learners are satisfied with the blended learning than the off-line classroom. It is expected that the blended learning can be a substitute of the off-line classroom for the effectiveness of design education.

• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.529-538
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• 2014

This study was conducted as an need analysis through close and open semi-structured surveys, in order to identify the adaptive elements of the adaptive e-learning system. The study was conducted on students majoring computer education in teacher's college. In terms of the process of the need analysis, Rossett Model was applied. For the research method, responses on the open questionnaire were analyzed. In terms of the analysis method, coding was used to extract the theme of the content, and through the constant comparison method, categorizing took place. As the element that offers adaption in the adaptive learning system, it escapes from the existing learning style, and recognized the importance of providing adaptability for different elements such as the learner's level, learning objectives, and learning contents. Especially, An instructional model was identified as an important element that helps reach rationality as well as efficiently conduct the learning objectives.

• Journal of Information Science Theory and Practice
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• v.7 no.3
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• pp.6-20
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• 2019

Learning analytics, or educational data mining, is an emerging field that applies data mining methods and tools for the exploitation of data coming from educational environments. Learning management systems, like Moodle, offer large amounts of data concerning students' activity, performance, behavior, and interaction with their peers and their tutors. The analysis of these data can be elaborated to make decisions that will assist stakeholders (students, faculty, and administration) to elevate the learning process in higher education. In this work, the power of Excel is exploited to analyze data in Moodle, utilizing an e-learning course developed for enhancing the information computer technology skills of school teachers in primary and secondary education in Greece. Moodle log files are appropriately manipulated in order to trace daily and weekly activity of the learners concerning distribution of access to resources, forum participation, and quizzes and assignments submission. Learners' activity was visualized for every hour of the day and for every day of the week. The visualization of access to every activity or resource during the course is also obtained. In this fashion teachers can schedule online synchronous lectures or discussions more effectively in order to maximize the learners' participation. Results depict the interest of learners for each structural component, their dedication to the course, their participation in the fora, and how it affects the submission of quizzes and assignments. Instructional designers may take advice and redesign the course according to the popularity of the educational material and learners' dedication. Moreover, the final grade of the learners is predicted according to their previous grades using multiple linear regression and sensitivity analysis. These outcomes can be suitably exploited in order for instructors to improve the design of their courses, faculty to alter their educational methodology, and administration to make decisions that will improve the educational services provided.

• 대한공업교육학회지
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• v.37 no.1
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• pp.183-204
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• 2012

This study was to analysis perception about Teaching & Learning Support System of the school of Rural Areas in Korea. In order to accomplish the study purpose, the study conducted a research through Web Survey method and examined their recognition. Major findings of this study were as follows: First, Student was satisfied with TLSS of the school of Rural Areas in Korea. Students would like to 'using e-learning with Electronic board and Tablet PC' among program contents. But the system' utilization was low. However, 90% of the students wanted that teacher usually using the FASTEL. Second, Teacher satisfaction was lower compared to the students is relatively. Teachers prefer 'various after school program' to 'using e-learning with Electronic board and Tablet PC'. However, learning effective of using FASTEL system was a 73.8% of teachers are effective is aware and had. Third, 35% Students recognized that are using the pastel system, frequently, On the other hand, the teachers are 60% and to recognize that there was. The reason doesn't the system to good use is slow wireless. Still, e-learning classroom infrastructure for satisfaction was high. Fourth, Teachers recognized students and the pastel system interaction than other e-learning system high. FASTEL System used in the most uncomfortable things on e-learning classroom Wireless Internet phenomena and lost content lacking, in order, I was told. Therefore, there is an urgent need to improve to include Wireless Internet speed improvements and various content added support, easy-to-use instructional tools Add support order selected.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.857-860
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• 2005

웹 기술 기반의 컨텐츠 개발 및 운영으로 다른 환경에서의 컨텐츠 활용을 토대로 교육자원의 정보들을 통합 운영할 수 있는 관리 중심체인 e-learning 시스템의 중요성과 필요성이 대두되고 있으며, 교육용 어플리케이션은 현재 표준화되지 않은 개발 프로세스를 기반하여 개발하고 있는 실정이다. 따라서, 교육 컨텐츠의 재사용을 높이기 위해 국제적 학습 표준인 SCORM (Sharable Content Object Reference Model)을 기반으로 하나의 플랫폼에 있어서 시스템 개발 중 다른 플랫폼으로의 재사용이 가능한 핵심자산을 이용하여 조립, 생산할 수 있는 방안으로 체계적인 교육자원을 개발하고 지원하기 위한 교수-학습지원 시스템 개발에 초점을 둔 연구가 요구된다. 따라서, 본 논문에서의 교육적 도메인으로 접근하여 MDA(Model Driven Architecture)상의 교수-학습지원 시스템을 정의한다. 또한 학습컨텐츠 표준 메타데이터를 이용하여 컨텐츠저장소에 관한 분석 및 설계를 하고 MDA 자동화 툴을 이용한 핵심자산을 통해 실제 교수자가 필요로하는 컨텐츠를 제공할 수 있는 교수-학습지원 시스템을 개발하고자 한다.

• International Journal of Computer Science & Network Security
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• v.23 no.11
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• pp.93-98
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• 2023

Instagram is one of the fastest-growing online photo social web services where users share their life images and videos with other users. Image tagging is an essential step for developing Automatic Image Annotation (AIA) methods that are based on the learning by example paradigm. Hashtags can be used on just about any social media platform, but they're most popular on Twitter and Instagram. Using hashtags is essentially a way to group together conversations or content around a certain topic, making it easy for people to find content that interests them. Practically on average, 20% of the Instagram hashtags are related to the actual visual content of the image they accompany, i.e., they are descriptive hashtags, while there are many irrelevant hashtags, i.e., stophashtags, that are used across totally different images just for gathering clicks and for search ability enhancement. Hence in this work, Sorting instagram hashtags all the way through mass tagging using HITS (Hyperlink-Induced Topic Search) algorithm is presented. The hashtags can sorted to several groups according to Jensen-Shannon divergence between any two hashtags. This approach provides an effective and consistent way for finding pairs of Instagram images and hashtags, which lead to representative and noise-free training sets for content-based image retrieval. The HITS algorithm is first used to rank the annotators in terms of their effectiveness in the crowd tagging task and then to identify the right hashtags per image.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11a
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• pp.269-272
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• 2003

e-Learning의 효율적인 운영과 개발을 위해 미국을 중심으로 표준안(SCORM)이 마련되고 있다. 현재 제시되고 있는 SCORM의 학습객체는 교수자측면의 개발 용이성과 재사용성만을 강조하고 있다. 때문에 본 논문에서는 학습자 측면의 다양한 학습기회를 제공해 줄 수 있으며, 학습자의 학습기록을 정의할 수 있는 SCC(Sharable Content Collection)를 제시한다. 또한 SCC를 지원하기 위해 SCORM에서 제시하고 있는 SCO(Sharable Content Object)를 개선하고, 효율적인 SCC를 구성하기 위해 가상강의를 Component화 한다. 본 논문에서는 이러한 연구를 통해 기존의 학습객체 개선과, SCC를 바탕으로 e-Loaming의 개선된 모델을 제시한다.

• Research in Mathematical Education
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• v.18 no.3
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• pp.171-185
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• 2014

Mathematically deductive reasoning skill is one of the major learning objectives stated in senior secondary curriculum (CDC & HKEAA, 2007, page 15). Ironically, student performance during routine assessments on geometric reasoning, such as proving geometric propositions and justifying geometric properties, is far below teacher expectations. One might argue that this is caused by teachers' lack of relevant subject content knowledge. However, recent research findings have revealed that teachers' knowledge of teaching (e.g., Ball et al., 2009) and their deductive reasoning skills also play a crucial role in student learning. Prior to a comprehensive investigation on teacher competency, we use a case study to investigate teachers' knowledge competency on how to teach their students to mathematically argue that, for example, two triangles are congruent. Deductive reasoning skill is essential to geometry. The initial findings indicate that both subject and pedagogical content knowledge are essential for effectively teaching this challenging topic. We conclude our study by suggesting a method that teachers can use to further improve their teaching effectiveness.

• 대한공업교육학회지
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• v.39 no.2
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• pp.1-18
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• 2014

This study took existing invention intellectual property related textbooks being utilized in secondary vocational education, analyzed the formation status of 'key learning elements' reflection ratio and drew optimum key learning elements formation ratio by invention intellectual property education content required in secondary vocational education in the future. For this, the study task was set up as 'what kind and how much of invention intellectual property key learning elements are in the invention intellectual property textbook education content now and what is the desirable ratio of each key learning elements in the future'. To resolve this task, 3 specialists analyzed the invention intellectual property education content reflection status and optimum reflection ratio by invention intellectual property education content required in the future is suggested by Delphi survey. The results of this study are as following. First, the result of analysis on invention intellectual property key learning elements included in the invention patent recognition books being utilized in secondary vocational education was that the books included all key learning elements; however, some textbooks have the trend of concentrating in D area (problem-solving activities). Second, the result of analysis on the reflection ratio by invention intellectual property education content area in the invention patent recognition books being utilized in secondary vocational education was that there was the trend in most textbooks that they concentrate in intellectual property creation area; while some textbooks deal with intellectual property protection area and intellectual property utilization area. Regarding by achievement type, knowledge area was main in all textbooks. Meanwhile, function area is dealt in invention patent basic, invention and problem-solving and design textbooks. Attitude area is not dealt or is dealt insufficiently in most textbooks. Third, the optimum reflection ratio of invention intellectual property education key learning elements required in secondary vocational education in the future as obtained by specialists' delphi survey was that it is necessary to decrease D (problem-solving activities) 17.7% area, E(invention fusion knowledge) 2.9% area, K(patent application) 6.9% and L(patent information investigation) area 9.6%. Regarding the optimum reflection ratio of invention intellectual property education content, it is suggested that the invention literacy area 3.1%, intellectual property creation area 4.5% and intellectual property protection area 10.6% would be decreased; while intellectual property utilization area 17.7% would be increased. Regarding optimum reflection ratio of achievement type, it is suggested that knowledge area 52% would be decreased; while function area 32.3% and attitude area 19.6% would be increased.