• The KIPS Transactions:PartA
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• v.13A no.5 s.102
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• pp.473-480
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• 2006

Recently, remote education systems for web-based teaching-studying are rapidly increased. Also, a request for customized courseware suitable for individual learner's level and learning pattern is increasing. But, most remote education systems do not provide customized learning service fit for each learner's level and lots of learners easily lose their interest in studying. Therefore, a lot of researchers have tried to provide personalized customized learning service by analyzing leaner's level and learning pattern automatically with agents. In this paper, we designed and implemented a customized courseware for studying the computer application. There are four agents such as professor, assistant, student, and monitor agent in CCA and they cooperate with each other to provide learning contents suited to each learner's level.

• 한국정보교육학회:학술대회논문집
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• 2011.01a
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• pp.103-112
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• 2011

In Intellectual Subject the learning is applied individualization learning but In Computer Subject most teachers teach the curriculum with altogether lesson because of lack about understanding computer subject and the great gap of student's beforehand. The purpose of this paper is to suggest Customized Educational Program to help teachers apply in the classroom and to analyze the effect of educational using Personalized Learning model on the improvement of student's learning attitude and self-directed learning ability. For this study, after the Personalized Learning model class, measured learning attitude, student's class satisfaction and the expanding of self-directed learning ability by the self-assessment reports, a product, teacher's evaluation.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.5
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• pp.89-95
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• 2020

As the e-learning market expands, interest in customized education for learners based on artificial intelligence is increasing. Customized education for learners requires essential components such as a large amount of data and learning contents for learner analysis, and it requires time and cost efforts to collect such data. In this paper, to enable efficient learner-tailored learning even in small learning groups, unstructured learner data was analyzed using python modules, and a learning algorithm was presented based on this. Through the analysis of the unstructured learning data presented in this paper, it is possible to quantify and measure the unstructured data related to learning, and the accuracy of more than 80% was confirmed when analyzing keywords for providing customized education for learners.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.417-418
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• 2012

본 논문에서는 학습자의 수준에 따라 맞춤형 학습이 필요한 컴퓨터 프로그래밍 수업에서 학습자들에게 다양한 형태의 맞춤형 학습 사례들을 적용해보고 각 사례에 참여한 학습자들의 프로그램 영역별 학습 효과를 분석하여 학습자들에게 효과적인 맞춤형 학습 유형이 어떤 것인지를 분석해보았다.

• Journal of Practical Engineering Education
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• v.11 no.1
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• pp.75-86
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• 2019

Globally, the change in higher education is gradually moving toward a trend that seeks a change in innovative higher education through the revitalization of digital-based education. Accordingly, this study designed a customized education model based on e-learning that can be used in undergraduate education and development of lifelong vocational skills. The use of online learning platforms and the expansion of education are major factors that change the overall higher education system as the form and content of curriculum changes around the world. In order to establish a customized education model using online learning platform, this study analyzed major overseas advanced education cases and selected the basic direction of customized learning as personalized learning, competency based learning, and training for talents leading the 4th Industrial Revolution. Then, FGI was conducted for undergraduate and lifelong vocational ability development experts. As a result, a customized education model using an online learning platform was derived from a degree-type model available in undergraduate education and a non-degree-type model available in the field of lifelong vocational ability development, and each operation strategy was suggested.

• The Mathematical Education
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• v.43 no.3
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• pp.291-307
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• 2004

This study focused on the developing a system of computer adaptive diagnosis and instruction(CADI). This system is a conceptual model that connected learning with assesment by using new media such as computers, multimedia, and new technologies. In this conceptual model, adaptive diagnosis means tailored or customized diagnostic evaluation, and adaptive instruction implies tailored or customized instruction. The connection between learning and assesment suggests that they are closely related to determine following learning contents and learning methods. CADI's expected effect are 1) it can contribute to real learning of core concept, 2) it can enlarge the educational opportunities, 3) it can help students study by student himself and learn media literacy, 4) information for evaluation functions more essential roles, 5) it is possible to work cooperatively with any other school subject.

• Education of Primary School Mathematics
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• v.26 no.4
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• pp.333-348
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• 2023

Clear analysis and diagnosis of various characteristic factors of individual students is the most important in order to realize individual customized teaching and learning, which is considered the most essential function of math artificial intelligence-based digital textbooks. In this study, analysis factors and tools for individual customized learning diagnosis and construction models for data collection and analysis were derived from mathematical AI digital textbooks. To this end, according to the Ministry of Education's recent plan to apply AI digital textbooks, the demand for AI digital textbooks in mathematics, personalized learning and prior research on data for it, and factors for learner analysis in mathematics digital platforms were reviewed. As a result of the study, the researcher summarized the factors for learning analysis as factors for learning readiness, process and performance, achievement, weakness, and propensity analysis as factors for learning duration, problem solving time, concentration, math learning habits, and emotional analysis as factors for confidence, interest, anxiety, learning motivation, value perception, and attitude analysis as factors for learning analysis. In addition, the researcher proposed noon data on the problem, learning progress rate, screen recording data on student activities, event data, eye tracking device, and self-response questionnaires as data collection tools for these factors. Finally, a data collection model was proposed that time-series these factors before, during, and after learning.

• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.384-396
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• 2017

The purpose of this study is to design career learning program content and to suggest a development plan in order to assist in freshmen's successful adaptation. To accomplish this goal, first, we reviewed the precedent studies on the situations and problems of freshmen and education programs for freshmen. H. university freshmen's needs for support programs were analyzed. Second, a career learning program conceptual model was developed based on the results of precedent studies and program needs analysis. Third, the program contents for enhancing career learning competency were designed, and we suggested a development plan focusing on customized content, emotional support, and on-off line convergence program. It developed career learning tracks, big data analysis, and action planning as main content. The results of this study are expected to be used as basic data for the development and implementation of competency-based customized career learning programs for freshmen, which will help improve the quality of career learning programs and freshmen's adaptability.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.5
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• pp.1277-1283
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• 2010

Many e-learning systems adopts SCORM as an e-learning standard. E-learning systems evaluate and apply the learning difficulty in order to improve the studying efficiency. But, it is hard to change the learning difficulty and provide the customized learning contents during studying in SCORM. Because it is difficult to provide the customized contents to learners by changing the learners' level at runtime and to control optional learning. In this paper, we designed and implemented SCORM-based Contents Organization System on learners' level(SCOS) for complementing the SCORM's weakness. SCOS re-evaluates a learner's level whenever the learner's level is changed during learning, and provides customized contents on the learner's level.

• Journal of the Korea Society of Computer and Information
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• v.18 no.8
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• pp.167-174
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• 2013

The objectives of this study are to investigate core learning ability necessary for the 21st century and to develop core human resources required for social and national development in the future. The '21st Century Learning Ability Project' is to approach the existing knowledge and learning multidisciplinary and interactively based on the learning ability of each learner and individually and socially valuable themes. Even in Korea, a variety of intersubject integrative educational curriculum was attempted to cultivate learning ability. However, there are not enough teachers who can teach the differences between the content and characteristics for each subject by fully understanding them. Thus, it is difficult to apply them easily to the field of education. Thus, this study develops the multidisciplinary customized educational curriculum in order to develop the learning ability necessary for the 21st century, analyzes the reality of the educational curriculum integrating the academic knowledge in order to support this effectively. As a result, this study offers the interdisciplinary customized integrated model applicable to elementary and middle schools.