• Journal of the Korea Society of Computer and Information
• /
• v.17 no.11
• /
• pp.207-214
• /
• 2012

This study tried to propose an optimal instruction-learning model for the cyber home learning system2.0 through grounded theory. In-depth interviews were conducted to investigate causes of underachievement and the causes were categorized according to common concepts. A total of 25 causes of underachievement could be grouped into four categories and eight sub-categories, as a result. Underachievers, then, participated in the lessons utilizing the cyber home learning system2.0 and their cognitive change process about learning was analyzed from reflectional journals and in-depth interviews with a teacher. It was found that underachievers were participated in learning by passing through 5 processes; adaptation to the cyber home learning system2.0, basic knowledge learning, task implementing, rounds of group discussions, feedbacks and evaluation. Based on analysis of these five processes, this study proposed a conditional matrix for the cyber home learning system 2.0 as the most personalized model for underachieving students.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.5
• /
• pp.685-695
• /
• 2023

This study aimed to investigate the current utilization and implications of digital learning support media in the field of French studies, and to explore future research directions. To achieve this, we conducted a comprehensive review of the use of digital media in various learning processes within French studies. Additionally, we examined the direct application of ChatGPT, an emerging technology, to learning by extending its use to foreign language and education fields. Our findings indicate that the application of digital learning support media in French studies is somewhat limited, with selective use in processes such as online class support media, pre-class learning, efficient learning and interaction, and self-directed learning. In the case of ChatGPT, our research found that no studies have been conducted within French studies, and very few studies have been conducted on its practical application in other educational fields. While ChatGPT has a wide range of applications and has shown positive effects on learners, ethical concerns have been raised regarding the quality, source, and reliability of information. Therefore, future research in French studies should focus on educational application and effectiveness verification in university teaching and learning situations, as well as interdisciplinary convergence with digital learning support media.

• Journal of Educational Research in Mathematics
• /
• v.13 no.2
• /
• pp.143-157
• /
• 2003

This paper is to make strides toward an enriched understanding of mathematics teacher learning and professional development. Different theoretical frameworks in understanding mathematics teacher learning are reviewed, followed by a discussion of the relationships of knowledge and teaching practice. This paper then analyses contemporary conceptions about effective professional development and, in particular, deals with teacher learning in inquiry communities. This paper introduces a research project describing transition processes from teacher- centered mathematics classroom culture to student-centered culture and analyzing teacher learning in communities and its concomitant change in teaching practice. On the basis of the emerging problems in doing the project, this paper finally addresses some crucial issues on teacher learning and professional development, including the management of an inquiry community, the description of teaching practice from the researcher's perspective, and the analysis of teacher learning in communities.

• International Journal of Contents
• /
• v.12 no.4
• /
• pp.31-44
• /
• 2016

Knowledge creation and management are regarded as critical success factors for an organization's survival in the knowledge era. As a process of knowledge acquisition and sharing, organizational learning mechanisms (OLMs) guide the learning function of organizations represented by its different learning activities. We examined a variety of learning processes that constitute OLMs. In this study, we aimed to capture the process and framework of OLMs and knowledge sharing and acquisition. Factors facilitating OLMs were investigated at three levels: individual, group, and organizational. The concept of an OLM has received some attention in the field of organizational learning, however, the relationship among the factors generating OLMs has not been empirically tested. As part of the ongoing discussion, we attempted a systemic approach for OLMs. OLMs can be represented by factors that are inherent to the organization's system; therefore, prior to empirically testing the OLM generating factor(s), evaluation of its organizational integration is required to determine effective treatment of each factor. Thus, we developed a framework to manage knowledge and proposed a method to numerically evaluate factors influencing the OLMs. Specifically, composite importance (CI) of the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was applied to explore the interaction effect of these factors based on systemic approach. The augmented matrix thus generated is expected to serve as a stochastic matrix of an absorbing Markov chain.

• Korean Journal of Construction Engineering and Management
• /
• v.3 no.1 s.9
• /
• pp.65-73
• /
• 2002

By its nature, software part of the construction industry such as engineering and so forth has been kept secret to outside, as it determines a company$^{\circ}{\phi}s$ competitiveness. As a result, construction field knowledge usually disappears with the end of a project. The objective of this study is to develop the knowledge management (BM) learning model tuned in to construction area in order to manage project-related knowledge and promote the knowledge management. This study presented a learning model for knowledge management in the construction field, with the aim to integrate a series of processes. The model is composed of EIP, EDMS, knowledge and failure cases management, CoP and e-Learning.

• International Journal of Contents
• /
• v.5 no.1
• /
• pp.51-55
• /
• 2009

In this paper, we present a structure of personalized e-Learning system to study for a test formalized by uniform multiple-choice using on/off line mixed estimations as is the case of Driver :s License Test in Korea. Using the system a candidate can study toward the license through the Internet (and/or mobile instruments) within the personalized concept based on IRT(item response theory). The system accurately estimates user's ability parameter and dynamically offers optimal evaluation problems and learning contents according to the estimated ability so that the user can take possession of the license in shorter time. In order to establish the personalized e-Learning concepts, we build up 3 databases and 2 agents in this system. Content DB maintains learning contents for studying toward the license as the shape of objects separated by concept-unit. Item-bank DB manages items with their parameters such as difficulties, discriminations, and guessing factors, which are firmly related to the learning contents in Content DB through the concept of object parameters. User profile DB maintains users' status information, item responses, and ability parameters. With these DB formations, Interface agent processes user ID, password, status information, and various queries generated by learners. In addition, it hooks up user's item response with Selection & Feedback agent. On the other hand, Selection & Feedback agent offers problems and content objects according to the corresponding user's ability parameter, and re-estimates the ability parameter to activate dynamic personalized learning situation and so forth.

• Journal of Environmental Science International
• /
• v.28 no.1
• /
• pp.125-135
• /
• 2019

For the purposes of enhancing usability of Numerical Weather Prediction (NWP), the quantitative precipitation prediction scheme by machine learning has been proposed. In this study, heavy rainfall was corrected for by utilizing rainfall predictors from LENS and Radar from 2017 to 2018, as well as machine learning tools LightGBM and XGBoost. The results were analyzed using Mean Absolute Error (MAE), Normalized Peak Error (NPE), and Peak Timing Error (PTE) for rainfall corrected through machine learning. Machine learning results (i.e. using LightGBM and XGBoost) showed improvements in the overall correction of rainfall and maximum rainfall compared to LENS. For example, the MAE of case 5 was found to be 24.252 using LENS, 11.564 using LightGBM, and 11.693 using XGBoost, showing excellent error improvement in machine learning results. This rainfall correction technique can provide hydrologically meaningful rainfall information such as predictions of flooding. Future research on the interpretation of various hydrologic processes using machine learning is necessary.

• Journal of Korea Multimedia Society
• /
• v.6 no.4
• /
• pp.685-697
• /
• 2003

The Web based multimedia programmes/courses are becoming widely available in recent years. Most of these courses focus on Behaviorist way of learning, which does not promote deep learning in any way. For Adults this approach further incapacitated, as it does not satisfy Andragogical needs. The search for Constructivist way of learning through the web applied to Indian conditions led to need for developing a curriculum development approach that would promote construction of knowledge through web based collaboration. This paper attempts to reengineer existing curriculum development processes and lays out a framework of‘Problem Based Online Learning (PBOL)’curriculum design. In this context, entire curriculum development life cycle is evolved and explained. This is a part of doctoral work (Ph.D), which is in progress and being undertaken by K.James Mathai, and guided of Dr.D.S.Karaulia.

• Journal of Korean Elementary Science Education
• /
• v.29 no.2
• /
• pp.219-232
• /
• 2010

In this study, we investigated and compared the types of analogy generation processes and the perceptions of analogy generation on saturated solution of fifth grade scientifically-gifted and general elementary students. After the instruction of self-generating analogies on 'saturated solution' concept for two classes, 12 scientifically-gifted and 8 general elementary students were interviewed to explore their analogy generation processes and the perceptions of the abilities required in the processes, the conditions of good analogies, and the advantages/disadvantages of analogy generation. The results revealed that their analogy generation processes were classified into three types. The scientifically-gifted students generated the analogies in more systematic and efficient ways and had better understanding of the important parts in the processes than the general elementary students. They also suggested more concrete and various ideas about the conditions of good analogies. Many scientifically-gifted and general elementary students thought that analogy generation would have positive influences on the developments of the cognitive aspects such as various higher-level thinking abilities and understanding of science concepts as well as the affective aspects such as science learning motivation and interest. Educational implications of these findings are discussed.

• Journal of Korean Library and Information Science Society
• /
• v.31 no.1
• /
• pp.209-228
• /
• 2000

Information technology is affecting most areas of society in information society, schools are facing with the change of learning methods by computer and internet. The purpose of this study is to apply internet technology to school library, for maximizing the function of school library in information age. This study designed and implemented th ISLMC(Internet School Library Media Center) using the WWW, that gathers, processes and stores the useful information resources on the internet and effectively provides these to teachers, students and their parents of the learning activities.