• Journal of Information Technology Applications and Management
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• v.23 no.3
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• pp.13-23
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• 2016

In recent years, big data has usefully been deployed by organizations with the aim of getting a better prediction for the future. Moreover, knowledge management systems are being used by organizations to identify and create knowledge. Here, the output from analysis of big data and a knowledge management system are used to develop a new model with the goal of minimizing the cost of implementing new recognized processes including staff training, transferring and employment costs. Strategies are proposed from big data analysis and new processes are defined accordingly. The company requires various skills to execute the proposed processes. Organization's current experts and their skills are known through a pre-established knowledge management system. After a gap analysis, managers can make decisions about the expert arrangement, training programs and employment to bridge the gap and accomplish their goals. Finally, deduction graph is used to analyze the model.

• Knowledge Management Research
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• v.18 no.1
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• pp.117-138
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• 2017

While prior work has noted the importance of knowledge creation in gaining competitive advantages, much less is understood about why firms do not actually use what they create. Building upon institutional approaches to organization studies, we offer a new framework to explain the gap between knowledge creation and utilization. We test our framework in an empirical context of sustainable innovation and environmental technologies where ideas of environmental sustainability have recently gained public popularity and shaped how interested audiences make evaluative assessments of firms. In such a context, firms are apt to perceive the social attention toward sustainability to be a normative pressure, which causes them to create new knowledge and develop technologies consistent with the pressure. Using data from the government-initiated certification system for green technologies, our study finds that firms do not always fully implement new environmental technologies they develop in response to the certification program, the situation we refer to as knowledge decoupling. We also examine a set of conditions under which knowledge decoupling becomes more or less amplified. Taken together, our findings show how a firm's knowledge creation and utilization is shaped by its external institutional environment as well as internal learning processes.

• Education of Primary School Mathematics
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• v.16 no.2
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• pp.147-162
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• 2013

This is an in-dept case study that extract the problems showing remarkable gender gap in 6th graders and analyze the difference between boys and girls in the process of problem solving. This study can be summarized as the following. First, according to the result of basic study, the parts are divided into measurement, probability and statistics and regularity. And then test problems and face-to-face talk contents are developed. Second, the distinct features between boys and girls, follow-up study and face-to-face talk. As a result, five characteristics of gender gap are selected. Through the results of this study, the improvement of teaching & learning development and evaluation considering gender is expected in the classrooms of elementary schools.

• The Journal of Korean Association of Computer Education
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• v.10 no.2
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• pp.27-38
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• 2007

The objective of this research is to propose a e-learning standardization roadmap based on the future scenarios. First of all, a e-learning standardization committee was organized to collect ideas on the visions of the future e-learning, in which experts from the technological, educational, and standardization field were invited. They made a great contribution to the success of this research by furnishing us with valuable advices and feedbacks. The first step of the research was to survey the current e-learning standardization proposals suggested by some of standard organizations in and out of the country. We developed three 2015 scenarios for e-learning in elementary and secondary education, in university education, and in life-long education respectively by using a top-down roadmap development strategy. In the second step, we drew a new e-learning standardization roadmap v2 out of the future scenarios by gap analysis between the current and the future e-learning standardization elements. These future e-learning scenarios and e-learning standardization roadmap are very helpful to teachers or educational policy makers for understanding future e-learning and e-learning standardization.

• Journal of Creative Information Culture
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• v.7 no.3
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• pp.167-176
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• 2021

In this paper, from the pervious studies investigating the current status of distance learning due to COVID-19, the needs of teachers for effective distance learning were analyzed. As a result, it was found that support related to distance learning contents was necessary. Specifically, it is necessary to establish a platform specialized for content production for distance learning, expand teacher training related to content production and operation, and improve the copyright system related to content production. In addition, since distance classes differ from those of back-to-school classes in system and characteristics, it is necessary to supplement the institutional aspects for distance classes. It is judged that it is necessary to support the evaluation method suitable for distance learning, the authority to operate the curriculum, and the learning management system. In addition, it was analyzed that it is necessary to expand the infrastructure for distance learning, and a structure and platform for self-directed improvement programs and self-directed distance learning are needed to prevent the learning gap problem from repeating due to distance learning.

• The Mathematical Education
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• v.37 no.1
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• pp.87-99
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• 1998

Mathematics education is very important in future because mathematics is the basis of every study, for example, natural and social science, etc. Our nation wide curriculum has been revised six times since 1948. In 1992, the sixth revision was enforced and we are using the revised textbook now. This study aims at helping of continuous investigation for educational curriculum and textbook, and aims at efficient teaching by preventing unnecessary repetition and excessive gap in real field by analyzing the articulation of Analytics part in school textbook from elementary to high school. This thesis consists of the followings. 1.Investigation of the principles and natures of articulation along with curriculum course and notice the articulation based on the analysing tools. 2.Importance of learning functions. 3.To get the propriety, formation of 8 judging group and classification of content materials in function chapters by the judges based on the analyzing tools. 4.Analysis of presentation method and terminologies in the first concepts, suggestion teaching method to reduce gap and help of understanding on first concepts in the study of function. As a result 'development' consists of 55.8% of the total and it is higher than 'duplication' and 'gap'. To be specific in periods, between elementary school and middle school 'development' takes 64.5% and this shows an acceptable articulation in the period. While 39.4% of 'gap' in articulation between middle school and high school looks high compared with 'gap' between the previous periods. The item suggested with the 'gap' is the 'definition of function', 'value of function', 'parallel translation', 'exponential and logarithmic function'. It is observed that these materials is suddenly appeared in high school.

• 대한공업교육학회지
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• v.30 no.2
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• pp.72-81
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• 2005

The purpose of this study is to do research on correlation between multiple intelligence and e-Learning strategy, which can be used to develop and strengthen e-Learning strategy. The subject was 183 college students of engineering at C university who had ever taken a lesson through e-Learning. Two items are investigated in these college students. One is whether there is a gap and any gender-related difference in multiple intelligence and e-Learning strategy, and the other is what multiple intelligences have an effect on e-Learning strategy. The e-Learning strategy developed by In-Sock Lee and the instrument by Yong-Lin Moon were used. The results of this study are as follows. First, it appeared that there was a difference between gender in musical intelligence and naturalistic intelligence. The average of musical intelligence was higher in female collegian, while the average of naturalistic intelligence was higher in male collegian. But there was no gender-related difference in using e-Learning strategy. Second, it appeared that multiple intelligence gave an explanation of self-direction intelligence up to 31.1%, expression strategy 20.35%, and information processing strategy 16.6%. The results of this study showed that logical-mathematical intelligence affected all of three e-Learning strategies. So, new curriculum which can make use of logical-mathematical intelligence needs to be developed so as to devise efficient e-Learning strategies.

• Journal of Information Technology Services
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• v.20 no.4
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• pp.129-140
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• 2021

Recently, interest in AI tutors is rising as a way to bridge the educational gap in school settings. However, research confirming the effectiveness of AI tutors is lacking. The purpose of this study is to explore how effective learner characteristics and recommended item learning activities are in predicting learner's academic performance in an adaptive online learning environment. This study proposed the hypothesis that learner characteristics (prior knowledge, midterm evaluation) and recommended item learning activities (learning time, correct answer check, incorrect answer correction, satisfaction, correct answer rate) predict academic achievement. In order to verify the hypothesis, the data of 362 learners were analyzed by collecting data from the learning management system (LMS) from the perspective of learning analytics. For data analysis, regression analysis was performed using the regsubset function provided by the leaps package of the R program. The results of analyses showed that prior knowledge, midterm evaluation, correct answer confirmation, incorrect answer correction, and satisfaction had a positive effect on academic performance, but learning time had a negative effect on academic performance. On the other hand, the percentage of correct answers did not have a significant effect on academic performance. The results of this study suggest that recommended item learning activities, which mean behavioral indicators of interaction with AI tutors, are important in the learning process stage to increase academic performance in an adaptive online learning environment.

• Research in Mathematical Education
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• v.9 no.3 s.23
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• pp.269-273
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• 2005

Nowadays application of modem achievements of information technologies in science, engineering and education is usual phenomenon. Application of these technologies allows easily creating new methods of learning of mathematics. More of new methods of creation of multimedia electronic manuals on high mathematics are founded to application of multimedia and communication opportunities of the computer. But application only multimedia and communication opportunities of the computer at creation of multimedia electronic manuals on high mathematics is insufficient to elimination of 'gap' between training and studying high mathematics. So, we offer a new way of the decision of this problem: creation of a multimedia electronic manual on high mathematics with built-in a mathematical environment MathCad in the national language.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.253-260
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• 2022

Existing web-based cost databases have proved invaluable for construction cost estimating. These databases have been utilized to compute approximate cost estimates using assembly rates, unit rates, and etc. These web-based databases can be used independently with traditional cost estimation methods (manual methods) or used to support BIM-based cost estimating platforms. However, these databases are rigid, costly, and require a lot of manual inputs to reflect recent trends in prices or prices relative to a construction project's location. To address this gap, this study integrated deep learning techniques with web-based price analysis to develop a database that incorporates a project's location cost estimating standards and current cost trends in generating a cost estimate. The proposed method was tested in a case study project in Lagos, Nigeria. A cost estimate was successfully generated. Comparison of the experimental results with results using current industry standards showed that the proposed method achieved a 98.16% accuracy. The results showed that the proposed method was successful in generating approximate cost estimates irrespective of project's location.