• Journal of The Korean Association of Information Education
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• v.20 no.6
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• pp.655-672
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• 2016

The purpose of this study was to investigate the effects of prior-knowledge level and supportive information types in web-based learning using 4C/ID model(Four-Components Instructional Design model) on cognitive load and schema acquisition. To achieve the purpose, this study applied a web based learning. 166 university students participated in web-based learning for 4 weeks. After web-based learning, they checked self report for cognitive load and made concept map for schema acquisition and the datum from them were used for 2 ways ANOVA. According to the findings, groups in prior-knowledge level invested significantly differences on cognitive load and a question group in case of supportive information types didn't invested significant differences on cognitive load with statement group. Second, groups in prior-knowledge level invested significantly differences on schema acquisition and a question group in case of supportive information types invested significantly higher schema acquisition than a statement group. Furthermore, it happened interaction effect between supportive information types and prior-knowledge level on schema acquisition. This research has several implications with regard to suggesting the guidelines and conditions for the authentic task of the novice.

• The Journal of the Korea Contents Association
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• v.20 no.6
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• pp.1-8
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• 2020

The use of text data in big data analytics has been increased. So, much research on methods for text data analysis has been performed. In this paper, we study Bayesian learning based on conjugate prior for analyzing keyword data extracted from text big data. Bayesian statistics provides learning process for updating parameters when new data is added to existing data. This is an efficient process in big data environment, because a large amount of data is created and added over time in big data platform. In order to show the performance and applicability of proposed method, we carry out a case study by analyzing the keyword data from real patent document data.

• The Journal of Korean Association of Computer Education
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• v.10 no.2
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• pp.49-64
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• 2007

This research aims to investigate e-Learning behavior and its different features which may vary depending on learners' characteristics and their prior e-Learning experiences. For this purpose, a survey was conducted for adult learners who had e-Learning experiences. It included various questions including place, time and process of e-Learning. The result showed that features of e-Learning behavior varies according to learner characteristics, such as gender, educational background, and their work experiences. It also revealed that work environment and the nature of e-Learning courses are influential factors for their learning behavior.

• Journal of Information Technology Applications and Management
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• v.14 no.1
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• pp.145-160
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• 2007

The knowledge based economy requires more and more people to learn new knowledge and skills in a timely and effective manner. These needs and new technology such as computer and Internet are fueling a transition in e-learning. We did the case study of K company, which is leading the business to business e-learning in Korea. We investigated prior studies about e-learning and deduced the major variables composed of learner, tutor, infrastructure, contents, and practice. And then we suggested the successful way of doing the operation for the company's e-learning. We hope that this research will help the companies that have introduced or consider the adoption of e-learning.

• East Asian mathematical journal
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• v.40 no.2
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• pp.231-265
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• 2024

Achieving something in learning is a very important task. Due to its significance, extensive research has been conducted over a long period to determine what factors influence learning. In the field of mathematics, such research has been continuously carried out, and as a result, it has been revealed that cognitive, affective, and socio-environmental factors influence mathematics learning. However, most of these studies were based on one or two variables, and thus, they did not comprehensively examine the factors affecting mathematics learning. Therefore, this study aims to synthesize the existing research to comprehensively derive the factors influencing mathematics learning.

• Korean Journal of Cognitive Science
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• v.17 no.3
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• pp.231-253
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• 2006

The interaction effects of the cognitive style and the presentation order of learning material was explored in the study. Visualizers performed better when the graphic information was presented prior to the verbal information, whereas verbalizers did better when the verbal information was presented prior to the graphic information. The results of the present research have practical implication of personalized multimedia design based on the learner's cognitive style. The results also have suggested that the cognitive load of a multimedia material can be varied depending on the compatibility of the cognitive style and the material.

• Korean Journal of Comparative Education
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• v.28 no.3
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• pp.291-307
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• 2018

As the value of lifelong learning becomes important, states are making efforts to build a system of lifelong learning. According to this tendency, this paper intends to compare the participation rate of lifelong learning, learning outcomes, learning support infrastructure, support of learning expenses, and recognition of lifelong learning. For the comparative pedagogical approach, Bray and Thomas' cubes such as geographical / regional level, non - geographical demographic statistics, social and educational aspects were utilized. The participation rate of lifelong learning in Korea is 34.4% in 2017, which is lower than the OECD average of 46%. The competency scores of Korean adults were lower than the OECD national averages of the PIAAC survey which measured adult competence, language ability, numeracy, and computer-based problem solving ability. In order to recognize prior learning, EU countries have developed EQFs to evaluate all non-formal and informal learning outcomes, while Korea recognizes qualification as a credit banking credit under the academic credit banking system. International comparisons of lifelong learning can be used as an important tool for diagnosing the actual conditions of lifelong learning in a country and establishing future lifelong learning policies. Therefore, it is necessary to maintain that the comparative pedagogical approach of lifelong learning differs according to the historical context, socioeconomic characteristics, and population dynamics, including the formation process and characteristics of modern countries.

• Journal of The Korean Association For Science Education
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• v.42 no.3
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• pp.357-370
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• 2022

In this paper, we developed an augmented reality learning tool suitable for chemical bond learning and proposed a process-oriented guided inquiry learning using mobile augmented reality (POGIL-MAR) to find out how it affects science achievement, science learning motivation and learning flow. Participants were 139 10^th-grade students from a coeducational high school in Gyeonggi-do, and they were randomly assigned to the control group (TL), the treatment group 1 (POGIL), and the treatment group 2 (POGIL-MAR). They learned the concept of the chemical bond from the Integrated Science subject for four class periods. Results of two-way ANCOVA revealed that the POGIL-MAR group scored significantly higher than the other groups in a science achievement test, science learning motivation test, and learning flow test, regardless of their prior science achievement. In addition, in the case of the low-level group, the POGIL-MAR group showed a statistically significant improvement in achievement compared to the TL and POGIL groups. The MANCOVA analysis for sub-factors of science learning motivation show that the POGIL-MAR group had significantly higher scores in intrinsic motivation, career motivation, self-determination, self-efficacy, and grade motivation. In particular, the interaction effect between the teaching and learning method and the level of prior achievement was significant in the intrinsic motivation. Meanwhile, the MANCOVA analysis for sub-factors of learning flow show that the POGIL-MAR group had significantly higher scores in clear goals, unambiguous feedback, action-awareness merging, sense of control, and autotelic experience. Based on the results, educational implications for effective teaching and learning strategy using mobile augmented reality are discussed.

• KIEAE Journal
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• v.17 no.5
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• pp.95-100
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• 2017

Purpose: The purpose of this study is to investigate the prior art based on deep learning to objectively calculate the metabolic rate which is the subjective factor for the PMV optimum control and to make a plan for future research based on this study. Methods: For this purpose, the theoretical and technical review and applicability analysis were conducted through various documents and data both in domestic and foreign. Results: As a result of the prior art research, the machine learning model of artificial neural network and deep learning has been used in various fields such as speech recognition, scene recognition, and image restoration. As a representative case, OpenCV Background Subtraction is a technique to separate backgrounds from objects or people. PASCAL VOC and ILSVRC are surveyed as representative technologies that can recognize people, objects, and backgrounds. Based on the results of previous researches on deep learning based on metabolic rate for occupational metabolic rate, it was found out that basic technology applicable to occupational metabolic rate calculation technology to be developed in future researches. It is considered that the study on the development of the activity quantity calculation model with high accuracy will be done.

• Communications of Mathematical Education
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• v.35 no.4
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• pp.359-376
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• 2021

In this study, in accordance with the research trend that the learner's emotions expressed positively or negatively in mathematics learning or the learner's beliefs and attitudes toward mathematics learning affect the results of mathematics learning, the learner's emotions and affective factors are analyzed in the learner's own learning. A power that can be adjusted according to a goal or purpose is needed, and I tried to explain this power through meta-affect. To this end, the meaning of the definitional and conceptual factors of meta-affect was explored based on prior studies. Affective factors of meta-affect were viewed as emotions, attitudes, and beliefs, and conceptual factors of meta-affect were viewed as awareness, evaluating, controlling, utilization, and monitoring, and the meaning of each conceptual factor was also defined. In this study, the conceptual factors and meanings of meta-affect in terms of using them to help in learning mathematics by controlling them, beyond the identification or examination of the characteristics of the affective factors, which are meaningfully dealt with in the field of mathematics education.