• Journal of the Korea Society of Computer and Information
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• v.11 no.4 s.42
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• pp.109-117
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• 2006

E-learning method has many advantages that supplement the shortfalls of offline education. For this reason, today's offline educational institutions adopted the online education technique to improve learning effectiveness. Recently, general universities have partially adopted online learning. As a result, a study is searching for ways to improve the effectiveness of education by copying the merits of the existing offline education onto the online education. Thus a proper evaluation of learners and a feedback provision are considered necessary to improve the effectiveness of online learning. This study aims to suggest a model that will improve learning efficiency by adapting the advantages of offline education to online learning. To evaluate properly, this study conducted Item Response Test to examine the learners and finally ensure them an adequate level of education. Also, this study suggested a way to enhance learning efficiency by finding out each learner's study habits and to address the weaknesses of online learning. It is expected that the suggested method would be helpful in bettering learner's ability to study in school environment.

• Journal of the Korea Convergence Society
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• v.10 no.10
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• pp.283-289
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• 2019

This study classifies the characteristics of e-learning learners into personal and psychological factors and examines how they affect the e-learning effects and intention to reuse. For this purpose, a research study was conducted targeting university students at Y and K universities in Gyeongsangbuk-do. As a result, first, the grade, self-control, concentration and self-efficacy of the learner influenced the learning effect of e-learning. Second, learner's grade, e-learning experience, self-efficacy, and learning effect were found to influence e-learning intention. Therefore, the system design and the managerial role of the instructor should be considered in order to develop various contents considering the characteristics of university students and to manage the learning process by themselves. The results of this study are expected to provide effective data for improving the learning effect of e-learning and to provide basic data on individual characteristics of e-learning learners.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.664-675
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• 2021

This study is to analyze the selection criteria for street dance institutes in the subjects of ordinary people and students majoring in street dance who select the institutes. Moreover, it aims to enhance the perception and values of street dance and to provide with the required data for the development of institutes that train street dance. To do so, a survey was conducted in the subjects of 300 street dance learners who went to the street dance institutes. Frequency analysis, reliability test, correlation analysis, and one-way analysis of variance (ANOVA) were performed using SPSS 18.0 Program with the collected data, and the results are as follows. In summary, training programs, services, and promotional environment were identified to be important criteria to select the street dance institutes by the learners while the low level of perception on the price was found.

• Journal of the Korean Data and Information Science Society
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• v.14 no.4
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• pp.1083-1090
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• 2003

Web-based learning is currently an active area of research and a considerable number of studies have been conducted on its application in the learning environment. However, in spite of many advances in the research and development of the educational contents, questions about how the environment affects learning remains largely unanswered. In this article, we propose a Web-based learning environment to improve the educational effect. The goal of this article is not to provide a complete system to support Web-based learning but rather to describe some meaningful strategies and fundamental design concepts that utilize information technologies to support teaching and learning.

• Journal of Information Processing Systems
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• v.16 no.3
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• pp.572-587
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• 2020

Experience API provides a learner-centered model for learning data collection and learning process recording. In particular, it can record learning data from multiple data sources. Therefore, Experience API provides very good support for ubiquitous learning. In this paper, we put forward the architecture of ubiquitous learning system and the method of reading the learning record from the ubiquitous learning system. We analyze students' learning behavior from two aspects: horizontal and vertical, and give the analysis results. The system can provide personalized suggestions for learners according to the results of learning analysis. According to the feedback from learners, we can see that this u-learning system can greatly improve learning interest and quality of learners.

• Journal of Science Education
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• v.42 no.2
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• pp.106-119
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• 2018

The purposes of this study were to develop a learner activity-centered science class program, apply it to the fourth-grade elementary students, and analyze its effects on their attitude towards science, academic achievement, and concept sustainability. To this end, the content of the fourth-grade elementary subject related to 'volcanoes and earthquakes' was reorganized through 12 periods, and the class was divided into two groups. Then, general science class was applied to the comparative group, and the learner activity-centered science class program including writing, making, and expressing was applied to the experimental group. In order to compare the two groups regarding attitude towards science, academic achievement, and concept sustainability before and after the application, mind map data was collected and analyzed based on mind map grading criteria. As a result of the post-test, the two groups showed statistically significant differences in all the sub-factors of attitude towards science, that is, recognition, ability, value, and interest sustainability, especially in interest sustainability. As for academic achievement, as a result of the post-achievement test, the experimental group had higher average scores than the comparative group, and it also showed improved scores compared to the pre-achievement test results. In addition, as a result of the post-achievement test, both the two groups showed statistically significant results. In the concept sustainability test after the post-achievement test, the experimental group had higher average scores than the comparative group in the areas of center circle, branches, and expression, which were the evaluation criteria for the mind map analysis, and the two groups showed statistically significant differences in the areas of center circle and expression, except for branches. In conclusion, learner activity-centered science class turned out to be effective on students' attitude towards science, academic achievement, and concept sustainability. If the learner activity-centered science class program is actively introduced and used in actual educational sites, it is expected to contribute to improving related classes.

• Journal of Korea Multimedia Society
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• v.22 no.11
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• pp.1251-1258
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• 2019

Intelligent tutoring system enables users to effectively learn by utilizing various artificial intelligence techniques. For instance, it can recommend a proper curriculum or learning method to individual users based on their learning history. To do this effectively, user's characteristics need to be analyzed and classified based on various aspects such as interest, learning ability, and personality. Even though data labeled by the characteristics are required for more accurate classification, it is not easy to acquire enough amount of labeled data due to the labeling cost. On the other hand, unlabeled data should not need labeling process to make a large number of unlabeled data be collected and utilized. In this paper, we propose a semi-supervised learning method based on feedback variational auto-encoder(FVAE), which uses both labeled data and unlabeled data. FVAE is a variation of variational auto-encoder(VAE), where a multi-layer perceptron is added for giving feedback. Using unlabeled data, we train FVAE and fetch the encoder of FVAE. And then, we extract features from labeled data by using the encoder and train classifiers with the extracted features. In the experiments, we proved that FVAE-based semi-supervised learning was superior to VAE-based method in terms with accuracy and F1 score.

• The Journal of Korean Association of Computer Education
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• v.11 no.1
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• pp.75-83
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• 2008

The prior data structure coursewares have been limited to using a simple screen structure with text, pictures or plain animation so that they have been failed to promote favorable interaction between learners and instructors, and unnecessarily charges the screen. In order to overcome these problems, this paper provides an applet-based simulation environment which enables learner to operate and control the data structure operation with their own data, therefore, the learners can actively and positively participate in a study with this courseware. The instructors can easily deliver the education contents to the learners by using web simulation suitable for IT education media. Also, the courseware can offer a class feedback and required data for students estimation by recording a log.

• Journal of Agricultural Extension & Community Development
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• v.21 no.1
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• pp.35-82
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• 2014

It was main objectives to find the learners characteristics and educational effects of cyber agricultural technology courses in RDA. For the research, it was followed by literature reviews and internet based survey methods. In internet based survey, two staged stratified sampling method was adopted from cyber training members database in RDA along with some key word as open course or certificate course, and enrollment years. Instrument was composed through literature reviews about cyber education effects and educational effect factors. And learner characteristics items were added in survey documents. It was sent to sampled persons by e-mail and 316 data was returned via google survey systems. Through the data cleaning, 303 data were analysed by chi-square, t-test and F-test. It's significance level was .05. The results of the research were as followed; First, the respondent was composed of mainly man(77.9%), and monthly income group was mainly 2,000,000 or 3,000,000 won(24%), bachelor degree(48%), fifty or forty age group was shared to 75%, and their job was changed after learning(12.2%). So major respondents' job was not changed. Their major was not mainly agriculture. Learners' learning style were composed of two or more types as concrete-sequential, mixing, abstract-random, so e-learning course should be developed for the students' type. Second, it was attended at 3.2 days a week, 53.53 minutes a class, totally 172.63 minutes a week. They were very eager or generally eager to study, and attended two or more subjects. The cyber education motives was for farming knowledge, personal competency development, job performance enlarging. They selected subjects along with their interest. A subject person couldn't choose more subjects for little time, others, non interesting subject, but more subject persons were for job performance benefits and previous subjects effectiveness. Most learner was finished their subject, but a fourth was not finished for busy (26.7%). And their entrying behavior was not enough to learn e-course and computer or internet using ability was middle level as software using. And they thought RDA cyber course was comfort in non time or space limit, knowledge acquisition, and personal competency development. Cyber learning group was composed of open course only (12.5%), certificate only(25.7%), both(36.3%). Third, satisfaction and academic achievement of e-learning learners were good, and educational service offering for doing job in learning application category was good, but effect of cyber education was not good, especially, agricultural income increasing was not good because major learner group was not farmer, so they couldn't apply their knowledge to farming. And content structure and design, content comprehension, content amount were good. The more learning subject group responded to good in effects, and both open course and certificate course group satisfied more than open course only group. Based on the results, recommendation was offered as cyber course specialization before main course in RDA training system, support staff and faculty enlargement, building blended learning system with local RDA office, introducing cyber tutor system.

• Knowledge Management Research
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• v.5 no.1
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• pp.19-38
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• 2004

The present paper examines the effect of "community of learning" factors as well as learning and contextual factors on the e-learning performance empirically. The concept of community of learning, which was derived from community of practice, has not been emphasized in previous studies on e-learning. Data were collected from 226 people who had experienced e-learning and multiple regression analysis was used to analyze the data. The results are as follows; First, learning motivation and appropriateness of learning contents, ease of system use, and knowledge sharing have a positive effect on learner's satisfaction. Whereas, learning motivation, appropriateness of learning contents, ease of system use, knowledge sharing, and activated communication are appeared to affect the ability of performing tasks significantly.