• Journal of the Korean Data and Information Science Society
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• v.24 no.1
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• pp.63-72
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• 2013

This study it to verify the validity of Korean version of DELES (distance education learning environment survey) and analyze its relationship with learning achievement and distance education satisfaction. The target population of this study is students of K cyber university and a total of 254 cases are used for the analysis. Exploratory and confirmatory factor analysis is applied to verify 6 factors of DELES and structural equation analysis is applied to examine the relationship between distance education learning environment and learning achievement and distance education satisfaction. The study result shows that DELES is composed of six factors such as instructor support, student interaction & collaboration, personal relevance, authentic learning, active learning and student autonomy and its model fits are appropriate. The result of structural equation analysis shows distance education learning environment significantly influences distance education satisfaction directly as well as indirectly mediated by learning achievement. Learning achievement also significantly influences distance education satisfaction. Conclusions and implications are followed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.144-146
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• 2021

Idiopathic pulmonary fibrosis (IPF) is one of the most dreadful lung diseases which effects the performance of the lung unpredictably. There is no any authentic natural history discovered yet pertaining to this disease and it has been very difficult for the physicians to diagnosis this disease. With the advent of Artificial intelligent and its related technologies this task has become a little bit easier. The aim of this paper is to develop and to explore the machine learning models for the prediction and diagnosis of this mysterious disease. For our study, we got IPF dataset from Haeundae Paik hospital consisting of 2425 patients. This dataset consists of 502 features. We applied different data preprocessing techniques for data cleaning while making the data fit for the machine learning implementation. After the preprocessing of the data, 18 features were selected for the experiment. In our experiment, we used different machine learning classifiers i.e., Multilayer perceptron (MLP), Support vector machine (SVM), and Random forest (RF). we compared the performance of each classifier. The experimental results showed that MLP outperformed all other compared models with 91.24% accuracy.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.2
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• pp.147-153
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• 2024

X-rays are extensively employed for non-destructive inspection, applied to packaged food, human anatomy, and industrial products. Recently, this technology has extended to inspecting batteries in electric vehicles. Given the challenge of manual inspection for a substantial volume of batteries, deep learning is leveraged to detect battery defects. However, the effectiveness of deep learning heavily depends upon data size, and acquiring authentic defective images is a difficult and time-consuming task. In this study, we use data augmentation and investigate the impact of data size on battery inspection performance. The results provide valuable insights for enhancing the capabilities of the inspection process.

• 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.

• English Language & Literature Teaching
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• v.15 no.3
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• pp.129-150
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• 2009

This paper attempts to examine the effect of children's English stories on the development of Korean EFL primary school learners' listening and speaking competences and their motivation to learn English. This paper also discusses factors of English children's stories that make EFL learners' language learning efficient. Participants were 120 primary school students who attend one of the elementary schools in Chungnam province. They were randomly chosen and divided into two groups: experimental and control groups. In order to collect data, students' listening and speaking proficiency pre- and post-tests and the pre- and post-questionnaires regarding the participants' motivation to learn English were administered. The data were analyzed by ANOVA. The results indicate that the application of English children's stories to EFL learning settings can be an efficient way to improve EFL learners' listening and speaking competences and motivation to learn their target language. The findings of this study suggest that English children's stories provide language learners with interest, meaningful and authentic contexts and enjoyment. The pedagogical suggestion and implications are provided for EFL educators and teachers.

• Research in Mathematical Education
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• v.5 no.1
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• pp.77-86
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• 2001

The purpose of this study is to examine a theoretical framework for the interactions of learning in a small group setting of mathematical problem solving. Many researchers already have described the theoretical background for the small group settings in problem solving. However, most of the literatures merely have reported findings of achievement and rising of test scores. They ignored the observation of process taken during the small group work and have not determined how various psychological, social and academic effects are created. As results of the study, two types, mutual collaboration and asymmetric collaboration, of interactions are observed as the interactions of learning, which are conceived as the cores of authentic mathematical activities.

• Korean Journal of English Language and Linguistics
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• v.2 no.1
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• pp.123-147
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• 2002

As far as the recent ELT research concerned, it seems to have been no hot ‘theoretical’ issues, but ‘practical’ ones in general: e.g., learners and learning, components of proficiency, correlates of L2 learning, etc. This paper focuses on the theme given above, with a special reference to the sub-title: specifically, 1) World English, world Englishes and world's lingua franca; 2) ENL, ESL and EFL; 3) Grammars, style manuals, dictionaries and media; 4) Pronunciation models: RP, BBC model and General American, Network Standard; 5) Lexical, grammatical variations and discourse grammars; 6) Beliefs and subjective theories in foreign language research; 7) Dilemma among radical, canonical and eclectic views. In conclusion, the author offers a modest proposal: we need to appeal to our own experience, intention, feeling and purpose, that is, our identity to express “our own selves” in our contexts toward the world anywhere, if not sounding authentic enough, but producing it plausibly well. It is time for us (with our ethno-cultural autonomy) to need to be complementary to and parallel with its native speakers' linguistic-cultural authenticity in terms of the broadest mutual understanding.

• Research in Mathematical Education
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• v.21 no.1
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• pp.35-46
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• 2018

In this perspective paper, we present seven elements of the appropriate educator mindset for teaching in the constructivist elementary mathematics classroom. The elements include supporting students as they construct their own understanding, eliminating deficit view of slow learners, setting new understanding and growth as the learning objective, providing opportunities to co-construct meaning with peers, using student contributions as the source of curricular material, encouraging all students to participate in learning, and providing instruction not bounded by time. In our struggles to provide authentic, inclusive elementary classrooms, we hope that our discussion of the educator mindset can increase discourse on constructivism from philosophy to practice in the community of mathematics education and policy makers.

• Educational Technology International
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• v.14 no.1
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• pp.27-40
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• 2013

Design-Based Research (DBR) focuses on developing key principles of interventions to advance both theory and practicalities of dissemination (Brown, 1992), yet its methodological details have not been quite established. Thus, the purpose of this paper is to address the pragmatics of DBR by sharing the researcher's reflections on conducting a longitudinal DBR project for five years. In an attempt to advance college teaching practices as well as theories related to student plagiarism, the project focused on refining "humble" theories on how and why college students engage in plagiarism to design classroom interventions for promoting academic integrity. Similar to the Integrative Learning Design (ILD) framework proposed by Bannan-Ritland (2003), but conducted in a much simpler and less formal format, this study followed DBR cycles from initial conceptualization to design and enact instructional interventions in authentic contexts while collecting both quantitative and qualitative data from each phase. Finally, the paper addresses some challenges encountered throughout the DBR project as well as the lessons learned from this experience. Like many previous DBR studies whose practical relevance is limited to local context, the findings from this study may not be easily generalized for other contexts.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.221-228
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• 2013

A number of research studies focus on the efficacy of using such as scenario based learning. However, desirable methods have not been introduced to assess the scenario based learning. This article is to suggest a fuzzy logic based framework for scenario base learning in which more reasonable learning effects are measured. It can be solved uncertain problems of linguistic variables. Also, we suggest three measures of accuracy, comprehensibility and completeness in order to evaluate accurate effects of scenario based learning. This assessment provides the scenario to the learner in which the scenario is presented in an authentic context, and enable the learner to reach an outcome through an adequate sequence and choices. This approach enables the system to present new scenarios and outcomes based on what a user selects. In particular, the application of fuzzy logic in scenario based learning can be easily pursued certain successful path or wrong path all the way through to reach major outcome in real situation.