• The Journal of Korean Institute for Practical Engineering Education
• /
• v.5 no.1
• /
• pp.28-33
• /
• 2013

In this paper, we proposed a smart learning model that reflects the environment of information and communication that rapidly changing with the advent of smart devices. There are varieties of screen size and performance of smart devices, but they can be classified smart phones, smart pads, personal computer(PC) and Smart TV. In this paper, we look for appropriate services model with method of interaction and educational content as per each device type, then present the development direction of smart learning that reflects the information communication environment and future smart learning service model according to the characteristics of each device.

• Asia pacific journal of information systems
• /
• v.33 no.3
• /
• pp.737-767
• /
• 2023

With the availability of big customer data and advances in machine learning techniques, the prediction of customer behavior at the session-level has attracted considerable attention from marketing practitioners and scholars. This study aims to predict customer purchase conversion at the session-level by employing customer profile, transaction, and clickstream data. For this purpose, we develop a multimodal deep learning fusion model with dynamic and static features (i.e., DS-fusion). Specifically, we base page views within focal visist and recency, frequency, monetary value, and clumpiness (RFMC) for dynamic and static features, respectively, to comprehensively capture customer characteristics for buying behaviors. Our model with deep learning architectures combines these features for conversion prediction. We validate the proposed model using real-world e-commerce data. The experimental results reveal that our model outperforms unimodal classifiers with each feature and the classical machine learning models with dynamic and static features, including random forest and logistic regression. In this regard, this study sheds light on the promise of the machine learning approach with the complementary method for different modalities in predicting customer behaviors.

• Proceedings of the CALSEC Conference
• /
• 2005.03a
• /
• pp.96-100
• /
• 2005

This study examines the effects of the characteristics of educational contents, brand recognition, educational management and technical support on the repurchase intention mediated by overall satisfaction, trust and commitment in e-Learning sites. A survey of experienced users was conducted to collect data. The reliability and validity of data were tested by explanatory factor analysis, Cornbach's alpha coefficient, confirmatory factor analysis and correlation analysis. Also, the structural equation mode (SEM) analysis was performed to test the usefulness of the model. The results of the study are as follows: Educational contents, educational management and technical support were found to have positive effects on overall satisfaction. And educational contents and brand recognition were found to have positive effects on trust and commitment. And trust and overall satisfaction were found to have mediating effects on repurchase intention.

• Journal for History of Mathematics
• /
• v.19 no.4
• /
• pp.117-132
• /
• 2006

For a meaningful learning of the Construction Unit in 7-B Grade, this study aims to develop teaming materials on the basis of Clairaut's $El{\`{e}}ments$ de $G{\`{e}}om{\`{e}}trie$, which is grounded on a natural generation derived from the history of mathematics and emphasizes students' inquiry activity and reflective thinking activity, and to analyze the characteristics of learning process shown in classes which use the application of teaming materials. Six students were sampled by gender and performance and an interpretive case study was conducted. Construction was specified so as to be consciously executed with emphasis on an analysis to enable one to discover construction techniques for oneself from a standpoint of problem solving, a justification to reveal the validity of construction, and a step of reflection to generalize the results of construction.

• International Commerce and Information Review
• /
• v.12 no.3
• /
• pp.311-332
• /
• 2010

This study investigate the effects of environmental and organizational characteristics on e-business competence and the influence of e-business competence on export performance in the small and medium sized firms. The development of the research model is based on the literature of e-business and the empirical studies of information technology competence. The data from the survey was analyzed using Partial Least Squares(PLS). The results from the empirical model suggest that e-business competence is affected by environmental uncertainty and market diversity as well as top management support and learning orientation. And, export performance is enhanced by e-business competence.

• Journal of The Korean Association For Science Education
• /
• v.40 no.5
• /
• pp.503-514
• /
• 2020

In a sense that achievement emotion is directly associated with achievement activity of students and its result, drastic changes in educational environment such as expansion of e-learning due to COVID-19 may have a large impact on the achievement emotion of students inevitably. However, studies on the foregoing still remain insufficient, and development of a questionnaire capable of making a quantitative measurement on the achievement emotion of students under the environment of e-learning may become the basis of relevant studies, so this study developed the e-learning Achievement Emotions Questionnaire-Korean Middle school Science(e-AEQ-KMS) and verified its validity. e-AEQ-KMS in this study was developed based on the Achievement Emotions Questionnaire-Korean Middle school Science (AEQ-KMS) and by reflecting characteristics of e-learning science class. With 226 questions in total, the questionnaire is composed to measure 9 kinds of achievement emotion such as enjoyment, hope, pride, relief, anger, anxiety, hopelessness, shame, and boredom under 3 academic situations of class situation, learning situation and testing situation. The result of this study has a great significance in the way that it set out a framework for making a comparative analysis quantitatively on the achievement emotion of Korean middle school students in science for e-learning classes.

• Hwankyungkyoyuk
• /
• v.19 no.3
• /
• pp.20-39
• /
• 2006

The purpose of the study is to develop e-Learning contents of environmental education for middle school students. The contents were developed based on literature review, the analysis of domestic and foreign programs and e-Learning contents on environmental education and expert advice. There are five main characteristics. First, this program has 12 sessions and is divided into six parts: introduction, air, water, animals and plants, soil, and resources and energy. Second, the contents were developed with consideration of middle school students' consist of optimized for learners by analyzing the needs of middle school students. Third, each part consists of five steps: "open", "unfold", "foster", "strengthen & refine", and "addition." Fourth, the contents have been developed in line with SCORM, an international standard for distnt education, to ensure reusability, accessibility, interoperability, and durability. Fifth, the contents are developed for blending online and off-line education. Developed program evaluated by 8 environmental education experts according to 10 evaluation item of total contents and contents development structure. In result, it evaluated comparatively high score.

• Smart Structures and Systems
• /
• v.24 no.6
• /
• pp.733-744
• /
• 2019

Wind speed forecasting is critical for a variety of engineering tasks, such as wind energy harvesting, scheduling of a wind power system, and dynamic control of structures (e.g., wind turbine, bridge, and building). Wind speed, which has characteristics of random, nonlinear and uncertainty, is difficult to forecast. Nowadays, machine learning approaches (generalized regression neural network (GRNN), back propagation neural network (BPNN), and extreme learning machine (ELM)) are widely used for wind speed forecasting. In this study, two schemes are proposed to improve the forecasting performance of machine learning approaches. One is that optimization algorithms, i.e., cross validation (CV), genetic algorithm (GA), and particle swarm optimization (PSO), are used to automatically find the optimal model parameters. The other is that the combination of different machine learning methods is proposed by finite mixture (FM) method. Specifically, CV-GRNN, GA-BPNN, PSO-ELM belong to optimization algorithm-assisted machine learning approaches, and FM is a hybrid machine learning approach consisting of GRNN, BPNN, and ELM. The effectiveness of these machine learning methods in wind speed forecasting are fully investigated by one-year field monitoring data, and their performance is comprehensively compared.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.10 no.2
• /
• pp.131-141
• /
• 2014

UX design e-learning systems in order to establish the reasonable structured modules that are based on interdisciplinary research. E-learning by focusing on technology-related education, information technology and psychology, business administration, etc. has been studied in the field. However, an important part of smart education, one of the students in the field of self-directed research is lacking UX design. UX Design the User Interface and Visual Identity is central to the success of the content of the important research areas in modern smart society. This case study is for smart education digital textbooks considered the characteristics of the study. Presented by the Ministry of Education on the basis of the standard of digital textbook content of the e-learning features, including multi-disciplinary analysis of UX design requires a structured model is proposed. Research data on the smart education and virtual education in UX design being used as the basis for studies forward.

• Journal of Korean Society for Quality Management
• /
• v.45 no.4
• /
• pp.917-932
• /
• 2017

Purpose: This study aims to identify the most important quality construct among system quality, information quality, and service quality, which are integrated as the second-order construct; perceived quality, and to investigate the relationship between perceived quality, learner satisfaction, learner enjoyment, switching cost, and learner loyalty. Method: Data were collected from learners who had taken e-learning course, and the analysis was conducted in two phases. The first phase described demographic characteristics using SPSS23.0; the second phase involved the second order CFA of perceived quality and the analysis of measurement model and structural model through AMOS 23.0. Results: (1) The explanatory power of system quality, information quality, and service quality appears to be almost equal; (2) Perceived quality positively influences only both learner satisfaction and switching cost; (3) Only learner satisfaction positively influences learner loyalty and switching cost negatively influences learner loyalty. Conclusion: Learner enjoyment does not play an important role in this study, which could be extrapolated in regard to the characteristics of sample. The respondents are over high school students, who emphasize on the acquisition of knowledge rather than enjoyment. Additionally, the result implies that respondents show low loyalty in the high switching cost.