• Journal of the Korea Society of Computer and Information
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• v.23 no.11
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• pp.229-238
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• 2018

The purpose of this study is to investigate the mediating effect of learners' learning flow in the effect of presence on academic achievement in web-based e-learning. For this purpose, this study analyzed the influencing relationship between the each factor based on the structural model with the learning flow as a mediator variable. Based on existing theoretical studies, learning satisfaction and academic achievement, which represent learning outcomes, are set as dependent variables, and teaching presence, cognitive presence, and social presence are set as independent variables. Data collected from a total of 256 e-learning learners were used in the analysis of this study. According to the results of the analysis, teaching presence, cognitive presence, and social presence were found to have a significant effect on academic achievement when a learning flow is a mediator variable. Concretely, teaching presence, cognitive presence, and social presence have a positive effect on the learning flow, while learning flow has a positive effect on learning satisfaction. On the other hand, learning flow has a negative effect on academic achievement. As a result of verifying the mediating effect of learning flow on the relationship between presence, learning satisfaction, and academic achievement, there was meditating effect in the aggregate. This study implies that in order to increase the level of learning satisfaction and academic achievement, it is necessary to make the teaching-learning design in the provision of contents and materials for e-learning so that the learner can feel the presence. The results of this study can be used as a basic data for seeking support and promotion strategies for enhancement of future learning flow and presence.

• The Journal of the Korea Contents Association
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• v.11 no.7
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• pp.179-191
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• 2011

This study aims to elucidate the relationship between the characteristics of adult learners and flow in cyber-class along with relationships among flow, stress, and problem-solving ability. The research subjects were 1044 enrolled students at Cyber University located in Seoul through voluntary on-line questionnaire. The analysis is following: The components of flow on cyber-class including enjoyment, engagement, focused attention, and time-distortion show the significant difference upon the characteristics of adult learners such as school grade, age, marital status, and number of registered classes. In addition, the flow on cyber-class has the negative relationship with stress and the positive relationship with problem-solving ability. To improve the level of flow on cyber-class, it is important to develop the new on-line class and class materials with the consideration of characteristics and diverse backgrounds of adult learners. The incorporation of various interactive evaluation can also improve the flow level of adult learners in cyber class. Finally, the learning counselling service might be essential for adult learners to experience flow on cyber-class.

• The Journal of Korean Association of Computer Education
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• v.12 no.1
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• pp.15-22
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• 2009

Computer programming language learning has an educational effect on improving the high level abilities such as a logical thinking ability and a problem solving ability as well as on understanding a computer working process through the process of programming and debugging tasks. In this study, the Flow Theory is applied for the students to have inner learning motive and continue their learning in the programming language learning. For this, we developed teaching-learning strategies applied by Flow elements, and designed to the WBI. We also applied to the actual teaching-learning field designed WBI and verified the effects on the changes in the learner's Flow level and academic achievement. The result of verification, WBI learning applied by Flow Theory is effective on improving Flow level, making the students have the learning goal and spirit of challenging, forming feedbacks. Also Flow experiences have effect on improving academic achievement(programming ability) through the positive effects on the results of the learning.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.403-409
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• 2020

Gamification can be more fun and interesting than boring and it can be used for variety of educational subjects. Through the fun and flow of the learner, the learner understands the meaning and context of the problem to be solved. It will be able to collect, analyze and creatively solve data in a way that computers understand. Training through gamification will be an effective and memorable coding education for the efficient learning of coding education among the newly designated compulsory education. It is considered to be highly useful as a convergence study to increase tourism experience. Currently, in the field of school, coding education is mainly conducted using entry and scratch, which are educational programming languages, and coding education using gamification is not extensively used in the current education field. It is also expected to be used to increase the tourism experience, and it can be used to enhance the learner's computational thinking ability and creativity.

• Computers and Concrete
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• v.16 no.5
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• pp.741-757
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• 2015

In the last decade, several modeling approaches have been proposed and applied to estimate the high-performance concrete (HPC) slump flow. While HPC is a highly complex material, modeling its behavior is a very difficult issue. Thus, the selection and application of proper modeling methods remain therefore a crucial task. Like many other applications, HPC slump flow prediction suffers from noise which negatively affects the prediction accuracy and increases the variance. In the recent years, ensemble learning methods have introduced to optimize the prediction accuracy and reduce the prediction error. This study investigates the potential usage of bagging (Bag), which is among the most popular ensemble learning methods, in building ensemble models. Four well-known artificial intelligence models (i.e., classification and regression trees CART, support vector machines SVM, multilayer perceptron MLP and radial basis function neural networks RBF) are deployed as base learner. As a result of this study, bagging ensemble models (i.e., Bag-SVM, Bag-RT, Bag-MLP and Bag-RBF) are found superior to their base learners (i.e., SVM, CART, MLP and RBF) and bagging could noticeable optimize prediction accuracy and reduce the prediction error of proposed predictive models.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.4
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• pp.177-187
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• 2018

The purpose of this study is to investigate the influence of learning flow, learning interest, and academic achievement by dividing the time when class was taught by Havruta. The Havruta teaching method is a traditional Jewish method of learning, with a one-on-one discussion with a partner that has a positive impact on each other. Havruta teaches learners through various perspectives and perspectives, helping them to improve their learning ability by attracting new ideas and solutions. In the computer lab, there is a big difference between the students according to the learner's abilities. Therefore, it is thought that the Havruta teaching method will help the learners who have lost interest in learning and improve the learning ability in the conventional way which does not consider personal abilities. do. In this paper, based on the friendship teaching model of the Havruta teaching style, the experimental group was taught through the Havruta practice and the play. Through the pre- and post-test, the students who taught the class with the help of the verbal method improved the learning flow, the learning interest and the academic achievement.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.1
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• pp.85-94
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• 2010

One of the most significant changes is the paradigm shift from teacher-centered learning to learner-centered learning. Along with this paradigm shift, understanding of characteristics of e-learners who are both system users and learners is needed. Before suggesting a comprehensive framework, this study proposes research model that can improve a learning performance using the flow theory. The results show that intrinsic interest and focused attention are significant predictors of learning performance. Especially, intrinsic interest is more important on learning performance than focused attention. Information quality and skill are found to be strong predictors of the intrinsic interest. Also, perceived ease of use, skill and computer self-efficacy are strong predictors of the focused attention.

• Journal of The Korean Association of Information Education
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• v.24 no.4
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• pp.379-390
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• 2020

Recently, interest in online teaching·learning and evaluation tools has increased in the context of Covid-19. In order to use tools effectively, it is necessary to identify the structural influence and causal relationship between the learner's affective and cognitive variables. In this study, to identify a causal relationship between motivation and thinking while using online judge, research and competing model were established and model fit/path analysis were performed. It was found that there was a linear causal relationship from tool usage, self-efficacy, flow, logical thinking, to computational thinking. It was confirmed that 'self-efficacy → flow', or 'flow' had mediating effect on the path from tool usage to thinking, and tool usage was not exerted to thinking through 'flow → self-efficacy'. The causality of 'logical thinking → computational thinking' was identified on the path where tool usage affects thinking ability through learning motivation, but the causality of 'computational thinking → logical thinking' was not identified.

• The Journal of Korean Association of Computer Education
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• v.14 no.3
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• pp.63-72
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• 2011

Satisfactory e-learning experience of working part-time adult students is a truly dynamic and multidimensional process that reflects learning needs and abilities. Special attention is given to understanding the role of student-to-faculty interaction, student-to-student interaction, e-learning content and course structure, flow, periodic off-line class meetings and synchronous Q&A sessions. Survey questions were developed and distributed to adult graduate students. Some of them were asked to complete the questions with the most interesting subjects or classes in their mind, and others with the most difficult subjects in their mind. The structural model for each group was tested. The values of path coefficients corresponding to the group with the difficult subjects turn out to be higher for the following paths; a) interaction among professors and students and satisfaction, b) contents quality and flow, c) Q&A and interaction among professors and students, d) Q&A and interaction among students. For the other paths such as interaction among students and satisfaction, contents structure and flow, the coefficient values corresponding to the group with the interesting subjects are higher. Some implications for e-learning design were provided as well.

• The Journal of Information Systems
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• v.20 no.4
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• pp.181-204
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• 2011

Recently, the development of ICT(information & communications technology) with the advent of new media paradigm shift in learning has brought a dramatic impact on the competitiveness of universities. The previous studies on the academic performance of e-learning mainly targeted on e-learning users, studying additional synchronization and system quality factors to measure academic performance. This study empirically analyzed the learning flow and academic performance considering both DeLone & McLean model system quality and synchronizing factors based on ARCS model. Relating to quality and synchronization factors, the academic performance of e-learning system was tested, and the difference between learning flow and academic performance was also analyzed based on time-series data, by the test difference(in the beginning, during, and final of the semester). The results of the study are as follows. First, the study shows that both system quality and synchronization directly affected the learning performance. Thus, when designing e-learning system, it is necessary to consider these two factors at the same time. Second, the indirectly mediating effect on the system quality and synchronization factors turned out to be significant in learning flow. Third, the result of regression analysis on the contents of utilizing dummy variable presents that the teacher's explanation has greater influence than multimedia has to the academic performance, and furthermore, the test difference showed no significance. Further research should be undertaken to consider the learner's degree of acceptance which reflects various aspects for building m-learning or u-learning.