• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.1
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• pp.13-21
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• 2023

This study was conducted with students who participated in an online extracurricular after COVID-19 in order to analyze the effects of college students' learning strategy, learning attitude, and achievement motivation on satisfaction. After participating in the online extracurricular, an online survey was conducted, and responses from 163 students were collected. Based on the collected data, the study results were analyzed. The results of the study are as follows. First, learning strategy was found to have a positive effect on satisfaction. These results can be inferred that positive recognition worked in the process of actually applying the learning strategies acquired through the extracurricular to their own learning. Second, learning attitude had a positive effect on satisfaction. The learner's learning attitude to develop necessary skills through experience and the sense of achievement experienced in the process of participating in the online extracurricular had a positive effect on satisfaction. Third, achievement motivation was found to have a positive effect on satisfaction. It can be inferred that the learner's active behavior by participating in the program acts as a motivation for achievement and affects satisfaction. Finally, through this study, a plan for effectively operating extracurricular in an online environment was presented.

• Journal of Information Technology Services
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• v.20 no.4
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• pp.129-140
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• 2021

Recently, interest in AI tutors is rising as a way to bridge the educational gap in school settings. However, research confirming the effectiveness of AI tutors is lacking. The purpose of this study is to explore how effective learner characteristics and recommended item learning activities are in predicting learner's academic performance in an adaptive online learning environment. This study proposed the hypothesis that learner characteristics (prior knowledge, midterm evaluation) and recommended item learning activities (learning time, correct answer check, incorrect answer correction, satisfaction, correct answer rate) predict academic achievement. In order to verify the hypothesis, the data of 362 learners were analyzed by collecting data from the learning management system (LMS) from the perspective of learning analytics. For data analysis, regression analysis was performed using the regsubset function provided by the leaps package of the R program. The results of analyses showed that prior knowledge, midterm evaluation, correct answer confirmation, incorrect answer correction, and satisfaction had a positive effect on academic performance, but learning time had a negative effect on academic performance. On the other hand, the percentage of correct answers did not have a significant effect on academic performance. The results of this study suggest that recommended item learning activities, which mean behavioral indicators of interaction with AI tutors, are important in the learning process stage to increase academic performance in an adaptive online learning environment.

• Journal of The Korean Association of Information Education
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• v.26 no.3
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• pp.187-195
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• 2022

Recently, with interest in metaverse, attempts are being made to utilize the metaverse platform in various forms. In this paper, we focused on the educational application potential of metaverse, and developed and applied a metaverse STEAM program to provide an effective learning experience to learners in non-face-to-face educational situations. The developed program utilizes Minecraft and ZEPETO, familiar to students, as metaverse learning platforms, and consists of a total of 16 lessons of 5 modules in the form of modules so that alternative classes can take place in the educational field. Through this, the learner's change in STEAM attitude and learning satisfaction were measured, and through the developed STEAM program, the learner's interest, consideration, communication, usefulness, self-concept, self-efficacy, and career choice areas significantly increased. In addition, positive results were confirmed in all areas of the learner satisfaction test related to satisfaction, interest, and overall class. In the future, considering the characteristics of the metaverse, it is necessary to break free from the constraints of time and space to communicate anew, and various learner-centered educational approaches based on a high degree of freedom and immersion should be implemented.

• Journal of Advanced Navigation Technology
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• v.13 no.2
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• pp.296-301
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• 2009

In the self-directed learning, learner can construct learning course. But it is very difficult for learner to construct learning course with understanding the various learning contents's characteristics. This research proposed the method to support to learner the information of learning contents type to fit the learner as calculate the learner's learning preference when learner construct the learning course. The calculating method of learning preference used preference vector value of topic map. To apply this method, we tested 20 learning sampling group and presented that this method help to learner to construct learning course as getting the high average degree of learning satisfaction.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.477-485
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• 2010

Web based learning systems are operating with various and lots of learning contents. But it is hard to construct learning contents to fit learners when they select learning contents for learning. In this paper, we proposed the recommendation method that can support the learning contents as calculate learner's preference using the learning history information of learner's profile when learner design and compose learning course. In the applying result of this method, we've selected testing learner group and was able to know it can help to learner processing learning by themselves as we've got great learning satisfaction after test.

• Journal of Engineering Education Research
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• v.12 no.4
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• pp.150-158
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• 2009

This study deals with the effect of learner's self-regulated learning strategy in the non-real-time online discussion. Based on these research results, it was suggested self-regulated learning strategy should be utilized in order to enhance the cognitive dimension participation and discussion satisfaction quality of non-real-time online discussion.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.12 no.1
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• pp.77-85
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• 2012

This paper describes a novel approach to adaptive courseware generation. This approach adopts its structure from existing intelligent tutoring systems and introduces a new component called pedagogical scenario model to support pedagogical flexibility in the adaptation process of courseware generation system. The adaptation is carried out using Dynamic Constraint Satisfaction Problem framework, which is a variant of classical Constraint Satisfaction Problem, to deliver courseware tailored to individual learner. Such a framework provides a high level of expressiveness to deal with the particular characteristics of courseware generation problem. Further, it automatically designs a sound courseware satisfying the design constraints imposed by the domain, the pedagogical scenario and learner models.

• The Journal of the Korea Contents Association
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• v.18 no.4
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• pp.347-356
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• 2018

This study focuses the relationships of job performance abilities with learner satisfaction and learning performance for NCS-based courses in colleges from instructors' perspectives. The results of this study show that the satisfaction of learners for NCS-based courses is statistically higher when learners are evaluated 3 times or more rather than twice or less. And also it reports that when 3 or more different evaluation methods are applied per evaluation of job performance ability, learner satisfaction is statistically higher. On the other hand, the performance of learners is turned out to be better with both evaluations of 3 times or more, and 3 or more different evaluation methods per job performance ability. However those results are not statistically meaningful. It concludes that from a view of process-based formative evaluation, evaluating job performance ability itself should be considered as an activity for improving teaching and learning in higher vocational education of colleges.

• Informatization Policy
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• v.22 no.2
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• pp.75-92
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• 2015

The purpose of this study was to analysis about the relationship among Cyber Home Learning System(CHLS) circumstance, learner construct, learning satisfaction in elementary school students. Base on the selected data which was gathered from Chungbuk & Deajeon elementary schools, Structural Equation Modeling was used to examine the relationship between factors. The main results of the research were as follow : First, CHLS circumstance factor was more effective on the CHLS satisfaction than CHLS learner construct. In CHLS circumstance factor, 'service' factor was more influential variable. Second, there is high correlation between CHLS circumstance factor and CHLS learner construct. In CHLS satisfaction, 'contents and design' factor was more influential variable. Third, the model fit, = 624.945 (p<.001), RMR .020, GFI .929, AGFI .878, NFI .927, CFI .930, RMSEA .102 was relatively satisfied with the standard using structural equation model. As based on this results, CHLS in elementary education needs elaborate circumstance for the effective achievement.

• Journal of Korea Port Economic Association
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• v.39 no.3
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• pp.61-73
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• 2023

When conducting metaverse-based logistics education, educational, entertainment, and sense of reality were presented as preceding factors as factors that content should have, and the effect on learner satisfaction by mediating learner participation was verified. The results and implications are as follows. First, educational, entertainment, and presence were found to be important factors that can improve learners' participation. Since it is a content provided as part of university education, it can be expected that the educational value will be the highest, but entertainment has been identified as the most influential variable. Therefore, in order for metaverse-based logistics education to induce learners' participation, it is necessary to plan contents that students can enjoy and enjoy. Second, it was found that learner participation has a positive effect on learning satisfaction. Although it is a virtual world, if it is real and you can interact with other learners, you will be satisfied with your learning. Therefore, it is necessary to develop contents that can induce learners' participation in order to continuously provide learning satisfaction when providing metaverse-based logistics education.