• Journal of The Korean Association of Information Education
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• v.23 no.4
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• pp.363-374
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• 2019

Recently, there is an increasing interest in game based learning as a teaching method for digital native learners. This study set kinect game contributes to engaged learning as the competition and cooperation play (achievement goals, interaction), the digital game play (multisensory stimulation, fantasy and curiosity, chance, accurate feedback, control), and the body movement play (embodied cognition, presence). After performing classes using the motion recognition game developed for the elementary school history class, this study conducted semi structured interviews based on engaged learning elements of kinect game based learning for students who were successfully participating in learning. In the result, each element appeared to a successful learner. Based on these results, this study hopes to assist researchers as a basic evidence to introduce kinect game-based learning for engaged learning.

• Educational Technology International
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• v.18 no.2
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• pp.193-213
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• 2017

This study aimed to explore online learning profiles of in-service teachers in South Korea, focusing on video lecture and discussion activities. A total of 269 teachers took an online professional development course for 14 days, using an online learning platform from which web log data were collected. The data showed the frequency of participation and the initial participation time, which was closely related to procrastinating behaviors. A cluster analysis revealed three online learning profiles of in-service teachers: procrastinating (n=42), passive interaction (n=136), and active learning (n=91) clusters. The active learning cluster showed high-level participation in both video lecture and discussion activities from the beginning of the online course, whereas the procrastinating cluster was seldom engaged in learning activities for the first half of the learning period. The passive interaction cluster was actively engaged in watching video lectures from the beginning of the online course but passively participated in discussion activities. As a result, the active learning cluster outperformed the passive interaction cluster in learning achievements. The findings were discussed in regard to how to improve online learning environments through considering online learning profiles of in-service teachers.

• Korean Journal of Child Studies
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• v.31 no.2
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• pp.17-34
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• 2010

This study was aimed to at examining whether the effects of cooperative learning on children's social competence and self-esteem would be different in terms of young children's intellectual ability. To this end, a total of 64 five-year-old children attending two kindergartens in Kyunggi-Do were selected to participated in this study. Each child was tested on the short form of K-WPPSI and fell into one of two levels (high or low). The children in the experimental group took part in thirty-five 30~40 minute sessions of cooperative learning, while the control group engaged in individual learning. The results were as follows : First, children who participated in cooperative learning achieved higher improvements in social competence and self-esteem than children engaged solely in individual learning. Second, there were no any significant differences in improvement in terms of social competence and self-esteem between the high and the low intelligence levels. On the basis of these results, it could be concluded that cooperative learning had a number positive effects upon the levels of young children's social competence and self-esteem.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.7
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• pp.3638-3653
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• 2019

Designing a user interface is important because the user interface determines the level of physical and mental engagement of the user resulting in their level of learning. This paper investigated how physical engagement through a different user interfaces is associated with fun and learning and presented a theoretical physical engagement model called, PEM, developed based on an empirical user study. The PEM model describes how a game user interface is associated with the level of fun and learning, particularly in playing a full body engaged game. There are many different types of games but the Wii Tennis, an embodied interactive game, was chosen as an instance of full body engaged game. A user study with 32 participant's age ranged from 21 to 40 years old revealed that there is a positive correlation between both fun and learning and the level of physical engagement through two different user interfaces. The results of the study showed that the extent of fun and learning are associated with the physical engagement of the player through an interface. As an implication from the study, the result recommend that the level of user engagement is realized by an effective user interface, and the level of physical engagement is determined by the level of authenticity bridged by the user interface.

• The Journal of Industrial Distribution & Business
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• v.9 no.2
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• pp.65-72
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• 2018

Purpose - One of the biggest problems in the e-learning distribution process is the lack of quality content and learners' discredit in e-learning content. In order to respond to the various demands of the corporate education field appropriately, it is necessary to search for directions of new e-learning models that are out of traditional e-learning contents. The purpose of this study is to identify recent trend issues related to corporate e-learning and to suggest directions for development. Research design, data, and methodology - Based on the literature review, trend issues that should be considered important in corporate e-learning were derived. Online survey was conducted to evaluate the importance-feasibility of each issue to 13 experts on e-learning and corporate education. The contents of the questionnaire are as follows: 1) recognition of importance and feasibility of trend issues to be considered important in the future corporate education field; 2) factors to be considered in developing future e-learning contents. Results - Six trends derived from a comprehensive literature review. The most important e-learning trends for corporate education field were 'mobile learning', 'micro learning', 'blended learning', 'social learning', 'adaptive learning', 'engaged learning'. As a result of evaluating the importance and feasibility of each issue, experts point out that 'mobile learning' and 'micro learning' should be actively considered for introduction and utilization at present. In addition, 'social learning' and 'blended learning' need to be actively considered in the near future. On the other hand, experts recognized that 'adaptive learning' and 'engaged learning' need to be prepared from a long-term perspective. Conclusions - There are two main reasons for this result. First, in corporate e-learning, it is important to 1) be able to update on time, 2) the connection with the workplace is important. Second, it requires realistic verification of the expected performance of the learning model. To be considered part of the future are as follows: First, the value and effectiveness of the new e-learning type should be studied. Seconds, e-learning contents should be developed through adopting SAM or Agile methodology. Through this process, we would be able to enhance the quality in e-learning content.

• Journal of Information Technology Services
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• v.22 no.6
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• pp.17-35
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• 2023

This study investigated how helpful the use of generative AI such as ChatGPT is in conducting engaged learning at each university. In this study, based on the experiences of users using generative AI technology, we analyzed the relationship between usability and ease in consideration of the characteristics of learners, and examined whether there is an intention to continue using generative AI technology in the future. In this study, in order to verify the factors affecting the intention to use ChatGPT technology in order to solve the problems given in the participating classes, we examined previous papers based on the Technology Acceptance Model (TAM) and the Information System Success Model (IS), extracted the factors affecting the intention of ChatGPT technology, and presented the research model and hypothesis. Empirical research on the continuous use of generative AI in participatory learning using ChatGPT was conducted to determine whether it is suitable for long-term and continuous use in the educational environment, and whether it is sustainable by examining the intention of learners to continue using it. First, user satisfaction was positively related to the intention to continue using generative AI technology. Second, if the user experience has a great influence on the intention to continue using ChatGPT technology, and users gain experiences such as usefulness, interest, and effective response in the process of using the technology, the evaluation of the technology is positively formed and the intention to continue using it is high. Third, the ease of use of the technology also showed that it was intended to be used continuously when an environment was provided in which users could easily and conveniently utilize generative AI technology.

• Journal of Korean society of Dental Hygiene
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• v.12 no.1
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• pp.93-101
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• 2012

Objectives : The purpose of this study was to examine the educational effect of cooperative learning, which enables learners to make portfolio by taking advantage of their knowledge and skills acquired through practice, on an oral prophylaxis practice course in an attempt to stir up the spontaneous learning of learners, their learning interest and problem-solving skills. Methods : The selected dental hygiene students engaged in cooperative learning in oral prophylaxis practice III class in the second semester of their sophomore year by utilizing portfolio that was prepared by altering an inclusive dental hygiene practice model. They completed all the 15-week practice course, and then their portfolio was evaluated. They were divided into eight nonequivalent groups whose members were all different in academic standing, and their learning strategies and academic self-efficacy were checked before and after the instruction was provided. And their satisfaction with the class was investigated after the instruction was provided. Results : 1. There were significant gaps to $0.36{\pm}0.07$ in the charge of learning strategies after they engaged in cooperative learning(p<0.01). There were the broadest differences in cognitive strategies to 3.61, followed by metacognitive strategies to 3.19, and significant differences were found in all the subfactors(p<0.01). 2. There were significant gaps in the charge of self-efficancy to $0.13{\pm}0.06$ after they engaged in cooperative learning(p<0.01). There were the widest differences in self-regulating efficancy to 3.49, followed by confidence to 3.03 and task difficulty preference to 2.97, and significant differences were found in all the subfactors(p<0.01). 3. When their satisfaction level was analyzed after engaging in cooperative learning, there were significant gaps to 3.94 in the satisfaction level with all of the lectures(p<0.01). There were significant gaps in the satisfaction level with lecture to 4.20, with ensuring academic achievement to 4.13 and with cooperative learning to 3.48 (p<0.01). Conclusions : The above-mentioned findings indicated that cooperative learning had a positive impact on the learning strategies, academic self-efficacy and class satisfaction of the learners, and this study is expected to lay the foundation for the development of new teaching methods for dental hygiene.

• Korean Medical Education Review
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• v.23 no.2
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• pp.118-127
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• 2021

Due to the coronavirus disease 2019 pandemic, the new norm of online learning has been recognized as core to medical institutions for academic continuity, and students are expected to be motivated and engaged in learning while maintaining distance from other peers and educators. To facilitate students' and educators' newly defined roles in online medical education settings, it is crucial to understand how students are actively motivated and engaged in learning. Hence, this study explored medical students' motivational regulation profiles and examined the effects of motivational regulation strategies (MRS) on cognitive learning and learning engagement for online learning. Data were collected after the end of the first semester in 2020 from a sample of 334 medical students enrolled at a public university school of medicine. Latent profile analysis indicated three subgroups with different motivational regulation profiles: the low-profile, medium-profile, and high-profile groups. Regarding different MRS patterns in the high-profile group, mastery self-talk, performance approach self-talk, and the self-consequating strategy appeared to be most applicable for regulating learners' motivation. Analysis of variance showed that the profile groups with higher levels of MRS use were connected to a higher willingness to use cognitive learning strategies and a higher degree of engagement in online learning. The findings of this study emphasize the use of specific sets of MRS to support learning motivation and the need to design effective self-regulated learning environments in online medical education settings.

• The Journal of the Korea Contents Association
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• v.22 no.6
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• pp.413-427
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• 2022

The purpose of this study was to improve and verify task value and academic self-efficacy of university students with metaverse gamification teaching method combining flipped learning and project-based learning. The subjects in this study were 16 university students majoring in counseling psychology who engaged in K university in cheong-ju. The subjects were assigned to the experimental group or the comparison group. The experimental group received the proposed metaverse gamification teaching method combining flipped learning and project-based learning while comparison group received teacher-centered learning. The dependent variables in this study were task value and academic self-efficacy. Each variable was assessed before class, after the end of the class. At the end of the class, the experimental group engaged statistically significantly higher levels of task value and academic self-efficacy than the comparison group. The findings of this study suggest that this metaverse gamification teaching method combining flipped learning and project-based learning is effective at improving task value and academic self-efficacy.

• Journal of The Korean Association For Science Education
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• v.32 no.9
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• pp.1427-1442
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• 2012

This study tracked the changes of preservice biology teachers' pedagogical knowledge along with science teaching efficacy throughout sequentially developed science methods course I and II over two consecutive semesters. Two courses, science methods course I and II, aimed these preservice teachers to discuss the notion of science teaching with teaching and learning theories, to learn science instructional models, to design lessons utilizing science instructional models, and to eventually implement microteaching. The preservice teachers were mainly engaged in cooperative instructional planning activities through science methods course I, and engaged in cooperative microteaching activities through the science methods course II. This study revealed that preservice teachers successfully developed pedagogical knowledge and science teaching efficacy after two science methods courses. The science methods course I where cooperative instructional planning activities occurred helped the preservice teachers to improve pedagogical knowledge but not science teaching efficacy. Based on their pedagogical knowledge development, then, these preservice teachers increased science teaching efficacy belief after completion of the science methods course II.