• Journal of Practical Engineering Education
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• v.15 no.1
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• pp.13-22
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• 2023

The purpose of this paper is to explore the impact of online problem-based learning (PBL) on learners' 4C competencies and learning experience. The results of the study showed that, first, online PBL had a statistically significant effect on learners' problem-solving skills, communication skills, and pre-service teacher efficacy. Second, learners were very satisfied with the online PBL experience and perceived it to be very beneficial to their learning and to themselves as preservice teachers. Third, learners perceived that the real-time video conferencing system and instant messenger were very helpful for successful online PBL. Fourth, regarding the important factors for successful online PBL, the participants in this study perceived that communication and sincerity are very important, and the role of the leader is also important, but personal intimacy among team members is relatively less important. Fifth, learners perceive that instructor feedback is very important for successful online PBL. Finally, the implications of this study are discussed along with suggestions for future research.

• Korean Medical Education Review
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• v.24 no.1
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• pp.56-62
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• 2022

Despite current regulations requiring social distancing due to coronavirus disease 2019, problem-based learning (PBL) requires student interaction to achieve common goals and enhance critical thinking and deep learning abilities. Social presence in the online education environment reduces both perceptions of physical distance and psychological distance in interactions. This study aimed to compare PBL activities between in-person and videoconferencing classes, and to investigate social presence and learning satisfaction in a videoconferencing PBL environment. The PBL consisted of six modules for both the first and second years of Chonnam National University Medical School. As social distancing was strengthened, the second class of the fifth module in both years was converted to an online format and the fifth module was excluded. The first four PBL modules were conducted as in-person classes, but the last PBL module was administered via videoconferencing. After the final PBL module, 100 (81.3%) first-year medical students and 90 (79.6%) second-year students were asked to complete a self-administered questionnaire on social presence and learning satisfaction. There were no significant differences in the small group activities of tutorial sessions between in-person and videoconferencing classes. In the online videoconferencing class, students who had favorable attitudes toward the tutors' social role and interactions with peers showed high satisfaction with their learning. In conclusion, online videoconferencing allows students to simultaneously perceive their interactions with others and social presence, even at a distance. Tutors can enhance a sense of online community and collaborative learning as facilitators of online PBL.

• Journal of Engineering Education Research
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• v.24 no.5
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• pp.3-14
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• 2021

This study deals with the case of online-based project learning, which was designed for the purpose of university educational innovation and enhancing learners' competencies required by society, operated during the COVID-19 pandemic. The course was applied Python programming language, team-based project learning, and intensive course system, which is required by our society and companies in the era of the 4th industrial revolution. Also it was operated as a non-face-to-face online class, which would have been operated in an offline class if it had not been for Covid 19 pandemic, to explore the possibilities and educational effects of online learning. To do this, 32 university students participated in online-based project learning during 8 weeks, and then conducted a survey. The survey results were analyzed in terms of i) non-face-to-face online learning, ii) team-based project learning, and iii) application of the intensive course system. Results say that most of the learners were satisfied with the online learning, team-based project learning, and the intensive semester system applied in this course at a high level, and also they clearly presented the reasons. Thereby, it has been confirmed that the learners were already well aware of the pros and cons of each learning method. Based on these results, the implications were discussed.

• International Journal of Control, Automation, and Systems
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• v.6 no.2
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• pp.282-287
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• 2008

In distributed mobile robot systems, autonomous robots accomplish complicated tasks through intelligent cooperation with each other. This paper presents behavior learning and online distributed evolution for cooperative behavior of a group of autonomous robots. Learning and evolution capabilities are essential for a group of autonomous robots to adapt to unstructured environments. Behavior learning finds an optimal state-action mapping of a robot for a given operating condition. In behavior learning, a Q-learning algorithm is modified to handle delayed rewards in the distributed robot systems. A group of robots implements cooperative behaviors through communication with other robots. Individual robots improve the state-action mapping through online evolution with the crossover operator based on the Q-values and their update frequencies. A cooperative material search problem demonstrated the effectiveness of the proposed behavior learning and online distributed evolution method for implementing cooperative behavior of a group of autonomous mobile robots.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.453-455
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• 2021

Due to the prolonged Covid-19, online learning has become an essential learning, not an option. In this reality, online learning method that depends on passive video viewing have limitations of poor academic performance and low learning achievement for students. In this work, to overcome these limitations, we apply PSC-Note to the PBL teaching method to improve learners' problem-solving and self-directed learning skills and also improve learning achievement.

• ETRI Journal
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• v.28 no.4
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• pp.461-474
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• 2006

This project aims to design and develop a prototype for an agent that support online collaborative learning. Online collaborative learning, which has emerged as a new form of education in the knowledge-based society, is regarded as an effective method for improving practical and highly advanced problem-solving abilities. Collaborative learning involves complicated processes, such as organizing teams, setting common goals, performing tasks, and evaluating the outcome of team activities. Thus, a teacher may have difficulty promoting and evaluating the entire process of collaborative learning, and a system may need to be developed to support it. Therefore, to promote interaction among learners in the process of collaborative learning, this study designed an extensible collaborative learning agent (ECOLA) for an online learning environment.

• Journal of the Korea Convergence Society
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• v.7 no.3
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• pp.121-129
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• 2016

This study explains the fundamental problems of MOOC (Massive Open Online Course) based on major survey results for MOOC and online courses conducted in the United States. Consequently, this study integrates the following conclusions and suggestions on how to improve MOOC and convergence of MOOC and universities under the current IT technology. First, the division into small sized classes will solve the problem of massiveness with MOOC. The problem of openness will be solved by providing differentiated courses based on placement tests; and the weakness of onlineness can be complemented through Flipped Learning methodologies. Second, in convergence of universities and MOOC, there are two desirable approache s: credit-free courses use the improved MOOC suggested in this study while credit courses are conducted by Flipped Learning, based on core online courses within departments. In addition, the credit courses offer intensive and supplementary ones together if possible. Third, MOOC will be utilized more widely as it will offer differentiated courses and be produced by education-based universities.

• Journal of KIISE:Software and Applications
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• v.31 no.11
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• pp.1431-1438
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• 2004

Reinforcement learning learns policies for accomplishing a task's goal by experience through interaction between agent and environment. Q-learning, basis algorithm of reinforcement learning, has the problem of curse of dimensionality and slow learning speed in the incipient stage of learning. In order to solve the problems of Q-learning, new function approximation methods suitable for reinforcement learning should be studied. In this paper, to improve these problems, we suggest Fuzzy Q-Map algorithm that is based on online fuzzy clustering. Fuzzy Q-Map is a function approximation method suitable to reinforcement learning that can do on-line teaming and express uncertainty of environment. We made an experiment on the mountain car problem with fuzzy Q-Map, and its results show that learning speed is accelerated in the incipient stage of learning.

• Journal of Korean Home Economics Education Association
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• v.34 no.4
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• pp.143-161
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• 2022

The aim of this study is to identify the learning performance of online classes using problem-based learning(PBL) for clothing and textiles majors in college with the increased use of online learning tools after the COVID-19 pandemic. In order to achieve this goal, the PBL was developed and applied to the 'Fashion Marketing and Merchandising' class conducted in real-time online at University in North Chungcheong Province, Korea for four weeks. After a four-week PBL class, a survey was conducted on 35 students in the 'Fashion Marketing and Merchandising' class and the 35 completed questionnaires were used for analysis. The measurement tools of this study were self-directed learning, cooperative learning ability, problem-solving ability, and learning achievement regarded as an important learning effect in PBL class. In addition, students' self-reflective essays were also analyzed to examine the educational effect of PBL applying online classes. As a result of this study, bivariate correlations among the four variables, students' self-directed learning, cooperative learning ability, problem-solving ability, and learning achievement were significantly positive. Furthermore, the results of multiple regression analysis showed that the three independent variables had significant effects on students' perceived learning achievement, in the order of cooperative learning ability, self-directed learning, and problem-solving ability. The students' self-reflective essays indicated that problem-based learning worksheet was helpful for identifying problems, and clarifying what they already and what they need to study more. Based on this study, it could be recommended that online class applying PBL could contribute to the improvement of student's learning performance.

• Journal of East-West Nursing Research
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• v.16 no.2
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• pp.96-104
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• 2010

Purpose: This research is a case study on a problem-based learning (PBL) model with blended learning in a nursing college. Methods: The target students were nursing sophomores in a nursing college who agreed to participate in a blended learning course and to be subjects in this study for 15 weeks. The questionnaires developed by Baek (2003) and Lee (2007) were modified and applied to collect data. Results: The students' satisfaction with the blending learning was the highest in the item "Online community activities were helpful in enhancing knowledge." The level of satisfaction with PBL was the highest in the item "It was helpful to listen my classmates' opinions rather than thinking all by myself." Conclusion: This study is suggestive that blended learning is effective to improve learning satisfaction by reinforcing practicality of face-to-face study to online learning. Various learning methods based on students' demands and preferences should be applied in nursing education.