• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.167-174
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• 2021

The purpose of this study is to examine the effect of computational thinking course on learning flow and collaborative self-efficacy of university students and to explore the effectiveness of computational thinking course as liberal arts education. For this study, 177 freshmen at a university in Chungnam Province were surveyed learning flow and collaborative self-efficiency. The collected data were analyzed with Stata IC 14 for ��2 test and t-test. The results of this study are as follows. First, the learning flow of students who took computational thinking course were significantly higher(t=3.837 p<.001) compared to those who did not. Second, the collective self-efficiency of students who took computational thinking course were significantly higher(t=2.277 p<.01) compared to those who did not. Therefore the results show that computational course has positive effects on learning flow and collaborative self-efficiency of university students. Based on these findings, discussions and implications were presented on the importance and effectiveness of computational thinking course.

• The Journal of Sustainable Design and Educational Environment Research
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• v.19 no.1
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• pp.13-24
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• 2020

The purpose of this study is to analyze and match future teaching-learning methods with learning-space types as customized not only by school grade or grade groups, but also by learning modality. As a result, the following six teaching-learning methods were identified as future teaching-learning methods: flipped learning, deeper learning, collaborative learning, learning through immersive virtual reality, playful learning, and learning through OER(Open Educational Resources). There were also six learning-space types that were identified: playing and discovering space, a making and placement space, a presentation and sharing space, a space for independent study, space as a stage, and space as content(See Tables 8 and 11). Learning-space types and future teaching-learning methods were matched with 22 different types of learning modalities based on the presented degree of utilization by school grade or grade groups(See Table 13).

• The Journal of the Convergence on Culture Technology
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• v.6 no.1
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• pp.269-278
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• 2020

The purpose of this study is to verify the effectiveness of problem-based learning on self-directed learning ability and learning flow of junior college students. The study was conducted on 248 students from five departments who participated in the faculty learning community program, which was supported by the Center for Teaching and Learning Development at D University in Busan. The effectiveness of the survey conducted before and after the application of the problem-based learning method was examined to show statistically significant changes in both self-directed learning ability and learning flow. A survey on satisfaction with the problem-based learning method showed that 66.2% of all students were satisfied with their classes overall, and 64% of the respondents said that the problem-based learning method helped them understand the course, which allowed them to verify the effectiveness of the study method. This research is meaningful in that it can be used as a basic data for the search for learner-centered education methods required by the era of the fourth industrial revolution.

• Journal of the Korea Society of Computer and Information
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• v.26 no.10
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• pp.199-208
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• 2021

In this paper, the effect of artificial intelligence convergence education program that provides STEAM education using machine learning platform on elementary school students' STEAM literacy and learning flow was analyzed. A homogeneous group of 44 elementary school 6th graders was divided into an experimental group and a control group. The control group received 10 lessons of general subject convergence class, and the experimental group received 10 lessons of STEAM-based artificial intelligence convergence education using Machine learning for Kids. To develop the artificial intelligence convergence education program, the goals, achievement standards, and content elements of the 2015 revised curriculum to select subjects and class contents is analyzed. As a result of the STEAM literacy test and the learning flow test, there was a significant difference between the experimental group and the control group. In particular, it can be confirmed that the coding environment in which the artificial intelligence function is expanded has a positive effect on learners' learning flow and STEAM literacy. Among the sub-elements of convergence talent literacy, significant differences were found in the areas of personal competence such as convergence and creativity. Among the sub-elements of learning flow, significant differences were found in the areas such as harmony of challenge and ability, clear goals, focus on tasks, and self-purposed experiences. If further expanded research is conducted in the future, it will be a basic research for more effective education for the future.

• Journal of The Korean Association For Science Education
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• v.42 no.3
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• pp.357-370
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• 2022

In this paper, we developed an augmented reality learning tool suitable for chemical bond learning and proposed a process-oriented guided inquiry learning using mobile augmented reality (POGIL-MAR) to find out how it affects science achievement, science learning motivation and learning flow. Participants were 139 10^th-grade students from a coeducational high school in Gyeonggi-do, and they were randomly assigned to the control group (TL), the treatment group 1 (POGIL), and the treatment group 2 (POGIL-MAR). They learned the concept of the chemical bond from the Integrated Science subject for four class periods. Results of two-way ANCOVA revealed that the POGIL-MAR group scored significantly higher than the other groups in a science achievement test, science learning motivation test, and learning flow test, regardless of their prior science achievement. In addition, in the case of the low-level group, the POGIL-MAR group showed a statistically significant improvement in achievement compared to the TL and POGIL groups. The MANCOVA analysis for sub-factors of science learning motivation show that the POGIL-MAR group had significantly higher scores in intrinsic motivation, career motivation, self-determination, self-efficacy, and grade motivation. In particular, the interaction effect between the teaching and learning method and the level of prior achievement was significant in the intrinsic motivation. Meanwhile, the MANCOVA analysis for sub-factors of learning flow show that the POGIL-MAR group had significantly higher scores in clear goals, unambiguous feedback, action-awareness merging, sense of control, and autotelic experience. Based on the results, educational implications for effective teaching and learning strategy using mobile augmented reality are discussed.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.171-181
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• 2021

This study tried to derive improvement measures by identifying the perceptions of industrial college instructors and learners in the technology convergence sector, where various technologies are combined, as distance education at colleges are prolonged due to COVID-19 and difficulties for instructors and learners continue. To this end, an online survey was conducted on automobile professors and students at the end of the second semester of 2020. As a result of the survey analysis, it was found that professors and students had similar perceptions about the advantages of online classes, such as freedom of time and space, repeatable learning, and recycling. In terms of difficulties, it was found that students felt a decrease in learning immersion due to a lack of sense of presence, and both professors and students felt the difficulty of interaction relatively large. This study is meaningful in that it prepares suggestions and basic data on college policy support for online education at industrial colleges during and after COVID-19.

• Journal of The Korean Association of Information Education
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• v.21 no.4
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• pp.403-413
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• 2017

The purpose of this paper is to verify whether the entry programming course applied with the flow based learning type is to affect the flow of students' learning. The subjects of the study were the students in the 3rd grade of the National University of education who had not experienced the coding before, and conducted two hours of programming lessons per week for three months. Learning contents and learning materials of beginner course in Entry Homepage were used as learning materials. The teaching and learning process consisted of clear goals setting, motivation, follow-up and immediate feedback, providing application problems, and providing reflection time for students. As a result of the study, the nine factors of flow were compared before and after the experiment. The seven factors - A balance between challenges and skills, Immediate feedback, Action and awareness are merged, Distractions are excluded from consciousness, No worry of failure. Self-consciousness disappears, The activity becomes autotelic-were obtained.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.289-297
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• 2020

The purpose of this study is to examine the college life adaptation that is affected by major satisfaction, learning commitment, and time management behavior of the college of Health students. The data were collected from 482 College of Health students at U city and analyzed using descriptive statistics, t-test, ANOVA, Scheffe test, Pearson's correlation analysis, and multiple regression. As a result of this study, major satisfaction, learning commitment, and time management behavior of College of Health students showed a positive relation with college life adaptation, and those factors affected college life adaptation. Therefore, it is necessary to make and apply the programs to enhance the college life adaptation for the college of Health students, and the supports such as environmental improvement and teaching methods are required to increase the learning commitment.

• Journal of Industrial Convergence
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• v.20 no.7
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• pp.79-88
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• 2022

This study is a one group pretest-posttest design study to confirm the effect of non-face-to-face Havruta's activities on communication competency, academic self-efficacy, and learning immersion of nursing students. The study was conducted from September to October 2021. The collected data were through self-report questionnaires of 69 student nurses. The data were analyzed by frequencies and paired t-test using SPSS 24.0 program. As a result, the subjects' communication competency, academic self-efficacy, and learning immersion were significantly increased after the non-face-to-face Havruta's activities compared to before. The results of this study can be useful basic data for professors who want to apply non-face-to-face Havruta's activities to their classes in the future.

• Journal of The Korean Association of Information Education
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• v.26 no.5
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• pp.353-360
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• 2022

The purpose of this study is to verify the effect of artificial intelligence storytelling education program designed to help learning artificial intelligence based on storytelling, the most important element of human intelligence, on learning flow. To this end, a 16-hour artificial intelligence education program was designed and developed, and applied over 8 weeks to 19 gifted students in 5th and 6th grades of elementary school. Artificial intelligence storytelling education program was developed in the form of teaching and learning course plans for each class and storybooks. Artificial intelligence storytelling education program application results showed significant improvements in average scores in all 9 sub-factors of learning flow, including combination of challenges and abilities, integration of behavior and consciousness, clear goal, concrete feedback, focus on task, sense of control, loss of self-consciousness, Distortion of the sense of time, and self-purpose experience. In other words, it was confirmed that artificial intelligence storytelling education program was effective in improving learning flow.