• Journal of the Korean Applied Science and Technology
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• v.41 no.2
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• pp.498-507
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• 2024

In the field of mental health care, long-term healing programs have gained widespread recognition for their effectiveness in promoting well-being. However, the efficacy of shorter-term interventions, such as 1-night 2-day programs, remains relatively understudied. The primary objective of this initiative is twofold: firstly, to enhance the overall well-being and resilience of participants, and secondly, to investigate the program's potential to ameliorate specific mental health indicators. These indicators include physical stress levels, autonomic nervous system health, brain activity, brain stress, and concentration. A 1-night 2-day mental health healing program was implemented for 560 civil servants from Jeollanam-do (mean age 47.87 yrs). The focus was on measuring changes through baseline assessments before participation and post-program assessments upon completion. Measurements included physical stress index, autonomic nervous system health, brain activity level, brain stress, and brain concentration. There was a significant decrease in physical stress, as well as a significant decrease in autonomic nervous system health (p<0.05). Although there was no significant difference in brain activity level, there was a tendency for brain activity level to stabilize in the high-frequency range. Additionally, a significant decrease in stress levels and an improvement in concentration were observed. Incorporating 1-night 2-day relaxation programs into our daily lives offers a holistic approach to caring for both our physical and mental health, providing essential moments of rejuvenation and self-care that contribute to overall well-being and fulfillment.

• Journal of The Korean Association of Information Education
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• v.24 no.1
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• pp.49-57
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• 2020

The society we are living in has being changed to the age of the intelligent information society after passing through the knowledge-based information society in the early 21st century. In this study, we have developed the instructional model for software education based on the machine learning which is a field of artificial intelligence(AI) to enhance the core competencies of learners required in the intelligent information society. This model is focusing on enhancing the core competencies through the process of problem-solving as well as reducing the burden of learning about AI itself. The specific stages of the developed model are consisted of seven levels which are 'Problem Recognition and Analysis', 'Data Collection', 'Data Processing and Feature Extraction', 'ML Model Training and Evaluation', 'ML Programming', 'Application and Problem Solving', and 'Share and Feedback'. As a result of applying the developed model in this study, we were able to observe the positive response about learning from the students and parents. We hope that this research could suggest the future direction of not only the instructional design but also operation of software education program based on machine learning.

• Journal of Science Education
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• v.35 no.1
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• pp.91-101
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• 2011

In this study, Jigsaw III cooperative learning strategy and traditional learning strategy have been applied to the 'electricity' chapter of grade 8 science textbooks to know the effects of learning strategy, gender, and GPA on the students' science achievement and science learning attitude of middle school female students in gender-separated classes. For this purpose, 143 students of 4 classes in separated classes were chosen from a middle school in Daegu. One female class and one male class were assigned to the experimental group and other female class and male class were assigned to the control group. Traditional learning strategy was applied to the control group and the Jigsaw III cooperative learning strategy was applied to the experimental group. Four worksheets for expert groups were used for 18 hours through 5 weeks. Both tests for science achievement and learning attitude were administered as pre and post test. The test results were analyzed through analysis of covariance(ANCOVA) as pre test score as covariant The overall conclusions of this study were as follows: The Jigsaw III cooperative learning has improved science achievement, especially on subjective-type questions, of female students and mid-lower level students. The Jigsaw III Cooperative Learning has also improved self-directed attitude toward science learning. Female students have expressed more positive opinion about the Jigsaw III cooperative learning.

• Journal of Korean Elementary Science Education
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• v.42 no.3
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• pp.399-408
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• 2023

This study developed and applied a maker education program for an elementary school's science unit on 'Animal Life'. It examined the program's impact on students' academic achievement and creative problem-solving ability. The theme of the maker education program was 'creating a robot virtual reality (VR) exhibition hall mimicking animal characteristics'. It explored scientific concepts and creatively created a robot VR exhibition hall in accordance with the TMI maker education model. Findings revealed that the program significantly improved students' academic achievement and creative problem-solving ability (p<.05). This study provides evidence for the effectiveness of maker education in elementary school science classes and suggests that using maker education can increase students' interest in and engagement with science learning. To implement maker education more actively in elementary school science classes, stakeholders should develop various topics and programs. Additional research investigating the effectiveness of maker education in different age groups and various other areas of elementary science education is required to generalize the results of this study. Moreover, educational and teacher capacity building is required for educators to utilize maker education effectively.