• The Journal of the Convergence on Culture Technology
• /
• v.9 no.1
• /
• pp.471-478
• /
• 2023

Teaching and learning research is essential to prepare for the era of the 4th industrial revolution. We must strengthen the creative educational capabilities of prospective teachers by improving the curriculum and teaching-learning model of teacher training colleges. Future education should foster creative thinking based on communication and collaboration. In this study, we improved the future teaching and learning model and applied it to actual classes. In addition, we verified the effectiveness by conducting pre- and post-surveys on the capabilities of future creative teachers. The survey consists of common satisfaction questions and questions about future creative teacher capabilities. As a result of the analysis, we confirmed that the capacity of future creative teachers increased.

• Journal of Educational Research in Mathematics
• /
• v.26 no.1
• /
• pp.1-22
• /
• 2016

This study aims to design an exemplification task to facilitate the students' creative thinking, and to investigate mathematical creativity which emerges from exemplification. In particular, we aim to identify the ways to design exemplification tasks which encourage creative thinking, and characterize mathematical creativity fostered by exemplification. The findings showed that the students' creative thinking related to fluency, flexibility, elaboration, and originality emerged through exemplification.

• Journal of Engineering Education Research
• /
• v.13 no.2
• /
• pp.22-27
• /
• 2010

From a lot of survey, it is obvious that most students in universities lose their desire for learning just after entering their universities. In order to solve this problem, we developed a novel educational tool for the students, named "The thinking method based on matrix diagram". If they try hard with the help of this tool, they will be able to learn how to design and manage their splendid university lives in addition to get the basic knowledge and to improve their basic abilities. It is also found that they can earn the shared knowledge mutually after learning a common method, which supports to make them to improve their communication abilities drastically.

• Journal of The Korean Association of Information Education
• /
• v.24 no.1
• /
• pp.59-69
• /
• 2020

The purpose of this study is to design the framework of evaluation on learner's cognitive skill for artificial intelligence(AI) education through computational thinking. To design the rubric and framework for evaluating the change of leaner's intrinsic thinking, the evaluation process was consisted of a sequential stage with a) agency that cognitive learning assistance for data collection, b) abstraction that recognizes the pattern of data and performs the categorization process by decomposing the characteristics of collected data, and c) modeling that constructing algorithms based on refined data through abstraction. The evaluating framework was designed for not only the cognitive domain of learners' perceptions, learning, behaviors, and outcomes but also the areas of knowledge, competencies, and attitudes about the problem-solving process and results of learners to evaluate the changes of inherent cognitive learning about AI education. The results of the research are meaningful in that the evaluating framework for AI education was developed for the development of individualized evaluation tools according to the context of teaching and learning, and it could be used as a standard in various areas of AI education in the future.

• Journal of The Korean Association of Information Education
• /
• v.25 no.2
• /
• pp.367-375
• /
• 2021

This study developed and applied an artificial intelligence education program as an educational method for increasing computational thinking of elementary school students and verified its effectiveness. The educational program was designed based on the results of a demand analysis conducted using Google survey of 100 elementary school teachers in advance according to the ADDIE(Analysis-Design-Development-Implementation-Evaluation) model. Among Machine Learning for Kids, we use scratch for block-based programming and develop and apply textbooks to improve computational thinking in the programming process of learning the principles of artificial intelligence and solving problems directly by utilizing numerical data. The degree of change in computational thinking was analyzed through pre- and post-test results using beaver challenge, and the analysis showed that this study had a positive impact on improving computational thinking of elementary school students.

• Proceedings of the Korea Society of Design Studies Conference
• /
• 1995.04a
• /
• pp.86-87
• /
• 1995

• International Journal of Contents
• /
• v.15 no.4
• /
• pp.50-58
• /
• 2019

Baotu Spring Park, a must-visit place in Jinan, China, has been rated as the country's highest-level scenic spot by the Chinese government. However, social media that highly reflects public opinions tends to express a lower evaluation of Baotu Spring Park. Thus, this paper employs service design thinking methods to identify the problems of Baotu Spring Park and provide solutions from the perspective of visitors. Based on desk research, tourist behavior tracking, contextual interviews, and a customer journey map, it was found that the service gap of Baotu Spring Park lacks a unified and effective instruction system. Also, the activities, parking, and high-quality tourist souvenirs are deficient, and there is no online information delivery platform. Finally, five suggestions are made,-respectively:,- redesign the sign system, enhance the participation of tourists, redesign the tourist souvenirs and display space, offer parking areas and shuttle buses, as well as set up a dedicated application.

• The Journal of Korean Academic Society of Nursing Education
• /
• v.22 no.1
• /
• pp.42-50
• /
• 2016

Purpose: The purpose of this study was to investigate the effects of action learning on critical thinking disposition, communicative competence, and problem-solving ability in nursing students. Methods: The design for this was a nonequivalent control group pretest-posttest design was used for identification of the effects of lessons using action learning. The consenting participants were 184 fourth-year nursing students in D-city (Experimental group=95, Control group=89). Data was collected and the program was conducted from May 2 to July 19, 2015. Data was analyzed with an ${\chi}^2-test$, a t-test, and a paired t-test and utilized the SPSS win 21.0 program. Results: There were significant differences in critical thinking ability (t=5.00, p<.001), problem-solving ability (t=4.52, p<.001), and communicative competence (t=4.97, p<.001) in the experimental group compared to the control group. Conclusion: The study findings suggest that action-learning programs have proven to be an effective educational program for improving the critical thinking ability, problem solving ability, and communicative competence of nursing students. Action learning can be an effective teaching strategy.

• 한국정보교육학회:학술대회논문집
• /
• 2021.08a
• /
• pp.1-6
• /
• 2021

This study designed an artificial intelligence education program using localized public data as an educational method for improving computational thinking in elementary school students. Program design and development was carried out based on the results of pre-requisite analysis on elementary school students according to the ADDIE model. Based on localized public data, the program was organized to learn the principles of artificial intelligence by utilizing "Machine Learning for Kids" and "Scratch" and to solve problems and improve computational thinking skills through abstracting public data for purpose.Through subsequent research, it is necessary to put this education program into the field and verify the change in students' computational thinking as a result.

• World Technopolis Review
• /
• v.5 no.1
• /
• pp.30-46
• /
• 2016

This paper is intended as an opening of a dialog on how to apply platform thinking in the development of innovation environments. It will briefly describe a new STP (Science and Technology Park) concept called 3GSP (Third Generation Science Park), which is gaining momentum in Finland. The paper explains the fundamental changes that are currently taking place in the global innovation environment and explains why platform thinking is becoming an essential element in ecosystem development. The theoretical background and classifications of platforms are described and the benefits to be gained from STP perspective are highlighted. The paper emphasizes especially the role of so called 'competence platforms' and explains the main characteristics of a fully working competence platform. The role of competence platforms in understanding serendipity and as a fundamental factor in building the team is also highlighted. The paper analyses from STP perspective several practical examples, where platform thinking supports the emergence of new innovation environments, including Urban Mill (Finland) and Meetberlage (Netherlands). The requirements for comprehensive competence platform services are presented and their potential to support community building and therefore ecosystem development is illustrated. This analysis will provide STP practitioners with new models for applying platform thinking and will help to establish co-creation, open innovation and serendipity management practices. The case studies presented will help STP management teams to evaluate the benefits of competence platforms in different contexts.