• Journal of Engineering Education Research
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• v.23 no.3
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• pp.41-48
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• 2020

In light of the 4th industrial revolution, this research identifies critical thinking education as the key component of cultivating a new pool of integrative talents. It seeks to find ways to incorporate artificial intelligence, one of the biggest upcoming innovations, into critical thinking education. This paper aims to propose an education model that raises awareness on related issues of AI and set a healthy direction for its development through debates on topics raised by the film, Ex Machina, which depicts the dangerous implications of AI technology.

• Journal of Engineering Education Research
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• v.12 no.3
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• pp.118-128
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• 2009

The purpose of this study is to develop a teaching and learning model for the field of engineering to nurture innovative thinking and competency in engineering elites of the next generation. We have reviewed the literature to find out the necessary thinking and capabilities required for the next-generation engineers, and analyzing domestic and international case studies. As a result, we have created Scientific Inquiry and Creative Activity with Technology (SICAT) as a teaching and learning model applicable for the Fusion Materials field. SICAT model is classified ARDA, CoCD, ReSh type to apply directly in class according to teaching and learning objective. And we developed SICAT teaching and learning model guidebook for teachers. In near future, It should be consolidated the validity of the model and improved succeedingly in engineering education through applying and analyzing effectiveness in classes.

• The Journal of the Convergence on Culture Technology
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• v.10 no.6
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• pp.561-572
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• 2024

Recent advancements in generative AI technologies, such as ChatGPT, as well as in cloud computing and big data, have brought about rapid changes across all aspects of human life and industry. Amidst these changes, a new civilization called the "Intelligent Information Society" is emerging, highlighting the growing importance of AI education. This study aims to systematically analyze the educational elements necessary for building an Intelligent Information Society and propose an ideal model for AI education. It examines various international and domestic cases of intelligent information education to identify the current status and key issues and to explore potential solutions. Additionally, the study proposes foundational, specialized, applied, and future-oriented AI education models, providing educational methodologies tailored to each level. Based on these models, a strategic education roadmap and policy recommendations are developed to establish a foundation for the harmonious development of humans and technology in the Intelligent Information Society. This study seeks to reaffirm the significance of AI education as a critical element for advancing the Intelligent Information Society and to provide direction for future educational strategies.

• Educational Technology International
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• v.21 no.1
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• pp.1-29
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• 2020

Despite the existing body of literature focusing on the effects of one-to-one mobile technology integration in teaching and learning, research discussed that the determinants of mobile technology acceptance and use in secondary school settings are still unclear. Hence, this study examined the extent to which determinants influence high school students' behavioral intention to use one-to-one mobile technology for learning. The newly proposed model incorporated three additional constructs beyond those in the unified theory of acceptance and use of technology (UTAUT) model, including computer self-efficacy, attitude toward using technology and computer anxiety, as suggested by recent literature. Data were collected from 247 U.S. Midwestern high school students who participated in an online survey. Using a structural equation modeling approach, this study established construct validity for the nine-construct extended UTAUT model to assess high school students' intention to use mobile technology. The results of structural relations in the proposed model showed that their behavioral intention to use mobile technology was significantly predicted by social influence and attitude toward using technology. Also, their strong behavioral intention and facilitating conditions were associated with frequent use of mobile technology in learning. Discussion, implications, and conclusion were addressed in this study.

• Nuclear Engineering and Technology
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• v.54 no.11
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• pp.4013-4021
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• 2022

A kind of zirconium phosphate mesoporous coordination polymer Zr-EDTMPA was successfully synthesized and characterized using XRD, FTIR, TGA, EA, SEM-EDS, and N₂ sorption-desorption measurements. The prepared Zr-EDTMPA was first employed for the removal of Co(II) from an aqueous solution, and the effects of pH, contact time, temperature, initial Co(II) concentration, reusability, and sorption mechanism were systematically investigated. The results showed that the Zr-EDTMPA is a zirconium phosphate complex formed by the coordination of EDTMPA to Zr in a molar ratio of 1:1. The sorption of Co(II) by Zr-EDTMPA was a pH-dependent, spontaneous and endothermic process, which was better fitted to the pseudo-second-order kinetic model and Langmuir isotherm model. The Zr-EDTMPA was demonstrated to have excellent reusability and presented a high sorption capacity of 73.0 mg·g^-1 for Co(II) at pH 8.0. The sorption mechanism was mainly attributed to the strong coordination between cobalt and the untapped hydroxyl functional groups on Zr-EDTMPA, which was confirmed by XPS spectra. Therefore, as a candidate sorbent with high sorption capacity and excellent reusability, Zr-EDTMPA has a great potential for the removal of Co(II) from aqueous solutions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.4
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• pp.1738-1756
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• 2020

To improve the accuracy and realism of the virtual surgical simulation system, this paper proposes an optimized mass-spring model with shape restoration ability based on volume conservation to simulate soft tissue deformation. The proposed method constructs a soft tissue surface model that adopts a new flexion spring for resisting bending and incorporates it into the mass-spring model (MSM) to restore the original shape. Then, we employ the particle swarm optimization algorithm to achieve the optimal solution of the model parameters. Besides, the volume conservation constraint is applied to the position-based dynamics (PBD) approach to maintain the volume of the deformable object for constructing the soft tissue volumetric model base on tetrahedrons. Finally, we built a simulation system on the PHANTOM OMNI force tactile interaction device to realize the deformation simulation of the virtual liver. Experimental results show that the proposed model has a good shape restoration ability and incompressibility, which can enhance the deformation accuracy and interactive realism.

• Journal of The Korean Association For Science Education
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• v.23 no.4
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• pp.386-400
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• 2003

This paper presents an analysis of the Developmental Approaches in Science, Health and Technology (DASH) program, a K-6 curriculum developed by the Curriculum Research & Development Group (CRDG) at the University of Hawaii employing the curriculum analysis framework created by Posner. Using this framework the analyst found that the DASH design is based on the research on learning, teaching, and assessment now driving efforts to reform science education at the elementary level. DASH embraces the constructivist idea that learning is a personal and social process and the recapitulation model that new concepts are built out of theories previously learned. DASH provides an understandable, exciting, and memorable experience in the operations of science, health, and technology, and develops their capacity to use the skills and knowledge of science, health, and technology both in and outside school. A number of studies of DASH have examined its functionality, effectiveness of pedagogy and what students learn. The innovative nature of DASH necessitated a multidimensional assessment that included both quantitative and qualitative research techniques. Ongoing development of the DASH program in the research setting of a university laboratory school permits ever deeper connections with emerging curriculum theory and curriculum practice, and allows new linkages as ideas are tested in research classrooms.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.394-398
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• 2022

The article determines that the study of the development of scientific and didactic knowledge about the educational process in higher education should be built mainly on the basis of qualitative research methods that ensure the identification and understanding of the changes taking place in didactic knowledge, in the unity of their internal and external manifestations. On the basis of the epistemological model of the study of science, a generalized model of didactic knowledge about the educational process in higher education, including didactic relations as a theoretical core, subject of research, research methods and positions of researchers, ways of interaction between science and educational practice, and thematic structures of didactic knowledge; scientific and methodological problems of didactic knowledge about the educational process in higher education at the present stage of its developments due to the post-nonclassical transformation and orientation of research towards the humanitarian ideal of scientific character.

• International Journal of Advanced Culture Technology
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• v.10 no.2
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• pp.62-68
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• 2022

Evaluation as learning is important for the learner competency test, and the applicable method is studied. Assessment is the role of diagnosing the current learner's status and facilitating learning through appropriate feedback. The system is insufficient to enable process-oriented evaluation in small educational institute. Focusing on becoming familiar with the AI through experience can end up simply learning how to use the tools or just playing with them rather than achieving ultimate goals of AI education. In a previous study, the experience way of AI education with PLAY model was proposed, but the assessment stage is insufficient. In this paper, we propose ELAS (Experiential K-12 AI education Learning Assessment System) for small educational institute. In order to apply the Assessment factor in in this system, the AI-factor is selected by researching the goals of the current SW education and AI education. The proposed system consists of 4 modules as Assessment-factor agent, Self-assessment agent, Question-bank agent and Assessment -analysis agent. Self-assessment learning is a powerful mechanism for improving learning for students. ELAS is extended with the experiential way of AI education model of previous study, and the teacher designs the assessment through the ELAS system. ELAS enables teachers of small institutes to automate analysis and manage data accumulation following their learning purpose. With this, it is possible to adjust the learning difficulty in curriculum design to make better for your purpose.

• Journal of Service Research and Studies
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• v.2 no.1
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• pp.1-11
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• 2012

Until Now, Many IT Service companies in Korea have grown up by giving the useful service of Information Technology System to customer in the domestic market. But nowadays, When Information Technology becomes a Smart Technology that give convergence between some industries, Intelligence, Mobility by combining so many industry technologies, business opportunities with smart technology increase bigger than ever. In accordance with the above directions, this study introduces the result of case study in the LG CNS Companies. This case involves a story that innovate a service model by smart technology, and create educational programs to change the way of employee working by Human Performance Tehnology.