• Proceedings of the KAIS Fall Conference
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• 2009.05a
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• pp.289-293
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• 2009

본 논문은 공학교육과정에 기술사업화 교육이 본격적으로 도입되고 있는 최근 추세 하에 국내 공학교육 환경을 고려한 효과적인 기술사업화 교육시스템 모델을 제시하는데 그 목적이 있다. 이를 위해 첫째, 본 논문은 문헌연구를 통해 국내 공학교육 과정에서 전개되고 있는 기술사업화 교육의 주요 이슈들에 대해 진단하고 효과적인 기술사업화 교육시스템의 구축 방향을 분석하였다. 둘째, 본 논문은 문헌연구와 해외사례연구를 통해 공학교육과정에서 도입해야 하는 효과적인 기술사업화 교육시스템 모델을 정의하였다. 셋째, 본 논문은 국내 공학과정에 이미 도입된 기술사업화 교육시스템과 효과적인 기술사업화 교육 시스템 모델간의 비교연구를 통해 현재 국내 공학교육에서 이루어지고 있는 국내 기술사업화 교육시스템의 문제점을 진단하고 합리적인 개선방안을 제시하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.12
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• pp.6455-6460
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• 2013

Learner modeling forms the foundations for intelligent tutoring systems that provide adaptive and active learning guidance for learning and education quality enhancement. The aim of this study was to develop learner modeling technologies to form the foundation of intelligent tutoring systems. Specific research tasks include learner modeling building techniques, diverse learner state diagnosis methods and educational data mining.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.159-166
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• 2023

Humanities are as crucial as the technology itself in the intelligent information society. Human-centered convergence information technology (IT), which reflects emotional and human nature, can be considered a unique technology with an optimistic outlook in the unpredictable future. Based on this research background, this paper proposed an education model that can improve the IT humanities capabilities of various learners, including elementary and secondary students, prospective teachers, incumbent teachers, school managers, and the general public, through analysis of previous studies on convergence education models. Furthermore, the practical aspects of the proposed model were closely examined so that the proposed education model could be stably incorporated and utilized in the educational field. There are seven strategies for implementing the education model proposed in this paper, including research on textbooks, teaching and learning materials, activation of research results, maker space creation, global joint research, online education operation, developing living lab governance, and diversification of self-sustaining platforms for sustainable and practical education. In the future, validity verification through expert Delphi is required as a follow-up study.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.7
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• pp.1711-1717
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• 2009

Under the big rush of technology commercialization education in engineering school, this paper is prepared to craft a model of Engineering-based Technology Commercialization Education. First, this paper diagnose main issues relating to technology commercialization education in engineering school pegging by literature review. Second, this paper define an effective technology commercialization education system for engineering school. Third, this paper carries comparing study between an effective technology commercialization education system and technology commercialization education system currently introducing in Korea.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.194-196
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• 2017

본 논문은 최근 이슈가 되고있는 창업화성화에 따른 대학 및 민간 창업교육에 있어 기술창업 분야에 가치 기반 비즈니스 모델을 교육하는 방법론에 대해 제안한다. 가치이론은 심리학자인 Rokeach와 Schwartz, 컨설팅회사인 Roper에 의해 다양하게 연구되어왔으며 사용되어 왔다. 가치란 인간이 요구하는 것으로써 제품이나 서비스에서 제공되고 있다. 이러한 가치에 따라 비즈니스 모델을 교육하는 방법은 가치의 결정, 시나리오의 작성, WWH 테이블의 작성, 비즈니스 프로세스의 작성, 가치 맵의 작성 과정을 거쳐 기술창업의 비즈니스모델화가 되는 과정을 실습함으로써 이루어진다. 본 연구는 이러한 교육 프로세스를 정의하며, 특히 현재 기술창업교육이 활발하게 이루어지고 있는 공학대학에서 사용할 수 있는 방법론을 제공한다.

• 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.

• Journal of Practical Engineering Education
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• v.16 no.3_spc
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• pp.367-377
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• 2024

The purpose of this study is to develop a competency model that enhances the management capabilities of vocational training institutions and to identify the priorities of educational needs. After reviewing prior studies to tentatively establish a competency model, a training needs assessment was conducted in the field using this model. Data for the analysis were collected through a survey conducted among vocational training institutions. Following the needs assessment, a new management competency model for vocational training institutions was formulated, comprising six competencies and 26 competency dimensions, by eliminating the dimensions considered relatively less important. The competency model developed through this study is anticipated to be utilized in creating management education programs for directors of domestic vocational training institutions.

• Journal of Practical Engineering Education
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• v.16 no.4
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• pp.449-457
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• 2024

AIoT, the intelligent Internet of Things, refers to a technology that collects data measured by IoT devices and applies machine learning technology to create and utilize predictive models. Existing research on AIoT technology education focused on building an educational AIoT platform and teaching how to use it. However, there was a lack of case studies that taught the process of automatically creating and utilizing machine learning models from data measured by IoT devices. In this paper, we developed a case study using a machine learning model for AIoT technology education. The case developed in this paper consists of the following steps: data collection from AIoT devices, data preprocessing, automatic creation of machine learning models, calculation of accuracy for each model, determination of valid models, and data prediction using the valid models. In this paper, we considered that sensors in AIoT devices measure different ranges of values, and presented an example of data preprocessing accordingly. In addition, we developed a case where AIoT devices automatically determine what information they can predict by automatically generating several machine learning models and determining effective models with high accuracy among these models. By applying the developed cases, a variety of educational contents using AIoT, such as prediction-based object control using AIoT, can be developed.

• Journal of Practical Engineering Education
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• v.12 no.2
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• pp.339-351
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• 2020

In response to changes in Fourth Industrial Revolution in recent years, the field of education has focused on development of the human resources in the areas of artificial intelligence (AI: Artificial Intelligence) and industrial robot. Due to particular interest in these areas, the importance of developing integrated human resources equipped with artificial intelligence technology is emphasized in higher education and vocational competence development. In regards to rapid changing environment, this study created a program "Fostering personalized AI integrated human resource" and established an operational model correspond to latest personalized education trend. The established operational model was conducted twice using Delphi survey with experts in AI and innovative education in order to verify the suitability of program's basic structure, training process, and the sub-components of the operational strategy. The final training model was applied to the online vocational training platform (STEP) and a plan was proposed to establish a personalized training model to foster an AI integrated competent individual.

• Journal of Distribution Science
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• v.7 no.3
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• pp.25-48
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• 2009

This paper examines an augmented technology acceptance model, which includes perceived interaction as a mediator in the relationships between the technology acceptance model (perceived ease of use, perceived usefulness) and student satisfaction in online classes, and its impact on student satisfaction. Data has been collected from 842 undergraduate students in online universities. The data is analyzed by using factor analysis and structural equation modeling techniques. The results demonstrate that perceived ease of use, perceived usefulness, and perceived interaction serve as predictors for student satisfaction in online classes. Perceived usefulness has a positive relationship with perceived interaction while perceived ease of use has no effect on interaction.