• Journal of Information Technology Applications and Management
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• v.13 no.3
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• pp.89-105
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• 2006

Information revolution shifted the meaning of education from traditional face-to-face education to technology integrated virtual one, namely cyber education. A new way of education, however, has not constituted its methodological standards either performance measurement scheme. The study probes the critical factors that influence students' achievement and satisfaction especially in the cyber education environment. Using hierarchical regression, important factors for students' achievement and satisfaction in the management education environment are presented. The results indicate that students' individual characteristics are relatively less influential for cyber education success. Rather, institutional supports including provision of in-depth interaction among students and with the instructor are more critical. We can infer that cyber education essentially requires three factors: in-depth interactions with instructor collaborative environment among peer students technical support from the institution.

• The Korean Journal of Community Living Science
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• v.14 no.1
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• pp.97-105
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• 2003

This study was to examine the contents of sexuality education in the 6th Home Economics 1 and in the 7th Technology.Home Economics 1 of Middle school curriculum by comparing those two text books. The result of the study was that: 1) the 7th TechnologyㆍHome Economics 1 has more sexuality education contents than in the 6th; 2) the 7th TechnologyㆍHome Economics 1 used much more vivid and realistic pictures to catch students' attention and bring educational effect; 3) the 7th Technology \ulcornerHome Economics 1 included more detailed information for the young students such as pregnancy, birth control, masturbation, artificial abortion, and prevention of sexual violence than the 6th; 4) although the 7th TechnologyㆍHome Economics 1 showed more developed contents for the sexuality education, it had still only theory based information that lost students' attention on this important issue.

• Journal of information and communication convergence engineering
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• v.18 no.4
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• pp.216-221
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• 2020

Artificial intelligence (AI), an essential skill of the Fourth Industrial Revolution, is being actively taught in higher education; however, AI education is only in the preparatory stage in elementary, middle, and high schools. Investigating various newspaper articles related to AI education to date can aid in basic data collection, which is an important process in the preparatory stage. Accordingly, 13,378 newspaper articles were collected from a total of 21 newspapers, and five topics were extracted using the latent Dirichlet allocation (LDA)-based topic model along with frequency analysis. Newspaper articles from the early 2000s expanded to technologies related to the Fourth Industrial Revolution. Accordingly, education in AI fields should be linked with education in AI-based technology. In addition, efforts should be made to secure the continuity and sequence of AI education in cooperation with related higher institutions and companies.

• Educational Technology International
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• v.24 no.2
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• pp.143-168
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• 2023

This study aims to analyze the perceptions and educational needs of pre-service teachers for the use of Artificial Intelligence (AI) in education. To this end, we collected survey data from 25 undergraduate students who were enrolled in a teacher education college in Seoul. The purpose of the survey was to measure the importance and current performance for instructional AI use based on the technological, pedagogical, and content knowledge (TPACK) framework, and to explore the priority of educational needs using Borich's needs analysis and the Locus for Focus model. The results of the study confirmed that Ethics and TPK competencies are prioritized. Additionally, the results indicated a high demand for practical knowledge that can be implemented in the practice of education. Based on the results, it is necessary to develop a teacher education program that focuses on ethical aspects and teaching strategy competencies in AI-based education.

• Journal of Korean Home Economics Education Association
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• v.9 no.1
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• pp.95-110
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• 1997

The purpose of this study are (1) to analysis the Paradigm’s changes in Educational Technology, (2) to examine its practice in Home Economics Education (H.E.E.), especially the researches about CAI in H.E.E. and (3) to propose the ideal practice of Educational Technology in H.E.E. As results, the paradigms of Educational Technology have been changed from media-centered to human-centered, and from objectivism(behaviorism and cognitivism) to constructivism. Related on Educational Technology, there have been six conceptual distortions or confusions in H.E.E. The Analyzed seven previous works on CAI in H.E.E. show the traditions of the Objectivism. And suggestions for ideal practice of Educational Technology in H.E.E. are presented.

• Korean Medical Education Review
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• v.17 no.3
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• pp.110-121
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• 2015

Competency-based medical education (CBME) is an outcome-oriented curriculum model for medical education that organizes learning activities and assessment methods according to defined competencies as the learning outcomes of a given curriculum. CBME emerged to address the accountability of medical education in response to growing concerns about the patient safety in North America in the 1970s, and the number of medical schools adopting CBME has dramatically increased since 1990. In Korea, CBME has been under consideration as an alternative curriculum model to reform medical education since 2006. The purpose of this paper is three-fold: (1) to review the literature on CBME to identify the challenges and benefits reported in North America, (2) to summarize the process and experiences of planning and implementing CBME at Inje University College of Medicine, and finally (3) to provide recommendations for Korean medical schools to be better prepared for the successful adoption of CBME. In conclusion, one of the key factors for successful CBME implementation in Korea is how well an individual school can modify the current curriculum and rearrange the existing resources in a way that will enhance students' competencies while maximizing the strengths of the school's existing curriculum.

• Journal of information and communication convergence engineering
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• v.21 no.4
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• pp.346-350
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• 2023

Trajectory prediction is an essential element for driving autonomous vehicles, and various trajectory prediction models have emerged with the development of deep learning technology. Convolutional neural network (CNN) is the most commonly used neural network architecture for extracting the features of visual images, and the latest models exhibit high performances. This study was conducted to identify an efficient CNN backbone model among the components of deep learning models for trajectory prediction. We changed the existing CNN backbone network of multiple-trajectory prediction models used as feature extractors to various state-of-the-art CNN models. The experiment was conducted using nuScenes, which is a dataset used for the development of autonomous vehicles. The results of each model were compared using frequently used evaluation metrics for trajectory prediction. Analyzing the impact of the backbone can improve the performance of the trajectory prediction task. Investigating the influence of the backbone on multiple deep learning models can be a future challenge.

• International Journal of Contents
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• v.14 no.3
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• pp.69-74
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• 2018

A new breed of universities equipped with student-centered education programs and advanced digital technologies is changing the face of higher education. "Flipped learning" is heralded as a new model of education, yet its effect is underexplored. The purpose of this study is to provide evaluation criteria to assess and understand the merit of student-centered education programs and apply them to actual cases. Discussion on the nature of knowledge, its production mechanism and system, and possible contribution of digital technology to user-centered programs are discussed to produce five key criteria; initiative of students, interaction in class, interaction in field, customization of courses, and automated personal service. They are applied to evaluation of Minerva and Ecole 42.

• Korean Medical Education Review
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• v.16 no.1
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• pp.16-24
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• 2014

The development of information technology (IT) has led to changes in medical education. IT has been used for e-learning and e-teaching, e-assessment, e-logistics, and e-administration. Pusan National University School of Medicine has developed its own educational information system using IT to support students' learning and assessment and to manage curricular activities. Based on our experience, we propose six suggestions for designing new software, specifically regarding simplifying the design for users, communication with the programmer, a rapid cycle from design to implementation, orientation support for users, backup and security support, and obtaining patents. Collaborating with the Department of Medical Informatics within the School of Medicine has advantages, and an alliance among medical schools can simplify the development of software. In any case, curricular innovation should precede the introduction of technology because all technologies should support curricular goals.

• Journal of The Korean Association of Information Education
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• v.23 no.1
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• pp.97-106
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• 2019

Based on previous studies such as TPACK, digital literacy, and maker education, this study searched the Skills for Using Technologies required for elementary school pre - service teachers and classified them into 13 sub - factors in 5 domains. We designed and applied a project-based maker education instructional model to improve Skills for Using Technologies for first grade students at G Education University taking "technology utilization and smart life". Through interviews after the lecture and after the lecture, the ability of university students to utilize the technology was examined and the acceptance attitude was improved. We also modified the project-based maker education model based on interviews, observation logs, and mutual evaluations of college students.