• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.339-352
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• 2021

This study aims to explore the relationship between entrepreneurial role models (ERM) and entrepreneurship education (EE) on individual entrepreneurial orientation (EO) and its consequences for entrepreneurial intention (EI). Data is obtained through a survey method on 255 management and business university students who had completed the entrepreneurship education program. To evaluate the research model, the data is processed using PLS-SEM. The results of this study indicate that the existence of entrepreneurial role models and entrepreneurial education programs for students affects the components of individual entrepreneurial orientation, namely individual innovativeness, individual proactiveness, and individual risk-taker. However, ERMs do not have a direct effect on EI. The main finding of this research appears on the influence of individual EO on EI, which indicates that only individual innovativeness impacts entrepreneurial intention. Meanwhile, personal proactiveness and risk-takers are proven to have no impact on EI. This study succeeded in filling the research gap, namely, examining the influence of ERMs on each of the components forming an individual entrepreneurial orientation (IEO) and its EI. This research model also provides a comprehensive research model on the influence of pre-entrepreneurial exposure on IEO and its consequences on EI.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제26권4호
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• pp.333-349
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• 2023

Recently, AI has become a crucial tool in mathematics education due to advances in machine learning and deep learning. Considering the importance of AI, examining teachers' beliefs about AI in mathematics education (AIME) is crucial, as these beliefs affect their instruction and student learning experiences. The present study developed a scale to measure preservice teachers' (PST) beliefs about AIME through factor analysis and rigorous reliability and validity analyses. The study analyzed 202 PST's data and developed a scale comprising three factors and 11 items. The first factor gauges PSTs' beliefs regarding their roles in using AI for mathematics education (4 items), the second factor assesses PSTs' beliefs about using AI for mathematics teaching (3 items), and the third factor explores PSTs' beliefs about AI for mathematics learning (4 items). Moreover, the outcomes of confirmatory factor analysis affirm that the three-factor model outperforms other models (a one-factor or a two-factor model). These findings are in line with previous scales examining mathematics teacher beliefs, reinforcing the notion that such beliefs are multifaceted and developed through diverse experiences. Descriptive analysis reveals that overall PSTs exhibit positive beliefs about AIME. However, they show relatively lower levels of beliefs about their roles in using AI for mathematics education. Practical and theoretical implications are discussed.

• 컴퓨터교육학회논문지
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• 제16권2호
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• pp.29-37
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• 2013

창의성이 강조되는 교육환경에서 사고의 범위를 넓힐 수 있는 그룹별 토론이나 창의성을 개발하기 위한 컴퓨터활용 수업 모형이 요구되고 있다. 따라서 본 논문에서는 그룹별 컴퓨터활용 교육에서 발생하는 문제점들을 사전 조사한 후 창의성을 고려한 웹 기반 수업 모형을 제안하였다. 수업 모형의 이론적 배경으로는 PBL을 기반으로 하였으며 웹 마인드 맵을 토론과 자료공유를 위한 도구로 활용하여 수업의 효율성과 함께 집단의 창의성도 함께 고려하였다. 제안한 수업 모형을 프레젠테이션 제작 과목을 신청한 학생들에게 적용한 결과 의사소통이나 자료공유, 역할분담, 기여도의 차이, 과다 시간 소요 등에 대한 불만이 줄어드는 확률적으로 유의미한 결과가 나타났다.

• 한국환경과학회지
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• 제15권8호
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• pp.701-718
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• 2006

The average ratio of the daily UV-B to total solar (75) irradiance at Busan (35.23$^{\circ}$N, 129.07$^{\circ}$E) in Korea is found as 0.11%. There is also a high exponential relationship between hourly UV-B and total solar irradiance: UV-B=exp (a$\times$(75-b))(R$^2$=0.93). The daily variation of total ozone is compared with the UV-B irradiance at Pohang (36.03$^{\circ}$N, 129.40$^{\circ}$E) in Korea using the Total Ozone Mapping Spectrometer (TOMS) data during the period of May to July in 2005. The total ozone (TO) has been maintained to a decreasing trend since 1979, which leading to a negative correlation with the ground-level UV-B irradiance doting the given period of cloudless day: UV-B=239.23-0.056 TO (R$^2$=0.52). The statistical predictions of daily total ozone are analyzed by using the data of the Brewer spectrophotometer and TOMS in East Asia including the Korean peninsula. The long-term monthly averages of total ozone using the multiplicative seasonal AutoRegressive Integrated Moving Average (ARIMA) model are used to predict the hourly mean UV-B irradiance by interpolating the daily mean total ozone far the predicting period. We also can predict the next day's total ozone by using regression models based on the present day's total ozone by TOMS and the next day's predicted maximum air temperature by the Meteorological Mesoscale Model 5 (MM5). These predicted and observed total ozone amounts are used to input data of the parameterization model (PM) of hourly UV-B irradiance. The PM of UV-B irradiance is based on the main parameters such as cloudiness, solar zenith angle, total ozone, opacity of aerosols, altitude, and surface albedo. The input data for the model requires daily total ozone, hourly amount and type of cloud, visibility and air pressure. To simplify cloud effects in the model, the constant cloud transmittance are used. For example, the correlation coefficient of the PM using these cloud transmissivities is shown high in more than 0.91 for cloudy days in Busan, and the relative mean bias error (RMBE) and the relative root mean square error (RRMSE) are less than 21% and 27%, respectively. In this study, the daily variations of calculated and predicted UV-B irradiance are presented in high correlation coefficients of more than 0.86 at each monitoring site of the Korean peninsula as well as East Asia. The RMBE is within 10% of the mean measured hourly irradiance, and the RRMSE is within 15% for hourly irradiance, respectively. Although errors are present in cloud amounts and total ozone, the results are still acceptable.

• 실천공학교육논문지
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• 제16권4호
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• pp.409-414
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• 2024

본 논문은 인공지능(AI)을 활용하여 장애인 직업 훈련 평가 데이터를 분석하고, 다양한 머신러닝 알고리즘을 통해 최적의 예측 모델을 선정하는 연구를 수행한다. 훈련생의 성별, 나이, 학력, 장애 유형, 기초 학습 능력 등의 데이터를 분석하여 취업 가능성이 높은 직종을 예측하고, 이를 바탕으로 맞춤형 훈련 프로그램을 설계하여 훈련 효율성과 취업 성공률을 높이는 것을 목표로 한다.

• 수산해양교육연구
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• 제12권2호
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• pp.176-190
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• 2000

CATV 네트워크의 여유 주파수 대역을 이용한 데이터 통신망의 실용화로 보다 양질의 통신망 구축이 가능하게 되었으며, 이러한 환경을 이용하여 중등학교에서는 멀티미디어 원격교육에 대한 다양한 방안을 찾고 있다 일반적으로 CATV 네트워크의 전송속도는 256Kbps~100Mbps로서 멀티미디어 콘텐츠는 물론 대용량 멀티미디어 데이터를 이용한 원격학습과 양질의 실시간 원격교육까지 가능하다. 본 논문에서는 CATV 데이터망을 이용한 멀티미디어 데이터의 전송능력을 분석하여 보다 양질의 멀티미디어 데이터를 전송함으로서 효율적인 원격교육 방법의 새로운 모델을 설계하고, 구체적인 적용 방법을 제시 하고자 한다.

• 한국수학교육학회지시리즈A:수학교육
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• 제61권2호
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• pp.257-271
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• 2022

본 연구는 학습분석학을 기반으로 블렌디드 수학 수업에서 발생하는 학습 데이터를 활용하여 수학 학업성취도를 예측하는 요인이 무엇인지 탐색하고, 그 결과를 활용하여 수학 학업성취도를 예측하는 인공지능 모델을 개발하고자 하였다. 초등학교 5~6학년 학생 205명의 수학 학습 성향, LMS 데이터, 평가 결과를 수집하여 랜덤포레스트 모델을 분석하였다. 수학 학습성향에는 수학학습 자신감, 수학불안, 수학교과 흥미, 수학학습 자기관리, 수학학습 전략이 포함되었다. LMS 데이터로 e학습터의 진도율, 학습 횟수, 학습 시간을 수집하였다. 평가는 진단평가와 각 단원의 단원평가 결과를 사용하였다. 분석 결과 수학 학습성향 중 수학 학습 전략이 저성취 학생을 예측에 가장 중요한 요인으로 나타났다. LMS 학습 데이터는 예측에 미미한 영향을 주었다. 본 연구는 인공지능 모델이 블렌디드 수학 수업에서 발생하는 학습 데이터로 저성취 학생을 예측할 수 있음을 시사한다. 또한 분석 결과를 통해 교사가 학생을 평가하고 피드백하는 데 구체적인 정보를 제공하여 교사의 평가 활동에 보조적인 역할을 할 수 있을 것으로 기대한다.

• Journal of information and communication convergence engineering
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• 제18권4호
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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.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅲ
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• pp.1367-1370
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• 2003

This paper has been studied Design and Implementation Using the ICT(Information & Communication Technology) Education System on the Web. And then this paper has designed a teaching and learning model for Using the ICT Education System on the Web of management substance in commercial high school, verified and implemented them. After this study, this web-based multimedia data with voice instruction and humanity education data in student's module to develop the local natural environments is more helpful to occur the students' motivations and interests and get higher achievements of study than teach only with the textbook.

• International Journal of Advanced Culture Technology
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• 제11권4호
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• pp.169-176
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• 2023

This study aims to assess the current status of career education at C University and to gather foundational data for developing a step-by-step career education curriculum and an integrated roadmap for curriculum and extracurricular career education. This research involves a comparative analysis of C University's enrolled students and external university students through a survey using the [University Career Exploration Model]. Data collection took place over one month in October 2023, and statistical analysis was conducted using the SPSS Statistics 25.0 program. The survey results enabled a comparative analysis of the career exploration processes and levels between enrolled students at C University and external university students. The proportion of enrolled students at C University responding positively to the career exploration process and level was high. Through this study, a better understanding of the career exploration processes and levels of university students was achieved. It is deemed necessary to conduct systematic research for continuous, tailored integration of curriculum and extracurricular career education at the university level.