• 공학교육연구
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• 제27권5호
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• pp.10-16
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• 2024

This paper examines the correlation between midterm and final evaluations using quantitative assessment data from an online liberal arts course titled "Software and Computational Thinking" over four semesters. The course was conducted through pre-recorded video lectures, and the same conditions were maintained throughout the four semesters. The study results showed that the course satisfaction rate in the final evaluations was lower than that in the midterm evaluations across all assessment items. This is likely because improvements based on student feedback from the midterm evaluations were not implemented within the same semester, and the rate of insincere responses increased in the final evaluations. Moreover, objective evaluation items such as "Adherence to Syllabus" and "Relevance of Lecture Content" showed a statistically significant correlation between midterm and final evaluations. However, for assessment items where subjective judgment, such as "Lecture Comprehension", is important, no significant consistency was observed between midterm and final evaluations over the four semesters. The evaluation of subjective assessment items is closely related to the perceived difficulty of the lectures by the students, and in engineering-related courses, this connection is even stronger. Therefore, in the case of liberal arts courses in engineering, where students from various majors are enrolled, it is natural that the perceived difficulty of the lectures differs among students as the course progresses, and that the change in perceived difficulty between the midterm and final evaluations also varies. As a result, it is understandable that there is a lack of consistency in subjective evaluation items between the midterm and final evaluations. These findings suggest that to enhance student satisfaction and maintain consistency in course evaluations throughout the semester in engineering liberal arts courses, it is necessary to design and operate the lectures with differentiated practical content tailored to the academic backgrounds of the students.

• 디지털산업정보학회논문지
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• 제11권1호
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• pp.135-144
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• 2015

This study aims to propose an evaluation model that enables cooperative learning using e-Learning system. Even if the teacher and the student are not in the same place at the same time, the team project deliverable submitted by the student to the online system can be viewed by the teacher, enabling the teacher to assess the student not only based on the project but also in many other aspects. The proposed e-learning cooperative learning model allows the development of assessment factors, using such factors in assessment of the student's activities which are performed through the e-learning system, and the feedback of the results to the student so that the student is further motivated for learning. The teacher performs a comprehensive assessment of such factors, which is considered in conjunction with the student's assessment. Implementing the cooperative learning model proposed in this study in various e-learning systems such as Moodle is expected to motivate the student for learning, produces better cooperative learning results, provides greater convenience of assessment to the teacher, and improves fairness of assessment by showing the student's activities in real time.

• 한국게임학회 논문지
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• 제9권1호
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• pp.63-74
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• 2009

본 논문은 게임성 평가 모델 설계를 기반으로 온라인 게임성 평가 시스템 설계 및 구현을 중점적으로 연구하였다. 온라인 게임성 평가 시스템이란 평가 요소를 정의한 모델 설계를 통하여 온라인상에서 게임을 실시간으로 평가하는 시스템을 의미한다. 게임성 평가 시스템은 사용성 평가(Heuristic Evaluation) 기법을 활용하여 기술적 요소, 관리적 요소, 사회적 요소, 경쟁력 요소의 4부분으로 평가를 실시하였다. 게임성 평가의 객관성과 타당성 검증을 위하여 초급자, 중급자, 전문가 세 분류를 통하여 평가를 실시하여 신뢰도를 높였으며, 게임성 평가 포럼을 개최하여 다양한 계층의 의견을 수렴하였다.

• Asian Journal of Business Environment
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• 제5권4호
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• pp.37-46
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• 2015

Purpose - The present study examines interrelationships among antecedent factors defining consumer behavior in selecting online shopping websites. Research design, data, and methodology - The study identified factors from existing literature and used Interpretive Structural Modeling (ISM) to propose a conceptual approach to explain consumer website selection behavior. Through extensive discussions among industry and academia experts, qualitative assessment of the relationship between various factors was determined. Results - According to the model, eight congregating factors do not converge directly for website selection, rather, they operate following a hierarchy of influence. The ISM and MICMAC analysis reveal that information on a website and website aesthetics play key roles in influencing website selection. However, convenience and the value proposition also play very significant roles. Conclusions - The study's findings can help the e-commerce industry, especially online retailers. The findings can be used to enhance e-retailer ability to attract, communicate, engage, achieve, monitor, and evaluate web traffic and design appropriate strategies. The study's prime contribution is the application of Interpretative Structural Modeling (ISM) to the field of website selection.

• 의학교육논단
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• 제23권3호
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• pp.154-159
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• 2021

The coronavirus disease 2019 (COVID-19) pandemic has profoundly impacted all aspects of undergraduate, postgraduate, and continuing medical education. Only the focus of medical education-care for patients and communities-has remained an integral part of all of the above sectors. Several challenges have been experienced by learners and educators as the education and training of future doctors has continued in the midst of this crisis, including the cancellation of face-to-face classes and training, reduced patient encounter opportunities, fairness issues in online assessments, disruption of patient interview-based exams, reflections on the role of doctors in society, and mental health-related problems linked to isolation and concerns about infection. In response to these disruptions, educators and institutions have rapidly deployed educational innovations. Schools have adopted educational strategies to overcome these challenges by implementing novel education delivery methods in an online format, providing clinical experiences through simulation or telehealth methods, introducing online assessment tools with formative purposes, encouraging learners' involvement in nonclinical activities such as community service, and making available resources and programs to sustain learners' mental health and wellness. During the COVID-19 pandemic, educators and institutions have faced drastic changes in medical education worldwide. At the same time, the quantitative expansion of online education has caused other problems, such as the lack of human collaboration. The long-term effects of the COVID-19 pandemic on medical education need to be studied further.

• 디지털융복합연구
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• 제20권2호
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• pp.289-297
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• 2022

이 연구는 2020학년도 전 학기 비대면 교육 이후 온라인수업을 경험한 치과대학생의 전반적인 인식을 조사하는데 목적이 있다. 연구방법은 A대학교 치과대학생 161명을 대상으로 온라인 설문조사를 실시하였으며, 설문문항은 비대면 수업 만족도, 학습시스템, 교수요인, 평가방법과 온라인수업 요구조사이다. 분석방법은 빈도분석, 상관관계분석, 다중회귀분석을 사용하였다. 설문 분석 결과 치과대학생이 경험한 비대면 교육만족도는 4.2이상이며, 세부항목별로 보면, 출결처리 방식의 적절성, 녹화영상 강의에 대한 만족, 수업성적 평가 방식에 만족 순으로 나타났다. 비대면 교육만족도에 영향을 미치는 요인으로는 학습시스템과 평가방법이 통계적으로 유의하였다. 이 연구는 A대학의 비대면 교육 운영 상황만을 연구한 것으로 모든 대학에 일반화 할 수 없지만, 대면 및 비대면 수업의 양립을 위한 교육과정 설계 및 지원 방안을 마련하기 위한 기초자료로 활용할 수 있을 것이다.

• Journal of Electrical Engineering and Technology
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• 제11권6호
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• pp.1527-1534
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• 2016

Online voltage stability monitoring using real-time measurements is one of the most important tasks in a smart grid system to maintain the grid stability. Loading margin is a good indicator for assessing the voltage stability level. This paper presents an Extreme Learning Machine (ELM) approach for estimation of voltage stability level under credible contingencies using real-time measurements from Phasor Measurement Units (PMUs). PMUs enable a much higher data sampling rate and provide synchronized measurements of real-time phasors of voltages and currents. Depth First (DF) algorithm is used for optimally placing the PMUs. To make the ELM approach applicable for a large scale power system problem, Mutual information (MI)-based feature selection is proposed to achieve the dimensionality reduction. MI-based feature selection reduces the number of network input features which reduces the network training time and improves the generalization capability. Voltage magnitudes and phase angles received from PMUs are fed as inputs to the ELM model. IEEE 30-bus test system is considered for demonstrating the effectiveness of the proposed methodology for estimating the voltage stability level under various loading conditions considering single line contingencies. Simulation results validate the suitability of the technique for fast and accurate online voltage stability assessment using PMU data.

• International journal of advanced smart convergence
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• 제5권4호
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• pp.48-53
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• 2016

In this paper, all elements used in integrated infrastructure for job competency assessments of NCS (National Competency Standards) will be merged into assessment system using multiple devices(ASMD). NCS is a systematic approach on required abilities (knowledge, technical expertise, attitude) to process the tasks in the fields by industry. Competiveness of ASMD design is that no limitation of time and space using personal devices like PC, laptop, smartphone, and tablet, while seeing screen, hearing, touching, speaking, and writing. Question type can be limitless to express the situation. To lead technologies and market for domestic and oversea assessment system, supporting on multiple devices with connectivity that will eliminate limitation of time and space is the key feature for design competitiveness. Design of integrated assessment system proposed in this paper can be applied to NCS, fundamental competency evaluation, online test, job aptitude test, and foreign language test which involve listening, reading, writing, and speaking. Compared with existing evaluation method, reduction of investment and operating cost will be greater. Along with development of ICT technologies, the next generation of integrated assessment system will be quickly changed to ASMD, which already involves connected service between internet and smart devices.

• 한국콘텐츠학회논문지
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• 제21권6호
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• pp.350-358
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• 2021

본 연구는 코로나19 상황에서 발달 장애 학생의 온라인 학습권 실태 분석과 증진 방안 제시를 목적으로 한다. 이를 위해 발달 장애 학생 자녀를 둔 학부모 충북지역 200인을 대상으로 한 설문조사 자료와 학부모 6인이 참여한 FGI 자료를 함께 사용하는 혼합방법론을 적용하였다. 주요 결과로, 가장 시급한 학습보조 제도는 보조인력 지원으로 확인되었고, 재택근무 등으로 자녀를 지원할 수 없는 응답자가 50.5%로 나타났다. FGI 자료 분석결과, '코로나19 온라인 학습 실태', '양육환경을 고려한 비대면 학습환경 개선'의 2가지 범주와 '화상수업 등 교수 방법 다양화', '필요 학습 자원 지원', '상황에 맞는 평가제도 도입', '돌봄 지원 강화', '건강 지원 확대'의 5가지 주제가 도출되었다. 이러한 연구 결과를 토대로 발달 장애 학생 온라인 수업 관련 법적 근거마련 검토, 학습지원 인력 파견 확대, 온라인 학습 환경 증진 대안 마련 등을 제안하였다.

• 한국응용과학기술학회지
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• 제41권2호
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• pp.305-317
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• 2024

본 연구는 온라인 플랫폼을 활용한 건강사정 학습 프로그램이 간호 대학생의 문제해결과정, 비판적 사고 성향, 수업참여도 및 수업몰입도에 미치는 효과를 알아보기 위한 단일집단 사전사후설계(one-group pretest-posttest design)를 적용한 원시실험연구(pre-experimental research)이다. 연구 대상자는 C북도 G군 소재 J대학교 건강사정 및 실습 교과목을 수강하는 간호학과 2학년 학생 52명을 대상으로 온라인 플랫폼을 활용한 건강사정 학습 프로그램 참여 전·후 자료를 수집하였다. 분석한 결과, 문제해결과정(t=-2.569, p=.013), 비판적 사고 성향(t=-5.363, p<.001), 수업참여도(t=-4.429, p<.001), 수업몰입도(t=-3.747, p<.001)가 프로그램 참여 전·후 통계적으로 유의하게 향상된 것으로 나타났다. 따라서 건강사정 수업 시 간호 대학생들의 문제해결과정, 비판적 사고 성향, 수업참여도, 수업몰입도 향상을 위해서 온라인 플랫폼을 활용한 학습 프로그램을 활용할 수 있을 것으로 사료된다.