• Journal of Digital Convergence
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• v.14 no.11
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• pp.101-106
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• 2016

A number of non-structured data associated with lectures in the field of university education have been generated and it is an important consideration of the students's written comments lecture evaluation. The purpose of this study is to find student interaction factors associated with the student evaluation of teaching at universities, and to provide some insights into improving the student evaluation program based on the results. So, this study consists of three steps that create interaction score, collect student's written comments satisfaction, and analyze an individual professor score. There are a number of limitations to this study. The limitation is that the study was conducted on a narrow sample of the overall student population.

• Communications for Statistical Applications and Methods
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• v.18 no.1
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• pp.35-45
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• 2011

Some researchers insist that many students respond to the course evaluation surveys without sincerity and even without reading the questions. To analyze the pattern of student responses, the results of course evaluations for five semesters at Jeonbuk National University are reviewed. In mandatory course evaluations, 20% of the students marked the same option numbers to all questions regarding their lectures. In addition, consistent responses were over 50%. These results show that the university administration should reform the current course evaluation system in all respects.

• Journal of the Korean Data and Information Science Society
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• v.21 no.3
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• pp.513-521
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• 2010

Most of universities have carried out course evaluation to apply the performance appraisal for professor. But, course evaluation depends on characteristics of each class such as class size, type of lecture, evaluator's grade and so on. As the results, such characteristics of each class lead to serious bias which makes lecturers distrust the course evaluation results. Hence, we propose a equating method for the course evaluation by regression analysis which use stepwise variable selection. And we compare proposed method with the other method by Cho et al. (2009) with respect to efficiencies. Also we give the example to which the method is applied.

• Journal of the Korean Data and Information Science Society
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• v.23 no.1
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• pp.143-150
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• 2012

Based on the student evaluation of teaching from 'A' university where students are graded by relative performance, we conducted a research on the effect of course characteristics in student evaluation of teaching. The results show that the score of student evaluation of teaching seems to be higher for those classes with more proportion of male students, higher grades, and smaller class sizes. From these results, we suggest an evaluation model which can control the effect of grade and sex. Also we illustrate the performance of the evaluation model by using a case study.

• The Korean Journal of Applied Statistics
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• v.24 no.2
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• pp.435-443
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• 2011

On March 2011, an annual salary plan was applied to new faculty members in National Colleges and Universities. In 2015, all tenured faculty members will receive salaries based on annual performance evaluations. The efforts and accomplishments of faculty are normally assessed according to a standard formula of 40% teaching, 40% research and 20% service. In almost all colleges and universities, student course evaluations may be considered as the only measure of the perceived quality of the courses offered by the faculty member. The mandatory course evaluations are becoming prevalent in Korea. The results of course evaluations do not reflect the fairness and the appropriateness of the quality of the course taught by the faculty member and should not be considered under the teaching evaluation criteria.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.5
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• pp.1233-1238
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• 2013

The course evaluation is used in faculty evaluation model even the grade of course evaluation has a big gap in absolute value with the characteristics of subjects. It is important to obtain the reliability of course evaluation because the result of course evaluation is fed to instructor to assure the quality of instruction. The purpose of this paper are to analyze the relation of attendance rate and course evaluation to improve the reliability of course evaluation.

• Communications of Mathematical Education
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• v.24 no.4
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• pp.909-922
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• 2010

This paper deals with disparities in course evaluation between general and major courses of mathematics education. We provide concrete evidences which verify the mismanagement of the evaluation system and can be an impetus to a more rational one. We indicate the direction to which professors of mathematics education should head. Also those statistics obtained from the author's teaching of mathematics education and related subjects for twelve years are provided for the fact-finding of and improving the erroneous evaluation system.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.255-265
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• 2022

We compared and analyzed the factors affecting the lecture evaluation of IT subjects, which are mandatory for all students of H University. The purpose of this study is to determine whether lecture satisfaction has a significant correlation with academic achievement, attendance rate, and categories of courses. In this study, we check whether the lecture satisfaction of IT liberal arts subjects that require a lot of computer-based practice differs from that of other liberal arts subjects. We used the 2,149 evaluation data of 12 lectures submitted by 2,322 students in the first and second semesters of year 2019 at University H. As for the lecture evaluation results, in addition to the evaluation scores of the multiple choice questions, the subjective questions were also quantified by classifying the statements submitted by the students into positive and negative types to make the results of the lecture evaluation objective. Our research results show that student group who have the higher attendance rates and academic achievements have higher level of lecture satisfaction and they also use more positive words than negative words in subjective evaluation questions. Students with the lower score use the more negative words, but the ratio between positive and negative words does not differ between groups. Higher attendance rates groups in the basic programming courses and software applications courses have higher lecture satisfaction ratio. But in the intermediate programming courses, the higher attendances rate and the lecture satisfaction do not have any significant relationship. Also students in the intermediate programming courses use more negative words than those in the basic programming courses.

• Journal of the Korean Society of Radiology
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• v.15 no.5
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• pp.675-681
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• 2021

Recently, the Ministry of Education stipulates in the distance class operation regulations that student lecture evaluations for distance learning subjects should be conducted at least twice per semester and the results should be disclosed to students. Therefore, the lecture evaluation of D college was compared with the first semester of 2020 and the first semester of 2021. As for the multiple-choice evaluation result of the distance learning mid-course evaluation, the overall average of the mid-course evaluation of the distance class in the first semester of 2020 increased from 4.1819 to 4.4000 in the mid-course evaluation in the first semester of 2021.In the case of the first semester of 2020, due to Corona 19, all non-face-to-face classes were held, but in the first semester of 2021, face-to-face classes increased. The overall satisfaction level rose from 4.18 points in the first semester of 2020 to 4.39 points in the first semester of 2021. The screen composition, sound and picture quality, playback time, face appearance, lecture material provision, and frequency of use of the top 3% and bottom 3% also increased. Despite the changes caused by the LMS replacement, which was a concern, student attendance, assignments, and test submission rates also increased compared to the previous year. The null hypothesis that 'the difference between the two scores is the same' is the null hypothesis because the probability of significance is 0.000 and less than 0.05 in the case of the best 3% of the test result of the test result of the mid-course evaluation of distance classes in the first semester of 2020 and the evaluation of the intermediate lectures in the first semester of 2021. As this was rejected, it can be seen that the best score for the 2021 school year has significantly increased compared to the first semester of 2020. Also, in the case of Worst 3% or less, the significance probability is 0.000, which is less than 0.05, so the null hypothesis that 'the difference between the two scores is the same' was rejected, indicating that the Worst score for the 2021 school year was significantly higher than that for the first semester of 2020.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.155-156
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• 2016

대학 교육현장에서 수많은 비정형화된 데이터가 생산되고 있는데 그중 관심 있게 볼 부분은 학생들의 서술적 강의평가이며, 본 논문에서는 대학에서 시행하는 서술적 강의평가를 활용하여 컴퓨터를 활용하는 수업에서 학생들이 원하는 상호작용을 분석하였다. 분석을 위해 빅데이터에서 활용하는 텍스트 마이닝 기법을 활용하였으며 분석결과 컴퓨터관련 관련 수업에서 필요한 학습자 상호작용은 주로 흥미, 기회, 열정, 재미, 참여, 유익, 친절 등으로 나타났다. 현재 5점 척도로 보여 지는 강의평가 점수는 진정 학습자가 원하는 것이 무엇인지 파악이 어렵기 때문에 관련 연구가 지속적으로 필요하다. 또한 향후 컴퓨터를 활용하지 않은 수업과 비교함으로써 대학 컴퓨터 관련 수업의 특징을 구분할 필요가 있을 것으로 여겨진다.