• Journal of the Korean Data and Information Science Society
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• v.15 no.1
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• pp.183-191
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• 2004

This paper shows that there are some extra-factors on the evaluation of lecture by students. The extra-factors are sex, day and nighttime, academic year, size of lecture, and grades. And this paper analysis the proportion of the student which put the same mark on all items(same marked proportion).

• Proceedings of the Korea Water Resources Association Conference
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• 2005.09a
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• pp.428-429
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• 2005

• Communications of Mathematical Education
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• v.31 no.4
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• pp.409-432
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• 2017

The purpose of this study is to find out the importance of process - based evaluation and to find a way to set up and operate the formative assessment which is getting attention. As one of the ways, we investigated the effect of formative assessment through student's interactive feedback on mathematics achievement and attitude of fourth grade students in elementary school. In order to conduct the study, two groups of homogeneous grades were selected. In the experimental group, formative assessment was conducted through student's interactive feedback. In comparison group, formative assessment was conducted through self - confirmation feedback. Statistical analysis of the results after the experiment showed that the formative assessment through student's interactive feedback was found to have a positive effect on the improvement of mathematics achievement. In addition, the formative assessment through student's interactive feedback positively changed the mathematics attitude. Therefore, this suggests that applicability of formative assessment through student's interactive feedback in elementary school classroom instruction, as well as implications for follow - up study for effective implementation of formative assessment.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.05a
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• pp.266-273
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• 2005

Data mining techniques enable us to generate useful information for decision support from the data sources which are generated and accumulated in the process of routine organizational management activities. College administration system is a typical example that produces a warehouse of student records as each and every student enters a college and undertakes the curricular and extracurricular activities. So far, these data have been utilized to a very limited student service purposes, such as issuance of transcripts, graduation evaluation, GPA calculation, etc. In this paper, we utilize Holland career search test results, TOEIC score, course work list, and GPA score as the input for data mining and generation the student advisory information. Factor analysis, AHP(Analytic Hierarchy Process), artificial neural net, and CART(Classification And Regression Tree) techniques are deployed in the data mining process. Since these data mining techniques are very powerful in processing and discovering useful knowledge and information from large scale student databases, we can expect a highly sophisticated student advisory knowledge and services which may not be obtained with the human student advice experts.

• Korean Medical Education Review
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• v.24 no.2
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• pp.128-140
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• 2022

The purpose of this study was to redesign a problem-based learning (PBL) curriculum and compare the differences between the previous and redesigned PBL based on the results of course satisfaction and student assessments. The PBL was redesigned using curriculum design guidelines (including revisions of curriculum objectives, learning components, learning environments, and assessment methods) that were developed based on previous studies and evaluation results. A comparative study was employed using course satisfaction surveys from the previous and redesigned curricula, and a total of 45 students participated. We also compared student assessment results from concept mapping, learning issue reports, modified essay questions, and reflection journals. We identified four key findings. First, we explored the possibility that the redesigned PBL could be implemented by student facilitators without professors as tutors. Second, the redesigned PBL fostered group dynamics that facilitated developing communication skills and collaborative learning through small-group discussions. Third, the new learning elements added in the redesigned PBL made a meaningful contribution to enhancing students' clinical reasoning based on hypothetico-deductive reasoning. Fourth, concept maps in redesigned PBL contained more complex and various nodes and connections, and the levels of the nodes were more appropriate. The implications of this study can provide meaningful preliminary information for redesigning PBL curricula for medical students to develop their essential competencies through PBL.

• Journal of Information Processing Systems
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• v.17 no.3
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• pp.630-644
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• 2021

Educational data analysis is attracting increasing attention with the rise of the big data industry. The amounts and types of learning data available are increasing steadily, and the information technology required to analyze these data continues to develop. The early identification of potential dropout students is very important; education is important in terms of social movement and social achievement. Here, we analyze educational data and generate predictive models for student dropout using logistic regression, a decision tree, a naïve Bayes method, and a multilayer perceptron. The multilayer perceptron model using independent variables selected via the variance analysis showed better performance than the other models. In addition, we experimentally found that not only grades but also extracurricular activities were important in terms of preventing student dropout.

• East Asian mathematical journal
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• v.37 no.4
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• pp.381-400
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• 2021

In this study, we compare the multiple intelligence of gifted students with the multiple intelligence of their children recognized by their parents. The subjects of the study are 118 students and their parents at the gifted education center affiliated with A University. First of all, there is a difference between the multiple intelligence of gifted students and the multiple intelligence recognized by their parents. Parents are highly regarded their children in all multiple intelligence components. Second, there are differences in multiple intelligence of gifted students' gender. The difference in multiple intelligence of children recognized by parents depending on the gender of the student was similar to the student's results. Third, there are not much difference in multiple intelligence between elementary and middle school students. However, there is a big difference between students and parents in the elementary school group compared to the middle school students. Therefore, since multi-intelligence can be developed by individual experience and environment throughout one's life, an educational environment that reflects objective evaluation and student needs rather than parental subjective judgment should be created.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.240-243
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• 2021

Recently, there have been research results of applying Big data and AI technologies to the evaluation and individual learning for education. It is information technology innovations that collect dynamic and complex data, including student personal records, physiological data, learning logs and activities, learning outcomes and outcomes from social media, MOOCs, intelligent tutoring systems, LMSs, sensors, and mobile devices. In addition, e-learning was generated a large amount of learning data in the COVID-19 environment. It is expected that learning analysis and AI technology will be applied to extract meaningful patterns and discover knowledge from this data. On the learner's perspective, it is necessary to identify student learning and emotional behavior patterns and profiles, improve evaluation and evaluation methods, predict individual student learning outcomes or dropout, and research on adaptive systems for personalized support. This study aims to contribute to research in the field of education by researching and classifying machine learning technologies used in anomaly detection and recommendation systems for educational data.

• Korean Journal of Clinical Pharmacy
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• v.24 no.4
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• pp.296-303
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• 2014

Background: The first pharmacy student practice undergoing 6 year pharmacy school curriculum have begun in the hospital pharmacy, community pharmacy, pharmaceutical company and administrative office since 2013. Although most of practice sites have prepared the program of pharmacy student practice education for several years under guideline of Korean Association of Pharmacy Education, generally community pharmacies which start the pharmacy student practice education have difficulty in performing the desirable student practice program due to absent experience for it. So we reported the comparison of student practice programs between mono pharmacy and multiple pharmacies conducted by Gyeongsang National University College of Pharmacy to provide the future design information of the ideal pharmacy student practice in community pharmacy. Method: Students who practiced both multiple (multi) and mono pharmacy (mono) programs for each 5 weeks were participated the survey to evaluate the student practice programs. Results: The results of the survey on the student practice program reported that students were much more satisfied with the multiple pharmacies program than mono pharmacy program in both practical contents ($4.12{\pm}0.72$ : $3.27{\pm}1.28$; multi : mono) and satisfaction ($4.54{\pm}0.54$ : $3.54{\pm}1.3$; multi : mono) and they all gave the highest points ($5.00{\pm}0.00$) to multiple pharmacies program for recommendation because the multiple pharmacies program was significantly helpful for their experience to plan the future career. Conclusion: Mono and multiple pharmacy practice programs would be a great helpful for student's future career. However, the disadvantages of each program should be amended gradually for the unified and specialized program to be established the ideal community pharmacy student practice in Korea. The results will be affected the pharmacy practice program for students in community pharmacy and the other colleges of pharmacy to design the ideal community pharmacy practice program.

• Journal of the Korean earth science society
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• v.24 no.7
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• pp.595-603
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• 2003

The study investigated the effect of a social constructivist model on changes of concept on 103 4th graders in three elementary schools. In particular, it analyzed whether the application of a concept circle map developed student understanding of the concept. After a one month study period, the 103 students took a pencil and paper test on changes of concepts learned. The results indicated that the social constructivist model positively influenced student concept development. In conclusion, a concept circle map used on a social constructivist model may be employed as a tool for diagnostic or formative evaluation.