• Journal of Science Education
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• v.37 no.2
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• pp.348-358
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• 2013

The purpose of this study is to develop the science item on computer-based performance assessment which is able to replace the assessment with actual experimental apparatus. The survey on the necessities and the difficulties of the assessment with actual experimental apparatus was conducted with 57 physics teachers. By reflecting the results of the survey, the computer-based assessment items which are related with constructing circuits with an ammeter and a voltmeter were developed. The developed computer-based assessment items were organized in similarity to assessment conducted with actual experimental apparatus, proper feedback was provided by students' performance in the process of assessment so as to grading performance results automatically. To achieve them, the algorithm was developed so that computer can judge the accuracy of students' performance results.

• The Journal of Korean Association of Computer Education
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• v.9 no.4
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• pp.35-42
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• 2006

We have investigated the effect of student-generated rubrics on learning motivation and achievement in performance evaluation of computer class. We studied the related previous researches and developed the procedure for performance evaluation using student-generated rubrics. According to thc developed procedure, the performance evaluation has been carried. Students have more clear understanding of their assignments and rubrics during the negotiation process. Student generated rubric has a positive effect on learning motivation and achievement.

• International Journal of Internet, Broadcasting and Communication
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• v.8 no.2
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• pp.1-22
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• 2016

While many organizations believe that cloud computing has the potential to reduce operational cost by abstracting capital assets like data storage center and processing systems into a readily on demand available and affordable operating expenses, still many of these organizations are not aware of the factors determining the performance of cloud computing technology. This paper provides a systematic literature review focusing on the factors determining the performance of cloud computing. In trying to come up with this review, the following sources were searched for relevant articles: ScienceDirect, Scientific.Net, ACMDigital Library, IEEE Xplore, Springer, World Scientific Journal, Wiley Online Library, Academic Search Premier (via EBSCOHost) and EdITLib (Education & Information Technology Digital Library). In first search strategy, approximately 100 keywords related to the research domain like; "Cloud Computing" and "Cloud Services" were used. In second search strategy, 65 keywords more related to the research domain were selected. In the third search strategy, the primary materials were identified and classified according to the paper types (Journal or Conference), year of publication and so on. Based on this study, twenty (20) factors were found that determine the performance of cloud computing. The IT organization needs to consider these twenty (20) factors in order to adopt cloud computing.

• The Journal of Korean Association of Computer Education
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• v.8 no.5
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• pp.43-50
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• 2005

The purpose of the study was to compare the effects of two instructional methods, which were the instructor-led instruction and the simulation delivery instruction on students' well-structured and ill-structured problem solving performance and motivation. 29 undergraduate students participated in the study and repeated measure design was used. We found significant difference of means in ill-structured problem solving performance and only relevance scale in motivation.

• The Journal of Korean Association of Computer Education
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• v.12 no.3
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• pp.1-10
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• 2009

Evaluation criteria of 'Inquiry' for subjects related to information and computer in Vocational Education Section are four and not specified. The purpose of this study is to develope evaluation criteria of 'Inquiry' for subjects related to information and computer in vocational education section. To design evaluation criteria of 'Inquiry', this paper analyzed college entrance tests and performance capabilities of computing graduating. This paper investigated the validity of the contents as judged by a panel of experts. 'Inquiry' was classified 'Analysis', 'Synthesis' and 'Evaluation'. This paper developed three evaluation criteria for 'Analysis', six evaluation criteria for 'Synthesis' and two evaluation criteria for 'Evaluation' with sample evaluation tool.

• 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.

• The Journal of Korean Association of Computer Education
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• v.4 no.1
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• pp.77-85
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• 2001

The virtual education has extended its position as a new educational mean in the whole society. A lot of cyber campuses like the virtual training institutes and the remote colleges were newly formed. With the development of the technology related to the Internet, new systems that support smooth virtual education have appeared. But the systems that had no problems at first became low speed gradually with the increase of the learners and contents and there arose a lot of problems. The problems can be solved through upgrading the hardware equipments, but it needs a lot of expenses and there always exists waste of unnecessary system resources. Accordingly, this study is to test the performance of the server through the simulation under various situations and investigate the plan for improvement in order to grope for the plan that can improve the performance of the virtual education systems. It is fragmentary simulation. But if we would like to correct the server programs and complement it on the basis of these plans for improvement, we may expect the sufficient improvement of performance. Also it may have sufficient values as data for smooth virtual education.

• Journal of The Korean Association of Information Education
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• v.4 no.2
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• pp.232-240
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• 2001

The aim of this study was to develop the performance evaluation processing system in elementary schools. First of all, the researcher reviewed theoretical aspects of performance evaluation. Fuzzy was used to devise the system for learning course. The performance evaluation processing system has been applied to Practical Arts Subject in elementary schools, from which good results were obtained.

• Journal of the Korea Society of Computer and Information
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• v.28 no.3
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• pp.159-166
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• 2023

In this paper, we propose a reasonable plan for university information education by examining whether university students' academic performance improves when the information mind is satisfied. In particular, through comparison between physical education students and general students, it was intended to provide empirical help in preparing strategies for information education in universities in the future. As a result of the analysis, there were some differences by major category, but overall, the information mind improved major convergence ability, teamwork and self-directed learning ability, and academic performance. Therefore, in order to improve the Information mind of college students, it is suggested that the need for Information should be recognized and the curriculum and program suitable for the major characteristics should be introduced and implemented.

• Journal of the Korea Society of Computer and Information
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• v.23 no.8
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• pp.45-50
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• 2018

Many of the current successful commercial recommender systems utilize collaborative filtering techniques. This technique recommends products to the active user based on product preference history of the neighbor users. Those users with similar preferences to the active user are typically named his/her neighbors. Hence, finding neighbors is critical to performance of the system. Although much effort for developing similarity measures has been devoted in the literature, there leaves a lot to be improved, especially in the aspect of handling subjectivity or vagueness in user preference ratings. This paper addresses this problem and presents a novel similarity measure using fuzzy logic for selecting neighbors. Experimental studies are conducted to reveal that the proposed measure achieved significant performance improvement.