• Journal of Korean Academy of Fundamentals of Nursing
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• v.16 no.2
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• pp.200-206
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• 2009

Purpose: The purpose of this study was to analyze nursing students' learning styles and relationship of learning style to participation and academic achievement. Method: The study participants were nursing students in C college learning through problem based learning (PBL). Data were collected using a questionnaire which included Kolb's learning styles. Performance evaluation and paper examination were used to evaluate academic achievement. Results: Most of the students had converger type learning style. Student with a tendency to abstract conceptualization, such as converger type and assimilator type, preferred discussion and presentation. The students with converger type learning style participated and achieved better than students with diverger style. Conclusion: The results indicate that learning style was related to participation and academic achievement. Therefore in order to use PBL effectively, facilitators should consider students' learning styles.

• Educational Technology International
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• v.22 no.2
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• pp.255-283
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• 2021

In the early 2020, COVID-19 changed the traditional way of teaching and learning. This paper aimed to explore the impact of college students' perception of course quality on their online learning satisfaction. A total of 4,812 valid samples were extracted, and the difference analysis and hierarchical regression analysis were used to make an empirical analysis of college students' online learning satisfaction. The research results were as follows. Firstly, there was no difference in online learning satisfaction among students by gender and grade. Secondly, learning assessment, course materials, course activities and learner interaction, and course production had a significant positive impact on online learning satisfaction. Course overview and course objectives had an insignificant correlation with online learning satisfaction. Thirdly, the total effect of online learning satisfaction was as follows. Course production had the greatest effect, followed by course activities and student-student interactions, followed by course materials. It was the learning evaluation that showed the least effect. This study can provide empirical reference for college teachers on how to continuously improve online teaching and increase students' satisfaction with online learning.

• Educational Technology International
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• v.23 no.1
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• pp.41-66
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• 2022

Vocabulary learning plays an important role in language learning. This study explored a new paradigm based on social networking site (SNS) supported collaborative learning for vocabulary learning. SNS supported collaborative learning (SSCL) can effectively promote learners' engagement, interest and motivation by providing a more communicative and interactive environment. However, vocabulary learning studies on SSCL mainly focused on the effectiveness and influencing factors, lacking specific instructional strategies. Therefore, this study aims to develop instructional strategies that guide instructors to create an SSCL environment for facilitating vocabulary learning. The final instructional strategies are composed of three stages according to the course process, consisting of 8 general strategies and 21 specific guidelines. The content validity was ensured by four experts in the field of educational technology. The instructional strategies were then applied in an actual classroom with 16 students. The positive responses from the instructor and learners indicated that SSCL can be reasonably incorporated into the current curriculum to provide effective learning opportunities and to promote learners' vocabulary learning.

• The Journal of Korean Association of Computer Education
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• v.19 no.3
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• pp.55-66
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• 2016

This study explored the rating tendency of online university learners in their course evaluations and its effects on the course evaluation results. Data including the subjects' demographic information, learning activities, rating tendency, and course evaluation results were collected from 1,098 learners in an online university in the spring semester of 2015. There were three main findings. First, the subjects showed distinctive rating tendencies in participation rates for course evaluation and rating consistency. The participation rates went from one extreme (0%) to the other (100%), and the rating consistency among the test items was highly related to that among the courses as a whole. Second, the subjects showed different tendencies in terms of course evaluation period, rating consistency, and course evaluation results according to demographic information and learning activities. Third, course evaluation results were independently affected by demographic information, learning activities, and rating consistency. The study was meaningful in that it explored learners' rating tendencies concretely and suggested that such tendencies should be considered in analyzing course evaluation results.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.6
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• pp.2543-2547
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• 2011

This paper suggests a new method for team-based learning which is focusing on the individual job assignment to solve the possible problems of free riders, dysfunctional conflicts, and hostility among students. Especially, it examines that if a method using job assignment could reduce the adverse effects of peer evaluation. This study was executed during one semester. Each team was organized with seven members and an independent job among seven different jobs was assigned to each member. At the end of the semester, it was examined that if individual job assignment had solved the possible problems of free riders, dysfunctional conflicts, and hostility among students. Finally, this study found that a new method of team-based learning using a job assignment lessened a problem of free riders, and reduced dysfunctional conflicts and hostility among students comparing with the peer evaluation method. The suggested method in this paper, which focuses on the job assignment of team project, could improve the efficiency of team-based learning in education course.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.25 no.4
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• pp.333-349
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• 2014

This study exploratively investigated the cultural disposition of undergraduates in LIS and their collaborative learning. To identify the cultural disposition, this study employed the Triandis' scale identifying four dimensions including horizontal individualism, vertical individualism, horizontal collectivism, vertical collectivism. Additionally, their collaborative learning was analyzed by self- and peer-evaluation surveys. The findings showed that 66.7% LIS students had the horizontal collectivism and their contribution to the collaboration was higher than other groups. Additionally, the gender difference indicated that female students actively participated in the collaboration and gave more contributions than male students. However, the female students had low satisfaction to the collaboration. These results can be used to improve LIS students' collaborative learning.

• The KIPS Transactions:PartA
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• v.12A no.2 s.92
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• pp.181-190
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• 2005

The development of web-based distance education surroundings is steadily achieving. However the studying on the learning effect of learners is still weak against development of educational media itself. At present, most of the distance education system is showing limits in the evaluation of the learning effect because the teaming evaluation depends on mid or final-term exams by on-line or off-line. There is a strong point that the distance education is free from space and time. One of present weak points is limitation of evaluating learner's attitude which can estimate learning effects. Earnest teaming attitude at distance education is important factor for improving the learning effects. In this paper, we propose a model for improving the teaming effects by forcing real-time evaluation and returning feedback to learners at the cyber lectures. The developed experimental system is verified its possibilities.

• Journal of Engineering Education Research
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• v.25 no.3
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• pp.3-10
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• 2022

An educator may utilize various pedagogies such as hands-on practice, practicum, and project-based learning to enhance a student's competency. Among various pedagogies, project-based learning is one of the well-known pedagogies that may provide similar on-the-job experience. In general, an educator may divide the students into small groups and assign tasks to check students' cooperation skills and achievements during project-based learning. However, an educator may experience difficulties operating project-based learning due to the COVID-19 pandemic. Most of the team activities are done in non-face-to-face meetings, and as a consequence, the educator may not find an underachieving team easily and cannot intervene appropriately. This study introduces a rigorous analysis method to evaluate team activities to analyze individual students' participation and contributions. First, this study develops evaluation rubrics by conducting questionnaires to professors and students to find an appropriate weight value for the evaluation scale. Then, this research introduces an analysis environment to evaluate students automatically. The analysis environment collects dialog data from social network services and measures interactions among students in a team. After measuring interactions, the environment generates a report to visualize the team activities. We applied the proposed method and environment to the capstone design course to show the effectiveness of the method and environment. Based on the case study, the environment showed that the analysis method could easily indicate the teams' activities and check the level of participation.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.4
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• pp.78-96
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• 2023

Urban traffic information is collected by various systems such as VDS, DSRC, and radar. Recently, with the development of deep learning technology, smart intersection systems are expanding, are more widely distributed, and it is possible to collect a variety of information such as traffic volume, and vehicle type and speed. However, as a result of reviewing related literature, the performance evaluation criteria so far are rbs-based evaluation systems that do not consider the deep learning area, and only consider the percent error of 'reference value-measured value'. Therefore, a new performance evaluation method is needed. Therefore, in this study, individual error, interval error, and overall error are calculated by using a formula that considers deep learning performance indicators such as precision and recall based on data ratio and weight. As a result, error rates for measurement value 1 were 3.99 and 3.54, and rates for measurement value 2 were 5.34 and 5.07.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.299-311
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• 2023

This study is to verify the development process and effectiveness of a learning strategy program for junior college students. The necessity and feasibility of learning strategy programs for junior college students were confirmed and reviewed through prior studies, and the program development process was divided into four stages: program planning, program development, program execution, and program evaluation, and integrated into program development management. In the first stage of program planning, the development direction, goals and objectives were set. In the second stage of program development, prior research analysis, content selection, program organization, and evaluation plan were conducted. In the third stage of execution, the program was executed, and in the fourth stage of evaluation, program evaluation was conducted to develop the program. In order to verify the effectiveness of the program, the test was conducted using the learning strategy diagnostic scale for junior college students to collect data, and the effectiveness was verified for the pre-, post-, and post-test scores.