• Journal of Korean Home Economics Education Association
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• v.33 no.1
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• pp.101-127
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• 2021

The purpose of this study is to design and develop a teaching-learning process plan for process-based assessment, focusing on the unit related to life design in middle school home economics(HE: Home Economics part of 「Technology and Home Economics」), to propose a feedback plan after implementing it, and to evaluate the plan through participatory observation and interviews. The student reflection journals, teacher's class journals, participatory observation journals, interviews, and performance tasks, were collected and analyzed to provide foundational date to be utilized for feedback to students, and class improvement. The research results are as follows: First, the developed teaching-learning process plan consists of a total of 8 sessions, i.e. 2 sessions for each of the four learning themes, under the practical question of "What should I do to live the life I want?" The portfolio was composed of five evaluation topics and for evaluation, oral presentation, observational evaluation, self-assessment, and peer evaluation were considered. Second, during the class, feedback from teachers, feedback from fellow students, feedback through results, and a plan to record them were provided. Third, from the analysis of collected data including observation journals and interviews, it was apparent that the students recognized the necessity of process-based assessment after the class, and students acknowledged that through the process-based evaluation in which they are evaluated on the efforts they made and provided with feedbacks, they participated more in class, and it lead them to experience a sense of growth and a feeling that they took a step forward into their future. Teachers suggested that the class through feedback was suitable for the unit and the capacity of the class, but the difficulty they experienced in giving feedback was presented as a disadvantage. For the process-based assessment, follow-up research is needed on various ways to provide feedback on-line and off-line through changes in the perception of assessment.

• The Journal of Korean Academic Society of Nursing Education
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• v.21 no.2
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• pp.215-226
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• 2015

Purpose: This study aimed to develop a self-assessment tool to evaluate program outcomes of nursing students in Korean nursing undergraduate education. Methods: The instrument development process consisted of literature review, focus group interviews, and item validation. A total of 117 items were analyzed through content validity testing. Data was gathered from 302 nursing students in Korea and analyzed using SPSS 21.0. Results: To construct validity, principal component analysis and Varimax rotation were used, and 12 factors, with a cumulative explanatory variance of 69.16%, were determined from 79 items. For internal consistency and reliability, Cronbach's ${\alpha}$ was .91. The half-split reliability results were .84 and .85, and the ROC curve showed an optimal cutpoint at 227. A five-point Likert scale was used for scoring. Conclusion: This instrument was found to have fair validity and reliability as a self-assessment tool for nursing student learning outcomes. Therefore, it can be used to evaluate program outcomes indirectly in nursing schools.

• The Journal of Korean Association of Computer Education
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• v.9 no.4
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• pp.1-14
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• 2006

The purpose of the study was to investigate how to improve students' information literacy and problem solving abilities in the computer subject. A web-based problem-based learning (PBL) for computer subject for the 8th graders in middle school are designed and developed. In addition. the process of learners' problem solving on problems produced from PBL model was analysed 10 investigate the way how to evaluate learners' responses and products during two semester.

• Geomechanics and Engineering
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• v.25 no.1
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• pp.1-16
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• 2021

Machine learning models have been widely used for landslide susceptibility assessment (LSA) in recent years. The large number of inputs or conditioning factors for these models, however, can reduce the computation efficiency and increase the difficulty in collecting data. Feature selection is a good tool to address this problem by selecting the most important features among all factors to reduce the size of the input variables. However, two important questions need to be solved: (1) how do feature selection methods affect the performance of machine learning models? and (2) which feature selection method is the most suitable for a given machine learning model? This paper aims to address these two questions by comparing the predictive performance of 13 feature selection-based machine learning (FS-ML) models and 5 ordinary machine learning models on LSA. First, five commonly used machine learning models (i.e., logistic regression, support vector machine, artificial neural network, Gaussian process and random forest) and six typical feature selection methods in the literature are adopted to constitute the proposed models. Then, fifteen conditioning factors are chosen as input variables and 1,017 landslides are used as recorded data. Next, feature selection methods are used to obtain the importance of the conditioning factors to create feature subsets, based on which 13 FS-ML models are constructed. For each of the machine learning models, a best optimized FS-ML model is selected according to the area under curve value. Finally, five optimal FS-ML models are obtained and applied to the LSA of the studied area. The predictive abilities of the FS-ML models on LSA are verified and compared through the receive operating characteristic curve and statistical indicators such as sensitivity, specificity and accuracy. The results showed that different feature selection methods have different effects on the performance of LSA machine learning models. FS-ML models generally outperform the ordinary machine learning models. The best FS-ML model is the recursive feature elimination (RFE) optimized RF, and RFE is an optimal method for feature selection.

• Journal of the Korean School Mathematics Society
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• v.16 no.4
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• pp.675-694
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• 2013

The purposes of this study were to investigate teachers' perceptions on process-focused mathematics assessment using manipulatives and technological devices and to propose the direction of the process-focused mathematics assessment. This study was conducted by the survey method with a total of 332 elementary and secondary school mathematics teachers working in Seoul or Gyeonggi areas who had experienced in using manipulatives and technological devices. According to the results, the use of manipulatives and technological devices in the process-focused mathematics assessment will facilitate the use of various alternative assessment methods such as research-report, project, and discussion for the process-focused mathematics assessment. Those alternative assessment methods enable teachers to diagnose students' learning in more accurate and holistic views and contribute to improving teachers' teaching practices focused on the mathematical process.

• The Journal of Korean Institute of Information Technology
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• v.16 no.12
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• pp.115-125
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• 2018

The one of goals of the 2015 revised national curriculum is the successful application of achievement standards-based assessment, which assesses both the results and process of learning, ensuring that all students have achieved the educational objectives, to schools. Therefore, an achievement standards and evaluation support system is required to manage a whole process of teaching and learning based on achievement standards and provide the personalized assessment feedback to students to improve their achievement levels. In this paper, we perform a design of integrated data model and system of teaching plan, subject content, assessment plan, assessment result, and feedback data is required based on an achievement standards repository. In addition, we create a student's dashboard webpage, which representing different types of achievement of the student, and perform the comparative analysis of data models to evaluate the quality of the proposed model.

• Korean Medical Education Review
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• v.11 no.1
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• pp.35-43
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• 2009

Learning strategies are defined as behaviors and thoughts that a learner engages in during learning and that are intended to influence the learner's encoding process. Today, demands for teaching how to learn increase, because there is a lot of complex material which is delivered to students. But learning strategies shouldn't be identified as tricks of students for achieving high scores in exams. Cognitive researchers and theorists assume that learning strategies are related to two types of learning processing, which are described as 'surface learning' and 'deep learning'. In addition learning strategies are associated with learning motivation. Students with 'meaning orientation' who struggle for deep learning, are intrinsically motivated, whereas students with 'reproduction orientation' or 'achieving orientation' are extrinsically motivated. Therefore, to foster active learning and intrinsic motivation of students, it isn't enough to just teach how to learn. Changes of curriculum and assessment methods, that stimulate deep learning and curiosity of students are needed with educators and learners working cooperatively.

• The Journal of Korean Association of Computer Education
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• v.6 no.4
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• pp.195-207
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• 2003

The Seventh Curriculum uses not only individual assessment but also team assessment method that organizes and solves assignments by team unit. It also helps students to learn cooperation and responsibility and share the ideas and process of the team project with other students through class presentation. It is also cooperative learning which is performed by several students together. Therefore, the assessment of team project is required to synthetically assess the performance process not the itself. This thesis will examine the actual problems about team project assessment and analyze related literatures. Then, this study designs and implements a practical system which alleviates the burden of teachers in charge of a team project assessment and improves reliability and validity in assessing team projects through multilateral assessment aiming at process as well as result objectives.

• Journal of the Korea Society of Computer and Information
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• v.21 no.9
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• pp.149-156
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• 2016

This paper is concerned with education courses operating practices for basic computer literacy training. In this study, we propose an example for students to effectively measure and evaluate the achievement of defined ability in the performance measurement and analysis, learning objectives and learning outcomes set in operation throughout the course. Through research and development use case presents the tools for teaching method and effective and objective measurement of the related subjects. And based on the results, we propose the possibility of utilizing NCS-based course operation and education certification. In this study, the measurement process is based on the association with the objective of the development and operation, and measurement tools, measuring tools for measuring learning outcomes associated with the curriculum design methods for the measurement and evaluation of the case of the operation of the course units of learning outcomes and the method proposed.

• The Korean Journal of Emergency Medical Services
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• v.28 no.1
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• pp.97-112
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• 2024

Purpose: This study compared the relative importance of educational content, teaching methods, and evaluation methods in the patient assessment curricula of 119 emergency medical technicians (EMTs). Methods: First, we identified the educational content, training hours, and teaching and evaluation methods of the existing patient assessment curriculum based on the National Competency Standard learning module. Second, we surveyed 30 EMTs affiliated with 119 services using the Analytic Hierarchy Process (AHP) method. Subsequently, we compared the differences between the current curriculum and the AHP analysis results. Results: Currently in operation, the "Advanced EMT Course" comprises three learning modules: assessment of patient status, scene size-up and triage, and assessment using monitoring devices. Among these, content related to the assessment of patient status received the most allocated time and was deemed the most important according to the AHP survey results. Conversely, while less time was allocated to scene size and triage compared with assessment using monitoring devices, the former was assessed as more important than the latter in the AHP results. Furthermore, scenario-based team training and procedure-focused individual practice were evaluated as relatively important teaching methods, while practical examination using a checklist was deemed the most appropriate evaluation method for all learning content. Conclusion: To improve the patient assessment curriculum, we propose adjusting teaching hours and introducing new teaching and evaluation methods based on the results of relative importance. The proposed improvement plan will contribute to enhancing the competency of 119 EMTs.