• Title/Summary/Keyword: learning Evaluation

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Learning Diagnosis & Prescription Service in Cyber Home Learning System : Improvements on User Experience by doing Usability Evaluation (사이버가정학습 진단처방학습관리시스템 사용성 평가 및 학습 경험 개선 방향 도출)

  • Cha, Hyun-Jin;Ahn, Mi-Lee
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.876-883
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    • 2009
  • Learning Diagnosis & Prescription Service(LDPS) in Cyber Home Learning System is a educational service which provides customized learning contents based on student's academic level and individualized counseling and comments after diagnosing learner's study habits beyond the past e-Learning systems which offer the same contents to different students. For a national point of view, it is a crucial project in public education to achieve the goals of the next-generation e-Learning service by making a lot efforts both in time and money. However, those efforts has been made, not in terms of providing a better quality of service and a better user experience in a effective and enjoyable way, but in terms of developing the technology-driven system. Therefore, in this study, two types of usability evaluations has been conducted in order to enhance a user experience on the LDPS. One is the expert reviews by utilizing the usability evaluation tools (heuristics) which was focused on educational contexts developed by Suh Young-suhk(2007). The other is the user testing with students who have done think-aloud during the evaluation, remembering their retrospective experience with LDPS, and the interview with teachers & service operators were conducted. As the implications on the research, this is an effort to provide an user-friendly educational system for the students nationwide.

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The Effects of Practice Education Evaluation using Peer Evaluation on Core Fundamental Nursing Skills Competency, Learning Attitude, Critical thinking and Self-Leadership (동료평가를 활용한 실습교육평가방법이 핵심기본간호술 수행능력, 학습태도, 비판적사고 및 셀프리더십에 미치는 효과)

  • Kim, Yeong-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.9
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    • pp.351-361
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    • 2019
  • The purpose of this study was to investigate the effect of a peer evaluation method on the core fundamental nursing skills competency, learning attitude, critical thinking and self-leadership of graduating nursing students. A survey using a questionnaire was administered to 326 nursing students. The data was analyzed using SAS(ver. 9.8) and AMOS(ver.20.0) The results of peer evaluation showed that the fundamental nursing skills competency was 3.77(${\pm}.62$), the learning attitude was 3.17(${\pm}.47$), critical thinking was 3.44(${\pm}.41$) and self-leadership was 3.60(${\pm}.49$). Core fundamental nursing skills competency showed statistical differences based on gender, major satisfaction, practice satisfaction, pre-learning and satisfaction with the peer evaluation. Core fundamental nursing skills competency was positively correlated with learning attitude(r=.295, p<.001), critical thinking was positively correlated with core fundamental nursing skills competency(r=.384, p<.001) and learning attitude(r=.623, p<.001), and finally, self-leadership was positively correlated with core fundamental nursing skills competency(r=.353, p<.001), learning attitude(r=.529, p<.001) and critical thinking(r=.690, p<.001). The factors affecting fundamental nursing skills competency were critical thinking and self-leadership. Core fundamental practical education programs to improve learning attitude, critical thinking and self-leadership need to be developed to increase core fundamental nursing skills.

Evaluation System of Psychological Feelings for Corporate Identity Symbol Marks Using Fuzzy Neural Networks (퍼지 - 뉴럴네트워크를 이용한 CI 심벌마크의 감성평가시스템)

  • Chang, In-Seong;Park, Yong-Ju
    • Journal of Korean Institute of Industrial Engineers
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    • v.27 no.3
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    • pp.305-314
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    • 2001
  • In this paper, we construct an automatic evaluation system of psychological feeling for corporate identity (CI) symbol mark based on a fuzzy neural network technique. The system is modelled by trainable fuzzy inference rules with several input variables (qualitative and quantitative design components of CI symbol mark) and a single output variable (consumer's feeling). The back propagation learning algorithm, which is a conventional learning method of multilayer feedforward neural networks, is used for parameter identification of the fuzzy inference system. The learning ability to train data and the generalization ability to test data are evaluated for the proposed evaluation system by computer simulations.

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State Evaluation of RC Bridge Girders by Inductive Case Learning (귀납적 사례학습에 의한 RC교량 주형의 상태평가)

  • 안승수;김기현;박광림;황진하
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2000.10a
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    • pp.159-165
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    • 2000
  • A new state evaluation approach for structural safety is presented in this study. To reduce the subjectivity of the view and judgement of each expert founded on a limited body of knowledge in cognitive and inferential process of safety assessment, we introduced inductive learning method in AI. Inductive learning derives generalization from experiences. Decision tree induction algorithm analyzes the domain knowledge, produce rules via decision trees and then allow us to determine the classification of an object from case examples. The training set of state evaluation is constructed according to the selected attributes from working reports of RC bridge girders.

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Course Learning and Evaluation in Web based Instruction (웹 기반 교수에서의 코스학습 진도관리 및 평가)

  • 허미영
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 1999.11a
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    • pp.336-339
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    • 1999
  • Education paradigm is moved from traditional face-to-face method to cyber education environment. Therefore, we extracted the components of cyber education system and their detail functions through analysis on the workflow of education and learning standard technology. In addition, we think that template system will make a big role in order to deploy the cyber education system. Therefore, we designed the template system for cyber education. In this paper, we particularly describe both evaluation funrtion on course learning records and statistics function ell evaluation records.

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Development and Evaluation of Geriatric Visiting Nurses' Educational Program (노인전담 방문간호사 교육 프로그램 개발 및 평가)

  • Baek, Hee Chong
    • Journal of Korean Academic Society of Home Health Care Nursing
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    • v.25 no.3
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    • pp.240-248
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    • 2018
  • Purpose: The purpose of this study was to evaluate the validity of an educational program developed for geriatric visiting nurses in Seoul by assessing their satisfaction level and level of learning goal achievement. Methods: This descriptive research study was conducted to develop, implement, and evaluate the educational program in accordance with the ADDIE Instructional System Model. Participants were 170 nurses hired for the 2016 Seoul Metropolitan Government visiting service for older people. Based on Kirkpatrick's Training Evaluation Model, reaction and learning evaluations were conducted during and after the educational program. Data were analyzed using descriptive statistics. Results: The developed educational program consisted of basic and professional courses. The evaluations showed that participants were highly satisfied with the lectures and field placement. Over 90% of the participants achieved the learning achievement goals. Conclusion: The program developed for geriatric visiting nurses in Seoul is considered a valid educational program because of the participants' high levels of satisfaction and academic achievement.

Analysis of Credit Approval Data using Machine Learning Model (기계학습 모델을 이용한 신용 승인 데이터 분석)

  • Kim, Dong-Hyun;Kim, Se-Jun;Lee, Byung-Jun;Kim, Kyung-Tae;Youn, Hee-Yong
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2019.01a
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    • pp.41-42
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    • 2019
  • 본 논문에서는 다양한 기계학습 모델을 이용한 신용 데이터 분석 기법에 대해 서술한다. 기계학습 모델은 크게 Canonical models, Committee machines, 그리고 Deep learning models로 분류된다. 이러한 다양한 기계학습 모델 중 일부 학습 모델을 기반으로 Benchmark dataset인 Credit Approval 데이터를 분석하고 성능을 평가한다. 성능 평가에는 k-fold evaluation method를 사용하며, k-fold evaluation 결과에 대한 평균 성능을 측정하기 위해 Accuracy, Precision, Recall, 그리고 F1-score가 사용되었다.

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Assembly performance evaluation method for prefabricated steel structures using deep learning and k-nearest neighbors

  • Hyuntae Bang;Byeongjun Yu;Haemin Jeon
    • Smart Structures and Systems
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    • v.32 no.2
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    • pp.111-121
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    • 2023
  • This study proposes an automated assembly performance evaluation method for prefabricated steel structures (PSSs) using machine learning methods. Assembly component images were segmented using a modified version of the receptive field pyramid. By factorizing channel modulation and the receptive field exploration layers of the convolution pyramid, highly accurate segmentation results were obtained. After completing segmentation, the positions of the bolt holes were calculated using various image processing techniques, such as fuzzy-based edge detection, Hough's line detection, and image perspective transformation. By calculating the distance ratio between bolt holes, the assembly performance of the PSS was estimated using the k-nearest neighbors (kNN) algorithm. The effectiveness of the proposed framework was validated using a 3D PSS printing model and a field test. The results indicated that this approach could recognize assembly components with an intersection over union (IoU) of 95% and evaluate assembly performance with an error of less than 5%.

Designing a Project-based Service-Learning Course for Pre-dental Education: A Theoretical Exploration

  • LEE, Jihyun
    • Educational Technology International
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    • v.16 no.2
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    • pp.249-272
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    • 2015
  • This study is a theoretical exploration of project-based service-learning and its application in designing pre-dental curricula. As a response to the limitation of community service courses, service-learning has been implemented as pedagogy in higher education practices. Service-learning connects service and learning by engaging students in activities that address community needs with intentionally designed learning opportunities while adding value to and transforming both service and learning. Project-based service-learning is an extended and more active version of service-learning. Whereas service activities are arranged by instructors in the original service-learning, project-based service-learning provides students with opportunities for exploring problems and root causes on site and then devising and implementing solutions of their own using their talents and creativity. This study proposes a theoretical approach to project-based service-learning and suggests six design components, namely, related curriculum, reflection, reciprocity, service and community engagement, evaluation and recognition, and creative problem solving. Based on the components, 20 design strategies are formulated. The exploration is aimed to provide design guides for professionals attempting to implement project-based service-learning in higher education.

Development of the Sustainable Dietary Life Teaching-Learning Plans to Implement the Sustainable Development Goals (SDGs) (지속가능발전목표(SDGs) 이행을 위한 지속가능한 식생활 교수·학습 과정안 개발)

  • Lee, Jung Eun;Yu, Nan Sook
    • Journal of Korean Home Economics Education Association
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    • v.34 no.3
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    • pp.149-167
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    • 2022
  • The purpose of this study was to identify learning topics linked to Sustainable Development Goals(SDGs) in the dietary life unit of middle school technology and home economics textbooks and to develop teaching-learning plans and learning materials to verify the feasibility and field suitability. This study was carried out through analysis, design, development, and evaluation stages, and the results are as follows. First, in the analysis stage, the dietary life contents of the five home economics textbooks written based on the 2015 revised curriculum were analyzed, and dietary life-related goals were extracted from the 169 SDG targets to reorganize the learning topics linked to the contents of the textbooks. Second, in the design stage, the overall goal of the entire class was set and each session was designed by selecting the learning goals, learning topics, and learning contents, reflecting the SDGs related to the session to be developed. Based on the analyses of textbooks and the SDGs related to dietary life, the themes of 'desirable eating habits of adolescents', 'food production', 'food distribution', and 'food consumption and disposal' were extracted. Third, in the development stage, a total of 11 teaching-learning plans and student worksheets were developed, and an evaluation sheet was developed for expert verification. Fourth, in the evaluation stage, the feasibility and field suitability of the teaching-learning plans were verified by 5 home economics teachers. Learning goals, learning contents, connectivity to related SDGs, and feasibility of teaching-learning plan were evaluated, and based on the assessment results, teaching-learning plans were revised.