• Title/Summary/Keyword: learning Evaluation

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A case study of problem-based learning (PBL) in classes (PBL을 활용한 <드레이핑> 교과 수업사례 및 학습효과 연구)

  • Kang, Yeo Sun
    • The Research Journal of the Costume Culture
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    • v.29 no.3
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    • pp.346-360
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    • 2021
  • Universities have recently introduced problem-based learning (PBL) to various subjects to enhance problem-solving skills (including self-directed learning and small-group learning) required in industry. The PBL module was applied to the personal production process in a draping class. A study was based on a questionnaire after conducting two PBL modules with a group of students. Each PBL module included 'design analysis', 'presentation of flat sketch and draping plan', 'discussion of the plan', 'evaluation of the draping result and correcting the problem', and 'final evaluation of the completed project'. Results showed that satisfaction with the PBL method and its activities was higher than satisfaction with existing teaching methods. In particular, among the various components, the 'design analysis' and 'the presentation step of flat sketch and draping plan' stages were more helpful to students compared to small-group discussion. Moreover, the effects of PBL were observed through student reflection essays, in which students suggested that PBL was very effective in enhancing problem-solving through self-directed and small-group learning. Despite the overall satisfaction with PBL, students expressed some minor difficulties associated with awkwardness with a novel learning method, lack of diverse perspectives among each group, and poor communication skills. Therefore, the study shows that PBL is highly likely to be useful to students when they are solving pattern drafting problems and making samples through self-directed learning and small-group learning.

Design and Implementation of ELAS in AI education (Experiential K-12 AI education Learning Assessment System)

  • Moon, Seok-Jae;Lee, Kibbm
    • International Journal of Advanced Culture Technology
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    • v.10 no.2
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    • pp.62-68
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    • 2022
  • Evaluation as learning is important for the learner competency test, and the applicable method is studied. Assessment is the role of diagnosing the current learner's status and facilitating learning through appropriate feedback. The system is insufficient to enable process-oriented evaluation in small educational institute. Focusing on becoming familiar with the AI through experience can end up simply learning how to use the tools or just playing with them rather than achieving ultimate goals of AI education. In a previous study, the experience way of AI education with PLAY model was proposed, but the assessment stage is insufficient. In this paper, we propose ELAS (Experiential K-12 AI education Learning Assessment System) for small educational institute. In order to apply the Assessment factor in in this system, the AI-factor is selected by researching the goals of the current SW education and AI education. The proposed system consists of 4 modules as Assessment-factor agent, Self-assessment agent, Question-bank agent and Assessment -analysis agent. Self-assessment learning is a powerful mechanism for improving learning for students. ELAS is extended with the experiential way of AI education model of previous study, and the teacher designs the assessment through the ELAS system. ELAS enables teachers of small institutes to automate analysis and manage data accumulation following their learning purpose. With this, it is possible to adjust the learning difficulty in curriculum design to make better for your purpose.

Development of Medical Cost Prediction Model Based on the Machine Learning Algorithm (머신러닝 알고리즘 기반의 의료비 예측 모델 개발)

  • Han Bi KIM;Dong Hoon HAN
    • Journal of Korea Artificial Intelligence Association
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    • v.1 no.1
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    • pp.11-16
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    • 2023
  • Accurate hospital case modeling and prediction are crucial for efficient healthcare. In this study, we demonstrate the implementation of regression analysis methods in machine learning systems utilizing mathematical statics and machine learning techniques. The developed machine learning model includes Bayesian linear, artificial neural network, decision tree, decision forest, and linear regression analysis models. Through the application of these algorithms, corresponding regression models were constructed and analyzed. The results suggest the potential of leveraging machine learning systems for medical research. The experiment aimed to create an Azure Machine Learning Studio tool for the speedy evaluation of multiple regression models. The tool faciliates the comparision of 5 types of regression models in a unified experiment and presents assessment results with performance metrics. Evaluation of regression machine learning models highlighted the advantages of boosted decision tree regression, and decision forest regression in hospital case prediction. These findings could lay the groundwork for the deliberate development of new directions in medical data processing and decision making. Furthermore, potential avenues for future research may include exploring methods such as clustering, classification, and anomaly detection in healthcare systems.

(The Development of Janggi Board Game Using Backpropagation Neural Network and Q Learning Algorithm) (역전파 신경회로망과 Q학습을 이용한 장기보드게임 개발)

  • 황상문;박인규;백덕수;진달복
    • Journal of the Institute of Electronics Engineers of Korea TE
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    • v.39 no.1
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    • pp.83-90
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    • 2002
  • This paper proposed the strategy learning method by means of the fusion of Back-Propagation neural network and Q learning algorithm for two-person, deterministic janggi board game. The learning process is accomplished simply through the playing each other. The system consists of two parts of move generator and search kernel. The one consists of move generator generating the moves on the board, the other consists of back-propagation and Q learning plus $\alpha$$\beta$ search algorithm in an attempt to learn the evaluation function. while temporal difference learns the discrepancy between the adjacent rewards, Q learning acquires the optimal policies even when there is no prior knowledge of effects of its moves on the environment through the learning of the evaluation function for the augmented rewards. Depended on the evaluation function through lots of games through the learning procedure it proved that the percentage won is linearly proportional to the portion of learning in general.

Teaching-Learning Model of Convergence Project Based on Team Teaching in Engineering Education (공학교육에서의 팀티칭기반 융합프로젝트중심 교수학습모형의 개발)

  • Park, Kyungsun
    • Journal of Engineering Education Research
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    • v.17 no.2
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    • pp.11-24
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    • 2014
  • The purpose of this study is to develop a teaching-learning model of convergence project based on team teaching. Based on development research methodology which explored a university case, the teaching-learning model was developed including three phases such as preparation, planning, and implementation & evaluation. The preparation phase has three steps as follows: to organize team teaching faculty; to develop convergence projects cooperated by industry and university; and to design instructions based on supporting convergence projects. The last step of preparation phase consists of five design activities of: (1) instructions and teaching contents; (2) communication channel among faculty members; (3) feedback system on students' performance; (4) tools to support learners' activity; and (5) evaluation system. The planning phase has two steps to analyze learners and to introduce and modify instruction and themes of convergence projects. The implementation & evaluation phase includes five steps as bellow: (1) to organize project teams and match teams with faculty members; (2) to do team building and assign duties to students of a team; (3) to provide instruction and consulting to teams; (4) to help teams to conduct projects through creative problem solving; and (5) to design mid-term/final presentation and evaluation. Lastly, the research implications and limitations were discussed for future studies.

Effect-Evaluation of Nutritional Education Program Using Internet for School Children (아동을 대상으로 한 인터넷 영양교육 프로그램의 효과분석)

  • 허은실;이경혜
    • Journal of Nutrition and Health
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    • v.36 no.5
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    • pp.500-507
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    • 2003
  • This study was carried out to evaluate the effects on elementary school children of Internet-based nutrition education programs. The subjects consisted of 80 boys and girls (book-loaming group : 42, Internet-based teaming group : 38) in the 5th grade of elementary school. The results were as follows : The evaluation of Internet-based education programs by Internet-teaming group showed above average in all domains. As the favorite and wholesome menu chose‘nutrition kingdom’(52.6%) made of animation. The educational effect of this program was evaluated by comparing the methods of the Internet-learning group with those of the book-learning group. For effect-evaluation were measured the degree of nutrition knowledge and diversity score of dietary intake from before and after education. Before undertaking the program, there was no significant difference between the two groups in terms of their nutrition knowledge. However, the nutrition knowledge of the Internet-based teaming group after the program had increased significantly (p < 0.01) compared to the book-learning group. There was no significant difference between the two groups in terms of the diversity of dietary intake before the start of the program, but upon its completion, the Internet-based learning group showed a significant increase compared to the book-loaming group (p < 0.05). This suggests that Internet-based educational programs could be effective in drawing the interest and boosting the concentration levels of schoolchildren. In conclusion, Internet-based nutrition education shows the potential to be an effective alternative education method. (Korean J Nutrition 36(5): 500∼507, 2003)

A Study of Development for Performance Evaluation Model in the Center for Teaching & Learning (교수학습센터 성과 평가 모형 개발 연구)

  • Heo, Gyun;Won, Hyo-Heon
    • The Journal of Korean Association of Computer Education
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    • v.11 no.6
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    • pp.77-84
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    • 2008
  • The Teaching & Learning Center plays an important role in increasing the expertise of instructors and for directing the diffusion of innovation not only in primary & secondary education but also in education at the university level. In this study, the Performance Evaluation Model is devised and developed for improving the competency of the Teaching & Learning Center. It consists of three domains - (a) the planning domain, (b) the process domain, and (c) the performance domain - and 11 external indices and 8 internal indices. The Performance Evaluation Index and Guidelines are proposed based on this model.

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Development of LMS Evaluation Index for Non-Face-to-Face Information Security Education (비대면 정보보호 교육을 위한 LMS 평가지표 개발)

  • Lee, Ji-Eun
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.31 no.5
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    • pp.1055-1062
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    • 2021
  • As face-to-face education becomes difficult due to the spread of COVID-19, the use of e-learning content and virtual training is increasing. In the case of information security education, practice to learn response techniques is important, so simulation hacking and vulnerability analysis activities have been supported as virtual training for a long time. In order to increase the educational effect, contents should be designed similar to real situation, and learning activities to achieve the learning goals should be designed. In addition, excellent functions and scalability of the system supporting learning activities are required. The researcher developed an LMS evaluation index that supports non-face-to-face education by considering the key elements of non-face-to-face education and training. The developed evaluation index was applied to the information security education platform to verify its practical utility.

Correlation between Tutor, Peer, Self-Evaluation and Paper Test in Problem-Based Learning (문제중심학습에서 교수평가, 동료평가, 자기평가와 지필시험과의 관계)

  • Kim, Soo-Jin;Kim, Seong-Hyuk
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.7
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    • pp.275-283
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    • 2017
  • The purpose of this study is to investigate the evaluation scores among various evaluators such as tutor, peer, and self evaluation, the lenience and central tendency among these various evaluators, and the correlation between evaluation scores among the various evaluators and the paper test score in the Problem-Based Learning (PBL). For the research, tutor, peer, and self evaluations were carried out with PBL effectiveness evaluation tool for the 105 nursing students taking classes using PBL, and paper test was conducted after the PBL class ended. The collected data were analyzed by SPSS WIN (V. 12.0). The study results showed that peer and self evaluation scores were higher than tutor evaluation score. Also lenience and central tendency were higher and stronger in peer and self evaluation than in tutor evaluation. Paper test score had a significant correlation with tutor evaluation score, but not with peer or self evaluation scores.

Design and Implementation of Evaluation System for Mastery Learning (완전학습을 위한 평가시스템 설계 구현)

  • 박재현;박덕원
    • Journal of the Korea Computer Industry Society
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    • v.5 no.4
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    • pp.481-490
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    • 2004
  • Today, most education activities in the junior or senior schools are connected with evaluation. In fact, the evaluation to be accomplished is not the practice of college or university entrance examination but the evaluation analysis of studies accomplishment. In this program, students process their teaming contents according to their level, and they evaluate the accomplishment of learning by themselves. Through the various analysis of evaluation, students who are not in the appropriate level get into the learning plan of low level course. This study makes them notice the lack of teaming ability in time and proposes proper evaluation system which offers right feedbacks and various analysis information for themselves.

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