• Journal of Engineering Education Research
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• v.26 no.6
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• pp.51-61
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• 2023

In this study, the effects of pre-learning attitude on learning participation and academic achievement was analyzed when applying the flipped learning methodology to engineering subject education. The modified PARTN teaching and learning model was applied, and pre-class survey, assessment on learning in pre-class, and post-class survey were conducted to analyze the effectiveness of flipped learning. The results were analyzed for 24 students who took the applied thermodynamics lecture. They were asked to take the course with the videos provided in the pre-class stage, and a pre-learning assessment was conducted to measure the completeness and understanding of the learning. As a result of the study, it was found that students with relatively excellent learning ability had excellent pre-learning evaluation results and excellent final academic achievement. In addition, the lower the pre-learning completion rate within the pre-learning period or the higher the learning rate using mobile devices, the more difficult it was to faithfully complete pre-learning, leading to poor pre-learning evaluation results. Meanwhile, the survey revealed that conducting pre-learning assessments were helpful in encouraging individual learning. In addition, cases reflecting pre-learning evaluation results to course grades showed higher pre-learning evaluation results than cases not reflecting pre-learning evaluation results to course grades, and in flipped learning classes, pre-learning evaluations act as a factor that promotes pre-class learning.

• Journal of Service Research and Studies
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• v.11 no.4
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• pp.67-76
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• 2021

The importance of smart learning is increasing as the speed of development of non-face-to-face services increases due to the influence of COVID-19. This study is the user satisfaction evaluation model that utilizes the causal relationship between variables used for evaluation, focusing on the usability evaluation results of the learning disability intervention service (www.basic-edu.net) according to the need to evaluate the use satisfaction of the smart learning system. To this end, theoretical studies were conducted on smart learning and learning disability intervention services, www.basic-edu.net, usability evaluation of learning disability intervention systems, and use satisfaction evaluation models. And based on the results, a hypothesis was presented on the user satisfaction evaluation model of the smart learning system. The experimental method allowed 40 students and parents across the country to use the www.basic-edu.net service and was evaluated for its usability. In addition, using this data, the hypothesis was verified using regression analysis based on four variables: ease of use, interest, self-learning, and satisfaction with use. As a result of the hypothesis verification, it was found that the causal relationship of all hypotheses from H1 to H4 was significant.

• Electronics and Telecommunications Trends
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• v.34 no.1
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• pp.98-110
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• 2019

Machine learning has been applied to medical imaging and has shown an excellent recognition rate. Recently, there has been much interest in preventive medicine. If data are accessible, machine learning packages can be used easily in digital healthcare fields. However, it is necessary to prepare the data in advance, and model evaluation and tuning are required to construct a reliable model. On average, these processes take more than 80% of the total effort required. In this study, we describe the basic concepts of machine learning, pre-processing and visualization of datasets, feature engineering for reliable models, model evaluation and tuning, and the latest trends in popular machine learning frameworks. Finally, we survey a explainable machine learning analysis tool and will discuss the future direction of machine learning.

• 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.

• The Mathematical Education
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• v.43 no.3
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• pp.291-307
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• 2004

This study focused on the developing a system of computer adaptive diagnosis and instruction(CADI). This system is a conceptual model that connected learning with assesment by using new media such as computers, multimedia, and new technologies. In this conceptual model, adaptive diagnosis means tailored or customized diagnostic evaluation, and adaptive instruction implies tailored or customized instruction. The connection between learning and assesment suggests that they are closely related to determine following learning contents and learning methods. CADI's expected effect are 1) it can contribute to real learning of core concept, 2) it can enlarge the educational opportunities, 3) it can help students study by student himself and learn media literacy, 4) information for evaluation functions more essential roles, 5) it is possible to work cooperatively with any other school subject.

• The Journal of the Korea Contents Association
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• v.3 no.3
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• pp.1-10
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• 2003

In this paper, we research on an evaluation model and method for the teaching and loaming using ICT. There are 8 types information search, information analysis, information guidance, collaboration research, discussion with expert, discussion by the web, pen pal by the web, information production in the teaching and teaming using ICT. we propose an evaluation model and method for information search and information analysis which teachers frequently use. Because an evaluation model and mend for the teaching and learning using ICT doesn’t exist, I expect that the evaluation model and method proposed in this paper is effective in the teaching and loaming using ICT.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.4
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• pp.135-144
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• 2019

In this study, BSC model of center for teaching and learning was developed using balanced scorecard suitable for non-profit organization. Firstly, relevant literature surveys and evaluation indicators of various CTL and institution with similar characteristics were examined. Next, a draft BSC model was designed through interviews of specialists. Lastly, the BSC model was proposed by verifying the content validity of the evaluation model by conducting two Delphi surveys. The BSC model of CTL has 4 perspectives: resource, customer, internal process, learning and growth, 9 critical success factors: 2 factors in resource, customer and learning and growth perspectives, 3 factors in internal process perspective, and 23 key performance Indicators: 4 indicators in resource and learning and growth, 7 indicators in customer perspective, 8 indicators in internal process perspective. The implications of this study through the results were as follows: firstly, the proposed BSC model showed an evaluation model suitable for a non-profit organization. Second, the BSC model was linked to the organization's mission and vision. Third, it could contribute to the long-term development of CTL. Lastly, if it could be applied to management, and evaluated, it is expected to play a role of providing basic data for the budget support and spread of the university.

• Journal of Engineering Education Research
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• v.23 no.2
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• pp.24-30
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• 2020

This paper proposes the approaches to the evaluation of learning using concepts of artificial intelligence. Among various techniques, deep learning algorithm is employed to achieve quantitative results of evaluation. In particular, this paper focuses on the process-based evaluation instead of the result-based one using face expression. The expression is simply acquired by digital camera that records face expression when students solve sample test problems. Face expressions are trained using convolutional neural network (CNN) model followed by classification of expression data into three categories, i.e., easy, neutral, difficult. To substantiate the proposed approach, the simulation results show promising results, and this work is expected to open opportunities for intelligent evaluation system in the future.

• Journal of the Institute of Convergence Signal Processing
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• v.10 no.1
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• pp.23-31
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• 2009

Supporting of the user-wanted teaching&learning functions is an important factor to improve the learning effects in a e-learning system. However, most methods are not enough to refer a model for supporting a teaching&learning function in a planning, development, operation, and evaluation. Accordingly, we propose the specified reference model for supporting a teaching&learning function in the web-based e-learning system. To verify the validity of the proposed system, we consulted the students experienced in e-learning system. As a results, The proposed specified reference model can be expected more $11%{\sim}23%$ effectiveness improvement than that of their experienced in the previous system. Also, as the pre-evaluated results using the teaching&learning services supporting degree by the proposed reference model, those measurements are very similar to the services requirement degree of their experienced in e-learning system.

• Journal of Engineering Education Research
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• v.25 no.6
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• pp.69-80
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• 2022

In this study, the application of flipped learning methodology to thermodynamics in mechanical engineering was examined, and how university students view flipped learning and the effects of flipped learning were analyzed. To analyze the effects of flipped learning, pre-class survey, assessment on learning in pre-class, team activities during class, and post-class survey were conducted. The analysis was also conducted on 33 students who took the thermodynamics course in mechanical engineering, and the PARTNER flipped learning model was applied to the class. The results of this study are as follows; In the preliminary survey, the students expected that the flip-learning class with team activities and teaching between team members would be helpful in improving their learning. In addition, students recognized that cooperative learning through a team was helpful for learning. The case reflecting the result of pre-learning evaluation to the subject grades showed higher pre-learning evaluation results than the case not reflecting the result of the pre-learning evaluation to the subject grades, and it was found that the pre-learning evaluation was acting as a factor to promote learning in pre-class. In post-class survey, the satisfaction with the flipped learning class was high, indicating that the effectiveness of the flipped learning class applied to the thermodynamics class was excellent.