• International Journal of Contents
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• v.5 no.2
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• pp.1-5
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• 2009

This study was to analyze important dimensions and its factors of micro level of e-learning determining the quality of e-learning. E-learning dimensions and their factors were identified and developed from the analytical review of related researches. From literature review and survey as well as expert interview, six categories of e-learning identified from this study were: 1) curriculum content, 2) usability, 3) instructional design, 4) evaluation -both process and results, 5) management, and 6) refinement and improvement. A total of thirty-seven factors determining the quality of the e-learning six categories were identified. The rank order and contribution rates for each categories and factors were calculated to explain how importantly they contribute to the quality of e-learning. Also three dimensions such as controlling the e-learning quality, e-learning fundamental dimension e-learning process dimension, and e-learning product dimension, were explained. This study suggests a useful guidance for e-learning quality and evaluation framework for better results.

• International Journal of Computer Science & Network Security
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• v.21 no.5
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• pp.243-255
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• 2021

This study aimed to identify the effectiveness of the use of distance-evaluation tools and methods among students with learning difficulties from the teachers' point of view, to achieve this goal. A scale was built, and the psychometric characteristics were validated. It consisted, in its final form, of 17 items distributed on four axes, in addition to three open questions. It was applied to a random sample of (149) teachers of students with learning difficulties in Makkah Region. The results showed that teachers' keenness to encourage students with learning difficulties, so that they would not feel frustrated with the distance learning process. It was also evident that teachers did not use achievement portfolios in the evaluation process. In connection with the appropriate evaluation methods, the majority indicated the use of work sheets and visual evaluation methods that rely on audio and visual skills, such as presenting videos, pictures, audio and games, and applying short objective tests. Among the proposals to improve evaluation methods and tools: Individual evaluation, attention to individual treatment, obligating personal attendance of students to school, splitting the required tasks, and not increasing the skills required to be mastered. As for the obstacles that teachers face: Lack of time, difficulty in communicating with students with distance learning difficulties and problems related to the Internet such as interruption, weakness, or lack of availability.

• 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 Digital Convergence
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• v.16 no.5
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• pp.239-245
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• 2018

So far, various researches have been conducted on evaluation of e-learning software, but subjective evaluation criteria are formed according to the classification presented from the viewpoint of the researcher rather than systematized form according to related standards. In addition, standards for software evaluation are continuously being supplemented for practical use, so it is urgent to establish evaluation bases by establishing evaluation criteria. Therefore, in order to establish the quality evaluation standard of e-learning software, this study analyzes the quality requirements of e-learning software based on the usability system among the quality characteristics of ISO/IEC 25000 series. This evaluation standard is distinguished by the fact that the evaluation standard of e-learning software that reflects the latest trend of related standardization has been established and practical utilization has been improved. It can be used effectively for quality evaluation and certification of e-learning software in the future.

• The Journal of Korean Association of Computer Education
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• v.21 no.5
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• pp.37-48
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• 2018

The 2015 revised national curriculum includes SW courses to improve computational thinking, and a variety of physical computing tools for learning are on sale for use in education. The purpose of this study is to provide a basis for selecting physical computing tool for learning suitable for learning situations and learning purposes, and to provide a reasonable basis for judging the choice of tools in the field. Delphi survey method was used as a reference method for developing evaluation criteria through 25 expert panels. As a result, the criterion of evaluation of the learning tool composed of 40 essential and 11 selection criteria for 7 domains was presented. In addition, the evaluation results of five kinds of learning tools commercialized through the evaluation criteria of the learning tool were analyzed. The evaluation criteria for the learning tools developed through this study are expected to help teachers select rational learning tools and help learning tool developers develop learning tools.

• The Journal of Korean Association of Computer Education
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• v.8 no.1
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• pp.55-63
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• 2005

Recently, web-based E-learning systems have entered the spotlight by providing new learning environments that break down spatial and temporal limitations. The key to building the web-based E-learning system is in determining how to effectively use the system and to evaluate the degree of learning achieved by the students that use it. In traditional off-line learning systems, we can evaluate students by counting how many questions, designed to evaluate their learning achievement, he or she answers correctly within a predetermined time limit. But this method would make individualized learning, a strong point of E-learning systems, impossible because these systems provide same learning strategy to all students even though they achieve a different level of learning. Therefore, in this paper, I will find any relationships between given test answers using fuzzy implication theory, I call these fuzzy correlations, and then generate evaluation results that are reflected in those relationships. I will compare the differences between this evaluation method and a traditional evaluation method where a student takes a test to evaluate his or her learning achievement after some learning period. Finally, I will discuss how we can use these results in individualized learning.

• Journal of The Korean Association of Information Education
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• v.9 no.2
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• pp.309-318
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• 2005

e-learning has been recently introduced in all educational domains and it has expanded rapidly in educational field. Blended learning, which has emerged with e-learning nowadays, is an exact example of a new paradigm. It has not only educational effects of traditional classroom learning, but it also has effects of e-learning which provides learner-centered classroom environment and removes barriers of time and space. This study looked into several e-learning contents evaluation criteria that were already studied, And arranged with the evaluation question item that can evaluate learning effectiveness of e-learning contents in elementary school through a questionnaire executed in elementary school teachers. And it used this evaluation question item and the study accomplishment results of an education ruler, and applied to learning effectiveness evaluation of e-learning contents. This paper will give future directions and assessment criteria of e-learning. Moreover, this thesis will provide theoretical and practical materials for developing e-learning contents to improve quality of blended learning.

• Journal of Digital Convergence
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• v.15 no.3
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• pp.55-64
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• 2017

This study identified the important categories and items about evaluation criteria of e-learning quality assurance by comparing evaluation criteria between Korea and France case. For deriving the conclusion, this research analyzed the Korea quality assurance case which is consist of success or failure for evaluation of quality assurance, and built the generic quality model of e-learning evaluation criteria. A generic model about evaluation criteria, categories, and item of e-learning quality assurance, which should be reflected on French quality criteria, were developed based on statistical approach. This research suggests a evaluation criteria which can be applied to African and Asian countries, that are related to AUF, as well as Korea. The result of this study can be applied to all organizations around the world which prepare for e-learning quality assurance, and at the same time it will be a valuable resource for companies or institutions which want to be evaluated e-learning quality assurance.

• Journal of Information Technology Applications and Management
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• v.15 no.2
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• pp.33-49
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• 2008

The purpose of this study is to find student factors associated with the students' evaluation of university teaching, and to provide a meaningful reference to policy-making of teaching evaluation. Based on the surveyed questionnaires from 232 students who participated in e-learning course. in combination with applying descriptive statistics, this study analyzes (1) the influences of students' pre-motivation level of student based-on ARCS theory on class satisfaction, (2) the influences of students' grade, attendance, and class involvement on class satisfaction, and (3) the influences of e-learning experience on students' pre-motivation level and class satisfaction. Result of this study shows that: (1) students' pre-motivation level including Attention(A), Relevance(R), Confidence(C), and Satisfaction(S) is positively correlated to students' evaluation for teaching, (2) students' grade, attendance. and class involvement are positively correlated to students' evaluation for teaching, and (3) students' e-learning experience is not related with students' pre-motivation level, whereas it is related with class satisfaction.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.553-560
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• 2022

The research of course-embedded learning evaluation method, which can be used to measure the competency of learners by evaluation of learning outcomes, has been performed for competency-based education in the university. In this paper, we propose an learning evaluation and adaptive feedback model based on learning outcomes, learning subjects, learning concepts graph, and an evaluation matrix. Firstly, we define the layered learning outcomes, a graph of learning subjects and concepts, and two association matric. Secondly, we define algorithms to calculate the level of learning achievement and the learning feedback to learners. We applied the proposed method to a specific course, "Java Programing", to validate the effectiveness of our method. The experimental results show that our proposed method can be useful to measure the learning achievement of learners and provide adaptive feedbacks to them.