• Journal of Information Technology Applications and Management
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• v.17 no.2
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• pp.71-90
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• 2010

Electronic learning(or e-learning) has created hype for companies, universities, and other educational institutions. It has led to the phenomenal growth in the use of web-based learning and experimentation with multimedia, video conferencing, and internet-based technologies. Many researchers are interested in the factors that affect to the performance of e-learning or e-learning services. In this sense, this study is aimed at proposing e-learning system reuse prediction models in which e-learner intention to reuse influence factors(i.e., system accessibility, system stability, information clarity, information validity, self-regulated efficacy, computer self-efficacy, perceived usefulness, perceived ease of use, flow, and parental expectation) affect e-learner intention to reuse positively. A web survey was conducted for the full members of the e-learning education institute A in Seoul, Republic of Korea, an exclusive e-learning company that provides real time video lectures via the desktop conferencing system. The web survey was conducted for 20 days from November 5, 2009, through the e-learning web site of the company A. In this study, three data mining techniques were used : the multivariate discriminant analysis, CART, and C5.0 algorithm. This study was conducted to provide the e-learning service providers, e-learning operators, and contents developers with marketing and management strategies for improving the e-learning service companies, based on the data mining analysis results.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.145-166
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• 2021

M-learning is one of the most important modern learning environments in developed countries, especially in the context of the COVID-19 pandemic. According to the Ministry of Education policies in Saudi Arabia, gender segregation in education reflects the country's religious values, which are a part of the national policy. Thus, it will help many in the target audience to accept online learning more easily in Saudi society. The literature review indicates the importance to use the UTAUT conceptual framework to study the level of acceptance through adding a new construct to the model which is Mobile Application Quality. The study focuses on the end user's requirements to use M-learning applications. It is conducted with a qualitative method to find out the students' and companies' opinions who working in the M-learning field to determine the requirements for the development of M-learning applications that are compatible with the aspirations of conservative societies.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.2
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• pp.1-10
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• 2023

Digital transformation is accelerating in all industries due to COVID-19 and rapidly developing ICT technology. In the field of education, teaching methods that combine various IT devices and software technologies are being applied. The education requires a future learning environment using EduTech such as digital learning tools. We perform a case study on the use of digital learning tools for effective class. In this study, digital learning tools were applied to an university class. The class was held in the second semester of 2022 at A university, with 67 students participating. In our case, QuizN, Mentimeter, and Google Forms were applied as digital learning tools. In order to evaluate our case, a survey was conducted using the Google Questionnaire. From the results of the survey evaluation, more than 85% of all survey questions answered that they were satisfied. From it, digital learning tools were shown to be effective in class operation.

• Journal of Engineering Education Research
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• v.13 no.6
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• pp.14-23
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• 2010

Whether the engineering department of universities employs ideal usage of e-learning or not needs to be investigated as many engineering departments diversify the use of the e-learning elements for educational purpose. Applying the teaching and learning methods and characteristics would lead to better strategies which are applied to development of contents and deployment of the e-learning courses. This study examines the characteristics and approaches of the usage of e-learning elements used by some instructors who use multimedia contents in offline teaching and learning environment. The results of this study shows that the e-learning elements assist the face-to-face course and the interactions are manifested in the classroom rather than in online setting. Lecture, hands-on-practice, simulation, and PBL(Problem-based learning) are turned out to be the major teaching and learning methods. This study signifies the need for use of various teaching and learning methods by the instructors and provision of PBL environment.

• Journal of The Korean Association of Information Education
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• v.16 no.3
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• pp.309-318
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• 2012

Smart learning is a new trend in education following E-learning, U-Learning, and M-Learning. In June 2011, the Korean government announced the education policy on promoting smart learning, and presented the vision and the direction for the smart learning. However, it seems that the current government-directed education policy on smart learning has promoted the unconditional implementation of the policy without taking into consideration of a variety of factors, such as the reality of the classroom, educational environment, educators' competencies to use smart learning, and so on. The aims of this study are to examine the reality of the classroom and the educational environments for smart learning, and to take a survey on the elementary teachers' use of the smart learning. In addition, the study attempted to investigate the teachers' understanding of the various factors regarding the use of smart learning. On the basis of the results of the survey, the problems of implementing smart learning in the classroom were analyzed, and then some suggestions were made to pave the way for the more improved and systematic smart learning.

• School Mathematics
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• v.4 no.2
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• pp.261-282
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• 2002

This study intended to search for the way of NIE use as follows: 1) Setting up theoretical base about the way of NIE use to math loaming in primary school. 2) Analyzing the course mathematising through NIE use in math learning in practice. 3) Searching for the way of NIE use to aim at mathematising. As the result, this presented NIE model for mathematising according to the character of each step of the mathematising course. This paper says two things : The first, the way for using learning materials as reonstructing articles of newspapers to teach math learning 1) is searched for each information, scrapped to materialize. 2)is to extract the contents of NIE teaming available to the field and the unit of math curriculum. 3) searches for and applies the model for math NIE teaming. 4) makes up learning materials for each level using articles and presents the matters of deepening and supplement suitable for students. The second, the way for teaching math NIE with a view to helping students' mathematising during the course of teachers' math teaming. 1) reconstructs materials chosen by students' reality. 2) should offer students' communication and abundant context materials which mathematical model is possible. 3)needs to guide students to have motivation teaming so that they can mathematise their real matters by rediscovery 4) progresses mathematical activity using newspapers so that they can apply to new reality by applying informed Idea.

• International journal of advanced smart convergence
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• v.11 no.4
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• pp.68-80
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• 2022

Since the launch of AI, technology development to implement complete and sophisticated AI functions has continued. In efforts to develop technologies for complete automation, Machine Learning techniques and deep learning techniques are mainly used. These techniques deal with supervised learning, unsupervised learning, and reinforcement learning as internal technical elements, and use the Big-data Analysis method again to set the cornerstone for decision-making. In addition, established decision-making is being improved through subsequent repetition and renewal of decision-making standards. In other words, big data analysis, which enables data classification and recognition/recognition, is important enough to be called a key technical element of AI function. Therefore, big data analysis itself is important and requires sophisticated analysis. In this study, among various tools that can analyze big data, we will use a Python program to find out what variables can affect addiction according to smartphone use in a decision tree environment. We the Python program checks whether data classification by decision tree shows the same performance as other tools, and sees if it can give reliability to decision-making about the addictiveness of smartphone use. Through the results of this study, it can be seen that there is no problem in performing big data analysis using any of the various statistical tools such as Python and R when analyzing big data.

• Korean Journal of Health Education and Promotion
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• v.21 no.1
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• pp.259-283
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• 2004

This is an quasi experimental study using nonequivalent pre-test post-test control design for the development of the CAI program and an analysis of its effects, for nursing college students to learn emergency patient triage. This program was developed from November, 2000 to middle of September, 2001 with the aid of curriculum design experts. The subjects of this study were 86 randomly sampled freshmen students of C nursing college in Ulsan. They were divided into 45 for the test group and 41 for the control group. The CAI program for the learning of the emergency patient triage has been developed on the basis of Merrill's Component display theory and Keller's ARCS theory and through the curriculum design process of Hannafin ＆ Peck. It has also been done with the use of Tool book 8.0, the multimedia righting tool. The experiment to verify the effect of the CAI program has been carried on from September, 20 to October, 8 2001. There were six hypotheses to accomplish the purpose of the study, and the analysis of the data was done with the use of SPSS/win program. As a result of this study, the author concluded that this CAI program is an effective mediation method to promote the learning accomplishment and learning motive for nursing college students. Therefore in the field of emergency nursing education, it would be possible to use this program as means for widening the possibility of self-learning and to promote individual learning of nursing college students.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.416-434
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• 2022

This study, for learners using online and offline tools, understood the structural relationship of user experience of smart learning app on continuous use intention through the technology acceptance model, and classified the learning type characteristics. In addition, based on the experience of using the smart learning app, we explored ways to improve the design of the user experience design for learning tools and contents. For this purpose, the usage perception of 84 middle and high school students of the developed smart learning learning app was investigated after using it for 2 months, and the data were analyzed using the PLS structural equation technique. The main results of this study are as follows. First, system and content user experience had a significant effect on perceived usability and perceived ease of use, and the effect on continued use intention through attitude was significant. Second, there was a significant difference in the effect of system user experience on perceived usefulness in multi-group comparative analysis and gender group. In the preferred learning group, it was the path from perceived ease of use and perceived usefulness to attitude and intention to continue using that showed a significant path difference. Third, as a result of classifying the most commonly used learning types by the multidimensional scale method, the types separated into low dimensions were found to be four types: offline sync type, online sync type, ubiquitous learning type, and self-direct learning type.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.713-715
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• 2022

Video learning through YouTube has emerged as one of the most widely used instructional methods, yet relatively little research has been conducted on YouTube video users' willingness to use or behavior, so it is important to examine how to make and keep users' willingness to continue learning and to improve their retention rate for effective online learning. With reference to perceived value theory and utilizing an ECM perspective, the authors construct a model of YouTube video continuous learning intention and investigate the influence of perceived value and satisfaction on users' willingness to use YouTube videos for continuous learning.