• The Korean Journal of Applied Statistics
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• v.34 no.3
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• pp.329-345
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• 2021

Recommender systems use data from customers to suggest personalized products. The recommender systems can be categorized into three cases; collaborative filtering, contents-based filtering, and hybrid recommender system that combines the first two filtering methods. In this work, we introduce and compare deep learning-based recommender system using autoencoder. Autoencoder is an unsupervised deep learning that can effective solve the problem of sparsity in the data matrix. Five versions of autoencoder-based deep learning models are compared via three real data sets. The first three methods are collaborative filtering and the others are hybrid methods. The data sets are composed of customers' ratings having integer values from one to five. The three data sets are sparse data matrix with many zeroes due to non-responses.

• Journal of Practical Engineering Education
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• v.16 no.2
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• pp.143-150
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• 2024

With the development of AI, multimedia tools in education offer personalized learning environments, which foster individual competencies. This study aims to examine the effectiveness of smart education as perceived by learners through a case study of university writing classes utilizing multimedia learning tools, and to explore potential applications. To achieve this, a writing course incorporating various multimedia tools to promote interaction was designed and implemented over the course of one semester, targeting 42 university students. Through the semester, student reactions and survey results were analyzed to investigate the effects and satisfaction levels regarding the use of multimedia learning tools in writing instruction as perceived by students. The analysis revealed that multimedia-assisted writing classes effectively fostered learners' autonomy by focusing on individual needs, while also promoting interaction and encouraging spontaneous participation. Students reported recognizing the presence of diverse perspectives by comparing and communicating about each other's writing, leading to an expansion of their own thinking. In using ChatGPT, it was found that students attempted to refine their questions until they obtained the desired answers. They reported that this process deepened their understanding of the essence of the questions. These benefits led to results of high levels of students' active class engagement and satisfaction. This study contributes foundational and empirical data regarding the effectiveness and potential applications of learner-centered smart education as part of fourth industrial revolution integration research.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.1
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• pp.249-256
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• 2024

Machine learning-based intrusion detection methodologies require a large amount of uniform learning data for each class to be classified, and have the problem of having to retrain the entire system when adding an attack type to be detected or classified. In this paper, we use feature learning and hierarchical classification methods to solve classification problems and data imbalance problems using relatively little training data, and propose an intrusion detection methodology that makes it easy to add new attack types. The feasibility of the proposed system was verified through experiments using KDD IDS data..

• Journal of Korea Artificial Intelligence Association
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• v.1 no.2
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• pp.1-6
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• 2023

In this paper, we present a new method for classifying malicious URLs to reduce cases of learning difficulties due to unfamiliar and difficult terms related to information protection. This study plans to extract only visually distinguishable features within the URL structure and compare them through map learning algorithms, and to compare the contribution values of the best map learning algorithm methods to extract features that have the most impact on classifying malicious URLs. As research data, Kaggle used data that classified 7,046 malicious URLs and 7.046 normal URLs. As a result of the study, among the three supervised learning algorithms used (Decision Tree, Support Vector Machine, and Logistic Regression), the Decision Tree algorithm showed the best performance with 83% accuracy, 83.1% F1-score and 83.6% Recall values. It was confirmed that the contribution value of https is the highest among whether to use https, sub domain, and prefix and suffix, which can be visually distinguished through the feature contribution of Decision Tree. Although it has been difficult to learn unfamiliar and difficult terms so far, this study will be able to provide an intuitive judgment method without explanation of the terms and prove its usefulness in the field of malicious URL detection.

• International Journal of Computer Science & Network Security
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• v.23 no.4
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• pp.32-38
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• 2023

Blackboard provides a collaborative environment for teaching in terms of assessment and communication and can improve learning outcomes. To evaluate the Blackboard use of faculty members at Umm Al-Qura University, data were collected from two channels: statistical reports issued by the university and an online questionnaire. The questionnaire survey respondents were 187 faculty members from all colleges in the university. The findings show that most faculty members did not use Blackboard before the pandemic; therefore, the sudden conversion to the use of Blackboard required intensive training courses. In addition, accompanying Blackboard use with other applications such as WebEx is preferable, especially for administrative tasks such as departmental board meetings and seminars.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.1
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• pp.27-36
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• 2020

The popularization of smartphones allows people to instantly get the information that they want, through mobile apps, including financial services, movies and public transportation reservations, games and shopping. Furthermore, leisure activities through overseas travel are increasing due to the improvement of the living standards of people. These increases in overseas travel and the use of mobile apps lead to the increased use of mobile travel apps when booking tour packages. Although there are many studies on the usability assessment and user interface improvement for mobile apps, studies on the usability assessment for mobile travel apps are limited. We tested the usability for mobile travel apps to present some suggestions for improvements so that anyone can purchase travel packages easily and simply. We selected the top three mobile travel apps on Rankey.com that have different UIs. The heuristic method was used to evaluate usability. We present a better UI to allow users to use the app functions more easily by analyzing user interaction, ease of learning, readability, efficiency, and satisfaction for the entire use.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.33-42
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• 2013

The study looks for keys to provide development direction of digital textbooks based on educational meaning and roles for increasing satisfaction of teacher and student uses in educational activities. In the paradigm shift toward learner-centered pedagogy, digital textbooks have been actively discussed in exploiting the pedagogical ideas, such as multimedia learning, self-regulated learning, deeper learning, and collaborative learning, offered by the technology. In the study, we discuss the concept and historical background of digital textbooks based on the changes of pedagogical paradigm, and then we discuss fundamental functionality, effectiveness, physical and psychological impact, and cognitive aspects to empower the use of digital textbooks in public education system.

• Journal of Korea Game Society
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• v.8 no.2
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• pp.107-118
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• 2008

The world is changing fast from the information society to the knowledge society as the amount of knowledge exploded over through development of the information communication technology. Much efforts to use serious fames for students' learning is being made actively via international and domestic. It is expected that the results of this study would suggest how to utilize serious games in learning and training. The purpose of this study is to totally understanding of serious games that made to achieve educational goal based on specific character of game in which make flow, goal achievement, satisfaction. For this, introduce the game-based learning model to apply education and training, and trends development of serious games.

• The Journal of Korean Association of Computer Education
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• v.11 no.6
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• pp.29-37
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• 2008

The purpose of this study is to examine the effect of Student-centered Narrative Learning Program on Information ethics. Though, nowadays, the negative aspects of use of Computer and Internet have been rising as a big issue and there are remarkable concern about it, especially in school. There are still many difficulties to teach it to student due to the lack of adequate curriculum, contents and teaching method. In this study, we developed the Narrative learning program based on learners' experiences. The program involves course of discussion and exploration to seek for solution. The result of the study is that students could make a plan for practice and their Information ethic attitude was improved.

• Journal of The Korean Association For Science Education
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• v.24 no.4
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• pp.687-708
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• 2004

The purpose of this study is to investigate the relationships between cognitive conflict and students' causal attributions and to find out what kinds of attributions affect successful resolution of cognitive conflict in learning physics. Twenty-nine college students who attended a base general physics course took an attribution test and a conceptual pretest related to action and reaction concept. Of these, twenty students who revealed alternative conceptions were selected. They were confronted with a discrepant demonstration and took part in the cognitive conflict level test, a posttest, and delayed posttest. Those students who experienced high levels of cognitive conflict were selected and interviewed to find out what kinds of attributions affect resolving the conflict. When confronted with the discrepant event, the students who attributed success outcomes to "effort" experienced higher levels of cognitive conflict than those to "task difficulty." However, those students who revealed high levels of cognitive conflict and attributed success outcomes to effort did not always produce conceptual change. They had different perspectives on effort and conducted different effort activities to resolve the cognitive conflict. In addition, these effort activities appeared to include their motivational beliefs, metacognitive and volitional strategies. The results of this study indicate that in order for the conflicts to lead to change, students need to have the perspective on effort implying the use of the self-regulated learning strategy and to conduct effort activities based on them. Beyond cold conceptual change, this article suggests that there is a management strategy of cognitive conflict in the classroom context.