• Journal of information and communication convergence engineering
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• v.14 no.1
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• pp.45-50
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• 2016

Gait-based classification has gained much interest as a possible authentication method because it incorporate an intrinsic personal signature that is difficult to mimic. The study investigates machine learning techniques to mitigate the natural variations in gait among different subjects. We incorporated several machine learning algorithms into this study using the data mining package called Waikato Environment for Knowledge Analysis (WEKA). WEKA's convenient interface enabled us to apply various sets of machine learning algorithms to understand whether each algorithm can capture certain distinctive gait features. First, we defined 24 gait features by analyzing three-axis acceleration data, and then selectively used them for distinguishing subjects 10 years of age or younger from those aged 20 to 40. We also applied a machine learning voting scheme to improve the accuracy of the classification. The classification accuracy of the proposed system was about 81% on average.

• Journal of Korean Elementary Science Education
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• v.36 no.4
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• pp.367-378
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• 2017

Because the lessons of 'our body' are based on indirect experiences and simple experiments, various methods are needed to improve the learning effect. In this study, seventeen AR contents were created to be used in five subjects in the 5th grade elementary school. The learning contents implementation were made using QCAR (QualComm's Augmented Reality) and Unity 3D (Unity 3D) program, which are augmented reality software development kits (SDKs). In order to find out the applicability, we applied the developed contents to one grade 5 classroom equipped with internet environment. Participants were asked about their perception of the program and interviewed. As a result, the developed AR learning contents appeared to be available. It was expected to help improve learning and was pointed out that improvement of internet condition and development, also, was needed expansion of various contents should be complemented.

• Journal of Distribution Science
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• v.13 no.6
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• pp.25-33
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• 2015

Purpose - This paper's goal is to assess and promote several good teaching product designs and several learning environments. The paper discusses research product design learning and management. Research design, data, and methodology - As part of information science and technology, a school uses several teaching networks for auxiliary teaching, taking several designs as the teaching foundation, and creating multimedia curricula. Results - The results indicate that in the best learning designs and environments, the learner can maintain a high interest, which not only attracts all levels in the schools, but also has a pivotal influence on teaching around the world. The research study answers the question, was the atmosphere already luxurious? Conclusions - This study introduces several methodologies that are widely used for experimental processes. Using multi-criterion decision-making technology in studies of language product evaluation systems, the language teaching quality and space design is developed, and the language classroom learning system, the machine operation, the classroom environment design method, etc., conform to specifics of the study, the best choices, the most effective utilization, and are the most efficient.

• Journal of Information Technology Services
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• v.22 no.1
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• pp.1-14
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• 2023

This paper aims to share the course, performance and implications of Project-Based Learning (PBL) education in healthcare data science (HDS). The HDS team of the business group of Soonchunhyang University, which was selected for the health care field of 'University Innovation Project', considered that the health care IT-based education of the current university differs greatly from the rapidly changing health care 3.0 environment of the fourth industry, and emphasized the PBL practice-oriented specialization program as a learning model. The PBL focused on self-directed learning experiences, real analysis problems, and team-oriented classes. In other words, it was implemented with three specialized strategies: 'Field Inside Education', 'Fusion-type Track Education', and 'Training to strengthen resilience and change response'. This collaborative, practical learning experience, etc. resulted in significant results. The results were recognized as being rated A by the Korea Research Foundation and the comprehensive evaluation, and the results were significantly elevated through the analysis of the student survey and the results index.

• Educational Technology International
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• v.19 no.1
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• pp.93-122
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• 2018

It is crucial to understand the characteristics of learner questioning due to the effects it has on learning. This study focuses on the effects of middle school students questioning on their academic achievement in an online inquiry learning environment. A survey of 827 middle school students was conducted; the students took part in an online math and science program offered by a center for the gifted. Throughout the survey, learner questioning was analyzed, and its correlation with academic achievement was investigated. An analysis was based on questioning categories of a low- and high-level questions from previous studies. Through the survey, it was found that the number of learner questions asked in the online environment was small, but the number of low- and high-level questions were almost equal. Secondly, the higher the academic achievement level of the student, the higher the possibility they would ask either low- or high-level questions. Lastly the group of students in both low- and high-levels of questioning earned the highest average scores on formative evaluations and inquiry tasks. This indicates that regardless of the level of questions, the act of questioning itself is highly related to the academic achievement. However, in the case of advanced learning projects, the quality of questioning and high-level questioning affected the academic achievement of students. Based on these results, implications for the encouragement of learner questioning and support for asking high-level question are suggested.

• Journal of the Korean Chemical Society
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• v.59 no.2
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• pp.156-163
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• 2015

In Malaysia, the students' poor performance in mathematics and sciences needs immediate attention and remedies. In order to tackle this problem, an active learning environment that encourages students' question-asking capability must be molded. Transformation from traditional teacher-based approach to active-learning classroom is the key to develop question-asking capability. The classroom activity that the authors used in this study is based on the uncritical inference test to promote students' deeper thinking which encouraged students to verify facts that was previously learnt in classroom through group discussion activity. Three sets of uncritical inference test were developed and applied to Malaysian college course of basic organic chemistry. Students' answers to the impact of using uncritical inference test with a group discussion on learning and communication skills were positive.

• International Journal of Computer Science & Network Security
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• v.22 no.8
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• pp.145-152
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• 2022

The current study investigates the effects of an interactive learning environment on EFL students' vocabulary acquisition and reading comprehension skills. The study utilized a quasi-experimental design. The sample consisted of 41 students enrolled in the English program at Umm Al-Qura University studying Reading in EFL course in Summer 2018/2019. The sample was randomly divided into two groups: A control group consisting of 21 students and an experimental group of 20 students. The results revealed statistically significant differences at (α≤ 0.01) between the mean scores of the experimental group and the control group in the posttest of the vocabulary test and the reading comprehension test favoring the experimental group. Finally, the study concluded with a call for more studies on modern technologies in teaching EFL skills in the Saudi context.

• Journal of Information Science Theory and Practice
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• v.10 no.spc
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• pp.143-153
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• 2022

With the development of networks and the increase in the number of network devices, the number of cyber attacks targeting them is also increasing. Since these cyber-attacks aim to steal important information and destroy systems, it is necessary to minimize social and economic damage through early detection and rapid response. Many studies using machine learning (ML) and artificial intelligence (AI) have been conducted, among which payload learning is one of the most intuitive and effective methods to detect malicious behavior. In this study, we propose a preprocessing method to maximize the performance of the model when learning the payload in term units. The proposed method constructs a high-quality learning data set by eliminating unnecessary noise (stopwords) and preserving important features in consideration of the machine language and natural language characteristics of the packet payload. Our method consists of three steps: Preserving significant special characters, Generating a stopword list, and Class label refinement. By processing packets of various and complex structures based on these three processes, it is possible to make high-quality training data that can be helpful to build high-performance ML/AI models for security monitoring. We prove the effectiveness of the proposed method by comparing the performance of the AI model to which the proposed method is applied and not. Forthermore, by evaluating the performance of the AI model applied proposed method in the real-world Security Operating Center (SOC) environment with live network traffic, we demonstrate the applicability of the our method to the real environment.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.923-932
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• 2024

The purpose of this study is to explore the direction of teaching and learning in the era of science and technology. The conclusion is as follows: From the perspective of new materialism, the direction of teaching and learning first emphasizes the importance of learning experience. Second, a teaching method that emphasizes giving meaning is needed. Third, there is a need to consider various perspectives and backgrounds. The direction of teaching and learning in the era of phenomenology is, first, the meaning and meaning of learning is important. Second, it emphasizes the role of independent learners. Third, diverse experiences must be integrated. Fourth, a flexible approach is needed depending on the environment and situation. Rather than a fixed teaching method, it is necessary to use a variety of teaching strategies according to the situation and needs of the learner. From the perspective of actor network theory, the direction of teaching and learning needs to first embrace a variety of actors. Second, there is a need to understand the role of the mediator actor. Third, there is a need to emphasize the dynamic aspect of the network. Fourth, there is a need to emphasize interaction and giving meaning. Fifth, there is a need to strengthen interaction with technology. Sixth, there is a need to create a non-linear and open learning environment. The direction of society and teaching and learning presented in Trend Korea 2024 considers time as a precious resource in a divided society, and teaching and learning must adapt and develop in a useful direction in a changing environment.

• Journal of The Korean Association For Science Education
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• v.21 no.2
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• pp.264-278
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• 2001

The purpose of this study was to develop the web based instruction(WBI) program, to examine its effects on the science achievement, the attitude toward science, and students' perceptions on the WBI learning. The WBI program on the content of oceanography unit in Earth Science for high schools was developed using Namo 4.0, JAVA-script, Flash 4, Video Capture of SnagIt, Animation Shop graphic tools. The treatment group consisted of students who participated in the WBI program developed in this study, and the control group consisted of students who participated in the module instruction using self-learning materials. The results from this study were as follows: First, the scores of science achievement of WBI group were significantly higher than those of module group. There was not interaction effect of treatment and students' learning ability. Second, there were no significant difference in the scores of the attitude towards science learning between WBI group and module group, and there was not interaction effect of treatment and students' learning ability. Third, in the perception questionnaire of WBI learning, many students showed the WBI learning were good in terms of causing interaction between learners and web based learning materials including various images and animations. However there are several students who showed learning difficulties. For example they wonder which part is more important and what order is proper to study in hypertext environment.