• English Language & Literature Teaching
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• v.15 no.4
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• pp.75-94
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• 2009

This study was designed to assess demotivation factors and compare the factor between two secondary school student groups. It furthermore examined how the factors related to students' L2 proficiency. A 31-item questionnaire was completed by 407 junior (JH) and senior high school (SH) students. Five factors were extracted through the principal axis factoring: Teachers' competence and teaching styles, Dissatisfaction with English classes and grading system, Difficulty of learning English, Lack of motivation and interest in learning English, and Inadequate learning contents. Although both JH and SH students did not perceive their English teacher as a strong attribution of demotivation, Difficulty of learning English and Dissatisfaction with English classes and grading system were the two strongest demotivating factors. When compared the overall mean scores of each factor between JH and SH groups, significant differences were found in all factors except Factor 4, with SH students reporting stronger demotivation. JH students attributed their demotivation to Difficulty of learning English, while SH students attributed that to Dissatisfaction with English classes and grading system. Both groups tended to attribute their demotivation to external forces. The study also showed that several demotivation factors related negatively to L2 proficiency.

• Journal of the Korean School Mathematics Society
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• v.4 no.1
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• pp.125-136
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• 2001

This research is about how the adapted learning of descriptive assessment problems influence on the extension of the ability of the students. As a result, adapted learning of descriptive assessment problems totally led to positive effect, and according to the analyses of behavioral objectives divided into knowledge, comprehension and problem solving, they had more effect on the ability of students' problem solving. Learning attitude of the students were changed into self-centered learning attitude and interest on the subject of mathematics were highly increased since the research had started. If we adapt this research to the learning of mathematics after we develop various problems that can develop creativity, I'm sure that it will be a effective way for both extension of the ability and problem solving ability of the students.

• Journal of the Korea Society of Computer and Information
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• v.22 no.1
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• pp.153-159
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• 2017

In recent years there has been a rise in the use and interest of the flipped learning as a teaching and learning paradigm. The flipped learning model includes any use of Internet technology to enrich the learning in a classroom, so that a professor can spend more time interacting with students instead of lecturing. In the flipped model, students viewed video lectures online outside of class time. Students then performed two kinds of assignments, a teamwork assignment and an individual work assignment, through the class time. In this paper, we propose a flipped educational model for a college class. This experimental research compares class of college algorithm using the flipped classroom methods and the traditional lecture-homework structure and its effect on student achievement. The result data of mid-term exam and final exam were analyzed and compared with previous year data. The findings of this research show that there was not a significant difference in the scores of student between two lecturing methods. The survey result and lecture evaluation by students show that students are in favor of the flipped learning.

• Journal of Korean Association for Spatial Structures
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• v.19 no.1
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• pp.93-100
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• 2019

There has been considerable recent interest in deep learning techniques for structural analysis and design. However, despite newer algorithms and more precise methods have been developed in the field of computer science, the recent effective deep learning techniques have not been applied to the damage detection topics. In this study, we have explored the structural damage detection method of truss structures using the state-of-the-art deep learning techniques. The deep neural networks are used to train knowledge of the patterns in the response of the undamaged and the damaged structures. A 31-bar planar truss are considered to show the capabilities of the deep learning techniques for identifying the single or multiple-structural damage. The frequency responses and the elasticity moduli of individual elements are used as input and output datasets, respectively. In all considered cases, the neural network can assess damage conditions with very good accuracy.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.5
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• pp.505-510
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• 2016

Interest of augmented reality increases rapidly due to development of recent technology. Augmented reality offers learners various satisfactions by using the sense of sight, hearing, touch, etc. and enhances immersion and interest. This paper presents a drawing system for toddler's art education using augmented reality. This system helps toddlers draw pictures easily and can teach toddlers art learning effectively at low cost as well as provide immersion, achievement, and interest.

• English Language & Literature Teaching
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• v.16 no.3
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• pp.183-206
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• 2010

The purpose of this study was to investigate whether using English newspapers as supplementary teaching materials for the present textbook could increase students' English reading ability, interest in class and their willingness to take an active part in activities. Schools in rural areas, compared to urban schools, did not have the appropriate resources to teach students effectively. Understanding the disadvantages of the students in rural areas, one idea was to use newspapers to inspire the students to reach outside their local community and incorporate new styles of English and cultural aspects into their lives. The participants were 2nd grade high school students in the rural area. The experimental group received reading lessons with the textbook and English newspapers. They were also encouraged to make their own portfolios. The control group received reading lessons with the textbook and other supplementary materials. Before and after the experiment, reading comprehension tests as well as the questionnaires of interest and self-directed learning were administered. The results of this study were as follows: First, students' English reading ability was significantly improved in the experimental class using English newspapers. Second, students' interest and self-directed learning were positively increased in the same class above.

• Journal of The Korean Association For Science Education
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• v.12 no.2
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• pp.55-65
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• 1992

The purpose of the study is to compare the learning contents of theme acids and bases that are commonly dealed with in elementary, middle and high schools m Korea and to investigate the acid-base-concepts of secondary students. The results of the study were as follows: 1) Many students did not have an interest in the chemistry and they pointed out the necessity of many experiments and practices and its application to the practical life. 2) It is found that most of textbooks used in the elementary school are written to make the students have an interest in the science through the experiments and pratices. However the textbooks used in the secondary school are too theoretically written so that many students are likely to lose the interests in the chemistry. 3) Although students had already learned Arrhenius's acid-base-concept, many students tried to solve the question with Liebig's theory as a acid-base-concept. This misconception might be caused by learning by cramming and teaching too theoretically. Accordingly, it is necessary that the education of science is carried out to make the students have an interest in the science by providing the students with the much more experiments and practices and also applying it to the practical life.

• Hwankyungkyoyuk
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• v.22 no.1
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• pp.56-67
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• 2009

The purpose of this study is to investigate the effect on the middle school students' attitude toward environment and interest in regional ecology and environment problem with PBL. The experimental group was made up with 96 students who were sampled for this study, and PBL program was applied to this group. The controlled group consisted of 103 students who were sampled this study, and traditional teaching method was applied to this group. The result is as follows: First, there was a statistically meaningful difference in attitude toward environment between two groups(F=51.929, p<0.1). It shows that PBL is very effective in attitude toward environment. Second, there was a statistically meaningful difference in interest for regional ecology and environment problem between two groups(F=9.707, p<0.1). It shows that PBL is an effective way to take learners' interest in regional ecology and environment problem. Third, The interview result shows that students who were applied to PBL comprehensed causes, solution and importances of the environment problem. Furthermore, the self-directed learning in PBL can make learners control their learning.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.415-418
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• 2016

The core of IT Convergence Education is being made through educational SW, SW purpose of education has been focused on improving the CT(Computational Thinking). In this paper, Programming Education Using Unity3D is able to affect learners of computational thinking and learning interest. After configure the experimental and control groups and check the identity of the learner for Influence on it. The impact on the education using Unity3D computational thinking and learning interest of students was measured. This paper proposes a compliance that Programming Education Using Unity3D is an intermediate step of utilizing the EPL software training, and pure text language.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.176-184
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• 2023

Points of interest (POIs) are widely used in tourism recommendations and to provide information about areas of interest. Currently, situation judgement using POI and GPS data is mainly rule-based. However, this approach has the limitation that inferences can only be made using predefined POI information. In this study, we propose an algorithm that uses POI data, GPS data, and schedule information to calculate the current speed, location, schedule matching, movement trajectory, and POI coverage, and uses machine learning to determine whether to stay or go. Based on the input data, the clustered information is labelled by k-means algorithm as unsupervised learning. This result is trained as the input vector of the SVM model to calculate the probability of moving and staying. Therefore, in this study, we implemented an algorithm that can adjust the schedule using the travel schedule, POI data, and GPS information. The results show that the algorithm does not rely on predefined information, but can make judgements using GPS data and POI data in real time, which is more flexible and reliable than traditional rule-based approaches. Therefore, this study can optimize tourism scheduling. Therefore, the stay detection algorithm using GPS movement trajectories and POIs developed in this study provides important information for tourism schedule planning and is expected to provide much value for tourism services.