• Journal of Practical Engineering Education
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• v.16 no.2
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• pp.151-157
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• 2024

Most of the existing game-based education programmes for lower grades are simple block-coding studies, and there is a lack of examples of programming-intensive classes. In this study, we implemented a Minecraft-based Python coding fundamentals class for 3 classes at a local elementary school during a 2-week school holiday. The learning programme was reorganised from the standard learning programme on the official website, such as building quests through LAN-PARTY and self-scripting in-game, to improve class interest and motivation. In addition, we analysed the satisfaction and preferences of the class topics through a survey, and obtained meaningful results for future educational program development. This study is significant as a basic research for the design and development of game-based educational programmes for all age groups.

• International Journal of Advanced Culture Technology
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• v.12 no.3
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• pp.148-158
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• 2024

We investigate Autism Spectrum Disorder (ASD), which is typified by deficits in social interaction, repetitive behaviors, limited vocabulary, and cognitive delays. Traditional diagnostic methodologies, reliant on expert evaluations, frequently result in deferred detection and intervention, particularly in South Korea, where there is a dearth of qualified professionals and limited public awareness. In this study, we employ advanced deep learning algorithms to enhance early ASD screening through automated video analysis. Utilizing architectures such as Convolutional Long Short-Term Memory (ConvLSTM), Long-term Recurrent Convolutional Network (LRCN), and Convolutional Neural Networks with Gated Recurrent Units (CNN+GRU), we analyze video data from platforms like YouTube and TikTok to identify stereotypic behaviors (arm flapping, head banging, spinning). Our results indicate that the LRCN model exhibited superior performance with 79.61% accuracy on the augmented platform video dataset and 79.37% on the original SSBD dataset. The ConvLSTM and CNN+GRU models also achieved higher accuracy than the original SSBD dataset. Through this research, we underscore AI's potential in early ASD detection by automating the identification of stereotypic behaviors, thereby enabling timely intervention. We also emphasize the significance of utilizing expanded datasets from social media platform videos in augmenting model accuracy and robustness, thus paving the way for more accessible diagnostic methods.

• Smart Structures and Systems
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• v.33 no.5
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• pp.333-347
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• 2024

There has been an increasing interest in the construction of smart buildings that can actively monitor and react to their surroundings. The capacity of these intelligent structures to precisely predict and respond to deflection is a crucial feature that guarantees both their structural soundness and efficiency. Conventional techniques for determining deflection often depend on intricate mathematical models and computational simulations, which may be time- and resource-consuming. Artificial intelligence (AI) algorithms have become a potent tool for anticipating and controlling deflection in intelligent structures in response to these difficulties. The term "deflection-aware smart structures" in this sense refers to constructions that have AI algorithms installed that continually monitor and analyses deflection data in order to proactively detect any problems and take appropriate action. These structures anticipate deflection across a range of operating circumstances and environmental factors by using cutting-edge AI approaches including deep learning, reinforcement learning, and neural networks. AI systems are able to predict real-time deflection with high accuracy by using data from embedded sensors and actuators. This capability enables the systems to identify intricate patterns and linkages. Intelligent buildings have the potential to self-correct in order to reduce deflection and maximize performance. In conclusion, the development of deflection-aware smart structures is a major stride forward for structural engineering and has enormous potential to enhance the performance, safety, and dependability of designed systems in a variety of industries.

• The Journal of the Korea Contents Association
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• v.14 no.8
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• pp.319-328
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• 2014

The purpose of this study was to investigate circadian rhythms, learning flow, and fatigue of college students. The differences in learning flow and fatigue according to the type of circadian rhythms were also examined. The study used a descriptive survey research design. The convenience sample consisted of 224 college students from five universities. The data were collected from May to June in 2013 using the following instruments: Morningness-Eveningness Questionnaire-Korean (MEQ-K), Flow State Scale, and Fatigue Assessment Inventory. The participants in the study were mostly put in neither-type (51.8%), and only 4.0% in morning-type. The morning-type students had higher learning flow scores and lower fatigue scores than the night-type students. The types of circadian rhythms measured by MEQ-K were compared to the subjective types of circadian rhythm which was based on the participants' self evaluation. There was a difference in the measured type and the subjective type in 32.1% of the participants. The findings of this study suggest that an intervention program to help college students accurately recognize their circadian rhythms might be effective in improving learning flow and decreasing fatigue.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.5
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• pp.605-610
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• 2018

The purpose of this paper is to develop evaluation methods in order to apply effective problem-based learning (PBL). To observe the effectiveness of a PBL system on learners and to comprehend the learning process of a PBL application, analysis of reflective journals and an evaluation questionnaire completed by participants (n=68) were used. The participants of the study were recruited from Hankyong National University students who undertook first-year Creative Engineering Design. A total of four problems for the PBL-based lectures were designed and applied to 12 weeks of PBL lectures. The participants completed reflective journals upon completion of each PBL problem-based activity; upon completion of the last PBL problem, participants completed and submitted a PBL system class-evaluation questionnaire. Also the participants completed an evaluation questionnaire at each step of the instructional procedures for each PBL problem-based activity. The findings of the research show that the participants increased their comprehension of PBL systems, their understanding of lecture content and of cooperative learning, and improved their self-reflection, authentic experience, creative problem-solving skills, communication skills, documentation skills, presentation skills, observational skills, and evaluation skills. The participants described how learning through PBL increased their confidence, satisfaction, and sense of achievement, compared to the previous semester.

• Journal of The Korean Association For Science Education
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• v.30 no.5
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• pp.621-635
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• 2010

Problem-based Learning (PBL) has been known as an effective strategy for dealing with various aspects of education such as the enhancement of students' motivation, interest in subjects, academic achievement, and cooperative abilities. However, PBL has not been widely implemented in secondary schools. The purpose of this study is to investigate secondary school teachers' perception of problem-based learning and their way of applying it. Data was collected through semi-structured interviews with nine secondary school teachers. Five of them had experience in implementing PBL, while four of them had interest in using PBL but had not yet had the experience. Different concepts were extracted and categorized. Nvivo 2.0 was used for analysis. The results were as follows: Changes in student attitude toward class, improvement on cooperation with others, self-regulated learning skills, and satisfaction from students' positive comments on PBL enabled teachers to become more enthusiastic and positive toward PBL. The stress of developing proper problems and the enormous amounts of time and efforts required in using PBL were shown as barriers for teachers in implementing PBL. However, some negative perspectives about PBL changed into positive after teachers experience PBL. By examining each teacher's way of implementing PBL, several teaching strategies suitable to their school systems were suggested.

• Journal of The Korean Association of Information Education
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• v.5 no.2
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• pp.240-257
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• 2001

Although many attempts have been made to use the Internet for educational purposes, not many attempts have achieved their goals. Such failure is mainly due to the lack of understanding on the way to use the Internet. The goal of this research is to investigate the potentiality of the Project-Based Learning approach using the Internet(NetPBL) and the ways to utilize the NetPBL. The NetPBL can be utilized through various activities such as keypals, mentoring, use of resources, cooperative learning, publishing, survey and data analysis, cooperative problem solving, simulation, and social action. Such diversity of the NetPBL can create a problem-based, context-based and learner-centered environment, which takes various types of the Internet use. In spite of such potentiality, little is known on how to implement the NetPBL. On this point, this research attempts to synthesize instructional strategies to implement the NetPBL at the macro and the micro level. At the macro level, instructional process is divided into four steps such as plan, preparation, implementation and closure, and some instructional suggestions are made for each step. At the micro level, detailed instructional strategies are suggested for the facilitation of self-directed learning and cooperative learning.

• Journal of Gifted/Talented Education
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• v.24 no.1
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• pp.1-16
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• 2014

This study was to examine whether high school students' academic motivation and learning strategies influence their competence. Of the 600 high school students surveyed from 3 high schools in two metropolitan cities, Korea, 489 completed and returned the questionnaires yielding a total response rate of 81.50%. The final sample consisted of 399 males (81.6%) and 82 females (16.8%). Among the final sample, 113 students were gifted, and 376 students were non-gifted. Their average age was 17.20 years. Measures of students' competence (i.e., cognitive competence, and social competence), academic motivation (i.e., intrinsic motivation to know, toward accomplishment, and to experience stimulation, and extrinsic motivation identified, introjected, and external regulation, and amotivation), and learning strategies (i.e., metacognition, self-monitoring, strategy formation) Spearman's rho(${\rho}$) indicated that students' competence was positively associated with intrinsic (i.e., to know, toward accomplishment, to experience stimulation) and extrinsic (i.e., identified, introjected) motivation, and learning strategies. However, students' competence was negatively associated with amotivation. Hierarchical multiple regression analyses showed that intrinsic motivation (i.e., to experience stimulation), extrinsic motivation(i.e., external regulation), and learning strategies (i.e., strategy formation) were the crucial contributors for enhancing students' competence. Results are discussed in relation to theoretical implications and school settings.

• Journal of the Korea Society of Computer and Information
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• v.16 no.10
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• pp.155-164
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• 2011

As Information & Communication Technology is developed in fast speed, the educational field undertakes many changes in utilizing Information Technology(IT). As the smart phone's educational utilization brings many positive effects, so many people are interested in such educational application programs. The e-textbooks or learning contents based on the web have shown some limits in being utilized as main learning materials in school field. So this study identified such limits, and suggested a new direction for professional education by integrating mobile and QR code technologies with existing textbooks to realize a new book-type E-Textbook model. And this study purposed for students to participate in their classes more easily through making open-education environment for students studying specialized subjects and by applying new teaching-learning methods inducing more interest in them. Of course, this study's ultimate purpose is to raise students' learning ability about specialized subjects, and further, to improve their self-directed learning abilities with increased interests in classes. As the result operating this model, it was found that this model had enough learning effect.

• Journal of Engineering Education Research
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• v.10 no.3
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• pp.79-92
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• 2007

To enhance the excellence, effectiveness and economical efficiency in the learning process, we implement a hybrid educational system for engineering experiments where web-based virtual laboratory systems and distance education systems are properly integrated. In the first stage, we designed client/server distributed environment and developed web-based virtual laboratory systems for digital systems and electrical/electronic circuit experiments. The proposed virtual laboratory systems are composed of four important sessions and their management system: concept learning session, virtual experiment session, assessment session. With the aid of the management system every session is organically tied up together to achieve maximum learning efficiency. In the second stage, we have implemented efficient and cost-effective distant laboratory systems for practicing electric/electronic circuits, which can be used to eliminate the lack of reality occurred during virtual laboratory session. The use of simple and user-friendly design allows a large number of people to access our distant laboratory systems easily. Thus, self-guided advanced training is available even if a lot of expensive equipment will not be provided in the on-campus laboratories. The proposed virtual/distant laboratory systems can be used in stand-alone fashion, but to enhance learning efficiency we integrated them and developed a hybrid educational system for engineering experiments. Our hybrid education system provides the learners with interactive learning environment and a new approach for the delivery of engineering experiments.