• Journal of Practical Engineering Education
• /
• v.13 no.2
• /
• pp.379-392
• /
• 2021

In recent years, vocational training has shifted away from lectures and practice-oriented methods in light of rising demand for project-based classes in which trainees can produce results while simultaneously receiving feedbacks from field experts from the industry. Therefore, this study aims to suggest a salient role of the project-based classes of enterprise-customized training programs, which private vocational training institutions regard as vital, by identifying demands from trainees or the actual beneficiaries of these programs. To this end, a written survey of the trainees' perception of the enterprise-customized training programs was conducted along with a qualitative analysis of open-ended questions. Specifically, we analyzed the overall satisfaction level of these classes, their contribution to employment, degree of meeting the expectations, and areas for improvements to ultimately derive significant implications.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.11a
• /
• pp.945-946
• /
• 2023

4차 산업혁명과 코로나19 영향으로 개발자 수요가 급증하며, 노코드 및 로우코드 플랫폼과 자연어 처리 기반 인공지능이 주목받고 있다. 본 연구는 프로그래밍 접근성 향상을 위한 노코드 플랫폼을 탐구하며, 사용자가 UI를 통해 직관적으로 프로젝트를 구축할 수 있는 설계 방식을 제시한다. 본 연구에서는 웹 크롤링과 자연어 처리 모델 학습에 기반한 아키텍처와 방향성을 제시한다. 사용자는 화면을 구성하고 프레임워크 선택 후 프로젝트를 간단하게 구축할 수 있다. 이 연구는 전문 지식 없이도 소프트웨어 개발에 쉽게 접근할 수 있는 방법론을 제시하며, 접근성과 포용성 강화에 기여한다.

• Journal of The Korean Association of Information Education
• /
• v.24 no.4
• /
• pp.265-278
• /
• 2020

The purpose of this study is to analyze the experience of the process of developing instructional media by using Scratch for in-service teachers, after they participated in programming education with Scratch conducted as part of teaching methods using ICT. In particular, this study aimed to explore in-service teachers' thoughts and experiences of the objectives and methods integrated the programming education into their subjects creatively and convergently. To achieve the objective, they conducted an instructional design in accordance with their subject's learning goals and methods on the framework of the ASSURE model. Then, they conducted a project to develop instructional media with Scratch as part of the instructional design. 10 in-service teachers who attends the Graduate School of Education at K University in the second semester of 2019 were participated in this study. As a result, teachers showed positive expectation that the use of media developed by Scratch could bring significant results to attract students' interest and promote students' participation to lead learner-centered classes. This study has implications for future direction on programming education for professional development programs of prospective teachers as well as in-service teachers.

• KIPS Transactions on Software and Data Engineering
• /
• v.7 no.3
• /
• pp.77-90
• /
• 2018

Software Defect Prediction (SDP) is a field of study that identifies defective modules. With insufficient local data, a company can exploit Cross-Project Defect Prediction (CPDP), a way to build a classifier using dataset collected from other companies. Most machine learning algorithms for SDP have used more than one parameter that significantly affects prediction performance depending on different values. The objective of this study is to propose a parameter selection technique to enhance the performance of CPDP. Using a Harmony Search algorithm (HS), our approach tunes parameters of cost-sensitive boosting, a method to tackle class imbalance causing the difficulty of prediction. According to distributional characteristics, parameter ranges and constraint rules between parameters are defined and applied to HS. The proposed approach is compared with three CPDP methods and a Within-Project Defect Prediction (WPDP) method over fifteen target projects. The experimental results indicate that the proposed model outperforms the other CPDP methods in the context of class imbalance. Unlike the previous researches showing high probability of false alarm or low probability of detection, our approach provides acceptable high PD and low PF while providing high overall performance. It also provides similar performance compared with WPDP.

• The Journal of Korean Association of Computer Education
• /
• v.23 no.4
• /
• pp.49-59
• /
• 2020

At the beginning of the discussion of AI education in K-12 education, the study was conducted to develop and apply an AI education program based on Design Thinking and analyze the effects of the AI education programs. In the AI education program, students explored and defined the AI problems they were interested in, gathered the necessary data to build an AI model, and then developed a project using scratch. In order to analyze the effectiveness of the AI education program, the change of learner's perception of the value of AI and the change of AI efficacy were analyzed. The overall perception of the AI project was also analyzed. As a result, AI efficacy was significantly increased through the experience of carrying out the project according to the Design Thinking process. In addition, the efficacy of solving problems with AI was influenced by the level of use of programming languages. The learner's overall perception of the AI project was positive, and the perceptions of each stage of the AI project (AI problem understanding and problem exploration, practice, problem definition, problem solving idea implementation, evaluation and presentation) was also positive. This positive perception was higher among students with high level of programming language use. Based on these results, the implications for AI education were suggested.

• Journal of the Korean School Mathematics Society
• /
• v.24 no.1
• /
• pp.107-126
• /
• 2021

Lexicon is closely related to human thinking. In particular, a classroom lexicon results from objectifying the teaching-learning activity in classrooms, allowing humans to recognize and explore the activities and phenomena in classrooms explicitly. Therefore, using the lexicon and clarifying what the words mean is to enhance the understanding of teaching activities. The International Classroom Lexicon Project investigates and identifies each country's mathematics classroom lexicon, where ten countries participated. The purpose of this current study is to compare the differences in perceptions between teachers and pre-service teachers about the Korean classroom lexicon previously investigated as a part of the international collaborative project. By comparing the responses of 147 teachers and 127 pre-service teachers, the degree of familiarity with pedagogical terms and the frequency of occurrence or usage in classrooms were compared and analyzed to understand the recognition of pre-service teachers' pedagogical terms. Finally, we also discuss reflections on Korean mathematics teaching practices in Korea.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.19 no.1
• /
• pp.119-126
• /
• 2024

In building information model (BIM), it is difficult to train an artificial intelligence (AI) model due to the lack of sufficient data about individual projects in an architecture firm. In this paper, we present a methodology to correctly train an AI neural network model based on a large language model (LLM) to predict the steel structure product weight ratios in BIM. The proposed method, with the aid of the LLM, can overcome the inherent problem of limited data availability in BIM and handle a combination of natural language and numerical data. The experimental results showed that the proposed method demonstrated significantly higher accuracy than methods based on a smaller language model. The potential for effectively applying large language models in BIM is confirmed, leading to expectations of preventing building accidents and efficiently managing construction costs.

• Journal of Science Education
• /
• v.41 no.2
• /
• pp.248-266
• /
• 2017

The purpose of this study is to present various examples of collaborative learning based on the Instruction of Internet in the 6th grade elementary school mathematics class. So we introduce the design method of classroom environment for classroom Internet and give example of various teaching methods. This study was conducted for nine months from March to November, 2016, one sixth grade of elementary school in D area. During this period, we conducted Instruction of Internet-based collaborative learning to classify typical teaching cases. We classified into 5 type collaborative learning. First, collaborative learning in the classroom. Second, remote collaborative learning between classroom and classroom. Third, Live participation classes. Forth, project collaborative learning. Fifth, using virtual reality in collaborative learning. In addition, we could identify that there is a difference compared to the conventional learning. It became possible to conduct collaborative learning with other students simultaneously or have opening class with both parents and teachers by using Youtube. These examples can be presented as a case to depart from traditional mathematics class in one classroom. In this regard, we will be able to provide several implications about teaching methods utilizing smart device and Internet in future classroom.

• Journal of Engineering Education Research
• /
• v.18 no.2
• /
• pp.65-76
• /
• 2015

Despite its ineffectiveness, the dominant pedagogy for engineering education is still "chalk & talk". Meanwhile, student-centered learning models have been highlighted for strong communication, teamwork skills, deep understanding and analysis on social, environmental and economic issues as well as application of their engineering knowledge in practice. Among others, on problem- and project-based learning, this article examines theoretical background and detailed features and a comparison between both learning models including common and different features from the previous theoretical and empirical studies. It reviews some cases of where they have been practiced successfully in engineering, and further, applied strategies for engineering education are suggested.

• The Journal of Korean Association of Computer Education
• /
• v.9 no.2
• /
• pp.27-36
• /
• 2006

This study intends to present essential models for collaborative learning in e-learning environment as well as to analyze learning behavior elements appearing in collaborative learning activities. In order to achieve goal of the study, the researchers analyzed existing cooperative learning models for face-to-face classroom, collaborative activity models based on instructional theory, and the structures and activities elements of learning community and collaborative activity models focusing on e-learning environment. As a result of the study, the researchers produced a generalizable collaborative learning model for e-learning which include general collaborative learning model, and further analyzed specific learning behaviors performed by learners while they proceed in this model based learning processes. The adequacy of this model and reliability of learning behavior elements were tested through experts' review meetings. The research result, suggesting generalizable collaborative learning model as well as learning behaviors elements which might occur within e-learning based collaborative learning, might work as a foundational model for software infrastructure and e-learning solution business. Moreover, its value might be maximized if its being used for enhancing learning content interoperability and reuse as well as for establishing international standardization for collaborative technology.