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JaeKwoun Shim
Gifted Education Center, Korea University, Seoul, South Korea

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Journal article
Published: 17 February 2021 in Sustainability
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It would be very beneficial to determine in advance whether a student is likely to succeed or fail within a particular learning area, and it is hypothesized that this can be accomplished by examining student patterns based on the data generated before the learning process begins. Therefore, this article examines the sustainability of data-mining techniques used to predict learning outcomes. Data regarding students’ educational backgrounds and learning processes are analyzed by examining their learning patterns. When such achievement-level patterns are identified, teachers can provide the students with proactive feedback and guidance to help prevent failure. As a practical application, this study investigates students’ perceptions of computer and internet use and predicts their levels of information and communication technology literacy in advance via sustainability-in-data-mining techniques. The technique employed herein applies OneR, J48, bagging, random forest, multilayer perceptron, and sequential minimal optimization (SMO) algorithms. The highest early prediction result of approximately 69% accuracy was yielded for the SMO algorithm when using 47 attributes. Overall, via data-mining techniques, these results will aid the identification of students facing risks early on during the learning process, as well as the creation of customized learning and educational strategies for each of these students.

ACS Style

Kyungyeul Kim; Han-Sung Kim; JaeKwoun Shim; Ji Park. A Study in the Early Prediction of ICT Literacy Ratings Using Sustainability in Data Mining Techniques. Sustainability 2021, 13, 2141 .

AMA Style

Kyungyeul Kim, Han-Sung Kim, JaeKwoun Shim, Ji Park. A Study in the Early Prediction of ICT Literacy Ratings Using Sustainability in Data Mining Techniques. Sustainability. 2021; 13 (4):2141.

Chicago/Turabian Style

Kyungyeul Kim; Han-Sung Kim; JaeKwoun Shim; Ji Park. 2021. "A Study in the Early Prediction of ICT Literacy Ratings Using Sustainability in Data Mining Techniques." Sustainability 13, no. 4: 2141.

Journal article
Published: 04 January 2021 in Education Sciences
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The quality of teaching and teacher plays a significant role in enhancing students’ cognitive and motivational development. The purpose of this study was to identify longitudinal trajectories of student perceptions of mathematics teachers’ professional competence, and to examine how these trajectories were related to students’ engagement and achievement in mathematics and their choice of college major. The data used for analysis were obtained from the Seoul Education Longitudinal Study, a study of 2714 secondary students who were followed up for five successive years. Results showed four heterogeneous trajectories of students’ perceptions of teacher competence, and these trajectories were associated with students’ engagement and achievement in mathematics. In addition, those who consistently perceived their mathematics teachers to be highly competent and whose perceptions of their teachers’ competence became more positive over time were more likely than other students to choose math-intensive majors. These findings imply longitudinal links between mathematics teachers’ professional competence as perceived by their students and students’ choice of college major as well as their engagement and achievement in mathematics.

ACS Style

Dongjo Shin; JaeKwoun Shim. Students’ Perceived Mathematics Teacher Competence: Longitudinal Associations with Learning Outcomes and Choice of College Major. Education Sciences 2021, 11, 18 .

AMA Style

Dongjo Shin, JaeKwoun Shim. Students’ Perceived Mathematics Teacher Competence: Longitudinal Associations with Learning Outcomes and Choice of College Major. Education Sciences. 2021; 11 (1):18.

Chicago/Turabian Style

Dongjo Shin; JaeKwoun Shim. 2021. "Students’ Perceived Mathematics Teacher Competence: Longitudinal Associations with Learning Outcomes and Choice of College Major." Education Sciences 11, no. 1: 18.

Review
Published: 14 May 2020 in International Journal of Science and Mathematics Education
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Educational data mining is used to discover significant phenomena and resolve educational issues occurring in the context of teaching and learning. This study provides a systematic literature review of educational data mining in mathematics and science education. A total of 64 articles were reviewed in terms of the research topics and data mining techniques used. This review revealed that data mining in mathematics and science education has been commonly used to understand students’ behavior and thinking process, identify factors affecting student achievements, and provide automated assessment of students’ written work. Recently, researchers have tended to use such data mining techniques as text mining to develop learning systems for supporting teachers’ instruction and students’ learning. We also found that classification, text mining, and clustering are major data mining techniques researchers have used. Studies using data mining were more likely to be conducted in the field of science education than in the field of mathematics education. We discuss the main results of our review in comparison with the previous reviews of educational data mining (EDM) literature and with EDM studies conducted in the context of science and mathematics education. Finally, we provide implications for research and teaching and learning of science and mathematics and suggest potential research directions.

ACS Style

Dongjo Shin; JaeKwoun Shim. A Systematic Review on Data Mining for Mathematics and Science Education. International Journal of Science and Mathematics Education 2020, 19, 639 -659.

AMA Style

Dongjo Shin, JaeKwoun Shim. A Systematic Review on Data Mining for Mathematics and Science Education. International Journal of Science and Mathematics Education. 2020; 19 (4):639-659.

Chicago/Turabian Style

Dongjo Shin; JaeKwoun Shim. 2020. "A Systematic Review on Data Mining for Mathematics and Science Education." International Journal of Science and Mathematics Education 19, no. 4: 639-659.

Journal article
Published: 31 December 2017 in Journal of The Korean Association of Information Education
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ACS Style

JaeKwoun Shim; 고려대학교; Yongcheon Kim; DaiYoung Kwon. A Study on the Improvement of SW Gifted Education through Analysis on the Current Situation of the SW Gifted Class. Journal of The Korean Association of Information Education 2017, 21, 711 -721.

AMA Style

JaeKwoun Shim, 고려대학교, Yongcheon Kim, DaiYoung Kwon. A Study on the Improvement of SW Gifted Education through Analysis on the Current Situation of the SW Gifted Class. Journal of The Korean Association of Information Education. 2017; 21 (6):711-721.

Chicago/Turabian Style

JaeKwoun Shim; 고려대학교; Yongcheon Kim; DaiYoung Kwon. 2017. "A Study on the Improvement of SW Gifted Education through Analysis on the Current Situation of the SW Gifted Class." Journal of The Korean Association of Information Education 21, no. 6: 711-721.

Preprint
Published: 01 January 2017
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In 2016, Korean Ministry of Science, ICT and Future Planning selected 30 Classes for the SW Gifted(CSWG) through public contest. The selected CSWG taught the SW gifted for 100 hours per year. The Korean Government attempt to differentiate the SW gifted education from existing the Computer Science Gifted education. In order to achieve this attempt, it was necessary to establish the identity of the SW gifted education. And the first step of this attempt was the establishment of the concept of SW gifted persons. This study aims to provide reference model for directions and objectives of SW gifted education. In order to achieve the goals introduced above, we conducted the research in the following steps. First, we selected the concept of ICT-based creative talented person as a base model to establish the concept of SW gifted person. The selected base model composed three core competencies which were ?knowledge and technology competencies?, ?synthesizing and creativity competencies?, and ?personality competencies?. Second, we developed survey tools, like questionnaires, to investigate participant?s recognition of SW gifted person. The survey tools was composed of three components: ?computational thinking?, ?entrepreneurship?, and ?social responsibility?. Each of the components composed seven elements as follows. The components of computational thinking composed ?abstraction?, ?problem decomposition?, ?algorithms and procedures?, ?data collect, analysis, and presentations?, ?automation?, ?parallelization?, and ?simulation?. The components of entrepreneurship composed ?innovativeness?, ?insight?, ?patent power?, ?positive drive?, ?morality?, ?orientation for the future?, ?collaboration capabilities?. The components of social responsibility composed ?the spirit of self-sacrifice?, ?a consciousness of social problem?, ?social responsibility?, ?empathic ability?, ?sense of duty?, ?social considerations?, ?sense of community service?. Third, we developed on-line survey system

ACS Style

Jaeho Lee; Junhyung Jang; Hyunkyung Shin; JaeKwoun Shim; DaiYoung Kwon. Exploring the Components of Core Competencies on Establishing the Concept of SW Gifted Persons. 2017, 1 .

AMA Style

Jaeho Lee, Junhyung Jang, Hyunkyung Shin, JaeKwoun Shim, DaiYoung Kwon. Exploring the Components of Core Competencies on Establishing the Concept of SW Gifted Persons. . 2017; ():1.

Chicago/Turabian Style

Jaeho Lee; Junhyung Jang; Hyunkyung Shin; JaeKwoun Shim; DaiYoung Kwon. 2017. "Exploring the Components of Core Competencies on Establishing the Concept of SW Gifted Persons." , no. : 1.

Conference paper
Published: 01 January 2017 in Proceedings of the 30th International Academic Conference, Venice
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ACS Style

Jaeho Lee; Junhyung Jang; Hyunkyung Shin; JaeKwoun Shim; DaiYoung Kwon. EXPLORING THE COMPONENTS OF CORE COMPETENCIES ON ESTABLISHING THE CONCEPT OF SW GIFTED PERSONS. Proceedings of the 30th International Academic Conference, Venice 2017, 1 .

AMA Style

Jaeho Lee, Junhyung Jang, Hyunkyung Shin, JaeKwoun Shim, DaiYoung Kwon. EXPLORING THE COMPONENTS OF CORE COMPETENCIES ON ESTABLISHING THE CONCEPT OF SW GIFTED PERSONS. Proceedings of the 30th International Academic Conference, Venice. 2017; ():1.

Chicago/Turabian Style

Jaeho Lee; Junhyung Jang; Hyunkyung Shin; JaeKwoun Shim; DaiYoung Kwon. 2017. "EXPLORING THE COMPONENTS OF CORE COMPETENCIES ON ESTABLISHING THE CONCEPT OF SW GIFTED PERSONS." Proceedings of the 30th International Academic Conference, Venice , no. : 1.

Journal article
Published: 28 May 2014 in Journal of Digital Convergence
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ACS Style

JaeKwoun Shim; Wongyu Lee; Jamee Kim. A Study on the Analysis and Application of Educational Robot Simulation tool in Robot Programming Education. Journal of Digital Convergence 2014, 12, 425 -433.

AMA Style

JaeKwoun Shim, Wongyu Lee, Jamee Kim. A Study on the Analysis and Application of Educational Robot Simulation tool in Robot Programming Education. Journal of Digital Convergence. 2014; 12 (5):425-433.

Chicago/Turabian Style

JaeKwoun Shim; Wongyu Lee; Jamee Kim. 2014. "A Study on the Analysis and Application of Educational Robot Simulation tool in Robot Programming Education." Journal of Digital Convergence 12, no. 5: 425-433.

Journal article
Published: 21 March 2012 in IEEE Transactions on Education
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Tangible programming tools enable children to easily learn the programming process, previously considered to be difficult for them. While various tangible programming tools have been developed, there is still a lack of available tools to help students experience the general programming process. This study therefore developed a tool called Algorithmic Bricks (A-Bricks), to improve the programming language experience by considering and utilizing characteristics of procedural language. Specifically, elements such as sequence, repetition, condition, function, and parameter were used to develop A-Bricks. In addition, this study observed the benefits of A-Bricks and confirmed its potential as a tangible educational programming tool by comparing and analyzing elementary school students using A-Bricks to control groups using Scratch.

ACS Style

Dai-Young Kwon; Han-Sung Kim; Jae-Kwoun Shim; Won-Gyu Lee. Algorithmic Bricks: A Tangible Robot Programming Tool for Elementary School Students. IEEE Transactions on Education 2012, 55, 474 -479.

AMA Style

Dai-Young Kwon, Han-Sung Kim, Jae-Kwoun Shim, Won-Gyu Lee. Algorithmic Bricks: A Tangible Robot Programming Tool for Elementary School Students. IEEE Transactions on Education. 2012; 55 (4):474-479.

Chicago/Turabian Style

Dai-Young Kwon; Han-Sung Kim; Jae-Kwoun Shim; Won-Gyu Lee. 2012. "Algorithmic Bricks: A Tangible Robot Programming Tool for Elementary School Students." IEEE Transactions on Education 55, no. 4: 474-479.

Journal article
Published: 29 February 2012 in The KIPS Transactions:PartA
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ACS Style

Ja-Mee Kim; Jae-Kwoun Shim; Ji-Min Kim; Won-Gyu Lee; Doo-Soon Park. Analysis of Inquiry Tendency in the 'Information Representation and Management' Sections in Middle School Informatics Textbooks. The KIPS Transactions:PartA 2012, 19A, 9 -16.

AMA Style

Ja-Mee Kim, Jae-Kwoun Shim, Ji-Min Kim, Won-Gyu Lee, Doo-Soon Park. Analysis of Inquiry Tendency in the 'Information Representation and Management' Sections in Middle School Informatics Textbooks. The KIPS Transactions:PartA. 2012; 19A (1):9-16.

Chicago/Turabian Style

Ja-Mee Kim; Jae-Kwoun Shim; Ji-Min Kim; Won-Gyu Lee; Doo-Soon Park. 2012. "Analysis of Inquiry Tendency in the 'Information Representation and Management' Sections in Middle School Informatics Textbooks." The KIPS Transactions:PartA 19A, no. 1: 9-16.