텍스트마이닝 기반 디지털 리터러시 함양을 위한 미술교육 연구 동향 분석
Analyzing Trends in Art Education Research for Fostering Text Mining-based Digital Literacy
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초록
텍스트마이닝 분석 결과 첫째, 미술 교과에서는 디지털 활용 능력을 넘어 디지털 사회 일원으로서 갖춰야 할 디지털 시민성에 관한 미술교육 연구도 이루어진 것을 알 수 있었다. 둘째, 디지털 리터러시 역량 향상을 위한 미술교육 연구가 다양한 주제를 다루며 균형 있게 수행되어야 할 필요성이 있음을 확인하였다. 셋째, 미술 교과 내 디지털 리터러시 교육이 학습자 연령에 따라 단계적으로 이뤄질 수 있도록 미술 교과만의 디지털 리터러시 교육 표준 체계를 마련하고 적용해야 할 필요성이 보인다. 본 연구는 텍스트마이닝 기법을 활용하여 디지털 리터러시 관련 미술교육 연구의 전반적인 동향을 수학적 틀로 파악하고 향후 연구에 시사점을 제공했다는 점에서 의의가 있다. 디지털 대전환으로 디지털 리터러시 역량 증진의 중요성이 강조되고 있는 시점에서 본 연구의 결과가 향후 디지털 리터러시 함양을 위한 미술교육 연구에 도움이 되길 기대한다.
Abstract
This study aims to identify trends in art education research focused on fostering text mining-based digital literacy and to suggest future research directions. To achieve this, the study reviewed the theoretical background of digital literacy and examined text mining analysis techniques. The reviewed included academic papers and theses on art education for digital literacy, selected through a five-step process. For the abstracts analysis, R (ver. 4.4.0) and RStudio (ver. 2023.12.1) was adopted. The results of this study can be summarized as follows. First, art education research has been conducted not only to enhance digital literacy skills but also to educate digital citizenship as a member of a digital society. Second, this study confirmed the need for art education research to enhance digital literacy competence in a balanced manner across various topics. Third, there is a need to devise and apply a standardized digital literacy education program tailored to the art curriculum, enabling a phased digital literacy education following the learners' age within the art curriculum. Given the increasing importance of digital literacy in digital transformation, this study will provide valuable baseline data for future research in art education to improve digital literacy.
참고문헌 (37)
- General capabilities-Digital Literacy (previously ICT), "ACARA", ACARA, ~ (2021)
- Ahn, Y., "A Study on the Document Topic Extraction System for LDAbased User Sentiment Analysis", The journal of the institute of internet, broadcasting and communication, 23(3), pp.195~203 (2021)
- Bawden, D., "Information and digital literacies : a review of concepts", Journal of Documentations, 57(2), pp.218~259 (2001)
- Blei, D. M., "Probabilistic Topic Models", Communications of the ACM, 55(4), pp.77~84 (2012)
- Choi, W., "A theoretical inquiry on the meaning of ‘digital literacy’ in the 2022 revised English curriculum", Journal of the Korea English Education Society, 21(4), pp.115~132 (2022)
- Eshet, Y., "Digital literacy : A new terminology framework and its application to the design of meaningful technology-based learning environments", Educational Multimedia and Hypermedia, 13(1), pp.93~106 (2002)
- Key competences for lifelong learning, "European Commission", Publications Office, ~ (2019)
- Gilster, P, "Digital literacy" (1998), John Wiley & Sons
- "The R Language: An Enfine for Bioinformatics and Data Science" (2024)[URL]
- Research on developing digital literacy index to support knowledge and information competency development, "Han, J.", Korea Education & Research Information Service, ~ (2006)
- Hotho, A., "A Brief Survey of Text Mining", Journal for Language Technology and Computational Linguistics, 20(1), pp.19~62 (2005)
- "Developing digital literacies"[URL]
- Kim, H. J., "Exploring College Students Perceptions and Educational Experiences of Digital Literacy", The Journal of Learner-Centered Curriculum and Instruction, 16(8), pp.937~958 (2016)
- Kim, J. M, "Analyzing Changes in Design Trend of Denim Jeans Using Text Mining", doctor, pp.2023
- Research on development of curriculum-linked digital literacy education guide, "Kim, J.", KERIS, ~ (2023)
- Kim, S. Y., "Analysis of public perception of high schoil credit system through big data", The Korean Journal of Educational Methodology Studies, 33(1), pp.179~203 (2021)
- Study on how to apply digital litercay to the curriculum, "Kim, S.", KERIS, ~ (2017)
- Kim, S., "A study on the research trends of multicultural art education using the text mining technique", Multicultural Education Studies, 9(2), pp.203~227 (2016)
- Kim, Y. W, "Do it! Easy to learn R text mining" (2021), Easypublishing
- Lee, J. E., "A Study on the Operation Plan of Art Education Program through Metaverse-based Teaching and Learning Implementation : Focused on the Digital Literacy of Vulnerable Youth", Journal of art education, 73, pp.137~160 (2023)
- Lee, S. E., "A Study on the Art Education Program by using Digital Media-Focusing on the analysis of digital works", Journal of Korean Society of Media and Arts, 10(2), pp.73~82 (2012)
- Lee, S. J, "Exploring directions of College Competency-based Education with Text Data Analysis", doctor, pp.2021
- 2022 revised curriculum overview main points, "Ministry of Education of Korea", Ministry of Education, ~ (2021)
- "Digital literacy and technological skills" (2024)[URL]
- Educating 21st Century Children: Emotional Well-being in the Digital Age Centre for Educational Research and Innovation, "OECD", OECD, ~ (2019)
- Oh, J., "Busan Metropolitan Office of Education middle school digital literacy textbook" (2021), Busan Metropolitan Office of Education
- Saura, J. R., "A Three-Stage method for Data Text Mining : Using UGC in Business Intelligence Analysis", Symmetry, 11(4), pp.519~ (2019)
- Shopova, T., "Digital literacy of students and its improvement at the university", Journal on Efficiency and Responsibility in Education and Science, 7(2), pp.26~32 (2014)
- Sohn, J., "A Study on the Principles of Teaching and Learning for Visual Culture and Digital Literacy Education", Journal of research in art & education, 22(3), pp.1~24 (2021)
- Sohn, J., "Proposal for Digital Literacy in the Revised 2022 Art Education Curriculum through Overseas Case Analysis", Journal of art education, 75, pp.89~112 (2023)
- Sohn, J., "A Study on Digital Literacy in Art Education and Teacher’s Digital literacy in Art Education", Art Education Research Review, 37(1), pp.1~30 (2023)
- Son, Y. R., "Development and Application of Data Visualization Art Education Program for the Development of Digital Literacy", Art Education Research Review, 37(4), pp.22~46 (2023)
- Talib, R., "Text Mining : Techniques, Applications and Issues", International Journal of Advanced Computer Science and Applications, 7(11), pp.414~418 (2016)
- A global framework of reference in digital literacy skills for indicator 4.4.2, "UNESCO", UNESCO Institute for Statistics, ~ (2018)
- Guidelines for Data Collection to Measure SDG 4.4.2. UNESCO Institute for Statistics, "UNESCO", UNESCO Institute for Statistics, ~ (2022)
- Yang, K., "Analysis of the Relationship between Korean Elementary and Middle School Student’s Affective Domain of Digital Literacy and Home Variables", The Journal of Education, 40(1), pp.199~222 (2020)
- "Research on the Application Methods of Big Data within the Cultural Industry" (2013)[URL]
