Development model of IASEE in basic painting art learning, based on glass box
Keywords:
art learning, basic painting, glass box, IASEE, learning modelAbstract
The background of this research is the use of learning models which is not optimal in developing students’ creative abilities rationally and logically to create paintings in learning basic painting in Higher Education. The research objective is to develop a valid, practical, and effective model of IASEE Basic Painting Learning Based on Glass Box. This development research uses a 4-D development model (four D models), the stages are definition, design, development, and deployment. Disseminate). The research subjects were 20 students of the Arts Faculty, Universitas Negeri Padang. Data collection techniques in this study used instruments in the form of interviews, questionnaires, and tests to obtain the validity, practicality, and effectiveness of the developed model. The collected data is analyzed for validity, practicality, and effectiveness using a predetermined formula. The results of the development of the IASEE Basic Painting Learning Model Based on Glass Box are in the form of products, namely 1) Model Books; 2) Instruction Books, and 3) learning modules. After going through the process of defining, designing, and developing the model, the research results were obtained in the form of a Learning Model that meets the elements of validity, practicality, and effectiveness.
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References
Bai, R., & Guo, X. (2021). Automatic orientation detection of abstract painting. Knowledge-Based Systems, 227, 107240. https://doi.org/10.1016/j.knosys.2021.107240
Bassey, A. B., & Akpan, R. W. (2021). State-of-the-Art in the Teaching of Fine and Applied Arts in Colleges of Education in Nigeria. African Educational Research Journal, 9(3), 648-654.
Besgen, A. (2015). Teaching/Learning Strategies Through Art: Painting and Basic Design Education. Procedia-Social and Behavioral Sciences, 182, 420-427. https://doi.org/10.1016/j.sbspro.2015.04.812
Besgen, A., Kuloglu, N., & Fathalizadehalemdari, S. (2015). Teaching/learning strategies through art: Art and basic design education. Procedia-Social and Behavioral Sciences, 182, 428-432. https://doi.org/10.1016/j.sbspro.2015.04.813
Fournier-Viger, P., Najjar, M., Mayers, A., & Nkambou, R. (2006). A cognitive and logic based model for building glass-box learning objects. Interdisciplinary Journal of E-Learning and Learning Objects, 2(1), 77-94.
Gede Budasi, I. & Wayan Suryasa, I. (2021). The cultural view of North Bali community towards Ngidih marriage reflected from its lexicons. Journal of Language and Linguistic Studies, 17(3), 1484–1497
Gultepe, E., Conturo, T. E., & Makrehchi, M. (2018). Predicting and grouping digitized paintings by style using unsupervised feature learning. Journal of cultural heritage, 31, 13-23. https://doi.org/10.1016/j.culher.2017.11.008
Guo, X., Qian, Y., Li, L., & Asano, A. (2018). Assessment model for perceived visual complexity of painting images. Knowledge-Based Systems, 159, 110-119. https://doi.org/10.1016/j.knosys.2018.06.006
Ho, T. K. L., & Lin, H. S. (2015). A web-based painting tool for enhancing student attitudes toward learning art creation. Computers & Education, 89, 32-41. https://doi.org/10.1016/j.compedu.2015.08.015
Höök, K., Karlgren, J., Wærn, A., Dahlbäck, N., Jansson, C. G., Karlgren, K., & Lemaire, B. (1998). A glass box approach to adaptive hypermedia. In Adaptive hypertext and hypermedia (pp. 143-170). Springer, Dordrecht.
Kelek, M. O., Calik, N., & Yildirim, T. (2019). Painter classification over the novel art painting data set via the latest deep neural networks. Procedia Computer Science, 154, 369-376. https://doi.org/10.1016/j.procs.2019.06.053
Liu, S., Yang, J., Agaian, S. S., & Yuan, C. (2021). Novel features for art movement classification of portrait paintings. Image and Vision Computing, 108, 104121. https://doi.org/10.1016/j.imavis.2021.104121
Plyth, P. S., & Craham, C. P. (2020). Translation affects literary and cultural systems: how to observe the features of translation?. Applied Translation, 14(1), 29–37. Retrieved from https://appliedtranslation.nyc/index.php/journal/article/view/1141
Suda, I. K. (2017). The The children character improvement through painting activities in art school: I Wayan Gama Painting School. International Research Journal of Management, IT and Social Sciences, 4(4), 11-21. Retrieved from https://sloap.org/journals/index.php/irjmis/article/view/470
Tandirli, E. (2012). Painting education & artistic evolution. Procedia-Social and Behavioral Sciences, 46, 4493-4497. https://doi.org/10.1016/j.sbspro.2012.06.283
Tkachuk, I., Lysun, Y., Hrynda, B., Shymin, Y., & Yankovska, D. (2021). Illusionism in sacred monumental painting of the baroque era, optics of perception. Linguistics and Culture Review, 5(S4), 1270-1287. https://doi.org/10.21744/lingcure.v5nS4.1777
Trisnowali, A. (2015). Profil disposisi matematis siswa pemenang olimpiade pada tingkat provinsi Sulawesi Selatan. Journal of EST, 1(3), 47-57.
Valeyeva, N. S., Kupriyanov, R. V., Valeeva, E., & Kraysman, N. V. (2019, September). Influence of the fourth industrial revolution (Industry 4.0) on the system of the engineering education. In International Conference on Interactive Collaborative Learning (pp. 316-325). Springer, Cham.
Wang, W., Zhao, M., Wang, L., Huang, J., Cai, C., & Xu, X. (2016). A multi-scene deep learning model for image aesthetic evaluation. Signal Processing: Image Communication, 47, 511-518. https://doi.org/10.1016/j.image.2016.05.009
Widana, I. N. M. (2017). Strategy for art and cultural preservation at Balinese Hindus in praya city, central lombok regency. International Research Journal of Management, IT and Social Sciences, 4(3), 82-90. Retrieved from https://sloap.org/journals/index.php/irjmis/article/view/469
Wiratno, T. A. (2018). Seni Lukis Konsep dan Metode.
Yang, G. (2021). The imagery and abstraction trend of Chinese contemporary oil painting. Linguistics and Culture Review, 5(S2), 454-471. https://doi.org/10.21744/lingcure.v5nS2.1383
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