The scientific design of the curriculum is a very important issue guaranteeing the quality of university education. The basic aim of drawing up a curriculum is how to organize the subjects so as to fit for the goal of training a talent and what is centered in drawing up a curriculum. It could be expressed as the evaluation index of a curriculum and how to set this index is also important. We focused on the amount of knowledge that can be considered the key to the talent evaluation index of university education and studied the curriculum evaluation model with a maximum knowledge acquisition. Then, we proposed the curriculum drawing methods by topological alignment algorithms. We established the evaluation method for constructing the subjects so that it could correspond to the talent training target of the relevant university course and made the knowledge acquisition model imitating the neural cell learning model in the artificial neural network. Based on this, we proposed this method. The method proposed in this paper should be more primitive that the ones by the modern algorithm but it has a number of advantages for the purpose of getting the maximum acquisition amounts.
| Published in | Innovation Education (Volume 1, Issue 1) |
| DOI | 10.11648/j.iedu.20260101.16 |
| Page(s) | 42-47 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2026. Published by Science Publishing Group |
Curriculum, Development, Amount of Knowledge Acquisition, Topological Alignment, Algorithm
| [1] | Tianyi Zhou. 2021. “Curriculum Learning by Optimizing Learning Dynamics.” Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS) San Diego, California, USA. PMLR: Volume 130. |
| [2] | Abdulssalam Omar Alnaji. 2022. “Curriculum Planning Model in General Education.” Journal of Curriculum and Teaching, Vol. 11, No. 5; 275-288. |
| [3] | Guy Hacohen and Daphna Weinshall. 2019. “On the power of curriculum learning in training deep networks.” In Proceedings of the 36th International Conference on Machine Learning, volume 97, pages 2535–2544. |
| [4] | Lu Jiang, Zhengyuan Zhou. 2018. “Learning data-driven curriculum for very deep neural networks on corrupted labels.” In Proceedings of the 35th International Conference on Machine Learning, volume 80, pages 2304–2313. |
| [5] | Ferreira. 2017. “Methodology to select solutions for multiobjective optimization problems: Weighted stress function method.” Journal of Multi‐Criteria Decision Analysis 24, 103-120. |
| [6] | Noghin, V. D. 2015. “Linear scalarization in multi-criterion optimization.” Scientific and Technical Information Processing 42(6), 463-469. |
| [7] | Alekseeva, G. M. 2014. “Practical aspects of using of computer technology in the process of 8. professional preparation of students at educational institutions.” Zbirnik naukovih prats (Aktualni pitannya fIziko-matematichnoyi osviti) l, 3, 139-145. |
| [8] | Sosnitskiy, O., Kravchenko. 2012. “The concept of reform of the system of national education based on thinking”. Information Technologies & Knowledge 6(3), 283–299. |
| [9] | Mladineo, M. 2011. “Optimization of the Selection of Competence Cells in Regional Production Network.” Tehnicki Vjesnik Technical Gazette 18(4), 581-488. |
| [10] | Hrynovets, M. V. 2010. “Information model of educational process management in conditions of weak structuring.” Informatsiyni systemy ta merezhi, 129-136. |
| [11] | Addo-Atuah, Kweku. 2012. “Northview Elementary School: an iterative participatory process in schoolyard planning &design.” Unpublished Master’s Report, Kansas State University. |
| [12] | Deming, M. Elen and Simon Swaffield. 2011. Landscape Architectural Research: Inquiry, Strategy, Design. Hoboken, New Jersey. |
| [13] | Dewey, John. 1906. The Child and the Curriculum. Chicago: University of Chicago Press. |
| [14] | Eisner, Eliot W. 1981. “On the Differences between Scientific and Artistic Approaches to Qualitative Research.” Educational Researcher 10(4): 5-9. Accessed May, 26 2012. |
| [15] | Frost, Joe L. 2010. A History of Children’s Play Environments: toward a contemporary child saving movement. New York: Routledge. |
| [16] | Frost, Robert. 1968. The Complete Poems of Robert Frost. New York: Holt, Reinhardt and Winston. |
| [17] | Gibson, James J. 1977. “The Theory of Affordances.” In Perceiving, Acting, and Knowing: Toward an Ecological Psychology, edited by R. Shaw and J. Bransford, 67-82. Hillsdale, NJ: Lawrence Erlbaum. |
| [18] | Heft, Harry. 1999. “Affordances of Children’s Environments: A Functional Approach to Environmental Description.” In Directions in Person – Environment Research and Practice, edited by Jack L. Nasar and Wofgang F. E. Preiser, 43-69. Aldershot: Ashgate. |
| [19] | Heft, Harry. 2010. “Affordances and the perception of landscape: An inquiry into environmental perception and aesthetics.” In Innovative approaches to researching landscape and health, edited by Catherine Ward Thompson, Peter Aspinall, and Simon Bell, 9-32. New York: Routledge. |
| [20] | Herrington, Susan. 2004. “Muscle Memory: Reflections on the North American schoolyard.” In Multiple Lenses, Multiple Images: Perspectives on the Child across Time, Space and Disciplines, edited by Hillel Goelman, Sheila Marshall and Sally Ross, 91-108. Toronto: University of Toronto Press. |
APA Style
Hyok, C. J., Mi, Y. S., Hak, P. U., Jong, R. I., Guk, K. T., et al. (2026). Study on the Curriculum Development Method Based on the Amount of Knowledge Acquisition. Innovation Education, 1(1), 42-47. https://doi.org/10.11648/j.iedu.20260101.16
ACS Style
Hyok, C. J.; Mi, Y. S.; Hak, P. U.; Jong, R. I.; Guk, K. T., et al. Study on the Curriculum Development Method Based on the Amount of Knowledge Acquisition. Innov. Educ. 2026, 1(1), 42-47. doi: 10.11648/j.iedu.20260101.16
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.iedu.20260101.16,
author = {Choe Ju Hyok and Yun Sol Mi and Paek Un Hak and Ri Il Jong and Kim Tong Guk and Ri Kwang Il},
title = {Study on the Curriculum Development Method Based on the Amount of Knowledge Acquisition},
journal = {Innovation Education},
volume = {1},
number = {1},
pages = {42-47},
doi = {10.11648/j.iedu.20260101.16},
url = {https://doi.org/10.11648/j.iedu.20260101.16},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.iedu.20260101.16},
abstract = {The scientific design of the curriculum is a very important issue guaranteeing the quality of university education. The basic aim of drawing up a curriculum is how to organize the subjects so as to fit for the goal of training a talent and what is centered in drawing up a curriculum. It could be expressed as the evaluation index of a curriculum and how to set this index is also important. We focused on the amount of knowledge that can be considered the key to the talent evaluation index of university education and studied the curriculum evaluation model with a maximum knowledge acquisition. Then, we proposed the curriculum drawing methods by topological alignment algorithms. We established the evaluation method for constructing the subjects so that it could correspond to the talent training target of the relevant university course and made the knowledge acquisition model imitating the neural cell learning model in the artificial neural network. Based on this, we proposed this method. The method proposed in this paper should be more primitive that the ones by the modern algorithm but it has a number of advantages for the purpose of getting the maximum acquisition amounts.},
year = {2026}
}
TY - JOUR T1 - Study on the Curriculum Development Method Based on the Amount of Knowledge Acquisition AU - Choe Ju Hyok AU - Yun Sol Mi AU - Paek Un Hak AU - Ri Il Jong AU - Kim Tong Guk AU - Ri Kwang Il Y1 - 2026/02/11 PY - 2026 N1 - https://doi.org/10.11648/j.iedu.20260101.16 DO - 10.11648/j.iedu.20260101.16 T2 - Innovation Education JF - Innovation Education JO - Innovation Education SP - 42 EP - 47 PB - Science Publishing Group UR - https://doi.org/10.11648/j.iedu.20260101.16 AB - The scientific design of the curriculum is a very important issue guaranteeing the quality of university education. The basic aim of drawing up a curriculum is how to organize the subjects so as to fit for the goal of training a talent and what is centered in drawing up a curriculum. It could be expressed as the evaluation index of a curriculum and how to set this index is also important. We focused on the amount of knowledge that can be considered the key to the talent evaluation index of university education and studied the curriculum evaluation model with a maximum knowledge acquisition. Then, we proposed the curriculum drawing methods by topological alignment algorithms. We established the evaluation method for constructing the subjects so that it could correspond to the talent training target of the relevant university course and made the knowledge acquisition model imitating the neural cell learning model in the artificial neural network. Based on this, we proposed this method. The method proposed in this paper should be more primitive that the ones by the modern algorithm but it has a number of advantages for the purpose of getting the maximum acquisition amounts. VL - 1 IS - 1 ER -
Department of Information Science and Technology, Kim Chaek University of Technology, Pyongyang, DPR Korea
Information