Araştırma Makalesi

CAN SYMBOLIC COMPUTATION AND FORMALIST SYSTEMS ENHANCE MATH EDUCATION WITH ARTIFICIAL INTELLIGENCE?

Cilt: 26 Sayı: 2 13 Aralık 2024
PDF İndir
EN TR

CAN SYMBOLIC COMPUTATION AND FORMALIST SYSTEMS ENHANCE MATH EDUCATION WITH ARTIFICIAL INTELLIGENCE?

Abstract

In recent years, a solution developed using deep learning methods has been used to solve difficult problems in a field. The capability of deep learning models is that they require large and heavily sampled data sets. Computer Algebra Systems developed over time have made significant progress, especially in the field of symbolic mathematics solutions solved by machine learning. It is a persistent problem how appropriate it is to use such formal systems in some aspects of algorithmic decision-making. In this paper, we discussed the suitability of artificial intelligence applications to formal propositions by evaluating a deep learning study conducted especially in the field of symbolic mathematics and Math education. Symbolic computation systems have a strong potential for enhancing math education. Furthermore, within the framework of the Incompleteness Theorem, to show why the construction of a mathematical grammar is not a complete solution for Mathematics education systems.

Keywords

Kaynakça

  1. Ardon, L. (2022). Reinforcement Learning to Solve NP-hard Problems: an Application to the CVRP. arXiv preprint arXiv:2201.05393.
  2. Bansal, K., Loos, S., Rabe, M., Szegedy, C., & Wilcox, S. (2019, May). Holist: An environment for machine learning of higher order logic theorem proving. In International Conference on Machine Learning (pp. 454-463). PMLR.
  3. Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., ... & Amodei, D. (2020). Language models are few-shot learners. Advances in neural information processing systems, 33, 1877-1901.
  4. Chomsky, N., & Schützenberger, M. P. (1959). The algebraic theory of context-free languages. In Studies in Logic and the Foundations of Mathematics (Vol. 26, pp. 118-161). Elsevier.
  5. England, M. (2018). Machine learning for mathematical software. In Mathematical Software–ICMS 2018: 6th International Conference, South Bend, IN, USA, July 24-27, 2018, Proceedings 6 (pp. 165-174). Springer International Publishing. doi: 10.1007/978-3-319-96418-8_20
  6. Flavio, P., Alberto, T., Alessandro, S. (2023). A Hybrid System for Systematic Generalization in Simple Arithmetic Problems. 289-301. doi: 10.48550/arXiv.2306.17249
  7. Gödel, K. (1931). Über formal unentscheidbare Sätze der Principia Mathematica und verwandter Systeme I. Monatshefte für mathematik und physik, 38, 173-198.
  8. Heid, M. K., Thomas, M. O., & Zbiek, R. M. (2012). How might computer algebra systems change the role of algebra in the school curriculum?. In Third international handbook of mathematics education (pp. 597-641). New York, NY: Springer New York. doi: 10.1007/978-1-4614-4684-2_20

Ayrıntılar

Birincil Dil

İngilizce

Konular

Bilgi Sistemleri Eğitimi , Bilgi Sistemleri (Diğer)

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

13 Aralık 2024

Gönderilme Tarihi

13 Şubat 2024

Kabul Tarihi

7 Ağustos 2024

Yayımlandığı Sayı

Yıl 2024 Cilt: 26 Sayı: 2

Kaynak Göster

APA
Yazar, S. (2024). CAN SYMBOLIC COMPUTATION AND FORMALIST SYSTEMS ENHANCE MATH EDUCATION WITH ARTIFICIAL INTELLIGENCE? Trakya Üniversitesi Sosyal Bilimler Dergisi, 26(2), 487-504. https://doi.org/10.26468/trakyasobed.1435490
AMA
1.Yazar S. CAN SYMBOLIC COMPUTATION AND FORMALIST SYSTEMS ENHANCE MATH EDUCATION WITH ARTIFICIAL INTELLIGENCE? Trakya Üniversitesi Sosyal Bilimler Dergisi. 2024;26(2):487-504. doi:10.26468/trakyasobed.1435490
Chicago
Yazar, Selçuk. 2024. “CAN SYMBOLIC COMPUTATION AND FORMALIST SYSTEMS ENHANCE MATH EDUCATION WITH ARTIFICIAL INTELLIGENCE?”. Trakya Üniversitesi Sosyal Bilimler Dergisi 26 (2): 487-504. https://doi.org/10.26468/trakyasobed.1435490.
EndNote
Yazar S (01 Aralık 2024) CAN SYMBOLIC COMPUTATION AND FORMALIST SYSTEMS ENHANCE MATH EDUCATION WITH ARTIFICIAL INTELLIGENCE? Trakya Üniversitesi Sosyal Bilimler Dergisi 26 2 487–504.
IEEE
[1]S. Yazar, “CAN SYMBOLIC COMPUTATION AND FORMALIST SYSTEMS ENHANCE MATH EDUCATION WITH ARTIFICIAL INTELLIGENCE?”, Trakya Üniversitesi Sosyal Bilimler Dergisi, c. 26, sy 2, ss. 487–504, Ara. 2024, doi: 10.26468/trakyasobed.1435490.
ISNAD
Yazar, Selçuk. “CAN SYMBOLIC COMPUTATION AND FORMALIST SYSTEMS ENHANCE MATH EDUCATION WITH ARTIFICIAL INTELLIGENCE?”. Trakya Üniversitesi Sosyal Bilimler Dergisi 26/2 (01 Aralık 2024): 487-504. https://doi.org/10.26468/trakyasobed.1435490.
JAMA
1.Yazar S. CAN SYMBOLIC COMPUTATION AND FORMALIST SYSTEMS ENHANCE MATH EDUCATION WITH ARTIFICIAL INTELLIGENCE? Trakya Üniversitesi Sosyal Bilimler Dergisi. 2024;26:487–504.
MLA
Yazar, Selçuk. “CAN SYMBOLIC COMPUTATION AND FORMALIST SYSTEMS ENHANCE MATH EDUCATION WITH ARTIFICIAL INTELLIGENCE?”. Trakya Üniversitesi Sosyal Bilimler Dergisi, c. 26, sy 2, Aralık 2024, ss. 487-04, doi:10.26468/trakyasobed.1435490.
Vancouver
1.Selçuk Yazar. CAN SYMBOLIC COMPUTATION AND FORMALIST SYSTEMS ENHANCE MATH EDUCATION WITH ARTIFICIAL INTELLIGENCE? Trakya Üniversitesi Sosyal Bilimler Dergisi. 01 Aralık 2024;26(2):487-504. doi:10.26468/trakyasobed.1435490