Accesso libero

Teaching Strategies and Student Performance in Combining Mathematics Teaching and Data Mining Techniques in Higher Education

  
03 set 2024
INFORMAZIONI SU QUESTO ARTICOLO

Cita
Scarica la copertina

Aljawarneh, S. A. (2020). Reviewing and exploring innovative ubiquitous learning tools in higher education. Journal of computing in higher education, 32(1), 57-73. Search in Google Scholar

Decuypere, M., Grimaldi, E., & Landri, P. (2021). Introduction: Critical studies of digital education platforms. Critical Studies in Education, 62(1), 1-16. Search in Google Scholar

Pornpongtechavanich, P., & Wannapiroon, P. (2021). Intelligent interactive learning platform for seamless learning ecosystem to enhance digital citizenship’s lifelong learning. International Journal of Emerging Technologies in Learning (IJET), 16(14), 232-248. Search in Google Scholar

Mohammed, S., & Kinyó, L. (2020). Constructivist theory as a foundation for the utilization of digital technology in the lifelong learning process. Turkish Online Journal of Distance Education, 21(4), 90-109. Search in Google Scholar

Romero, C., & Ventura, S. (2020). Educational data mining and learning analytics: An updated survey. Wiley interdisciplinary reviews: Data mining and knowledge discovery, 10(3), e1355. Search in Google Scholar

Slater, S., Joksimović, S., Kovanovic, V., Baker, R. S., & Gasevic, D. (2017). Tools for educational data mining: A review. Journal of Educational and Behavioral Statistics, 42(1), 85-106. Search in Google Scholar

Dutt, A., Ismail, M. A., & Herawan, T. (2017). A systematic review on educational data mining. Ieee Access, 5, 15991-16005. Search in Google Scholar

Abu Saa, A., Al-Emran, M., & Shaalan, K. (2019). Factors affecting students’ performance in higher education: a systematic review of predictive data mining techniques. Technology, Knowledge and Learning, 24(4), 567-598. Search in Google Scholar

Namoun, A., & Alshanqiti, A. (2020). Predicting student performance using data mining and learning analytics techniques: A systematic literature review. Applied Sciences, 11(1), 237. Search in Google Scholar

Khasanah, A. U. (2017, June). A comparative study to predict student’s performance using educational data mining techniques. In IOP Conference Series: Materials Science and Engineering (Vol. 215, No. 1, p. 012036). IOP Publishing. Search in Google Scholar

Hooda, M., Rana, C., Dahiya, O., Shet, J. P., & Singh, B. K. (2022). Integrating LA and EDM for improving students Success in higher Education using FCN algorithm. Mathematical Problems in Engineering, 2022(1), 7690103. Search in Google Scholar

Song, C. (2022). Educational Information Refinement with Application Using Massive‐Scale Data Mining. Mathematical Problems in Engineering, 2022(1), 2372723. Search in Google Scholar

Yağcı, M. (2022). Educational data mining: prediction of students’ academic performance using machine learning algorithms. Smart Learning Environments, 9(1), 11. Search in Google Scholar

Angeli, C., Howard, S. K., Ma, J., Yang, J., & Kirschner, P. A. (2017). Data mining in educational technology classroom research: Can it make a contribution?. Computers & Education, 113, 226-242. Search in Google Scholar

Khan, A., & Ghosh, S. K. (2021). Student performance analysis and prediction in classroom learning: A review of educational data mining studies. Education and information technologies, 26(1), 205-240. Search in Google Scholar

Reddy, B. R. (2019). A Brief Analysis of the Key Technologies and Applications of Educational Data Mining on Online Learning Platform. International Journal of Research, 8(5), 2398-2402. Search in Google Scholar

Yang, F., & Li, F. W. (2018). Study on student performance estimation, student progress analysis, and student potential prediction based on data mining. Computers & Education, 123, 97-108. Search in Google Scholar

Karaboğa, H. A., Akogul, S., & Demir, I. (2022). Classification of Students’ Mathematical Literacy Score Using Educational Data Mining: PISA 2015 Turkey Application. Cumhuriyet Science Journal, 43(3), 543-549. Search in Google Scholar

Chauhan Singh Alok.(2022).Modeling and Predicting Student Academic Performance in Higher Education Using Data Mining Techniques.International Journal of Software Innovation (IJSI)(1),1-10. Search in Google Scholar

Chen Zikang, Yang Ruotong, Zhang Shengfu, Norton Tomas, Shen Mingxia, Wang Feng & Lu Mingzhou. (2024). Recognizing pawing behavior of prepartum doe using semantic segmentation and motion history image (MHI) features.Expert Systems With Applications122829-. Search in Google Scholar

Marcos Roberto e Souza & Helio Pedrini.(2019).Motion energy image for evaluation of video stabilization.The Visual Computer: International Journal of Computer Graphics(1),1769-1781. Search in Google Scholar

RAJKUMAR RAJ & Dr. M V Sudhamani.(2019).Retrieval of Images using Combination of Features as Color, Color Moments and Hu Moments.Advances In Image and Video Processing(5),09-21. Search in Google Scholar

Fangzhen Ge, Xing Hou, Debao Chen, Longfeng Shen & Huaiyu Liu.(2024).A dynamic multi-objective evolutionary algorithm based on Mahalanobis distance and intra-cluster individual correlation rectification. Information Sciences120922-120922. Search in Google Scholar

Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
Argomenti della rivista:
Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro