Uneingeschränkter Zugang

Current situation and training strategies of preschool students’ skills in the Internet era


Zitieren

Zdanevych, L. V., Kruty, K. L., Tsehelnyk, T., et al. (2020). The Formation of Key Competences in the Training Process of Preschool Education Specialists (Experience of the United Kingdom, Germany, Ukraine). International Journal of Higher Education, 9(7), 196-206. Search in Google Scholar

Huang, J., & Cao, N. (2022). Preschool Education Resource Allocation Model for Index System Evaluation Based on Nonlinear Random Matrix. Mathematical Problems in Engineering, 2022. Search in Google Scholar

Brenneman, K., Lange, A., Nayfeld, I. (2019). Integrating STEM into preschool education; designing a professional development model in diverse settings. Early Childhood Education Journal, 47(1), 15-28. Search in Google Scholar

Li, J. (2021). Research on the Reform and Innovation of Preschool Education Informatization under the Background of Wireless Communication and Virtual Reality. Wireless Communications and Mobile Computing. Search in Google Scholar

Bai, R. (2021). Game Teaching Method in Preschool Education Based on Big Data Technology. Scientific Programming, Pt.13. Search in Google Scholar

JP Martín-Díaz, Montes, M., Codes, M., et al. (2020). Characterisers of Teaching in a Mathematics Problem Posing Lesson in Preschool Education. Sustainability, 12. Search in Google Scholar

Xu, L., & Zhang, Y. (2019). Study on factors affecting preschool education service quality: An empirical analysis based on fuzzy cognitive map and evidential theory. Kybernetes, ahead-of-print(ahead-of-print). Search in Google Scholar

Isitan, S. (2017). Illustrated Storybooks for Preschool Children Published in Turkey Between 1980-2013: A Study Based on Preschool Education Reforms. SIAM Journal on Applied Dynamical Systems, 16(2). Search in Google Scholar

Blmeke, S., Jenen, L., Grassmann, M., et al. (2017). Process mediates structure: Relation of preschool teacher education to preschool teachers’ knowledge. Journal of Educational Psychology, 109(3), págs. 338-354. Search in Google Scholar

Ivanchuk, S., Voznik, A., Dronova, O., et al. (2020). Preparation of Future Preschool Education Specialists for the Use of Modern Educational Technologies. International Journal of Higher Education, 9(5), 28-35. Search in Google Scholar

Fraijo-Sing, B. S., Sierra, N., Tapia-Fonllem, C., et al. (2020). Pictographic Representations of the Word “Nature” in Preschool Education Children. Frontiers in Psychology, 11, 575. Search in Google Scholar

Metaferia, B. K., Futo, J., Drew, R., et al. (2020). Parents’ Beliefs About Play and the Purpose of Preschool Education, Preschoolers’ Home Activity and Executive Functions. Frontiers in Psychology, 11. Search in Google Scholar

Phillips, D. A., Anderson, S., Gormley, W. (2018). The dog that didn’t bark: Preschool education and middle-school attitudes in Tulsa. Applied Developmental Science, 22(1-4), 200-216. Search in Google Scholar

Bernard Spodek, Olivia Saracho. (2015). Preview of the Forthcoming Yearbook in Early Childhood Education: Early Childhood Teacher Education, 11*(1), 2-5. Search in Google Scholar

Elbaum, B. (2020). Developmental Outcomes of Preschool Special Education. Infants and Young Children, 33(1), 3-20. Search in Google Scholar

Salman, Rania C. (2017). Preschool Gifted Education: Perceived Challenges Associated with Program Development. Gifted Child Quarterly, 61. Search in Google Scholar

Zhigang, T. (2021). Research on decision support system of sports assistant teaching and training based on association rules and support vector machine. Journal of Intelligent and Fuzzy Systems, 2, 1-12. Search in Google Scholar

Telikani, A., Gandomi, A. H., Shahbahrami, A. (2020). A survey of evolutionary computation for association rule mining. Information Sciences, 524, 318-352. Search in Google Scholar

Varol Altay, E., Alatas, B. (2020). Performance analysis of multi-objective artificial intelligence optimization algorithms in numerical association rule mining. Journal of Ambient Intelligence and Humanized Computing, 11(8), 3449-3469. Search in Google Scholar

Li, W., Hou, B., Li, X., Qiu, Z., Peng, B., & Tian, Y. (2023). TMLP+SRDANN: A domain adaptation method for EEG-based emotion recognition. Measurement, 207, 112379. Search in Google Scholar

eISSN:
2444-8656
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
Volume Open
Fachgebiete der Zeitschrift:
Biologie, andere, Mathematik, Angewandte Mathematik, Allgemeines, Physik