The Influence of the Application of Constructivism Philosophy on Elementary School Students’ Learning Independence
Abstract
Background. This study aims to examine the influence of constructivism philosophy application on elementary school students’ learning independence. The rapid changes in educational paradigms emphasize the need for students to actively engage in their learning processes. Constructivism, with its focus on learners building knowledge through experience and reflection, has been identified as a potential catalyst in fostering students’ independence.
Purpose. The objective of this research is to determine how the implementation of constructivist-based learning strategies can impact students’ ability to work autonomously in the learning environment. This research adopts a quasi-experimental method with a pre-test and post-test design.
Method. The sample consists of two groups of elementary school students, with one group receiving constructivist-based instruction and the other group following traditional teaching methods. Data collection involved observation, questionnaires, and tests to measure the level of students’ learning independence before and after the intervention.
Results. The results revealed that the application of constructivist principles significantly improved students’ learning independence, as seen from the increased scores in the post-test and positive feedback from observational data.
Conclusion. This study concludes that constructivist-based learning can effectively enhance students’ independence, suggesting that educators should consider incorporating these strategies into their teaching practices.
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References
Alami, T., & Doostparast, M. (2025). Weighted CART with spatially split rules: A new kernel-based approach in spatial classification trees. Communications in Statistics - Theory and Methods. Scopus. https://doi.org/10.1080/03610926.2025.2473608
Aly, S., Chen, Y., Ahmed, A., Wen, H., & Mehta, T. (2025). Utilization of machine learning algorithm in the prediction of rehospitalization during one-year post traumatic spinal cord injury. Spinal Cord. Scopus. https://doi.org/10.1038/s41393-024-01055-9
Andreou, A., Mavromoustakis, C. X., Song, H. H., Gomez, G. P., & Batalla, J. M. (2025). Transforming ageing in the metaverse: Embracing virtual communities for enhanced well-being and empowerment. Dalam Adv. Metaverse Wirel. Commun. Syst. (hlm. 457–494). Institution of Engineering and Technology; Scopus. https://doi.org/10.1049/PBTE112E_ch16
Bai, N., Wang, X., Han, R., Hou, J., Wang, Q., & Pang, S. (2025). Towards generalizable face forgery detection via mitigating spurious correlation. Neural Networks, 182. Scopus. https://doi.org/10.1016/j.neunet.2024.106909
Chandrashekar, K. K., Srirangan, J., & Irudayaraj, D. (2025). Topological Properties on Neural Networks Using Graph Properties. Circuits, Systems, and Signal Processing, 44(3), 1669–1696. Scopus. https://doi.org/10.1007/s00034-024-02898-6
Chen, J., Zhao, C., Song, P., & Xie, M. (2025). Unified Low-Dimensional Subspace Analysis of Continuous and Binary Variables for Industrial Process Monitoring. IEEE Transactions on Cybernetics, 55(3), 1135–1146. Scopus. https://doi.org/10.1109/TCYB.2024.3524827
De Paz-Cantos, S., González-Marrón, A., Lidón-Moyano, C., Díez-Izquierdo, A., Oñoro, G., & Martínez-Sánchez, J. M. (2025). Use of smartphone, tablet and television during breakfast, lunch, and dinner in children from three months up to five years: Baseline results of the Smart Screen Health project (Spain, 2021-2022). Acta Alimentaria. Scopus. https://doi.org/10.1556/066.2024.00256
Dorhout, B. G., Wezenbeek, N., de Groot, L. C. P. G. M. M., & Grootswagers, P. (2025). Web-Based Exercise and Nutrition Intervention to Improve Leg Muscle Strength and Physical Functioning in Older Adults: Pre-Post Pilot Study. JMIR Formative Research, 9. Scopus. https://doi.org/10.2196/54392
Du, Y., Zeng, B., Wei, Q., Zhang, B., & Hu, H. (2025). Transformer-Mamba-Based Trident-Branch RGB-T Tracker. Dalam Hadfi R., Ito T., Anthony P., Sharma A., & Bai Q. (Ed.), Lect. Notes Comput. Sci.: Vol. 15283 LNAI (hlm. 27–40). Springer Science and Business Media Deutschland GmbH; Scopus. https://doi.org/10.1007/978-981-96-0122-6_4
Ehrenworth, M. (2025). Vocabulary Connections: A Structured Approach to Deepening Students’ Academic and Expressive Language. Dalam Vocabulary Connections: A Structured Approach to Deepening Students’ Academic and Expressive Language (hlm. 215). Taylor and Francis; Scopus. https://doi.org/10.4324/9781003513759
Engström, S., & Lennholm, H. (2025). You just have to take a big leap! Authentic teaching and learning in the technology program at an upper secondary school. International Journal of Technology and Design Education, 35(1), 151–170. Scopus. https://doi.org/10.1007/s10798-024-09902-9
Etcuban, J. O. (2025). The use of ChatGPT in addressing Algebra anxiety and promoting confidence. International Electronic Journal of Mathematics Education, 20(2). Scopus. https://doi.org/10.29333/iejme/16008
Fan, W., & Xu, K. (2025). Unsupervised image categorization based on deep generative models with disentangled representations and von Mises-Fisher distributions. International Journal of Machine Learning and Cybernetics, 16(1), 611–623. Scopus. https://doi.org/10.1007/s13042-024-02265-6
Galema, G., Brouwer, J., Bouwkamp-Timmer, T., Jaarsma, D. A. D. C., Wietasch, G. J. K. G., & Duvivier, R. R. J. (2025). Transitioning to residency: A qualitative study exploring residents’ perspectives on strategies for adapting to residency. BMC Medical Education, 25(1). Scopus. https://doi.org/10.1186/s12909-024-06565-x
Gao, Y., Xing, F., Kang, L., Zhang, M., & Qin, C. (2025). Ultra-Short-Term Wind Power Forecasting Based on DT-DSCTransformer Model. IEEE Access, 13, 22919–22930. Scopus. https://doi.org/10.1109/ACCESS.2025.3537158
Jones, N., Shih, M.-C., Healey, E., Zhai, C. W., Advani, S., Smith-Mclallen, A., Sontag, D., & Kanjilal, S. (2025). Use of Machine Learning to Assess the Management of Uncomplicated Urinary Tract Infection. JAMA Network Open, 8(1). Scopus. https://doi.org/10.1001/jamanetworkopen.2024.56950
Karthiyayini, J., Farooq, Z. S., & Sirisha, P. (2025). Vision Assist—Object Detection for the Blind. Dalam S M., Suresh P., P R., K V., Shirur Y.J.M., & Munavalli J.R. (Ed.), Proc. Int. Conf. Intell. Innov. Technol. Comput., Electr. Electron., IITCEE. Institute of Electrical and Electronics Engineers Inc.; Scopus. https://doi.org/10.1109/IITCEE64140.2025.10915267
Kumar, S., Nayek, R., & Chakraborty, S. (2025). Towards Gaussian Process for operator learning: An uncertainty aware resolution independent operator learning algorithm for computational mechanics. Computer Methods in Applied Mechanics and Engineering, 435. Scopus. https://doi.org/10.1016/j.cma.2024.117664
Lee, Y., & Jeong, J. (2025). TSMixer- and Transfer Learning-Based Highly Reliable Prediction with Short-Term Time Series Data in Small-Scale Solar Power Generation Systems. Energies, 18(4). Scopus. https://doi.org/10.3390/en18040765
Lefeuvre, M., Lu, C., Botero, C. A., & Rutkowska, J. (2025). Variable and mismatching temperature regimes impair song learning in zebra finches. Animal Behaviour, 221. Scopus. https://doi.org/10.1016/j.anbehav.2024.123053
Li, X., Zhang, S., Chen, S., & Xiao, Z. (2025). Through-Wall Multi-Person Action Recognition Using Enhanced YOLOv5 and IR-UWB Radar. IEEE Sensors Journal, 25(3), 5711–5722. Scopus. https://doi.org/10.1109/JSEN.2024.3513983
Li, Z., Shen, S., Shang, F., Huan, Z., Liang, J., & Chen, Y. (2025). Weighted graph convolutional network with feature mask for low back pain prediction. Biomedical Signal Processing and Control, 99. Scopus. https://doi.org/10.1016/j.bspc.2024.106879
Liu, X., Mo, L., & Tang, M. (2025). TinySpiking: A lightweight and efficient python framework for unsupervised learning spiking neural networks. Engineering Research Express, 7(1). Scopus. https://doi.org/10.1088/2631-8695/ada725
Mohammadabadi, M., Akhtarpoor, A., Khezri, A., Babenko, O., Stavetska, R. V., Tytarenko, I., Ievstafiieva, Y., Buchkovska, V., Slynko, V., & Afanasenko, V. (2025). The role and diverse applications of machine learning in genetics, breeding, and biotechnology of livestock and poultry. Agricultural Biotechnology Journal, 16(4), 413–442. Scopus. https://doi.org/10.22103/jab.2025.24662.1644
Mukherjee, S., De Silva, T., Duic, C., Jayakar, G., Keenan, T. D. L., Thavikulwat, A. T., Chew, E., & Cukras, C. (2025). Validation of Deep Learning–Based Automatic Retinal Layer Segmentation Algorithms for Age-Related Macular Degeneration with 2 Spectral-Domain OCT Devices. Ophthalmology Science, 5(3). Scopus. https://doi.org/10.1016/j.xops.2024.100670
Nguyen, T. C., Tang, L. W., Bryant, E., Jobe, A. S., Yu, A. J., Sugiura, Y., & Bui, T. (2025). The neighborhood walk: Introducing first-year medical students to social determinants of health in underserved neighborhoods. BMC Medical Education, 25(1). Scopus. https://doi.org/10.1186/s12909-025-06743-5
Olawade, D. B., Bolarinwa, O. A., Adebisi, Y. A., & Shongwe, S. (2025). The role of artificial intelligence in enhancing healthcare for people with disabilities. Social Science and Medicine, 364. Scopus. https://doi.org/10.1016/j.socscimed.2024.117560
Suganuma, H., Naito, A., Katahira, K., & Kameda, T. (2025). When to stop social learning from a predecessor in an information-foraging task. Evolutionary Human Sciences, 7. Scopus. https://doi.org/10.1017/ehs.2024.29
The Role of Pesantren in Building Socio-Religious Independence of the Sasak Lombok Community during Colonialism. (2025). Journal of Ecohumanism, 4(1), 4064–4075. Scopus. https://doi.org/10.62754/joe.v4i1.6280
Wen, Y., Zhang, G., Wang, K., & Yang, K. (2025). Training Latency Minimization for Model-Splitting Allowed Federated Edge Learning. IEEE Transactions on Network Science and Engineering. Scopus. https://doi.org/10.1109/TNSE.2025.3544313
WSDM 2025—Proceedings of the 18th ACM International Conference on Web Search and Data Mining. (2025). WSDM - Proc. ACM Int. Conf. Web Search Data Min. WSDM 2025 - Proceedings of the 18th ACM International Conference on Web Search and Data Mining. Scopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0-105001698293&partnerID=40&md5=9aee0466201c3f9b5871a06aa85a8e31
Yan, P., Wen, C., Ding, H., Wang, X., & Yang, Y. (2025). The potential of machine learning to predict melting response time of phase change materials in triplex-tube latent thermal energy storage systems. Applied Energy, 390. Scopus. https://doi.org/10.1016/j.apenergy.2025.125863
Yang, Y., Bulut, S., Bukhori, B., Piskorz-Ry?, O., & Chikwe, C. (2025). The Role of Family Routines in Promoting Child Mental Health: A Qualitative Study. Journal of Research and Health, 15(2), 175–184. Scopus. https://doi.org/10.32598/JRH.15.2.2474.1
Zhang, S., Dinavahi, V., & Liang, T. (2025). Towards hydrogen-powered electric aircraft: Physics-informed machine learning based multi-domain modeling and real-time digital twin emulation on FPGA. Energy, 322. Scopus. https://doi.org/10.1016/j.energy.2025.135451
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Copyright (c) 2025 Nina Anis, Aiman Fariq, Alal Chahine

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