Development of Media Matching Box to stimulate symbolic thinking skills in children aged 4-5 years

Iis Uswatun Hasanah (1), Imam Tabroni (2), Benjamin Brunel (3), Milton Alan (4)
(1) Sekolah Tinggi Agama Islam Dr. Kh. Ez. Muttaqien Purwakarta, Indonesia, Indonesia,
(2) Sekolah Tinggi Agama Islam Dr. Kh. Ez. Muttaqien Purwakarta, Indonesia, Indonesia,
(3) Trinity College Dublin, Ireland,
(4) Eurasia International University, Armenia

Abstract

This study aims to develop Matching Box media to improve symbolic thinking skills in children aged 4-5 years at Hidayatul Islamiyah Kindergarten. The development model used in this study is Borg and Gall which has been simplified into 6 stages consisting of: Needs Analysis, Planning, Initial Product Development, Learning Media Revision, Field Testing, Final Media Revision. The developed media was validated by 1 material expert and 1 media expert before being tested on children. The trial subjects of this study were 11 children. The instruments used to collect data are learning achievement tests, and observations. the results of the learning test and pretest observation obtained a classical percentage of 72.7% Developing According to Expectations (BSH) and 27.3% Starting to Develop (MB) and the results of the study test and posttest observation obtaining a classical percentage of 90.9% could be categorized as 'Very Well Developing (BSB)' and 9.1% of children were categorized as 'Beginning to Develop (MB)'. From these results, it can be concluded that the Matching Box media is appropriate to be used to improve the symbolic thinking skills of children aged 4-5 years

Full text article

Generated from XML file

References

Albrecht, E., & Chin, K. J. (2020). Advances in regional anaesthesia and acute pain management: A narrative review. Anaesthesia, 75(S1). https://doi.org/10.1111/anae.14868

Arora, S., Singh, H., Sharma, M., Sharma, S., & Anand, P. (2019). A New Hybrid Algorithm Based on Grey Wolf Optimization and Crow Search Algorithm for Unconstrained Function Optimization and Feature Selection. IEEE Access, 7, 26343–26361. https://doi.org/10.1109/ACCESS.2019.2897325

Bai, B., Guo, Z., Zhou, C., Zhang, W., & Zhang, J. (2021). Application of adaptive reliability importance sampling-based extended domain PSO on single mode failure in reliability engineering. Information Sciences, 546, 42–59. https://doi.org/10.1016/j.ins.2020.07.069

Caniëls, M. C. J., Chiocchio, F., & Van Loon, N. P. A. A. (2019). Collaboration in project teams: The role of mastery and performance climates. International Journal of Project Management, 37(1), 1–13. https://doi.org/10.1016/j.ijproman.2018.09.006

Chen, Y., Zhong, H., Wang, J., Wan, X., Li, Y., Pan, W., Li, N., & Tang, B. (2019). Catalase-like metal–organic framework nanoparticles to enhance radiotherapy in hypoxic cancer and prevent cancer recurrence. Chemical Science, 10(22), 5773–5778. https://doi.org/10.1039/C9SC00747D

Gao, Z., Dang, W., Wang, X., Hong, X., Hou, L., Ma, K., & Perc, M. (2021). Complex networks and deep learning for EEG signal analysis. Cognitive Neurodynamics, 15(3), 369–388. https://doi.org/10.1007/s11571-020-09626-1

Golden, T. D., & Gajendran, R. S. (2019). Unpacking the Role of a Telecommuter’s Job in Their Performance: Examining Job Complexity, Problem Solving, Interdependence, and Social Support. Journal of Business and Psychology, 34(1), 55–69. https://doi.org/10.1007/s10869-018-9530-4

Hassan, M. H., Houssein, E. H., Mahdy, M. A., & Kamel, S. (2021). An improved Manta ray foraging optimizer for cost-effective emission dispatch problems. Engineering Applications of Artificial Intelligence, 100, 104155. https://doi.org/10.1016/j.engappai.2021.104155

He, J., Baxter, S. L., Xu, J., Xu, J., Zhou, X., & Zhang, K. (2019). The practical implementation of artificial intelligence technologies in medicine. Nature Medicine, 25(1), 30–36. https://doi.org/10.1038/s41591-018-0307-0

Hu, L., He, S., Han, Z., Xiao, H., Su, S., Weng, M., & Cai, Z. (2019). Monitoring housing rental prices based on social media:An integrated approach of machine-learning algorithms and hedonic modeling to inform equitable housing policies. Land Use Policy, 82, 657–673. https://doi.org/10.1016/j.landusepol.2018.12.030

Huseien, G. F., & Shah, K. W. (2020). Durability and life cycle evaluation of self-compacting concrete containing fly ash as GBFS replacement with alkali activation. Construction and Building Materials, 235, 117458. https://doi.org/10.1016/j.conbuildmat.2019.117458

Jiang, L., Zhang, L. J., & May, S. (2019). Implementing English-medium instruction (EMI) in China: Teachers’ practices and perceptions, and students’ learning motivation and needs. International Journal of Bilingual Education and Bilingualism, 22(2), 107–119. https://doi.org/10.1080/13670050.2016.1231166

Low, E. S., Ong, P., & Cheah, K. C. (2019). Solving the optimal path planning of a mobile robot using improved Q-learning. Robotics and Autonomous Systems, 115, 143–161. https://doi.org/10.1016/j.robot.2019.02.013

Penconek, T., Tate, K., Bernardes, A., Lee, S., Micaroni, S. P. M., Balsanelli, A. P., De Moura, A. A., & Cummings, G. G. (2021). Determinants of nurse manager job satisfaction: A systematic review. International Journal of Nursing Studies, 118, 103906. https://doi.org/10.1016/j.ijnurstu.2021.103906

Peng, H., Wang, H., Du, B., Bhuiyan, M. Z. A., Ma, H., Liu, J., Wang, L., Yang, Z., Du, L., Wang, S., & Yu, P. S. (2020). Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting. Information Sciences, 521, 277–290. https://doi.org/10.1016/j.ins.2020.01.043

Pfattheicher, S., Nielsen, Y. A., & Thielmann, I. (2022). Prosocial behavior and altruism: A review of concepts and definitions. Current Opinion in Psychology, 44, 124–129. https://doi.org/10.1016/j.copsyc.2021.08.021

Salminen, J., Hopf, M., Chowdhury, S. A., Jung, S., Almerekhi, H., & Jansen, B. J. (2020). Developing an online hate classifier for multiple social media platforms. Human-Centric Computing and Information Sciences, 10(1), 1. https://doi.org/10.1186/s13673-019-0205-6

Song, J., She, J., Chen, D., & Pan, F. (2020). Latest research advances on magnesium and magnesium alloys worldwide. Journal of Magnesium and Alloys, 8(1), 1–41. https://doi.org/10.1016/j.jma.2020.02.003

Van Doren, J., Arns, M., Heinrich, H., Vollebregt, M. A., Strehl, U., & K. Loo, S. (2019). Sustained effects of neurofeedback in ADHD: A systematic review and meta-analysis. European Child & Adolescent Psychiatry, 28(3), 293–305. https://doi.org/10.1007/s00787-018-1121-4

Vial, G. (2019). Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, 28(2), 118–144. https://doi.org/10.1016/j.jsis.2019.01.003

Wang, F., Wang, H., Wang, H., Li, G., & Situ, G. (2019). Learning from simulation: An end-to-end deep-learning approach for computational ghost imaging. Optics Express, 27(18), 25560. https://doi.org/10.1364/OE.27.025560

Wang, S., Chen, X., & Szolnoki, A. (2019). Exploring optimal institutional incentives for public cooperation. Communications in Nonlinear Science and Numerical Simulation, 79, 104914. https://doi.org/10.1016/j.cnsns.2019.104914

Wu, M., Chen, Y., Lin, H., Zhao, L., Shen, L., Li, R., Xu, Y., Hong, H., & He, Y. (2020). Membrane fouling caused by biological foams in a submerged membrane bioreactor: Mechanism insights. Water Research, 181, 115932. https://doi.org/10.1016/j.watres.2020.115932

Yang, Z., Yu, W., Liang, P., Guo, H., Xia, L., Zhang, F., Ma, Y., & Ma, J. (2019). Deep transfer learning for military object recognition under small training set condition. Neural Computing and Applications, 31(10), 6469–6478. https://doi.org/10.1007/s00521-018-3468-3

Zhang, Y., & Jin, Z. (2020). Group teaching optimization algorithm: A novel metaheuristic method for solving global optimization problems. Expert Systems with Applications, 148, 113246. https://doi.org/10.1016/j.eswa.2020.113246

Authors

Iis Uswatun Hasanah
iisuswatunhasanah07@gmail.com (Primary Contact)
Imam Tabroni
Benjamin Brunel
Milton Alan
Hasanah, I. U., Tabroni, I., Brunel, B., & Alan, M. (2023). Development of Media Matching Box to stimulate symbolic thinking skills in children aged 4-5 years. Journal of Computer Science Advancements, 1(1), 1–13. https://doi.org/10.55849/jsca.v1i1.442

Article Details

Most read articles by the same author(s)

1 2 > >> 

Development of Labyrinth Media to Stimulate Prosocial Behavior Skills of 5-6 years old Children in Purwakarta

Cut Mutia Alsafiah, Imam Tabroni, Elladdadi Mark, Kailie Maharjan
Abstract View : 138
Download :51