Renewable Quantum Learning Technology as an Effort to Increase Confidence and Learning Outcomes in Elementary School
Creators
- 1. (Mathematics Education of Department,https://www.iainpare.ac.id/, Indonesia)
- 2. (Education Faculty, http://www.umpar.ac.id/, Indonesia)
Description
The provision of facilities for learning is very necessary for the continuity of education. Through the latest technology in learning, especially quantum learning can increase students' confidence and learning outcomes. This study aims to describe the process of increasing self-confidence and learning outcomes through the implementation of quantum learning. Furthermore, knowing the increase in self-confidence and student learning outcomes through quantum learning. This research was conducted through 2 cycles, including planning, implementation, evaluation, and reflection. Data collection was done through interviews, observations, and tests. A total of 20 elementary school students who became the subject of the study. 2 types of data analysis techniques, namely quantitative data analysis and qualitative data analysis. The results showed an increase in self-confidence and student learning outcomes through the application of quantum learning. The stages of quantum learning include: grow, experience, name, describe, repeat, and celebrate. The application of quantum learning can increase student's self-confidence from 51% to 70% in cycle 1, and increased to 95% in cycle 2. While the average value of learning outcomes in the initial condition is 78.05, increasing to 83.5 in cycle 1, and increased to 90.5 in cycle 2.
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Additional details
References
- R. A. Mashami and G. Gunawan, "The Influence of Sub-Microscopic Media Animation on Students' Critical Thinking Skills Based on Gender," J. Phys. Conf. Ser., vol. 1108, no. 1, 2018, doi: 10.1088/1742-6596/1108/1/012106
- H. Cahyati, A. Muin, and E. Musyrifah, "Efektivitas Teknik SCAMPER dalam Mengembangkan Kemampuan Berpikir Kreatif Matematis Siswa," J. Medives J. Math. Educ. IKIP Veteran Semarang, vol. 2, no. 2, p. 173, 2018, doi: 10.31331/medives.v2i2.641
- S. C. Kim, A. S. Arun, M. E. Ahsen, R. Vogel, and G. Stolovitzky, "The Fermi–Dirac distribution provides a calibrated probabilistic output for binary classifiers," Proc. Natl. Acad. Sci. U. S. A., vol. 118, no. 34, 2021, doi: 10.1073/pnas.2100761118
- D. Dharminder and K. P. Chandran, "LWESM: learning with error based secure communication in mobile devices using fuzzy extractor," J. Ambient Intell. Humaniz. Comput., vol. 11, no. 10, 2020, doi: 10.1007/s12652-019-01675-7
- Imran, S. Ahmad, and D. H. Kim, "Quantum GIS Based Descriptive and Predictive Data Analysis for Effective Planning of Waste Management," IEEE Access, vol. 8, 2020, doi: 10.1109/ACCESS.2020.2979015.
- J. Zhang, X. Zhu, and J. Bao, "Denoising Autoencoder Aided Spectrum Reconstruction for Colloidal Quantum Dot Spectrometers," IEEE Sens. J., vol. 21, no. 5, 2021, doi: 10.1109/JSEN.2020.3039973.
- L. Lamata, "Quantum reinforcement learning with quantum photonics," Photonics, vol. 8, no. 2. 2021, doi: 10.3390/photonics8020033
- M. Altın and A. S. Saracaloğlu, "The effect of Quantum learning model on foreign language speaking skills, speaking anxiety and self-efficacy of secondary school students," J. Lang. Linguist. Stud., vol. 15, no. 3, 2019, doi: 10.17263/jlls.631550