Project-Based Learning in Teaching Diode Bias Characteristics to Vocational Students

Ratu Athaya; Fathimatuzzahro Fathimatuzzahro; Afrian Afrian; Zahira Adimaya Fitria; Rayanti Nur Fitriani

doi:10.58797/cser.030102

Authors

Ratu Athaya Department of Physics Education, Faculty of Mathematics and Natural Science, Universitas Negeri Jakarta, Jl. Rawamangun Muka, Jakarta 13220, Indonesia
Fathimatuzzahro Fathimatuzzahro Department of Physics Education, Faculty of Mathematics and Natural Science, Universitas Negeri Jakarta, Jl. Rawamangun Muka, Jakarta 13220, Indonesia
Afrian Afrian Department of Physics Education, Faculty of Mathematics and Natural Science, Universitas Negeri Jakarta, Jl. Rawamangun Muka, Jakarta 13220, Indonesia
Zahira Adimaya Fitria Department of Physics Education, Faculty of Mathematics and Natural Science, Universitas Negeri Jakarta, Jl. Rawamangun Muka, Jakarta 13220, Indonesia
Rayanti Nur Fitriani Department of Physics Education, Faculty of Mathematics and Natural Science, Universitas Negeri Jakarta, Jl. Rawamangun Muka, Jakarta 13220, Indonesia

DOI:

https://doi.org/10.58797/cser.030102

Keywords:

diode biass characteristics, project based learning, vocational students

Abstract

Comprehending diode bias characteristics is an essential skill for vocational students in electronics, serving as a foundation for understanding more intricate circuit behaviors. This article outlines the creation and execution of a Project-Based Learning (PBL) model designed to assist students in comprehending the idea of diode bias, encompassing both forward and reverse bias operations. The instructional design was created to promote active learning via project activities, including the assembly of basic diode circuits, observation of their behavior, and presentation of results. The PBL framework was organized into distinct stages: problem identification, planning, prototyping, testing, and reflection. This approach seeks to enhance students' conceptual comprehension and practical application of semiconductor principles through the integration of real-world tasks and collaborative learning. The development process encompasses instructional materials like worksheets, circuit kits, and reflection notebooks. This article enhances vocational learning methodologies by offering a contextual, practical method for teaching abstract electronic topics.

References

Dowson, D., Unterhitzenberger, D. C., & Bryde, P. D. J. (2024). Facilitating and improving learning in projects: Evidence from a lean approach. International Journal of Project Management, 42(1), 102559–102559. https://doi.org/10.1016/j.ijproman.2024.102559

Fernández‐Sánchez, A., Lorenzo‐Castiñeiras, J., & Sánchez‐Bello, A. (2024). Navigating the Future of Pedagogy: The Integration of AI Tools in Developing Educational Assessment Rubrics. European Journal of Education. https://doi.org/10.1111/ejed.12826

González‐Cortés, J. J., Cantero, D., & Ramírez, M. (2024). Project‐Based Learning in Bioprocess Engineering: MATLAB Software as a Tool for Industrial‐Scale Bioreactor Design. Computer Applications in Engineering Education, 33(1). https://doi.org/10.1002/cae.22811

Halawa, S., Lin, T.-C., & Hsu, Y.-S. (2024). Exploring instructional design in K-12 STEM education: a systematic literature review. International Journal of STEM Education, 11(1). https://doi.org/10.1186/s40594-024-00503-5

Ilić, S., Virtanen, P., Crawford, D., Heikkilä, T. T., & Bergeret, F. S. (2024). Superconducting diode effect in diffusive superconductors and Josephson junctions with Rashba spin-orbit coupling. Physical Review. B./Physical Review. B, 110(14). https://doi.org/10.1103/physrevb.110.l140501

Kett, N., Spray, E., Rutherford, N., & Rendoth, T. (2024). Integration of simulation technology with assessment in initial teacher education. Australasian Journal of Educational Technology, 40(4), 155–172. https://doi.org/10.14742/ajet.9450

Lui, D., Fields, D. A., & Kafai, Y. B. (2024). Collaborative Troubleshooting in STEM: A Case Study of High School Students Finding and Fixing Code, Circuit and Craft Challenges in Electronic Textiles. Cognition and Instruction, 42(3), 1–40. https://doi.org/10.1080/07370008.2024.2334697

Luo, W., Gu, Y., Zhang, J., Qiang, L., He, L., Tang, B., Wan, Q., Wu, K., Guo, Y., Xing, S., Li, Y., & Zhang, P. (2024). Computational study of cathode plasma dynamics in high-power electron beam diodes by particle-in-cell simulations. Physics of Plasmas, 31(10). https://doi.org/10.1063/5.0216523

Mamor, M., Bouziane, K., Chakir, H., & Ruterana, P. (2024). Analysis of barrier inhomogeneities in Ti/p–type strained Si0.95Ge0.05 Schottky diodes using reverse current-voltage characteristics. Materials Science in Semiconductor Processing, 176, 108314. https://doi.org/10.1016/j.mssp.2024.108314

Manyakhin, F. I., Varlamov, D. O., Krylov, V. P., Morketsova, L. O., Skvortsov, A. A., & Nikolaev, V. K. (2024). Physico−mathematical model of the voltage−current characteristics of light-emitting diodes with quantum wells based on the Sah−Noyce−Shockley recombination mechanism. Journal of Semiconductors, 45(8), 082102–082102. https://doi.org/10.1088/1674-4926/23120044

Qi, S., Ge, J., Ji, C., Ai, Y., Ma, G., Wang, Z., Cui, Z., Liu, Y., Wang, Z., & Wang, J. (2025). High-temperature field-free superconducting diode effect in high-Tc cuprates. Nature Communications, 16(1). https://doi.org/10.1038/s41467-025-55880-4

Sheikh, W. (2024). A multimodal pedagogical approach to teaching electromagnetics. Computer Applications in Engineering Education, 32(5). https://doi.org/10.1002/cae.22758

So, V., Suganthi, M. D., Menon, A., Zhu, M., Zhuravel, R., Pu, H., Wolynes, P. G., Onuchic, J. N., & Pagano, G. (2024). Trapped-ion quantum simulation of electron transfer models with tunable dissipation. Science Advances, 10(51). https://doi.org/10.1126/sciadv.ads8011

Song , S., & Lai, Y. C. (2024). Evaluating the Impact of the ARCS Motivational Model on Student Engagement in Blended Learning Environments: A Mixed-Methods Study among Vocational College Students. Evolutionary Studies in Imaginative Culture, 997–1016. https://doi.org/10.70082/esiculture.vi.2492

Soysal, Y. (2024). Science teachers’ conceptual perspectives on scientific experiments: a metaphorical representation. Research in Science & Technological Education, 1–26. https://doi.org/10.1080/02635143.2024.2440391

Sozański, K. (2024). Low-Cost Hardware Analog and Digital Real-Time Circuit Simulators for Developing Power Electronics Control Circuits. Energies, 17(24), 6359. https://doi.org/10.3390/en17246359

Wang, F., Gao, C., Ding, G., Yu, C., Wang, Z., Wang, X., Feng, Q., Yu, P., Zuo, P., Chen, W., Wang, Y., Jia, H., Chen, H., Zhang, B., & Wang, Z. (2024). Achieving ultralow leakage current in Schottky-MIS cascode anode lateral field-effect diode based on AlGaN/GaN HEMT. Science China Information Sciences, 68(1). https://doi.org/10.1007/s11432-024-4197-y

Weber, J., & Wilhelm, T. (2024). Contributing factors to the improvement of conceptual understanding in a computer-based intervention in Newtonian dynamics. Physical Review Physics Education Research, 20(2). https://doi.org/10.1103/physrevphyseducres.20.020130

Xiao, J., Wang, Y., Wu, J., Yuan, L., Tai, H., & Jiang, Y. (2024). Suppressing the Dark Current Under Forward Bias for Dual‐Mode Organic Photodiodes. Laser & Photonics Reviews, 19(4). https://doi.org/10.1002/lpor.202400920

Zhang, Y., Han, H., Dou, S., Wu, X., Qiu, J., Nie, B., & Wei, R. (2024). Diode characteristics of gas flow through conical nanochannels at atmospheric pressure. Physics of Fluids, 36(11). https://doi.org/10.1063/5.0239419

Project-Based Learning in Teaching Diode Bias Characteristics to Vocational Students

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