Teaching Reform of "DSP Technology and Its Applications" Based on the OBE-SRT Synergy Mechanism

Authors

  • Xiuguo Zou College of Smart Agriculture, Nanjing Agricultural University, Nanjing 211800, China Author
  • Yilei Lv College of Smart Agriculture, Nanjing Agricultural University, Nanjing 211800, China Author
  • Shixiu Zhang College of Smart Agriculture, Nanjing Agricultural University, Nanjing 211800, China Author
  • Hongfei Chen College of Smart Agriculture, Nanjing Agricultural University, Nanjing 211800, China Author
  • Zicheng Qin College of Smart Agriculture, Nanjing Agricultural University, Nanjing 211800, China Author
  • Yan Qian College of Smart Agriculture, Nanjing Agricultural University, Nanjing 211800, China; College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 211800, China Author

DOI:

https://doi.org/10.65638/2978-5634.2025.01.11

Keywords:

Outcome-Based Education (OBE), Student Research Training (SRT), DSP (Digital Signal Processor) technology, Curriculum reform, Engineering education accreditation, Project-driven teaching

Abstract

This study deeply integrates the concept of Outcome-Based Education (OBE) with Student Research Training (SRT) projects, systematically reconstructs the teaching system of "DSP (Digital Signal Processor) Technology and Its Applications", which is a core course for electronic information majors. While OBE and Project-based Learning (PBL) have been widely explored, a deep synergy mechanism that systematically maps SRT project tasks directly onto hierarchical OBE learning outcomes, supported by a data-driven intelligent evaluation feedback loop, was notably lacking in previous reforms. Guided by industrial demands and engineering education accreditation standards, the research reversely designs and refines three-level OBE learning objectives, decomposes SRT tasks, and organically integrates them into the course's theoretical teaching and practical links, and implements an intelligent multi-source evaluation system. The results show that after the reform, the average course score increased significantly by 10.37 points, and the excellent rate rose by 19 percentage points. Three innovative mechanisms were developed: a dynamic content adaptation mechanism, a trinity collaborative teaching model, and a learning analytics-driven evaluation system. To address challenges such as project integration depth and teacher workload, optimization strategies, including a hierarchical project library and a refined innovation evaluation model, are proposed. This study provides a replicable practical paradigm and theoretical reference for in-depth reform of core courses in electronic information majors in the background of engineering education accreditation.

References

Wang, B., Jiang, Y., Lv, H., & Wei, Y. (2023). Employment skills as perceived and evaluated by employers and engineering students based on the demands of industry. Journal of Chinese College Student Employment, (05), 41-51.

Trevelyan, J. (2019). Transitioning to engineering practice. European Journal of Engineering Education, 44(6), 821-837. https://doi.org/10.1080/03043797.2019.1681631

Garousi, V., Giray, G., Tuzun, E., Catal, C., & Felderer, M. (2020). Closing the gap between software engineering education and industrial needs. IEEE Software, 37(2), 68-77. https://doi.org/10.1109/MS.2018.2880823

Voas, J., Kuhn, R., Paulsen, C., & Schaffer, K. (2018). Educating Next-Gen Computer Scientists. Computer, 51(1), 80-88. https://doi.org/10.1109/MC.2018.1151019

Shen, J., Li, T., & Wu, M. (2020). The new engineering education in China. Procedia Computer Science, 172, 886-895. https://doi.org/10.1016/j.procs.2020.05.128

Fleming, G. C., Klopfer, M., Katz, A., & Knight, D. (2024). What engineering employers want: An analysis of technical and professional skills in engineering job advertisements. Journal of Engineering Education, 113(2), 251-279. https://doi.org/10.1002/jee.20581

Gratchev, I., Howell, S., & Stegen, S. (2024). Academics’ perception of final examinations in engineering education. Australasian Journal of Engineering Education, 29(1), 20-29. https://doi.org/10.1080/22054952.2023.2284484

Spady, W. G. (1994). Outcome-Based Education: Critical Issues and Answers. American Association of School Administrators, 1801 North Moore Street, Arlington, VA 22209 (Stock No. 21-00488; $18.95 plus postage). https://eric.ed.gov/?id=ED380910

Syeed, M. M. M., Shihavuddin, A. S. M., Uddin, M. F., Hasan, M., & Khan, R. H. (2022). Outcome based education (OBE): Defining the process and practice for engineering education. IEEE Access, 10, 119170-119192. https://doi.org/10.1109/ACCESS.2022.3219477

Qian, Y., Li, C. X., Zou, X. G., Feng, X. B., Xiao, M. H., & Ding, Y. Q. (2022). Research on predicting learning achievement in a flipped classroom based on MOOCs by big data analysis. Computer Applications in Engineering Education, 30(1), 222-234. https://doi.org/10.1002/cae.22452

Li, C., Zhao, K., Yan, M., Zou, X., Xiao, M., & Qian, Y. (2023). Research on the big data analysis of MOOCs in a flipped classroom based on attention mechanism in deep learning model. Computer Applications in Engineering Education, 31(6), 1867-1882. https://doi.org/10.1002/cae.22678

International Engineering Alliance (IEA). Graduate Attributes and Professional Competencies (Version 4, 2021.1). Wellington, New Zealand. Available at: https://www.ieagreements.org/assets/Uploads/IEA-Graduate-Attributes-and-Professional-Competencies-2021.1-Sept-2021.pdf

China Engineering Education Accreditation Association (CEEAA). (2024). Announcement on the release of the Engineering Education Accreditation Standards (2024 Edition). Retrieved from: https://www.ceeaa.org.cn/gcjyzyrzxh/xwdt/tzgg56/677023/index.html

Picard, C., Hardebolle, C., Tormey, R., & Schiffmann, J. (2022). Which professional skills do students learn in engineering team-based projects?. European Journal of Engineering Education, 47(2), 314-332. https://doi.org/10.1080/03043797.2021.1920890

Huang, C., Zhong, M., Ye, N., Dong, J., Huang, F., & Sun, K. (2019). Cultivating Students’ Innovative Ability by Scientific Research Projects. In 2nd International Seminar on Education Research and Social Science (ISERSS 2019) (pp. 613-615). Atlantis Press. https://doi.org/10.2991/iserss-19.2019.241

Kimpton, C., & Maynard, N. (2024). Factors shaping teamwork skills development in tertiary engineering education: a systematic literature review. European Journal of Engineering Education, 50(2), 253-280. https://doi.org/10.1080/03043797.2024.2357343

Downloads

Published

2025-12-12

Issue

Section

Articles