Published 2025-12-12
Keywords
- Outcome-Based Education (OBE),
- Student Research Training (SRT),
- DSP (Digital Signal Processor) technology,
- Curriculum reform,
- Engineering education accreditation
- Project-driven teaching ...More
How to Cite
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