Exploration of the Reform of Comprehensive Practice Course in Advanced Programming Driven by Large Models
Research Article  ·  Published: 25 December 2025
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Frontiers in Educational Innovation and Research
Volume 1, Issue 3, 2025: 81-91
Research Article Open Access

Exploration of the Reform of Comprehensive Practice Course in Advanced Programming Driven by Large Models

1 School of Information Science and Technology, Beijing University of Technology, Beijing 100124, China
* Corresponding Author: Nan Guo, [email protected]
Volume 1, Issue 3

Article Information

Abstract

The rapid advancement of AI and large language models has placed newer and higher demands on comprehensive programming practice courses in higher education. Significant shifts in students' learning styles, knowledge acquisition channels, and innovative capabilities have rendered traditional curriculum content and teaching methods inadequate for meeting the talent development requirements of the new era. This paper thoroughly examines the profound impact of the widespread adoption of AI technologies on the curriculum system and proposes a systematic reform framework centered on "AI empowerment, competency orientation, and student-centered approaches." By integrating AI tools into the course, it aims to enhance the efficiency and innovation of students' programming practice, strengthen their ability to use intelligent tools rationally and critically, emphasize interdisciplinary integration and engineering ethics, and ultimately foster students' capacity to solve complex engineering problems systematically.

Graphical Abstract

Exploration of the Reform of Comprehensive Practice Course in Advanced Programming Driven by Large Models

Keywords

artificial intelligence large language models curriculum reform competency-oriented

Data Availability Statement

Data will be made available on request.

Funding

This work was supported by the National Natural Science Foundation of China under Grant 62303027.

Conflicts of Interest

The authors declare no conflicts of interest.

Ethical Approval and Consent to Participate

Not applicable.

References

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Cite This Article

APA Style
Guo, N., Han, B., & Qiao, J. (2025). Exploration of the Reform of Comprehensive Practice Course in Advanced Programming Driven by Large Models. Frontiers in Educational Innovation and Research, 1(3), 81–91. https://doi.org/10.62762/FEIR.2025.722615
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TY  - JOUR
AU  - Guo, Nan
AU  - Han, Bing
AU  - Qiao, Junfei
PY  - 2025
DA  - 2025/12/25
TI  - Exploration of the Reform of Comprehensive Practice Course in Advanced Programming Driven by Large Models
JO  - Frontiers in Educational Innovation and Research
T2  - Frontiers in Educational Innovation and Research
JF  - Frontiers in Educational Innovation and Research
VL  - 1
IS  - 3
SP  - 81
EP  - 91
DO  - 10.62762/FEIR.2025.722615
UR  - https://www.icck.org/article/abs/FEIR.2025.722615
KW  - artificial intelligence
KW  - large language models
KW  - curriculum reform
KW  - competency-oriented
AB  - The rapid advancement of AI and large language models has placed newer and higher demands on comprehensive programming practice courses in higher education. Significant shifts in students' learning styles, knowledge acquisition channels, and innovative capabilities have rendered traditional curriculum content and teaching methods inadequate for meeting the talent development requirements of the new era. This paper thoroughly examines the profound impact of the widespread adoption of AI technologies on the curriculum system and proposes a systematic reform framework centered on "AI empowerment, competency orientation, and student-centered approaches." By integrating AI tools into the course, it aims to enhance the efficiency and innovation of students' programming practice, strengthen their ability to use intelligent tools rationally and critically, emphasize interdisciplinary integration and engineering ethics, and ultimately foster students' capacity to solve complex engineering problems systematically.
SN  - 3068-5664
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 
BibTeX Format
Compatible with LaTeX, BibTeX, and other reference managers
@article{Guo2025Exploratio,
  author = {Nan Guo and Bing Han and Junfei Qiao},
  title = {Exploration of the Reform of Comprehensive Practice Course in Advanced Programming Driven by Large Models},
  journal = {Frontiers in Educational Innovation and Research},
  year = {2025},
  volume = {1},
  number = {3},
  pages = {81-91},
  doi = {10.62762/FEIR.2025.722615},
  url = {https://www.icck.org/article/abs/FEIR.2025.722615},
  abstract = {The rapid advancement of AI and large language models has placed newer and higher demands on comprehensive programming practice courses in higher education. Significant shifts in students' learning styles, knowledge acquisition channels, and innovative capabilities have rendered traditional curriculum content and teaching methods inadequate for meeting the talent development requirements of the new era. This paper thoroughly examines the profound impact of the widespread adoption of AI technologies on the curriculum system and proposes a systematic reform framework centered on "AI empowerment, competency orientation, and student-centered approaches." By integrating AI tools into the course, it aims to enhance the efficiency and innovation of students' programming practice, strengthen their ability to use intelligent tools rationally and critically, emphasize interdisciplinary integration and engineering ethics, and ultimately foster students' capacity to solve complex engineering problems systematically.},
  keywords = {artificial intelligence, large language models, curriculum reform, competency-oriented},
  issn = {3068-5664},
  publisher = {Institute of Central Computation and Knowledge}
}

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