Volume 2,Issue 8
Agent 赋能高职院校教学的探索与实践
智能Agent 技术为高职院校教学改革提供了新路径。本研究构建了" 四维赋能" 应用框架，从个性化学习路径规划、智能化实训指导、自动化过程性评价和教师AI 教学能力提升四个维度系统设计智能Agent 教学应用方案。基于浙江省某高职院校的准实验研究表明，采用智能Agent 辅助教学的实验组学生课程考核通过率较对照组提升15.3个百分点，学习满意度达4.23分（满分5分），效应量达到大效应水平。研究为高职院校建筑类专业的数字化教学改革提供了理论参考与实践借鉴。
[1] Wang J, Liu H. Large Language Models as Agents in Educational Settings: Capabilities, Limitations, and Future Directions[J]. arXiv preprint arXiv:2403.19752, 2024.
[2] Xi N, Chen M, et al. From Passive Tools to Active Agents: Redefining Intelligent Educational Systems with LLM-based AI Agents[C]//Proceedings of the ACM Conference on AI Education. New York: ACM, 2023: 1-12.
[3] 刘辉. 人工智能赋能职业教育教学改革的路径与策略研究[J]. 中国职业技术教育, 2024(15): 45-52.
[4] 教育部. 2022 年全国教育事业发展统计公报[R]. 北京: 教育部, 2023.
[5] 徐丹丹, 李明. AI 驱动的高职课堂教学模式创新研究—— 基于浙江省高职院校的实践探索[J]. 中国远程教育, 2025(3): 62-69.
[6] 祝雪珂, 陈立群. 人工智能时代建筑类课程教学模式重构研究[J]. 职教论坛, 2024(8): 58-65.
[7] 黄荣怀, 周跃良. 教育数字化转型背景下AI 赋能职业教育的路径与策略[J]. 华东师范大学学报( 教育科学版), 2024(4): 12-23.
[8] Mishra P, Koehler M J. Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge[J]. Teachers College Record, 2006, 108(6): 1017-1054.
[9] Vygotsky L S. Mind in Society: The Development of Higher Psychological Processes[M]. Cambridge: Harvard University Press, 1978.
[10] Spady W G. Outcome-Based Education: Critical Issues and Answers[M]. Arlington: American Association of School Administrators, 1994.
[11] Xue L, et al. Teachers' Adoption of AI in Education: A Systematic Review[J]. Interactive Learning Environments, 2025: 1-18.
[12] Zawacki-Richter O, et al. Systematic Reviews in Educational Research: A Meta-analysis of Applications of AI in Higher Education[J]. International Journal of Educational Technology in Higher Education, 2019, 16(1): 1-22.
[13] 中国教育科学研究院. 2024 年全国高等职业教育质量年度报告[R]. 北京: 中国教育科学研究院, 2024.
[14] 阚阅, 周杰. 人工智能赋能职教师资培养的逻辑、路径与策略[J]. 远程教育杂志, 2025(2): 34-42.
[15] Holmes W, et al. Artificial Intelligence in Education: Promise and Implications for Teaching and Learning[M]. Boston: Center for Curriculum Redesign, 2019.