location:Home > 2023 Vol.6 Dec.N06 > Research on the Construction of the Assessment System for University Characteristic Education Courses - Taking the Course of

2023 Vol.6 Dec.N06

  • Title: Research on the Construction of the Assessment System for University Characteristic Education Courses - Taking the Course of
  • Name: Pingping Jiao
  • Company: University of Sanya,Sanya,Hainan,572022,China
  • Abstract:

    This study takes the course "Artificial Intelligence Technology and Applications" as an example to explore the construction of a scientific, reasonable, fair and effective assessment system. By analyzing the development and student needs in the field of artificial intelligence, a comprehensive and effective assessment system has been proposed to cultivate students' ability to apply artificial intelligence technology and evaluate their comprehensive performance in course learning. Specifically, it includes designing diversified assessment methods and clear evaluation standards. At the same time, address the challenges faced by the assessment system, such as fairness issues and the development of evaluation standards. By collaborating with other teachers, sharing experiences and resources, and continuously improving and improving the assessment system, a more scientific, fair, and effective assessment system can be constructed, providing strong support and guidance for students' learning and career development.


  • Keyword: University characteristics; Educational curriculum; Assessment system; Artificial Intelligence Technology and Applications
  • DOI: 10.12250/jpciams2023090804
  • Citation form: Pingping Jiao.Research on the Construction of the Assessment System for University Characteristic Education Courses - Taking the Course of [J]. Computer Informatization and Mechanical System,2023,Vol.6,pp.16-20
Reference:

Reference

[1] Naveh G , Bykhovsky D .Online Peer Assessment in Undergraduate Electrical Engineering Course[J].IEEE Transactions on Education, 2021,64(1):58-65.

[2] KAKA, HUSSAM, ZHANG, EUAN, KHAN, NAZIR. Artificial Intelligence and Deep Learning in Neuroradiology: Exploring the New Frontier[J]. Canadian Association of Radiologists journal,2021,72(1):35-44.

[3] VIERE, TOBIAS, AMOR, BEN, BERGER, NICOLAS, et al. Teaching life cycle assessment in higher education[J]. The international journal of life cycle assessment,2021,26(3):511-527.


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