A Hierarchical Probe Evaluation Method for Teaching Effect of University Engineering Courses Based on the Keypoints of Knowledge
- DOI
- 10.2991/978-2-38476-214-9_45How to use a DOI?
- Keywords
- University courses; Teaching evaluation; Keypoints of knowledge; Probe; Hierarchy
- Abstract
It has been five years since China's higher education entered the stage of universal education. With the increase of the gross enrollment rate of college students, the differences of students who choose courses jointly have increased significantly. The traditional average evaluation method of all-aspect framework tends to weaken the evaluation, supervision and help of course teaching. In this paper, a probe deep detection method is proposed. The key knowledge points of the course are selected, and the position of each student's learning effect is evaluated by nine levels. The selection principle of key knowledge points and the implementation method of probe evaluation are put forward. Taking the Mechanics of Materials and Pumps and Compressors of two university engineering courses as examples, the construction idea of hierarchy criterion is demonstrated.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Guangfan Gao AU - Mingjun Pang AU - Jian Peng AU - Yi Lu PY - 2024 DA - 2024/02/21 TI - A Hierarchical Probe Evaluation Method for Teaching Effect of University Engineering Courses Based on the Keypoints of Knowledge BT - Proceedings of the 3rd International Conference on Education, Language and Art (ICELA 2023) PB - Atlantis Press SP - 376 EP - 384 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-214-9_45 DO - 10.2991/978-2-38476-214-9_45 ID - Gao2024 ER -