Teaching Research-Based on Case Scenario for Multi-Mode Assessment Program Design Course
- DOI
- 10.2991/assehr.k.200205.010How to use a DOI?
- Keywords
- case-driven, wisdom classroom, practical ability, program design
- Abstract
Program design has been increasing significantly due to the rapid development of artificial intelligence and big data, which renders our need for highly qualified programmers extremely urgent. The traditional teaching mode is rigid, in which teachers mainly teach and students only use the examples given in class to further enhance their study. Therefore, besides an examination paper being crucial, it also greatly hinders the advance and development of students’ innovative and practical ideas and skills. In this paper, we propose a new teaching mode of multi-mode assessment program design course that aims to solve these problems based on case scenario. More concretely, we put students in a real industrial field environment, and they simulate the actual scene and make corresponding feedback plan. In this way, we form a set of teaching process with students as the main body, teachers’ and students’ multi-stage mutual evaluation as the standard around the case scenario. In general, it is proved that this teaching mode can improve students’ self-learning ability, teamwork awareness and innovative ability by the teaching practice of advanced program design course.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Tao Gao AU - Zhaoyun Sun AU - Ting Chen AU - Xingle Feng PY - 2020 DA - 2020/02/13 TI - Teaching Research-Based on Case Scenario for Multi-Mode Assessment Program Design Course BT - Proceedings of the Third International Conference on Social Science, Public Health and Education (SSPHE 2019) PB - Atlantis Press SP - 48 EP - 51 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.200205.010 DO - 10.2991/assehr.k.200205.010 ID - Gao2020 ER -