Classification of Shared Tasks Used in Teaching.
ITiCSE 2024 Proceedings of the 2024 on Innovation and Technology in Computer Science Education V 1(2024)
Abstract
We report on our experience with shared-task-based teaching based on 12 undergraduate and master's courses. From the lessons learned in these courses, we derive a novel classification of shared tasks into four classes based on properties of their solution spaces. The classification aligns the courses with their didactic goals and supports students and instructors in achieving them. We systematically analyze the teaching and learning conditions of each class, such as the required effort and prior knowledge of students and instructors. Our analyses show that shared tasks are a promising teaching method for computer science education that can be adapted to different environments. However, the diversity of shared tasks also requires customized recommendations for instructors.
MoreTranslated text
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined