Creation and Validation of Low-Stakes Rubrics for K-12 Computer Science

被引:5
作者
Catete, Veronica [1 ]
Lytle, Nicholas [1 ]
Barnes, Tiffany [1 ]
机构
[1] North Carolina State Univ, Raleigh, NC 27695 USA
来源
ITICSE'18: PROCEEDINGS OF THE 23RD ANNUAL ACM CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION | 2018年
基金
美国国家科学基金会;
关键词
Nominal Group Technique; CS Principles; Rubrics; BJC;
D O I
10.1145/3197091.3197134
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
With increased numbers of K-12 computing courses, we also see an increase in teachers new to the subject, making it difficult for them to properly assess student programming assignments. Many of these teachers require project-specific rubrics to help assess student learning. Researchers have attempted to create systematic, validated, and reliable rubrics for these courses with only minor success. In this research, we make an argument for the validity of our low-stakes computing rubrics. In doing so, we establish a validated method for creating a full-suite of project-based rubrics for K-12 computing courses, helping teachers, researchers, and practitioners make much-needed course materials. Evaluating these rubrics, we see grader consistency as well as heatmaps of where teachers are looking for computational thinking concepts in code.
引用
收藏
页码:63 / 68
页数:6
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