Tier 1 Instructional Strategies To Improve K-4 Reading Comprehension
Category: Student Learning
Captures multiple dimensions of computational thinking (e.g., problem formulation, abstraction, algorithm use, and debugging) with leveled criteria, allowing for structured and comprehensive evaluation of students’ CT development over time.
Relies on subjective rubric scoring based on students’ classroom performance (e.g., programming and debugging), which may introduce rater bias and depend heavily on the consistency and expertise of evaluators.
The Computational Thinking Rubric (CTR) is an analytic assessment tool designed to evaluate students’ computational thinking skills across multiple domains within learning activities such as robotics education. The rubric includes six core components: formulating problems, abstraction, logical thinking, using algorithms, analyzing and implementing solutions, and generalizing and problem transfer.
Each domain is assessed using a three-level scale—emerging, moderate, and substantive—reflecting increasing levels of proficiency. The CTR is applied through observation of students’ performance during tasks, including programming, debugging, and problem-solving activities. Scores across domains can be combined to provide an overall measure of computational thinking development.
No fee