Author: Satabdi Basu
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Global Benchmarking of Computational Thinking Education in Primary Schools
This report offers a framework for reviewing CoolThink@JC’s accomplishments to date and computational thinking education (CTE) initiatives in other jurisdictions.
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Scaling Up Coolthink@JC Implementation Study Baseline Report
This report is the first in a series from an implementation study being conducted by SRI International (SRI).
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Building Teacher Capacity in K–12 Computer Science by Promoting Formative Assessment Literacy
The rapid expansion of computer science (CS) instruction in primary and secondary education has highlighted the shortage of teachers qualified to teach the subject.
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Practice Guide: Applying a Principled Approach to Develop and Use K–12 Computer Science Formative Assessments
In this practice guide, we show how to apply the five-step process outlined in the corresponding white paper to systematically develop or select formative assessment tasks and use them to inform instruction.
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Using Computational Modeling to Integrate Science and Engineering Curricular Activities
We articulate a framework for using computational modeling to coherently integrate the design of science and engineering curricular experiences.
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A principled approach to designing a computational thinking practices assessment for early grades
In this paper, we discuss the development of and results from a validated CT Practices assessment for 4th-6th grade students.
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C2STEM: a System for Synergistic Learning of Physics and Computational Thinking
Synergistic learning combining computational thinking (CT) and STEM has proven to be an effective method for advancing learning and understanding in a number of STEM domains…
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Leveraging Evidence-Centered design to develop assessments of Computational Thinking practices
This article describes how ECD was used to develop CT assessments for primary students in Hong Kong and secondary students in the United States.
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A Principled Approach to Designing Assessments That Integrate Science and Computational Thinking
We describe a principled design process to develop assessment tasks and rubrics that integrate concepts and practices across science, CT, and computational modeling.
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A Framework for Using Hypothesis-Driven Approaches to Support Data-Driven Learning Analytics in Measuring Computational Thinking in Block-Based Programming Environments
The goal of this research is to explore hypothesis-driven approaches that can be combined with data-driven ones to better interpret student actions and processes in log data captured from block-based programming environments with the goal of measuring and assessing students’ CT skills.
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Measuring Student Learning in Introductory Block-Based Programming: Examining Misconceptions of Loops, Variables, and Boolean Logic
This research aims to develop assessment items for measuring student understanding in introductory CS classrooms in middle school using a principled approach for assessment design.
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Learner Modeling for Adaptive Scaffolding in a Computational Thinking-Based Science Learning Environment
We develop a learner modeling and adaptive scaffolding framework for CTSiM –an open ended learning environment that supports synergistic learning of science and Computational Thinking for middle school students.