Cross comparison of multiple computational thinking activities: A grey-based approach

The current paper proposes a grey-based approach to conduct cross comparison analysis of multiple Computational Thinking (CT) activities, which could be used to better inform decision makers and policy makers in education about the exact CT activities which they might like to consider selecting for the learners; regardless of whether these CT activities are screen-based block-based programming (such as Blockly or Scratch), or text-based programming (such as using the Python, or Java, or C# programming language, et cetera), or unplugged CT activities, or physical computing activities (such as programmable robots, or circuit boards with microcontrollers such as Arduino and the BBC Microbit). Further, this grey-based cross comparison approach can be used regardless of the rubric or test being used to assess each individual CT activity (for example, CT-Profile, PECT, PACT, Dr Scratch, CTt psychometric test, ACTMA, CT-Stem, or Bloom’s Taxonomy, or SOLO Taxonomy). Potentially, this grey-based approach of cross comparing multiple CT activities could be useful for anyone who is interested in pulling together all of the analyses for different CT activities into one coherent meta-analysis of multiple CT activities. Copyright © 2018 The Hong Kong Jockey Club.