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Flash Decoding with Analogies, Game Mechanics, and AI Assistance: Alternatives to the Traditional Decoding Interview: Difference between revisions

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https://doi.org/10.59236/td2025vol18iss31923
https://doi.org/10.59236/td2025vol18iss31923
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[[Category:Middendorf, J]]
[[Category:Game based learning]]

Latest revision as of 11:15, 11 October 2026

Abstract[edit | edit source]

For over 30 years, the Decoding theory has helped educators break through student learning bottlenecks. Now, new methods and tools for Decoding and Disrupting have arrived. This article shares theory and practice on “Flash Decoding” with analogies and game mechanics as two of the most efficient and engaging ways to uncover the mental move as alternatives to the Decoding interview. With access to generative artificial intelligence, Flash Decoding using game mechanics can be achieved by even the busiest of professors. The first half of the article explains analogy-based Decoding, and the second half explains game mechanics-based Decoding.

Bibliographic data[edit | edit source]

Middendorf, J., & Mondelli, V. (2025). Flash Decoding with Analogies, Game Mechanics, and AI Assistance: Alternatives to the Traditional Decoding Interview. Transformative Dialogues: Teaching and Learning Journal, 18(3), 61-83.

External source[edit | edit source]

https://doi.org/10.59236/td2025vol18iss31923