The AL Goldberg machine
| Autor: | Harrison Pearl, Dragan Trninic, Hillary Swanson, Samuel Arrants |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Structure (mathematical logic)
Computer science Computational thinking media_common.quotation_subject Learning environment 05 social sciences 020207 software engineering 02 engineering and technology Virtual reality computer.software_genre Debugging Embodied cognition Human–computer interaction Virtual machine 0202 electrical engineering electronic engineering information engineering Constructionism 0501 psychology and cognitive sciences computer 050107 human factors media_common |
| Zdroj: | IDC (Extended Abstracts) |
| DOI: | 10.1145/3397617.3397845 |
| Popis: | Familiarity with the construction, test, and refinement of computational algorithms is of critical importance to many disciplines in the 21st century. We introduce a novel learning environment that lowers the threshold to participation in algorithmic practices including using functions to transform input, using conditionals to selectively transform or manipulate input, creating simple and complex algorithms, and testing and debugging algorithms to iteratively improve them. Our learning environment leverages VR technology and principles of embodied cognition that prioritize "hands in" learning. Instead of creating algorithms through traditional computational programming (which often renders the structure and components of an algorithm opaque), students using our technology build "concrete algorithms" in the form of a virtual Rube Goldberg-type machine that makes the algorithm's structure, components, and functioning visible. |
| Databáze: | OpenAIRE |
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