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Aronshtam, Lior; Shrot, Tammar; Shmallo, Ronit – Education and Information Technologies, 2021
Improving code while preserving its functionality is a common task in the hi-tech industry. Yet students have difficulties improving an algorithm's run-time complexity by an order of magnitude. The paper focuses on assessing students' abilities in this area. We designed a Structure of the Observed Learning Outcome (SOLO) taxonomy, using software…
Descriptors: Difficulty Level, Computer Software, Taxonomy, Coding