Poster: Towards Understanding Novice Behaviors and Mental Effort in Code Puzzles
| Autor: | John S. Allen, Caitlin Kelleher |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
business.industry 05 social sciences Computer programming 020207 software engineering 02 engineering and technology Mental effort Learning experience Human–computer interaction 0202 electrical engineering electronic engineering information engineering Code (cryptography) Young learners 0501 psychology and cognitive sciences business 050107 human factors Cognitive load |
| Zdroj: | VL/HCC |
| Popis: | Code puzzles are a popular way to introduce young learners to computer programming. Managing cognitive load can lead to more effective learning, but it is unknown what levels of cognitive load should be maintained for successful learning in code puzzle systems. In this paper, we find that successful learners follow a trend of lower cognitive load, and we suggest guiding users towards this trend before introducing more difficult tasks. We then quantify puzzle-solving experiences into 7 principal components and explain their relationship with cognitive load and how they may be able to be used to improve the learning experience. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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