A randomized trial found that a 45-minute prompt-based programming lesson produced modest non-significant performance gains and significant self-efficacy gains compared to code tracing.
Linear models and linear mixed effects models in R with linguistic applications
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abstract
This text is a conceptual introduction to mixed effects modeling with linguistic applications, using the R programming environment. The reader is introduced to linear modeling and assumptions, as well as to mixed effects/multilevel modeling, including a discussion of random intercepts, random slopes and likelihood ratio tests. The example used throughout the text focuses on the phonetic analysis of voice pitch data.
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Teaching Prompt-Based Programming with LLMs: A 45-Minute Lesson with Guided Practice for End-User Programmers
A randomized trial found that a 45-minute prompt-based programming lesson produced modest non-significant performance gains and significant self-efficacy gains compared to code tracing.