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Table 7 Spearman’s correlations between time per attempt and normalized gains (ns denotes not significant)

From: Investigating the effects of learning activities in a mobile Python tutor for targeting multiple coding skills

 

Novices (16)

Advanced (19)

Correlation on time per attempt on identifying error and:

 Time per attempt on output prediction

rs = 0.81, p = .000

rs = 0.66, p = .002

 Normalized gain on all questions

ns

rs = 0.50, p = .031

 Normalized gain on output prediction

ns

rs = 0.55, p = .014

 Normalized gain on code writing

ns

rs = 0.61, p = .005

 Post-test output prediction

ns

rs = 0.48, p = .037

Correlation on time per attempt on output prediction and:

 Time per attempt on code fixing

rs = 0.67, p = .004

ns

 Normalized gain on output prediction

rs = 0.52, p = .038

ns

Correlation on time per attempt on code fixing and:

 Time per attempt on identifying error

rs = 0.70, p = .002

ns