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Table 7 Regression estimates (standardized coefficients) for the impact of each type of smart content on students performance

From: An integrated practice system for learning programming in Python: design and evaluation

  Learning gain Exercise points Exercise efficiency Exam points
  R2 Coef (stand.) R2 Coef (stand.) R2 Coef (stand.) R2 Coef (stand.)
Semantic prob. .050*** .006 (.224)*** .052* 13.978 (.127)* .097 # .005 (.100) # .055 .117 (.076)
Parson’s prob. .047** .006 (.217)** .051* 13.854 (.126)* .097 # .005 (.102) # .054 .117 (.076)
Annotated examples .034** .003 (.184)** .043 5.425 (.086) .090 .002 (.055) .050 .035 (.040)
Animated examples .022* .003 (.149)* .038 4.174 (.048) .088 .001 (.025) .049 − .010 (− .008)
  1. Significance is marked with *** p<.001, ** p<.01, * p<.05, #p<.1