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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

Ā 

Learning gain

Exercise points

Exercise efficiency

Exam points

Ā 

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)

Parsonā€™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

āˆ’ā€‰.010 (āˆ’ā€‰.008)

  1. Significance is marked with *** p<.001, ** p<.01, * p<.05, #p<.1