Pattern of Student Game Setting Selections in an Intelligent Mobile MCSCL using the Apriori Algorithm

This study determined the pattern of game setting selections of 26 Grade 5 students who utilized intelligent and nonintelligent, web-based, mobile computer-supported collaborative (mCSCL) software named Ibigkas! Math. The students used the software for three days, with each session lasting 45 minutes. It was disclosed that Very Slow, Very Easy, and Addition arithmetic problems were the most selected game settings. The Apriori algorithm showed that four rules were found (i.e., significant game setting selections). The combination of choosing easy addition arithmetic problems was the most preferred game selection. Confidence values ranged from 0.520 to 0.667, indicating that all rules had a moderate likelihood of combinations occurring together. In terms of Lift, the relationships between Addition <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\rightarrow$</tex> Easy (Lift <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$=1.72$</tex>), Intelligent <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\rightarrow$</tex> Addition (Lift <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$=1.12$</tex>), and Intelligent <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\rightarrow$</tex> Addition (Lift = 1.16) showed significant connections. It is therefore concluded that students in this study exhibited a pattern of game setting selections within the software. These game setting selections suggest under and overpractice of skills in the context of this study. Implications and recommendations are also discussed.