IS in Education, IS Curriculum & Teaching Cases (SIG ED)

Paper Type

Complete

Paper Number

1696

Description

This paper examines the effect of gamification in engaging students to learn introductory concepts of data science, in particular, we study competitiveness through leaderboards. A between-subject experiment was conducted with 37 students and included two conditions: 1) playing against fictious opponents with a competitive leaderboard and, 2) playing alone with a leaderboard ranking only the subject's score. Our results show no effect of the competitive nature of leaderboards on learning and engagement. However, we found that highly efficacious participants with prior predictive modelling knowledge demonstrated higher levels of emotional arousal despite having a lower probability of increasing their knowledge on the subject matter. This suggests that individual differences such as self-efficacy and prior knowledge need to be accounted for when developing data science training that is augmented with competition through leaderboards as these factors may impact the learner’s ability to engage with the content.

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Aug 9th, 12:00 AM

Can Competition Though Leaderboards Lead to Better Engagement and Learning of Data Science Concepts? An Experimental Study

This paper examines the effect of gamification in engaging students to learn introductory concepts of data science, in particular, we study competitiveness through leaderboards. A between-subject experiment was conducted with 37 students and included two conditions: 1) playing against fictious opponents with a competitive leaderboard and, 2) playing alone with a leaderboard ranking only the subject's score. Our results show no effect of the competitive nature of leaderboards on learning and engagement. However, we found that highly efficacious participants with prior predictive modelling knowledge demonstrated higher levels of emotional arousal despite having a lower probability of increasing their knowledge on the subject matter. This suggests that individual differences such as self-efficacy and prior knowledge need to be accounted for when developing data science training that is augmented with competition through leaderboards as these factors may impact the learner’s ability to engage with the content.

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