Work

Comparative Study of Gamification Interventions for Enhancing Statistics Learning in AI-Focused Education

Year: 2025

Type: article

Abstract: Statistical education is a crucial yet often overlooked aspect of AI in higher education. However, traditional approaches usually focus heavily on procedural knowledge, leaving students anxious about statistics and less confident in applying concepts to real-world problems. This study examines a method that enhances statistical learning outcomes by integrating data visualization and gamification strategies. Students were randomly assigned to either a control group (CG) or an intervention group (IG), and each group was further divided into teams. The curriculum was enhanced in a college statistics course offered for both engineering and math majors. IG students applied data visualization and gamification in a hands-on group project aimed at solving a real-world problem and competed as they presented their results. The effectiveness of this approach was assessed through statistical analyses comparing the performance of IG and CG in surveys, final grades, and project grades. The results from evaluation methods indicated that IG students outperformed CG students, demonstrating a positive impact of gamification on statistics education.

Source: AI in Education

DOI: 10.3390/aieduc1010005

Authors: Hongwei Wang, Deepak Ganta, Maria Vasquez, Khaled Enab

Institution: Texas A&M International University

Language: English

Topic: Educational Games and Gamification

Subfield: Developmental and Educational Psychology

Field: Psychology

Domain: Social Sciences

SDG: Quality education

Open Access status: diamond

Funder: National Science Foundation