Research and Practice in Technology Enhanced Learning | 2026
Authors: de la Puente M.; Torres J.; Guzman H.
DOI: 10.58459/rptel.2026.21043
Journal: Research and Practice in Technology Enhanced Learning
Year: 2026
Publisher: Asia-Pacific Society for Computers in Education
Document Type: Article
Open Access: All Open Access; Gold Open Access
Cited by: 0
This research evaluated DataCamp: Data Science & AI effectiveness in developing data analytics competencies among business administration undergraduates. Through a two-year quasi-experimental design, the study compared learning outcomes between 500 students using the mobile platform versus traditional instruction across three universities. Statistical analyses showed enhanced mobile learning performance (β = 0.86, p = 0.041). Growth Mixture Models identified three learning trajectories, with 45% displaying consistent improvement. The study measured competencies in data visualization, statistical analysis, and business applications. Regular platform interaction correlated with improved outcomes. Students valued accessibility but reported challenges with advanced concepts, highlighting implementation enhancement opportunities. © The Author(s). 2026.
business statistics; data analytics education; educational technology; mobile game-based learning; quantitative skills development