Enhancing business students' data analytics skills through DataCamp mobile learning: A two-year quasi-experimental study

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Authors: Mario Alberto de la Puente Pacheco, Jose Torres, Hernan Guzman
Cited by: 0
References: 12

Abstract

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.

Fields of Study & Subjects

Online Learning and Analytics Statistics Education and Methodologies Big Data and Business Intelligence

Publication details

Journal / source
Research and Practice in Technology Enhanced Learning
Volume
21
Pages
043–043
Publication date
3 March 2026
Language
EN