Unfolding Mobile-Assisted Language Learning (MALL): A Case Study on Smartphone Usage for Second Language Learning

• In Event: Learning in Interactive and Gamified Environments

Abstract

Smartphones are essential for second language (L2) learning due to their accessibility and versatility. Mobile-assisted language learning (MALL) has gained attention, but specific ways individuals engage with L2 learning-related apps remain unclear. This case study utilizes data from the Human Screenome Project, analyzing 170 million encrypted screens from 200 participants' smartphones over a year. Based on the analysis of 7,727,880 screenshots over a total of 227 hour-long language learning-related screen activity during the year across 6 selected participants, results demonstrate significant variations in L2 learning app usage, including individual app preferences, app diversity, and screen time dedicated to L2 learning. This provides valuable insights for language researchers and educators in understanding sustained engagement in self-directed smartphone learning environments.

Authors

• Merve Cerit, Stanford University

• Xinjie Chen, Chinese University of Hong Kong

• Thomas Robinson, Stanford University

• Nilam Ram, Stanford University

• Byron Reeves, Stanford University

• Nick Haber, Stanford University