Effects of push notifications on learner engagement in a mobile learning app

Xuan Lam Pham, Thi Huyen Nguyen, Wu Yuin Hwang, Gwo Dong Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

35 Scopus citations

Abstract

In this study, we evaluated the effect of push notifications on mobile app engagement. Over the duration of a month, we collected data from 12,071 online users of an English learning app named 'English Practice' which can be freely installed from the Google Play store. Four criteria of app engagement used by us were as follows: session count, session length, time consumption and retention. In addition, we examined the frequency of sending notifications, how to display notifications and the use of notifications on wearable devices. The results show that push notifications with regards to incoming messages can increase learner engagement most. On the other hand, abusing push notifications (e.g. if they are too frequent) result in the opposite effect. Based on the results, we suggest that educators or developers focus on an increased integration of social communication tools inside apps.

Original languageEnglish
Title of host publicationProceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016
EditorsJ. Michael Spector, Chin-Chung Tsai, Ronghuai Huang, Paul Resta, Demetrios G Sampson, Kinshuk, Nian-Shing Chen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages90-94
Number of pages5
ISBN (Electronic)9781467390415
DOIs
StatePublished - 28 Nov 2016
Event16th IEEE International Conference on Advanced Learning Technologies, ICALT 2016 - Austin, United States
Duration: 25 Jul 201628 Jul 2016

Publication series

NameProceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016

Conference

Conference16th IEEE International Conference on Advanced Learning Technologies, ICALT 2016
Country/TerritoryUnited States
CityAustin
Period25/07/1628/07/16

Keywords

  • Application retention
  • Mobile learning
  • Selflearning system
  • User behaviour

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