Assessing Notification Timing Strategies for Improved Micro-Learning Engagement
Micro-learning has been widely adopted in recent years as an approach to improve online learning, particularly on mobile applications. Micro-learning is a method of dividing learning content into smaller lessons that can be completed within a short period (e.g., from ten to 15 minutes). While micro-...
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Published in | IEEE access Vol. 13; pp. 64534 - 64545 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
IEEE
2025
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ISSN | 2169-3536 2169-3536 |
DOI | 10.1109/ACCESS.2025.3559521 |
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Abstract | Micro-learning has been widely adopted in recent years as an approach to improve online learning, particularly on mobile applications. Micro-learning is a method of dividing learning content into smaller lessons that can be completed within a short period (e.g., from ten to 15 minutes). While micro-learning is often seen as a way to boost user engagement, strategies to optimize engagement within these applications remain underexplored. This study aims to examine the impact of notification delay times to enhance user engagement in language learning activities within micro-learning platforms. Specifically, we developed a notification system designed to encourage users to transition from social media usage to educational activities: in this case, the Duolingo application. Over a three-week period, we conducted a within-subject experiment with 10 different users, with each week dedicated to one of three notification delay times - the period of time our proposed system waits before sending a notification once a social media usage activity is recognized: immediate (0 minutes), 15 minutes, and 30 minutes. Our findings reveal that notifications sent after a delay of 15 and 30 minutes - significantly increase both the response rate and the duration of learning sessions compared to immediate notifications. This suggests that a strategic delay in sending study reminders can substantially enhance engagement and prolong the duration of learning, offering valuable insights into designing educational technologies that foster sustained learning habits. |
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AbstractList | Micro-learning has been widely adopted in recent years as an approach to improve online learning, particularly on mobile applications. Micro-learning is a method of dividing learning content into smaller lessons that can be completed within a short period (e.g., from ten to 15 minutes). While micro-learning is often seen as a way to boost user engagement, strategies to optimize engagement within these applications remain underexplored. This study aims to examine the impact of notification delay times to enhance user engagement in language learning activities within micro-learning platforms. Specifically, we developed a notification system designed to encourage users to transition from social media usage to educational activities: in this case, the Duolingo application. Over a three-week period, we conducted a within-subject experiment with 10 different users, with each week dedicated to one of three notification delay times - the period of time our proposed system waits before sending a notification once a social media usage activity is recognized: immediate (0 minutes), 15 minutes, and 30 minutes. Our findings reveal that notifications sent after a delay of 15 and 30 minutes - significantly increase both the response rate and the duration of learning sessions compared to immediate notifications. This suggests that a strategic delay in sending study reminders can substantially enhance engagement and prolong the duration of learning, offering valuable insights into designing educational technologies that foster sustained learning habits. |
Author | Jou She, Wan Shibuya, Yu Kajimura, Shogo Nguyen Tran, H. T. |
Author_xml | – sequence: 1 givenname: H. T. surname: Nguyen Tran fullname: Nguyen Tran, H. T. organization: Graduate School of Science and Technology, Kyoto Institute of Technology, Kyoto, Japan – sequence: 2 givenname: Wan surname: Jou She fullname: Jou She, Wan organization: Faculty of Information and Human Sciences, Kyoto Institute of Technology, Kyoto, Japan – sequence: 3 givenname: Shogo surname: Kajimura fullname: Kajimura, Shogo organization: Faculty of Information and Human Sciences, Kyoto Institute of Technology, Kyoto, Japan – sequence: 4 givenname: Yu orcidid: 0000-0001-5542-8272 surname: Shibuya fullname: Shibuya, Yu email: shibuya@kit.ac.jp organization: Graduate School of Science and Technology, Kyoto Institute of Technology, Kyoto, Japan |
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Title | Assessing Notification Timing Strategies for Improved Micro-Learning Engagement |
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