Personalization
Abstract
This chapter explores how personalization can make mobile learning more relevant, efficient, and supportive. It opens with a clear definition: personalization is about matching content, delivery, and timing to individual learner needs. The chapter reviews different levels of personalization, from self-directed paths to data-driven recommendations. It offers strategies for using onboarding questions, learner profiles, and in-app behavior to tailor content. Examples include job-role-specific learning, targeted nudges, and adaptive prompts. The chapter warns against making things too complex or giving learners too many choices. Readers are encouraged to focus on what adds value and keeps learners moving forward. Personalization is presented as a practical design tool for improving outcomes and building stronger learner engagement.
Fields of Study & Subjects
Mobile Learning in Education
Intelligent Tutoring Systems and Adaptive Learning
Learning Styles and Cognitive Differences
Publication details
- Journal / source
- Routledge eBooks
- Pages
- 275–280
- Publication date
- 5 March 2026
- Language
- EN
- Document type
- Book chapter