This paper is in the following e-collection/theme issue:

mHealth for Wellness, Behavior Change and Prevention (2871)

Published on in Vol 6, No 10 (2018): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11557, first published .
A Mobile Sleep-Management Learning System for Improving Students’ Sleeping Habits by Integrating a Self-Regulated Learning Strategy: Randomized Controlled Trial

A Mobile Sleep-Management Learning System for Improving Students’ Sleeping Habits by Integrating a Self-Regulated Learning Strategy: Randomized Controlled Trial

A Mobile Sleep-Management Learning System for Improving Students’ Sleeping Habits by Integrating a Self-Regulated Learning Strategy: Randomized Controlled Trial

Authors of this article:

Hui-Chun Chu1 Author Orcid Image ;   Yi-Meng Liu1 Author Orcid Image ;   Fan-Ray Kuo1 Author Orcid Image
Article Authors Cited by (12) Tweetations (4) Metrics

Journals

  1. de Zambotti M, Cellini N, Menghini L, Sarlo M, Baker F. Sensors Capabilities, Performance, and Use of Consumer Sleep Technology. Sleep Medicine Clinics 2020;15(1):1 View
  2. Nelson E, Verhagen T, Vollenbroek-Hutten M, Noordzij M. Is Wearable Technology Becoming Part of Us? Developing and Validating a Measurement Scale for Wearable Technology Embodiment. JMIR mHealth and uHealth 2019;7(8):e12771 View
  3. Glazer Baron K, Culnan E, Duffecy J, Berendson M, Cheung Mason I, Lattie E, Manalo N. How are Consumer Sleep Technology Data Being Used to Deliver Behavioral Sleep Medicine Interventions? A Systematic Review. Behavioral Sleep Medicine 2022;20(2):173 View
  4. Liang Z. Context-Aware Sleep Health Recommender Systems (CASHRS): A Narrative Review. Electronics 2022;11(20):3384 View
  5. Edney S, Chua X, Müller A, Kui K, Müller‐Riemenschneider F. mHealth interventions targeting movement behaviors in Asia: A scoping review. Obesity Reviews 2022;23(4) View
  6. Arroyo A, Zawadzki M. The Implementation of Behavior Change Techniques in mHealth Apps for Sleep: Systematic Review. JMIR mHealth and uHealth 2022;10(4):e33527 View
  7. Nyirenda I, Simuja C. The use of M-learning to foster the development of self-regulated learning in university students: A systematic review. The Independent Journal of Teaching and Learning 2023;18(2):78 View
  8. Bragazzi N, Garbarino S. Assessing the Accuracy of Generative Conversational Artificial Intelligence in Debunking Sleep Health Myths: Mixed Methods Comparative Study With Expert Analysis. JMIR Formative Research 2024;8:e55762 View
  9. Liang Z, Melcer E, Khotchasing K, Hoang N. Co-design personal sleep health technology for and with university students. Frontiers in Digital Health 2024;6 View
  10. Horvath L, Burns R, Brusseau T, Bai Y, Lucero J, King Jensen J. Goal Setting Moderates Behavior Change Outcomes in College Students After an Online Health Coaching Intervention. American Journal of Health Education 2024;55(6):383 View
  11. Rosenberg L, Rigney G, Jemcov A, van Voorst D, Corkum P. Usability of an eHealth sleep education intervention for university students. DIGITAL HEALTH 2024;10 View

Books/Policy Documents

  1. Kang S, Kim Y. Frontiers in Psychiatry. View