NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 3 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Roberts, Courtney A.; Sage, Adam J.; Geryk, Lorie L.; Sleath, Betsy L.; Carpenter, Delesha M. – Health Education Journal, 2019
Objective: Mobile health apps hold potential to support and reinforce positive health behaviours, especially among young people with chronic diseases like asthma that require continual self-management. We aimed to gain feedback from adolescents with asthma on two existing asthma self-management apps to guide the development of an evidence- and…
Descriptors: Adolescents, Diseases, Feedback (Response), Self Management
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ausin, Markel Sanz; Azizsoltani, Hamoon; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2019
Deep Reinforcement Learning (DRL) has been shown to be a very powerful technique in recent years on a wide range of applications. Much of the prior DRL work took the "online" learning approach. However, given the challenges of building accurate simulations for modeling student learning, we investigated applying DRL to induce a…
Descriptors: Reinforcement, Intelligent Tutoring Systems, Teaching Methods, Instructional Effectiveness
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Shen, Shitian; Mostafavi, Behrooz; Barnes, Tiffany; Chi, Min – Journal of Educational Data Mining, 2018
An important goal in the design and development of Intelligent Tutoring Systems (ITSs) is to have a system that adaptively reacts to students' behavior in the short term and effectively improves their learning performance in the long term. Inducing effective pedagogical strategies that accomplish this goal is an essential challenge. To address…
Descriptors: Teaching Methods, Markov Processes, Decision Making, Rewards