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Skip search results from other journals and go to results- 3 Journal of Medical Internet Research
- 1 JMIR Medical Education
- 1 JMIR mHealth and uHealth
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The difference between the correct rates of Chat GPT 4.0 and Chat GPT 3.5 in answering the Chinese version of NNLE theoretical MCQs (P
(A,B) VENN diagram shows the correct and incorrect intersection of NNLE theoretical MCQs in different large language models (LLMs). (C,D) VENN diagram shows the correct and incorrect intersection of NNLE practical MCQs in different LLMs. (E) The correct rate of NNLE theoretical MCQs in various LLMs. (F) The correct rate of NNLE practical MCQs in various LLMs.
JMIR Med Educ 2024;10:e52746
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To support intervention designers in making informed choices that enhance patients’ learning, this paper describes a randomized experiment concerning the effect of IA on the effectiveness, use, and user experience of a patient education website and the theoretical mechanisms that explain these effects. In addition, the study explores the benefit of tailoring IA to specific user profiles.
IA concerns “the structural design of a shared information environment” [9].
J Med Internet Res 2021;23(3):e15846
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A Medication Adherence App for Children With Sickle Cell Disease: Qualitative Study
However, more research is needed to evaluate the mobile app’s efficacy and effectiveness for self-managing SCD using careful methods and theoretical underpinnings [19].
A 2013 Cochrane review of asthma self-management apps [21] concluded that future app-based interventions should be underpinned with relevant theoretical frameworks to identify the impact of individual app features on patient outcomes [19].
JMIR Mhealth Uhealth 2019;7(6):e8130
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A theoretical framework for long-term behavior change based on recent cognitive neuroscience that proposes dual systems: A system of mechanisms that supports volitional goal-striving and a system that supports habit formation and execution.
ACT-R as a mechanistic and predictive dual-system theory of goal-striving and habit formation.
ACT-R predictions regarding the effects of different reminder schedules on the strength of memory for implementation intentions.
J Med Internet Res 2017;19(11):e397
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theoreticalTheoretical Frameworks and Concepts
J Med Internet Res 2017;19(10):e324
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