Integration of Mechanistic Reasoning Into Patient Education: Informal Scientific Learning With Agent-Based Computerized Simulations

• In Event: AERA Poster Session 14
  In Poster Session: Division I. Education in the Professions: Poster Session

Abstract

Current research aims to illustrate the affordances of scientific mechanistic reasoning and to propose how it can be leveraged within informal learning settings such as hospitals. We evaluated learning with agent-based computerized simulations that support mechanistic understanding of complex biochemical processes related to diabetes type 1 (T1DM). A prospective case-control study was conducted on 12 to 18 year-old adolescents with T1DM at an outpatient diabetes clinic. The intervention group (n=40) learned with computerized simulations, while the control group (n=45) received the routine follow-up. Analysis revealed an improvement in mechanistical reasoning and in glycemic control (HbA1c) in the intervention group vs. the controls (p<0.05). Integration of scientific mechanistic learning as part of informal education in hospital settings can improve health outcomes.

Authors

• Ilana Dubovi, Tel Aviv University

• Sharona T. Levy, University of Haifa

• Efrat Dagan, University of Hiafa