Providing Guidance and Opportunities for Self-Assessment and Transfer in a Simulation Environment for Discovery Learning
Year: 2007
Type: article
Abstract: This paper describes the use of a computer-based simulation learning environment to teach fifth grade students about dynamic processes in a river ecosystem using guided discovery learning techniques.The simulation is framed in an established learning-by-teaching environment called Betty's Brain, where students create causal concept maps to understand interdependence and balance.Students were asked to manipulate and observe the simulation and teach the computer agent, Betty, using the knowledge acquired from the simulation.We present the design of the simulation environment and the implementation of its components: the simulation engine, the display and control interface, tools for guided discovery learning, and the self-assessment subsystem.A study was run on two classrooms to examine the effectiveness of the system.Student understanding was measured by pre to post test differences.Students using the system showed significant learning gains in important concepts.We also studied student learning behaviors in the simulation environment, and found that those who better utilized the self-assessment system performed better on the post test.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
Funder: National Science Foundation
OpenAlex ID: W2587521357
