Year: 2011
Type: article
Abstract: The author created a component for a digital learning environment (Science ASSISTments) that uses an infrared eyetracker to monitor students' reading and viewing of text and simulations in the domain of Plate Tectonics. The system detects out-of-order reading/viewing patterns that could lead to poor comprehension. It responds in real time to such patterns with messages that guide students to return to effective reading/viewing patterns so as to promote strong construction of mental models used in learning. The system's performance was tested as a proof of concept with some subjects in an experimental setting.
Source: Digital WPI
Author: Zakkai S Kauffman-Rogoff
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W2923358526