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University of Illinois at Urbana-Champaign

Attention and Encoding in Physics Learning and Problem Solving

Abstract

dc:description

This dissertation presents several studies designed to probe the mental representations that physics experts and novices form when interacting with typical instructional materials, such as diagrams and problem statements. By using recognition tasks and a change detection task, the mental representations of experts and novices are studied in a more direct way than with tasks such as problem sorting or interviews. Results show that the experience and knowledge of physics experts influence the features of visual stimuli that they encode. However, a recognition task designed to probe physics experts' representations of physics problems revealed no evidence for the presence of physics principles. The final study in this dissertation used eye-tracking and a measure of cognitive load to determine that animating multimedia learning content can help to focus learners' attention towards relevant items on the screen and in some cases reduce cognitive load as well.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Educational Psychology
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Feil, Adam John
Contributors dc:contributor
  • Stine-Morrow, Elizabeth A.L.

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI3392010
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/80116

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Feil, Adam John. Attention and Encoding in Physics Learning and Problem Solving. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/80116