Eye gaze patterns reveal how reasoning skills improve with experience. (December 2018)
- Record Type:
- Journal Article
- Title:
- Eye gaze patterns reveal how reasoning skills improve with experience. (December 2018)
- Main Title:
- Eye gaze patterns reveal how reasoning skills improve with experience
- Authors:
- Guerra-Carrillo, Belén
Bunge, Silvia - Abstract:
- Abstract Reasoning, our ability to solve novel problems, has been shown to improve as a result of learning experiences. However, the underlying mechanisms of change in this high-level cognitive ability are unclear. We hypothesized that possible mechanisms include improvements in the encoding, maintenance, and/or integration of relations among mental representations – i.e., relational thinking. Here, we developed several eye gaze metrics to pinpoint learning mechanisms that underpin improved reasoning performance. We collected behavioral and eyetracking data from young adults who participated in a Law School Admission Test preparation course involving word-based reasoning problems or reading comprehension. The Reasoning group improved more than the Comprehension group on a composite measure of four visuospatial reasoning assessments. Both groups improved similarly on an eyetracking paradigm involving transitive inference problems, exhibiting faster response times while maintaining high accuracy levels; nevertheless, the Reasoning group exhibited a larger change than the Comprehension group on an ocular metric of relational thinking. Across the full sample, individual differences in response time reductions were associated with increased efficiency of relational thinking. Accounting for changes in visual search and a more specific measure of relational integration improved the prediction accuracy of the model, but changes in these two processes alone did not adequately explainAbstract Reasoning, our ability to solve novel problems, has been shown to improve as a result of learning experiences. However, the underlying mechanisms of change in this high-level cognitive ability are unclear. We hypothesized that possible mechanisms include improvements in the encoding, maintenance, and/or integration of relations among mental representations – i.e., relational thinking. Here, we developed several eye gaze metrics to pinpoint learning mechanisms that underpin improved reasoning performance. We collected behavioral and eyetracking data from young adults who participated in a Law School Admission Test preparation course involving word-based reasoning problems or reading comprehension. The Reasoning group improved more than the Comprehension group on a composite measure of four visuospatial reasoning assessments. Both groups improved similarly on an eyetracking paradigm involving transitive inference problems, exhibiting faster response times while maintaining high accuracy levels; nevertheless, the Reasoning group exhibited a larger change than the Comprehension group on an ocular metric of relational thinking. Across the full sample, individual differences in response time reductions were associated with increased efficiency of relational thinking. Accounting for changes in visual search and a more specific measure of relational integration improved the prediction accuracy of the model, but changes in these two processes alone did not adequately explain behavioral improvements. These findings provide evidence of transfer of learning across different kinds of reasoning problems after completing a brief but intensive course. More broadly, the high temporal precision and rich derivable parameters of eyetracking make it a powerful approach for probing learning mechanisms. Psychology: Eye gaze reveals improvement in reasoning Preparing for the Law School Admissions Test (LSAT) hones reasoning skills. A team led by Silvia Bunge at the University of California at Berkeley in the USA used behavioral and eyetracking methods to test whether, and how, studying for the LSAT would lead to improved reasoning on unrelated tasks. Young adults studying the Logic Games section of the LSAT, as compared with the Reading Comprehension section, showed improved performance on a battery of tests of reasoning. Further, eyetracking revealed a key mechanism underlying learning: increased efficiency in the ability to examine key pieces of information in a problem to arrive at a logical conclusion. Measuring eye gaze patterns during task performance can be used to track learning over time and to gain insights regarding the underlying processes of change. … (more)
- Is Part Of:
- Npj science of learning. Volume 3(2018)
- Journal:
- Npj science of learning
- Issue:
- Volume 3(2018)
- Issue Display:
- Volume 3, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 3
- Issue:
- 2018
- Issue Sort Value:
- 2018-0003-2018-0000
- Page Start:
- 1
- Page End:
- 9
- Publication Date:
- 2018-12
- Subjects:
- Learning -- Periodicals
370.1523 - Journal URLs:
- http://www.nature.com/npjscilearn/ ↗
http://www.nature.com/ ↗ - DOI:
- 10.1038/s41539-018-0035-8 ↗
- Languages:
- English
- ISSNs:
- 2056-7936
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 10807.xml