Training in Information Processing Algorithms
Bibliographic Data
| ID | 9615905 |
|---|---|
| Authors | Michael J Lawson (0000-0002-0175-3683, Flinders University), John Kirby (0000-0002-8874-1641, University of Newcastle Australia), J R KIRBY |
| Year | 1981 |
| Volume | 51 |
| Issue | 3 |
| Pages | 321-335 |
| Publication date | 1981-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | British Journal of Educational Psychology (JOURNAL) |
| Journal identifiers | ISSN: 0007-0998 • E-ISSN: 2044-8279 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/j.2044-8279.1981.tb02490.x |
| OpenAlex | W2142650579 |
| Language | EN |
| Citations received | 3 |
S ummary . Following Hunt's (1975) analysis of the Raven's Progressive Matrices (RPM) test, an attempt was made to identify and train two strategies for solving RPM problems. Four training groups were formed: one received Gestalt strategy training, one received Analytic strategy training, one received training in both strategies, and a control group received neutral instructions. Following training, subjects completed a set of ambiguous items and Set I of the Advanced Progressive Matrices. In the latter, they were required to justify their responses. Evidence is presented which suggests that the two strategies proposed in Hunt's analysis can be identified and that subjects can be trained to use and maintain these strategies. Strategy use is also related to post‐test performance. Analysis of subjects' justifications for responses indicates that Hunt's item analysis of certain RPM problems needs to be modified to take into account both the influence of item‐type and subjects' flexibility in switching between strategies even after training
Cognition · Cognitive flexibility · Cognitive psychology · Control (management) · Flexibility (engineering) · Gestalt psychology · Psychiatry · Raven's Progressive Matrices · Set (abstract data type) · Statistics · Test (biology) · Training (meteorology) · Applied Psychology · Artificial Intelligence · Computer Science · Mathematics · Psychology · Teaching and Learning Programming
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,07 |
| Citation span | 1984 - 2000 (17) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |