Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 2 |
Descriptor
Learning Processes | 3 |
Problem Solving | 3 |
Arithmetic | 2 |
College Students | 2 |
Reaction Time | 2 |
Alphabets | 1 |
Associative Learning | 1 |
Cognitive Processes | 1 |
Computation | 1 |
Concept Formation | 1 |
Data Interpretation | 1 |
More ▼ |
Source
Journal of Experimental… | 3 |
Author
Anderson, John R. | 1 |
Campbell, Jamie I. D. | 1 |
Chen, Yalin | 1 |
Levine, Marvin | 1 |
Orr, Alicia | 1 |
Sweller, John | 1 |
Tenison, Caitlin | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Education Level
Higher Education | 2 |
Postsecondary Education | 2 |
Audience
Location
Australia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Chen, Yalin; Orr, Alicia; Campbell, Jamie I. D. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
This research pursued a fine-grained analysis of the acquisition of a procedural skill. In two experiments (n = 29 and n = 27), adults practiced 12 alphabet arithmetic problems (e.g., C + 3 = C D E F) in two sessions with 20 practice blocks in each. If learning reflected speed up of a counting algorithm, response time (RT) speed up should be…
Descriptors: Learning Processes, Alphabets, Arithmetic, Computation
Tenison, Caitlin; Anderson, John R. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
A focus of early mathematics education is to build fluency through practice. Several models of skill acquisition have sought to explain the increase in fluency because of practice by modeling both the learning mechanisms driving this speedup and the changes in cognitive processes involved in executing the skill (such as transitioning from…
Descriptors: Skill Development, Mathematics Skills, Learning Processes, Markov Processes

Sweller, John; Levine, Marvin – Journal of Experimental Psychology: Learning, Memory, and Cognition, 1982
The operation of means-ends analysis (MEA) involves attempts at reducing differences between problem states and the goal state. It was paradoxically found that the more problem solvers knew of the goal state, the less they learned of the problem structure during the solution process. (PN)
Descriptors: Cognitive Processes, Concept Formation, Foreign Countries, Generalization