Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Cognitive Processes | 3 |
| Interference (Learning) | 3 |
| Learning Theories | 3 |
| Difficulty Level | 2 |
| Affective Behavior | 1 |
| Correlation | 1 |
| Disadvantaged | 1 |
| Educational Technology | 1 |
| Effect Size | 1 |
| Electronic Learning | 1 |
| Elementary School Students | 1 |
| More ▼ | |
Author
| Brown, Gordon D. A. | 1 |
| Deegan, Robin | 1 |
| Ecker, Ullrich K. H. | 1 |
| Lewandowsky, Stephan | 1 |
| Lin, Xin | 1 |
| Namkung, Jessica M. | 1 |
| Peng, Peng | 1 |
Publication Type
| Reports - Research | 3 |
| Journal Articles | 2 |
| Information Analyses | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Elementary Education | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkEcker, Ullrich K. H.; Brown, Gordon D. A.; Lewandowsky, Stephan – Cognitive Science, 2015
Is consolidation needed to account for retroactive interference in free recall? Interfering mental activity during the retention interval of a memory task impairs performance, in particular if the interference occurs in temporal proximity to the encoding of the to-be-remembered (TBR) information. There are at least two rival theoretical accounts…
Descriptors: Interference (Learning), Cognitive Processes, Recall (Psychology), Task Analysis
Namkung, Jessica M.; Peng, Peng; Lin, Xin – Review of Educational Research, 2019
The purpose of this meta-analysis was to examine the relation between mathematics anxiety (MA) and mathematics performance among school-aged students, and to identify potential moderators and underlying mechanisms of such relation, including grade level, temporal relations, difficulty of mathematical tasks, dimensions of MA measures, effects on…
Descriptors: Meta Analysis, Mathematics Anxiety, Correlation, Mathematics Achievement
Download full textDeegan, Robin – International Association for Development of the Information Society, 2013
Mobile learning is a cognitively demanding application and more frequently the ubiquitous nature of mobile computing means that mobile devices are used in cognitively demanding environments. This paper examines the nature of this use of mobile devices from a Learning, Usability and Cognitive Load Theory perspective. It suggests scenarios where…
Descriptors: Technology Uses in Education, Educational Technology, Electronic Learning, Telecommunications
