Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 3 |
Descriptor
Comparative Analysis | 3 |
Learning Processes | 3 |
Object Manipulation | 3 |
Eye Movements | 2 |
Computation | 1 |
Computer Assisted Testing | 1 |
Context Effect | 1 |
Cues | 1 |
Delayed Speech | 1 |
Effect Size | 1 |
Familiarity | 1 |
More ▼ |
Author
Agrawal, Harshit | 1 |
Arunachalam, Sudha | 1 |
Chandrasekharan, Sanjay | 1 |
Enders, Craig K | 1 |
Horvath, Sabrina | 1 |
Nietfeld, John L. | 1 |
Rahaman, Jeenath | 1 |
Schraw, Gregory | 1 |
Srivastava, Nisheeth | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Horvath, Sabrina; Arunachalam, Sudha – Journal of Speech, Language, and Hearing Research, 2021
Purpose: This study examined whether 2-year-olds are better able to acquire novel verb meanings when they appear in varying linguistic contexts, including both content nouns and pronouns, as compared to when the contexts are consistent, including only content nouns. Additionally, differences between typically developing toddlers and late talkers…
Descriptors: Verbs, Learning Processes, Eye Movements, Nouns
Rahaman, Jeenath; Agrawal, Harshit; Srivastava, Nisheeth; Chandrasekharan, Sanjay – Cognitive Science, 2018
Manipulation of physical models such as tangrams and tiles is a popular approach to teaching early mathematics concepts. This pedagogical approach is extended by new computational media, where mathematical entities such as equations and vectors can be virtually manipulated. The cognitive and neural mechanisms supporting such manipulation-based…
Descriptors: Mathematics Instruction, Problem Solving, Manipulative Materials, Object Manipulation
Nietfeld, John L.; Enders, Craig K; Schraw, Gregory – Educational and Psychological Measurement, 2006
Researchers studying monitoring accuracy currently use two different indexes to estimate accuracy: relative accuracy and absolute accuracy. The authors compared the distributional properties of two measures of monitoring accuracy using Monte Carlo procedures that fit within these categories. They manipulated the accuracy of judgments (i.e., chance…
Descriptors: Monte Carlo Methods, Test Items, Computation, Metacognition