Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 6 |
Descriptor
Source
| Educational Technology &… | 1 |
| Grantee Submission | 1 |
| Instructional Science: An… | 1 |
| International Educational… | 1 |
| Journal of Educational… | 1 |
| Pedagogies: An International… | 1 |
Author
Publication Type
| Reports - Research | 5 |
| Journal Articles | 4 |
| Tests/Questionnaires | 2 |
| Collected Works - Proceedings | 1 |
Education Level
| Elementary Education | 6 |
| Intermediate Grades | 6 |
| Grade 4 | 4 |
| Middle Schools | 4 |
| Grade 5 | 3 |
| Early Childhood Education | 2 |
| Grade 3 | 2 |
| Primary Education | 2 |
| Grade 6 | 1 |
| Higher Education | 1 |
| Junior High Schools | 1 |
| More ▼ | |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkRau, Martina A.; Aleven, Vincent; Rummel, Nikol – Instructional Science: An International Journal of the Learning Sciences, 2017
Prior research shows that representational competencies that enable students to use graphical representations to reason and solve tasks is key to learning in many science, technology, engineering, and mathematics domains. We focus on two types of representational competencies: (1) "sense making" of connections by verbally explaining how…
Descriptors: Elementary School Students, Grade 3, Grade 4, Grade 5
Download full textRau, Martina A.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2017
Prior research shows that representational competencies that enable students to use graphical representations to reason and solve tasks is key to learning in many science, technology, engineering, and mathematics (STEM) domains. We focus on two types of representational competencies: (1) "sense making" of connections by verbally…
Descriptors: Elementary School Students, Grade 3, Grade 4, Grade 5
Yung, Hsin I.; Paas, Fred – Educational Technology & Society, 2015
Visual representation has been recognized as a powerful learning tool in many learning domains. Based on the assumption that visual representations can support deeper understanding, we examined the effects of visual representations on learning performance and cognitive load in the domain of mathematics. An experimental condition with visual…
Descriptors: Foreign Countries, Elementary School Students, Grade 4, Elementary School Mathematics
Begolli, Kreshnik Nasi; Richland, Lindsey Engle – Journal of Educational Psychology, 2016
Comparing multiple solutions to a single problem is an important mode for developing flexible mathematical thinking, yet instructionally leading this activity is challenging (Stein, Engle, Smith, & Hughes, 2008). We test 1 decision teachers must make after having students solve a problem: whether to only verbally discuss students' solutions or…
Descriptors: Mathematics Instruction, Teaching Methods, Decision Making, Problem Solving
Iddings, Ana Christina DaSilva; Rose, Brian Christopher – Pedagogies: An International Journal, 2012
This study draws on the application of sociocultural theory to second-language learning and teaching to examine the impact of a design-based research approach on teacher development and literacy instruction to English-language learners (ELLs). Design-based research methodology was employed to derive theoretical suppositions relating to the process…
Descriptors: English Language Learners, Educational Practices, Professional Development, Second Language Instruction
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
