Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Learning Trajectories | 3 |
Models | 3 |
Teaching Methods | 3 |
Abstract Reasoning | 2 |
Learning Processes | 2 |
Alignment (Education) | 1 |
Arithmetic | 1 |
Artificial Intelligence | 1 |
Bayesian Statistics | 1 |
Chemistry | 1 |
Competence | 1 |
More ▼ |
Author
Adadan, Emine | 1 |
Akaygun, Sevil | 1 |
Ben-Eliyahu, Einat | 1 |
D. H. Clements | 1 |
J. Sarama | 1 |
Langbeheim, Elon | 1 |
P. Chernyavskiy | 1 |
Ramnarain, Umesh Dewnarain | 1 |
Rau, Martina A. | 1 |
Rho, Jihyun | 1 |
T. S. Kutaka | 1 |
More ▼ |
Publication Type
Reports - Research | 3 |
Journal Articles | 2 |
Speeches/Meeting Papers | 1 |
Education Level
Elementary Education | 2 |
Early Childhood Education | 1 |
Grade 7 | 1 |
Junior High Schools | 1 |
Kindergarten | 1 |
Middle Schools | 1 |
Primary Education | 1 |
Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
T. S. Kutaka; P. Chernyavskiy; J. Sarama; D. H. Clements – Grantee Submission, 2023
Investigators often rely on the proportion of correct responses in an assessment when describing the impact of early mathematics interventions on child outcomes. Here, we propose a shift in focus to the relative sophistication of problem-solving strategies and offer methodological guidance to researchers interested in working with strategies. We…
Descriptors: Learning Trajectories, Problem Solving, Mathematics Instruction, Early Intervention
Rho, Jihyun; Rau, Martina A.; Van Veen, Barry D. – International Educational Data Mining Society, 2022
Instruction in many STEM domains heavily relies on visual representations, such as graphs, figures, and diagrams. However, students who lack representational competencies do not benefit from these visual representations. Therefore, students must learn not only content knowledge but also representational competencies. Further, as learning…
Descriptors: Learning Processes, Models, Introductory Courses, Engineering Education
Langbeheim, Elon; Ben-Eliyahu, Einat; Adadan, Emine; Akaygun, Sevil; Ramnarain, Umesh Dewnarain – Chemistry Education Research and Practice, 2022
Learning progressions (LPs) are novel models for the development of assessments in science education, that often use a scale to categorize students' levels of reasoning. Pictorial representations are important in chemistry teaching and learning, and also in LPs, but the differences between pictorial and verbal items in chemistry LPs is unclear. In…
Descriptors: Science Instruction, Learning Trajectories, Chemistry, Thinking Skills