NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)4
Since 2006 (last 20 years)6
Publication Type
Journal Articles7
Reports - Research7
Audience
Researchers1
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 7 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Pasnak, Robert; Thompson, Brittany N.; Gagliano, Katrina M.; Righi, Matthew T.; Gadzichowski, K. Marinka – Journal of Educational Research, 2019
Knowing what kinds of patterns are easy for children to recognize early in their kindergarten year, and what kinds are difficult, can be a useful guide for patterning instruction. Hence, the ability of children to recognize complex patterns early in their kindergarten year was assessed in two experiments. One experiment showed that the children…
Descriptors: Kindergarten, Young Children, Pattern Recognition, Accuracy
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Apsari, Ratih Ayu; Putri, Ratu Ilma Indra; Sariyasa; Abels, Mieke; Prayitno, Sudi – Journal on Mathematics Education, 2020
The present study is a part of design research in local instructional theory in a pre-algebraic lesson using the Realistic Mathematics Education (RME) approach. The article will focus on recommendations for the type of pre-algebra class that supports elementary school students' algebraic thinking. As design research study, it followed the three…
Descriptors: Elementary School Students, Elementary School Mathematics, Grade 5, Geometry
Peer reviewed Peer reviewed
Direct linkDirect link
Rudziewicz, Michael; Bossé, Michael J.; Marland, Eric S.; Rhoads, Gregory S. – International Journal for Mathematics Teaching and Learning, 2017
Humans possess a remarkable ability to recognise both simple patterns such as shapes and handwriting and very complex patterns such as faces and landscapes. To investigate one small aspect of human pattern recognition, in this study participants position lines of "best fit" to two-dimensional scatter plots of data. The study investigates…
Descriptors: Visualization, Pattern Recognition, Graphs, Data
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Graf, Edith Aurora; Peters, Stephanie; Fife, James H.; van Rijn, Peter W.; Arieli-Attali, Meirav; Marquez, Elizabeth – ETS Research Report Series, 2019
Learning progressions (LPs) describe the development of domain-specific knowledge, skills, and understanding. Each level of an LP characterizes a phase of student thinking en route to a target performance. The rationale behind LP development is to provide road maps that can be used to guide student thinking from one level to the next. The validity…
Descriptors: Mathematical Concepts, Learning Processes, Sequential Approach, Student Development
Peer reviewed Peer reviewed
Direct linkDirect link
Medina, Richard; Suthers, Daniel – Journal of the Learning Sciences, 2013
We analyze the interaction of 3 students working on mathematics problems over several days in a virtual math team. Our analysis traces out how successful collaboration in a later session is contingent upon the work of prior sessions and shows how the development of representational practices is an important aspect of these participants' problem…
Descriptors: Secondary School Mathematics, Geometry, Secondary School Students, Interaction
Peer reviewed Peer reviewed
Direct linkDirect link
Lin, John Jr-Hung; Lin, Sunny S. J. – International Journal of Science and Mathematics Education, 2014
The present study investigated (a) whether the perceived cognitive load was different when geometry problems with various levels of configuration comprehension were solved and (b) whether eye movements in comprehending geometry problems showed sources of cognitive loads. In the first investigation, three characteristics of geometry configurations…
Descriptors: Cognitive Processes, Difficulty Level, Geometry, Comprehension
Peer reviewed Peer reviewed
Sabbah, Daniel – Cognitive Science, 1985
Summarizes an initial foray in tackling artificial intelligence problems using a connectionist approach. The task chosen is visual recognition of Origami objects, and the questions answered are how to construct a connectionist network to represent and recognize projected Origami line drawings and the advantages such an approach would have. (30…
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Graphics, Geometry