NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 8 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Luo, Feiya; Israel, Maya; Gane, Brian – ACM Transactions on Computing Education, 2022
There is little empirical research related to how elementary students develop computational thinking (CT) and how they apply CT in problem-solving. To address this gap in knowledge, this study made use of learning trajectories (LTs; hypothesized learning goals, progressions, and activities) in CT concept areas such as sequence, repetition,…
Descriptors: Elementary School Students, Computation, Thinking Skills, Learning Trajectories
Peer reviewed Peer reviewed
Direct linkDirect link
Traci Kutaka; Pavel Chernyavskiy; Carson Keeter; Julie Sarama; Douglas Clements – Society for Research on Educational Effectiveness, 2021
Background: Data on children's ability to answer assessment questions correctly paints an incomplete portrait of what they know and can do mathematically; yet, it remains a common basis for program evaluation. Indeed, pre-post-assessment correctness is necessary but insufficient evidence for making inferences about learning and program…
Descriptors: Kindergarten, Learning Trajectories, Learning Strategies, Thinking Skills
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Oh Hoon Kwon – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
A new classification for semantic structures of one-step word problems is proposed in this paper. The classification is based on illustrations of word problem situations in Common Core State Standards (CCSSM, 2010) and related historical studies (e.g. Weaver, 1973, 1979, 1982), as well as conceptual elaborations of embodied and grounded nature in…
Descriptors: Semantics, Word Problems (Mathematics), Mathematics Instruction, Classification
Peer reviewed Peer reviewed
Direct linkDirect link
Pavel Chernyavskiy; Traci S. Kutaka; Carson Keeter; Julie Sarama; Douglas Clements – Grantee Submission, 2025
When researchers code behavior that is undetectable or falls outside of the validated ordinal scale, the resultant outcomes often suffer from informative missingness. Incorrect analysis of such data can lead to biased arguments around efficacy and effectiveness in the context of experimental and intervention research. Here, we detail a new…
Descriptors: Bayesian Statistics, Mathematics Instruction, Learning Trajectories, Item Response Theory
Peer reviewed Peer reviewed
Direct linkDirect link
Martin, Kristi; Hunt, Jessica H. – Investigations in Mathematics Learning, 2022
One challenge facing the fields of mathematics education and special education is how to design instruction on fraction concepts that can meet the needs of diverse learners. An innovation that shows promise is to base instructional design upon well-established trajectories of students' fraction learning. However, little research has been done to…
Descriptors: Learning Trajectories, Fractions, Intervention, Mathematics Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ellis, Amy B. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
The development and use of learning trajectories is a body of research that has made enormous contributions to the field of mathematics education, offering insight into the teaching and learning of topics at all levels. Simultaneously, the work of building learning trajectories can benefit from explicitly adopting an anti-deficit stance,…
Descriptors: Learning Trajectories, Mathematics Education, Teaching Methods, Learning Processes
Feiya Luo – ProQuest LLC, 2020
There is little empirical research related to how elementary students develop computational thinking (CT) and how students apply CT in problem-solving. To address this gap in knowledge, this study made use of learning trajectories (LTs; hypothesized learning goals, progressions, and activities) in CT concept areas such as sequence, repetition,…
Descriptors: Elementary School Students, Computation, Thinking Skills, Skill Development