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Confrey, Jere; Shah, Meetal; Maloney, Alan – Mathematics Teacher: Learning and Teaching PK-12, 2022
Learning trajectories (LTs) can inform teaching by contributing a variety of pedagogical and content-related insights and strategies. They support sequencing topic introduction and development. Because ideas evolve gradually and often rely on a careful introduction of new representations, operations, cases of numbers, structures, and definitions,…
Descriptors: Mathematics Education, Learning Processes, Elementary Secondary Education, Preschool Education
Donovan, Andrea Marquardt; Fyfe, Emily R. – Educational Psychology, 2022
Children often learn abstract mathematics concepts with concrete manipulatives. The current study compared different ways of using specific manipulatives -- base-ten blocks -- to support children's place value knowledge. Children (N = 112, M age = 6.88 years) engaged in place value learning activities in one of four randomly assigned conditions in…
Descriptors: Children, Mathematical Concepts, Manipulative Materials, Mathematics Activities
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
Ye, Cheng; Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam – International Educational Data Mining Society, 2015
This paper discusses Multi-Feature Hierarchical Sequential Pattern Mining, MFH-SPAM, a novel algorithm that efficiently extracts patterns from students' learning activity sequences. This algorithm extends an existing sequential pattern mining algorithm by dynamically selecting the level of specificity for hierarchically-defined features…
Descriptors: Learning Activities, Learning Processes, Data Collection, Student Behavior
Rau, M. A.; Aleven, V.; Rummel, N. – Society for Research on Educational Effectiveness, 2011
Graphical representations (GRs) of the learning content are often used for instruction (Ainsworth, 2006). When used in learning technology, GRs can be especially useful since they allow for interactions across representations that are physically impossible, for instance by dragging and dropping symbolic statements into a chart that automatically…
Descriptors: Intelligent Tutoring Systems, Retention (Psychology), Mathematics, Mathematics Instruction
Thornell, John G. – Southern Journal of Educational Research, 1977
The study compared two methods of task presentation which differed primarily in terms of sequence characteristics. Sixty 4th graders were randomly assigned to one of two treatment groups and taught concepts of mathematical symmetry for three days. A criterion measure was administered on the fourth day to assess initial learning and again six weeks…
Descriptors: Academic Achievement, Criterion Referenced Tests, Elementary Education, Grade 4