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Learning Trajectory Based Instruction

Toward a Theory of Teaching

Bibliographic Data

ID9735111
AuthorsPaola Sztajn (0000-0002-5270-6924, North Carolina State University, Raleigh, NC, corresponding author), Jere Confrey (0000-0001-9776-5939, The University of North Carolina at Greensboro, NC), P Holt Wilson (The University of North Carolina at Greensboro, NC), Cynthia Edgington (The University of North Carolina at Greensboro, NC)
Year2012
Volume41
Issue5
Pages147-156
Publication date2012-06-01
Open AccessYes
TypeARTICLE
VenueEducational Researcher (JOURNAL)
Journal identifiersISSN: 0013-189X • E-ISSN: 1935-102X
PublisherAmerican Educational Research Association (AERA) (PUBLISHER)
DOI10.3102/0013189x12442801
OpenAlexW2026796636
LanguageEN
Citations received21
References cited19

In this article, we propose a theoretical connection between research on learning and research on teaching through recent research on students’ learning trajectories (LTs). We define learning trajectory based instruction (LTBI) as teaching that uses students’ LTs as the basis for instructional decisions. We use mathematics as the context for our argument, first examining current research on LTs and then examining emerging research on how mathematics teachers use LTs to support their teaching. We consider how LTs provide specificity to four highly used frameworks for examining mathematics teaching, namely mathematical knowledge for teaching, task analysis, discourse facilitation practices, and formative assessment. We contend that by unifying various teaching frameworks around the science of LTs, LTBI begins to define a theory of teaching organized around and grounded in research on student learning. Thus, moving from the accumulation of various frameworks into a reorganization of the frameworks, LTBI provides an integrated explanatory framework for teaching

Argument (complex analysis · Context (archaeology · Formative assessment · Mathematics education · Task (project management · Teaching method · Cognitive and developmental aspects of mathematical skills · Computer Science · Innovative Teaching and Learning Methods · Mathematics Education and Teaching Techniques · Psychology

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Citations per year1.62
Citation span2013 - 2026 (14)
Highly citedNo

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