Load reduction instruction in mathematics and English classrooms: A multilevel study of student and teacher reports

Abstract

Load reduction instruction (LRI) is a practical instructional framework aimed at managing the cognitive demands experienced by students as they learn. LRI comprises five key instructional principles: (1) difficulty reduction during initial learning, as appropriate to students’ prior learning, (2) support and scaffolding, (3) structured practice, (4) feedback-feedforward, and (5) guided independent application. The present investigation explored student- and teacher-reports of LRI in both mathematics and English. The Load Reduction Instruction Scale – Short was administered to 1773 students and their teachers in 93 mathematics classrooms and 94 English classrooms. Multilevel (Level 1 student; Level 2 classroom) confirmatory factor analysis (MCFA) supported a Level 1 student LRI factor and a Level 2 class-average LRI factor in each of mathematics and English. However, two LRI factors emerged for teachers in each of mathematics and English: one factor related to Principle 1 (difficulty reduction) and one factor related to Principles 2–5 (scaffolding to autonomy). Follow-up multilevel structural equation modeling (MSEM) revealed that teachers adjusted their application of LRI Principle 1 (but not Principles 2–5) as a function of class-average prior learning (lower prior learning was associated with greater application of Principle 1). MCFA also showed that correlations between student- and teacher-reported LRI were low. Follow-up MSEM revealed that student- and teacher-reports of LRI uniquely predicted students’ effort and achievement—suggesting that students and teachers provide distinct insights into instruction (hence the low correlation between them) and highlighting the important role of both informants in capturing a comprehensive perspective on instruction in the classroom.