Development of a Learning Model for Large Class Cohorts to Strengthen Learning Outcomes of Students Based on Differentiated Instruction
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Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute
Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute

Education Quarterly Reviews

ISSN 2621-5799

asia institute of research, journal of education, education journal, education quarterly reviews, education publication, education call for papers
asia institute of research, journal of education, education journal, education quarterly reviews, education publication, education call for papers
asia institute of research, journal of education, education journal, education quarterly reviews, education publication, education call for papers
asia institute of research, journal of education, education journal, education quarterly reviews, education publication, education call for papers
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Published: 11 March 2021

Development of a Learning Model for Large Class Cohorts to Strengthen Learning Outcomes of Students Based on Differentiated Instruction

Siva PR Muppala, Balasubramanyam Chandramohan

Kingston University London (UK), University of London (UK)

asia institute of research, journal of education, education journal, education quarterly reviews, education publication, education call for papers
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doi

10.31014/aior.1993.04.01.184

Pages: 168-172

Keywords: Numerical Learning Model, Measurement/Quantification of Learning, Formative Assessment, Large Class Cohorts, Weaker Students, Group Learning

Abstract

We propose a new approach to classroom learning based on sequential numeral-division. It builds on the concept of trichotomy – division of students based on creamy-level, middle-level and weaker-level students -- proposed by the present authors. A sequenced series of formative assessments can map student progress and achievement, particularly in the case of weaker students. The idea behind the development of this model is to study if weak students perform better on critical-thinking tests in a collaborative learning setting rather than when they study individually. We propose a mathematical model to measure group activity/achievement, which is a complex function of several parameters. We collect data on different parameters for validation of the model in the near future.

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