2015 journal article

Understanding the evolution of mathematics performance in primary education and the implications for STEM learning: A Markovian approach


By: A. Reamer n, J. Ivy n, A. Vila-Parrish n & R. Young n

author keywords: Mathematics education; Longitudinal student data; Markov chain; Educational data mining
TL;DR: This work conducts an extensive examination of tens of thousands of student records and uses Markov chain models to probabilistically characterize the movement of students' scores from one grade level to the next, the first step in developing a framework to forecast individual students' development of mathematical knowledge over time. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

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