Using student and instructor characteristics to predict student success in Algebra courses

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Auteurs
Date

6 février 2019

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Type de document
Périmètre
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Identifiants
Source

HAL-SHS : sciences de l'éducation

Collection

Archives ouvertes

Organisation

Centre pour la communication scientifique directe

Licence

info:eu-repo/semantics/OpenAccess

Mots-clés En

Algebra grade prediction post-secondary institutions multiple regression analysis

Sujets proches En

School life Students--Education Pupils Student life and customs Linear regression Regression modeling Analysis, Regression Methods of analysis Analysis and chemistry Analytical methods Chemical analysis Analysis methods Analysis and examination

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Laura Watkins et al., « Using student and instructor characteristics to predict student success in Algebra courses », HAL-SHS : sciences de l'éducation, ID : 10670/1.mjndhv

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Résumé En

This paper explores the relationship between characteristics, beliefs, backgrounds and perceptions of students and instructors with students’ grade earned in algebra courses at two-year post-secondary institutions in the U.S. using multiple linear regression. We present the results of an analysis of data collected during the Fall 2017 semester. From this analysis we seek to highlight a few predictor variables with significant influence on the outcome variable of student grade in the course and provide interpretations of these results.

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