A CONCEPTUAL FRAMEWORK FOR FORMATIVE ASSESSMENT IN LARGE-ENROLLMENT INTRODUCTORY STATISTICS

Authors

  • KIMBERLEIGH FELIX HADFIELD Utah State University

DOI:

https://doi.org/10.52041/serj.v22i1.99

Keywords:

Statistics education research, formative assessment, large-enrollment, feedback, attitudes toward statistics, student achievement, reassessment

Abstract

Implementing formative assessment in large-enrollment statistics courses is recommended by mathematics and statistics education communities. Yet research maintains that large-enrollment courses employ few, if any, formative assessments, exacerbating negative attitudes toward statistics and low student achievement. This conceptual essay applies an andragogical approach to the theories of self-efficacy, self-regulation, and formative assessment. A literature review explicates the associations between formative assessment with feedback and reassessment with student attitudes and achievement. Resulting from the review, a conceptual framework is proposed that illustrates the relations between the elements of formative assessment cycles and student attitudes and achievement. The implications of this conceptual framework suggest a comprehensive transformation of assessment practices to provide pathways for student success in statistics courses.

References

Abell, M., Braddy, L., Ensley, D., Ludwig, L., & Soto, H. (2018). MAA instructional practices guide. Mathematical Association of America. https://www.maa.org/programs-and-communities/curriculum%20resources/instructional-practices-guide

Aliaga, M., Cobb, G., Cuff, C., Garfield, J., Gould, R., Lock, R., Moore, T., Rossman, A., Stephenson, B., Utts, J., Velleman, P., & Witmer, J. (2005). Guidelines for Assessment and Instruction in Statistics Education College Report. https://www.amstat.org/asa/files/pdfs/GAISE/2005GaiseCollege_Full.pdf

American Mathematical Society. (AMS). (2009). AMS homework software survey. http://www.ams.org/profession/leaders/WATSreport.pdf

American Statistical Association Revision Committee. (2016). Guidelines for assessment and instruction in statistics education (GAISE) college report. American Statistical Association. http://www.amstat.org/education/gaise

Assessment Reform Group. (2002). Assessment for learning:10 principles. https://dspace.stir.ac.uk/bitstream/1893/32458/1/Assessment%20for%20learning%2010%20principles%202002.pdf

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Published

2023-05-16

Issue

Section

Regular Articles