Concept inventories in computer science for the topic discrete mathematics
Vicki L. Almstrum, Peter Henderson, Valerie J. Harvey, Cinda Heeren, William Marion, Charles Riedesel, Leen‐Kiat Soh, Allison Elliott Tew
Abstract
Vicki L. Almstrum, Peter Henderson, Valerie J. Harvey, Cinda Heeren, William Marion, Charles Riedesel, Leen‐Kiat Soh, Allison Elliott Tew
Abstract
This report describes concept inventories, specialized assessment instruments that enable educational researchers to investigate student (mis)understandings of concepts in a particular domain. While students experience a concept inventory as a set of multiple-choice items taken as a test, this belies its purpose, its careful development, and its validation. A concept inventory is not intended to be a comprehensive instrument, but rather a tool that probes student comprehension of a carefully selected subset of concepts that give rise to the most common and pervasive mismodelings. The report explains how concept inventories have been developed and used in other STEM fields, then outlines a project to explore the feasibility of concept inventories in the computing field. We use the domain of discrete mathematics to illustrate a suggested plan of action.
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This report describes concept inventories, specialized assessment instruments that enable educational researchers to investigate student (mis)understandings of concepts in a particular domain. While students experience a concept inventory as a set of multiple-choice items taken as a test, this belies its purpose, its careful development, and its validation. A concept inventory is not intended to be a comprehensive instrument, but rather a tool that probes student comprehension of a carefully selected subset of concepts that give rise to the most common and pervasive mismodelings. The report explains how concept inventories have been developed and used in other STEM fields, then outlines a project to explore the feasibility of concept inventories in the computing field. We use the domain of discrete mathematics to illustrate a suggested plan of action.
Key concepts: Concept inventory, Domain (mathematical analysis), Field (mathematics), Comprehension, Set (abstract data type), Plan (archaeology), Computer science, Action (physics)