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Direct linkNyland, Rob; Davies, Randall S.; Chapman, John; Allen, Gove – Journal of Computing in Higher Education, 2017
This paper presents a case for the use of transaction-level data when analyzing automated online assessment results to identify knowledge gaps and misconceptions for individual students. Transaction-level data, which records all of the steps a student uses to complete an assessment item, are preferred over traditional assessment formats that…
Descriptors: Student Evaluation, Evidence Based Practice, Data Analysis, Knowledge Level
