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A forecast of achievement from student profile data
Authors:Gary Grudnitski
Institution:San Diego State University USA
Abstract:A compelling case has been made by accounting leaders for the increased use of groups to enhance learning in the classroom. If an instructor wants to form groups based on achievement or skill levels at the beginning of an accounting course, the purpose of this paper is to show that achievement levels can be forecast from profile data obtained from students on the first day of class. Specifically, results of this study indicate that the intent of a student to major in accounting and the grade he or she made in Introductory Financial Accounting provide an accurate forecast of the achievement of that student in Introductory Managerial Accounting. Additionally, the study's findings suggest there is some basis for a template that can be applied to forecast achievement levels of students in other accounting courses.
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