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Advocate Online
Thriving in Academe
Best Practices
Sample Rubrics
Below
are sections of rubrics that express the criteria and standards for
assignments in two different disciplines and institutions.
By Prof. William Marsh of the
Mathematics, Physics, and Computer Science Department at Raymond Walters
College, a two-year campus of the University of Cincinnati:
Assignment: Carry out a statistical
investigation.
Data Analysis Scale
5 Uses appropriate
statistical test with correct results. Provides an interval estimation of the
values of the parameter. Includes a hypothesis test and gives accompanying
p-level stating probability of type 1 error. 4 Provides
most of level 5, but one of the characteristics is missing or unclear. 3 Uses
correct statistical test, but estimation or interpretation is omitted. 2 Uses
correct statistical test, but there are errors in calculation and other work. 1 Incorrect
statistical test: data are erroneous or missing. Similar scales are constructed
for “Methodology” and “Conclusions.”
By Cara Carroccia, Architecture,
University of Notre Dame:
Assignment: Construct an architectural
program.
Style Scale
4 The architect
demonstrates a quality of imagination and rigor that results in a distinctive
project. The work shows a personal exploration. 3 Architect
includes refining details, but a portion of the work remains general. The overall
composition is pleasing. 2 The
architect does not invest himself or herself into the work. The style seems
bland, guarded, flat, and not very interesting. 1 The
architect demonstrates no recognizable individualistic or historic style. Similar
scales are constructed for other characteristics of the students’ work
including “Clarity of Concept and Design Objectives” and “Knowledge
of Construction.”
From Barbara E. Walvoord and Virginia J.
Anderson, Effective Grading: A Tool for Learning and Assessment.
San Francisco: Jossey-Bass, 1998, pp. 218–222.
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