SAUM - Self-Paced Online Guide

Designing and Implementing a Program for Assessing Learning in the Major

The following is a suggested sequence for using the resources on this and other sites to design a program of assessing learning in the undergraduate mathematics major. Except for two books suggested in the final step (#10), full texts of all of the suggested readings are accessible by way of the given links. (The two books can be read on line.) Of course, some users may choose a sequence different from the one suggested and may use resources other than the ones suggested.

This is a reasonable point at which to reflect on and discuss these sources and to resolve conflicting interpretations and arrive at a working consensus that can guide your work on assessment. Areas that commonly cause confusion are: (1) distinctions among terms such as outcomes, goals, and objectives; (2) how to narrow the assessment plan so that it can be accomplished and promote valid inferences; and (3) how the assessment data will be used.

These readings have made suggestions about visions for the structure and goals of the major. This should provide a basis for a process within your department to come to agreement on a vision statement that is useful for assessment. This process may be lengthy, but it is serious work that is essential before moving on to finalize or implement assessment activities.

The readings in the next two steps are relevant during or after this vision-developing process. These readings expand on assessment by looking at it from an international perspective and in a larger arena of program evaluation and accountability, where your assessment results may be used.

“Indicators of Quality in Undergraduate Mathematics” is an NSF project led by Kenneth Travers et al. at the University of Illinois intended to help mathematics departments monitor the quality of their lower division program. A major goal was to devise statistical measures that can document characteristics of mathematics programs and gain experience in ways to effectively carry out a data-based self-assessment study. The report, based on pilot studies at three very different kinds of institutions, identifies ten issues with sixty associated statistical measures (indicators).

At this point it is likely that a preliminary plan has been developed. This plan likely includes learning goals and objectives, curricular and instructional strategies, and areas of gathering data – roughly steps 1, 2, and 3 of the assessment cycle. The plan may include how the data will be used.

Experiences of others and further reading about results of research on learning can help refine your preliminary plan. This preliminary plan and the brief abstracts and annotations can guide you in selection of readings.