Whereas, Using high school transcript data, the Multiple Measures Assessment Project (MMAP) has developed placement models in English, mathematics, English as a Second Language (ESL), and reading that are currently being piloted at more than 20 different community colleges;
Whereas, The placement models developed by MMAP typically require a higher level of predicted success than many placement tests currently in use at colleges;
Whereas, Using actual student data, MMAP has developed a placement model for transfer level statistics that indicates that some students are likely to be successful at statistics even though Algebra I was their highest high school mathematics course completed; and
Whereas, An analysis of 22,403 students that enrolled in transfer level statistics as their first college mathematics course, 2,435 of those students had completed Algebra I as their highest high school mathematics course, 703 of these would have been placed based MMAP placement model with a 60 % success rate, while 1,732 of these students do not satisfy the MMAP placement model and had a success rate of 48%;
Resolved, That the Academic Senate for California Community Colleges authorize the distribution of the “MMWG Mathematics Decision Rules Recommendation and Discussion Summary” to Multiple Measures Assessment Project and Common Assessment Initiative pilot colleges;
Resolved, That the Academic Senate for California Community Colleges urge local senates to work with their administrations to ensure that the proposed statistics placement model is analyzed using data for their own students to ensure that the model works as predicted prior to using it to place students;
Resolved, That the Academic Senate for California Community Colleges urge local senates to review the proposed statistics placement model and make any necessary modifications to ensure no negative impact on existing articulation agreements between their college and four year universities; and
Resolved, That the Academic Senate for California Community Colleges collect data on the effectiveness of the statistics placement models and report the results by Fall 2017.
2017 - 18: This resolution calls for us to collect data on the effectiveness of the statistics placement models and report the results by Fall 2017. The committee will develop a survey for consideration of approval for the Executive Committee with the understanding that the survey will go out in October and presented at a breakout in November.