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De Anza Math Pilot Results, 7-9-07 1 De Anza College Developmental Math Pilot Results Andrew LaManque, PhD Supervisor, Institutional Research De Anza College.

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Presentation on theme: "De Anza Math Pilot Results, 7-9-07 1 De Anza College Developmental Math Pilot Results Andrew LaManque, PhD Supervisor, Institutional Research De Anza College."— Presentation transcript:

1 De Anza Math Pilot Results, 7-9-07 1 De Anza College Developmental Math Pilot Results Andrew LaManque, PhD Supervisor, Institutional Research De Anza College

2 De Anza Math Pilot Results, 7-9-072 Overview of the Pilot Purpose of the Evaluation Results from Quantitative Analysis Demographics of Students Course Success End of Class Survey Findings Outline

3 De Anza Math Pilot Results, 7-9-073 Overview of the Pilot A Partnership was formed to increase the success rates in Pre-Collegiate math courses Components: Math and Counseling faculty EnableMath – Course Software Noel Levitz – College Student Inventory Using technology, provide students timely information on their progress as well as information about their motivations

4 De Anza Math Pilot Results, 7-9-074 Overview of the Pilot Developmental math sequence consists of pre, elementary, and intermediate algebra Offer 175 class sections per year of developmental math (37% of all math department courses) Historically, a 55% success rate in developmental math courses 31 full-time instructors, 45 part-time instructors Class size is 40

5 De Anza Math Pilot Results, 7-9-075 Program Evaluation Given that the pilot program provides an additional learning choice for students, the question from the Dean is: “do the results demonstrate that pilot students do at least as well as other students” Using multiple forms of evaluation (e.g. student grades, student surveys) provides feedback to instructors as well as administration on implementation

6 De Anza Math Pilot Results, 7-9-076 Limitations Not a randomized trial – possible instructor (although, 12 different instructors participated) and student self selection bias No independent measure of success More research is needed to determine the relative effect of each intervention Program Evaluation

7 De Anza Math Pilot Results, 7-9-077 Results: Demographics of Students Twice the % of Latino students as college, similar to non-pilot sections

8 De Anza Math Pilot Results, 7-9-078 Results: Demographics of Students Many first-generation college students

9 De Anza Math Pilot Results, 7-9-079 Results: Course Success Approx 1 of 5 students

10 De Anza Math Pilot Results, 7-9-0710 Results: Course Success

11 De Anza Math Pilot Results, 7-9-0711 Results: Course Success Using Chi Square at.05 the results from each course are statistically different using a 2x2 methodology where one dimension is success/nonsuccess and the other is Pilot/NoPilot.

12 De Anza Math Pilot Results, 7-9-0712 Results: End of Class Survey

13 De Anza Math Pilot Results, 7-9-0713 Results: End of Class Survey 77% Agree or Strongly Agree

14 De Anza Math Pilot Results, 7-9-0714 Results: End of Class Survey 61% Agree or Strongly Agree

15 De Anza Math Pilot Results, 7-9-0715 Findings Students currently in the project want to take next class in sequence These classes are filled before other math classes Participating instructors & counselors want to continue More faculty are wanting to participate

16 De Anza Math Pilot Results, 7-9-0716 Findings No increased costs – taking existing resources and using them differently Regular class period / time Counseling time in the class instead of counseling center

17 De Anza Math Pilot Results, 7-9-0717 Findings Despite research limitations, can conclude from the evaluation that the program is at least as effective as regular sections With no additional costs and benefits for at least some students, the Dean has given the pilot a very positive recommendation for continuation

18 De Anza Math Pilot Results, 7-9-0718 Questions For a copy of this presentation please email Andrew LaManque at: lamanqueandrew@fhda.edu


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