Data Analysis from Quarterly Reporting from Year 1 of CCC Maker

The 24 colleges participating in CCC Maker submitted quarterly reports containing both narrative and empirical metrics associated with the implementation of the initiatives outcomes of internships, makerspace, community of practice and curriculum. This post is a summary of the analysis performed on the metrics solely to project aggregates, means and trends that may serve as guiding performance measures to assist in further implementation in Year 2. A second analysis will be performed on the narrative sections of the reports correlating identified entities to outcomes.

The full analysis can be found here for reference with tables, charts and calculations.


Total Internships for Year 1 of CCC Maker = 209

The total number of students who accessed a CCC Makerspace in Year 1 was 17,284


Colleges on average reported makerspace usage to be 7.14 hours per day within a work week with each student logging in 6.26 hours per quarter.


Recruit of 3 employers per internship completed.

Engage approximately 83 students to successfully create that one internship.

Work volume calculated by the average student quarterly use of makerspaces yielding an average of 6.5 hours a day of makerspace use per internship placed.

Each faculty member represents on average of 16 student engagements within a makerspace.

Less than one curriculum piece developed per faculty indicating co-development of curriculum or faculty training in makerspace without developing any curriculum during year 1.


Values are preliminary and are expected to change in Year 2. However, these values indicate traction in makerspace usage towards outcomes. Envelopes of time give colleges a gauge of the effort they are producing toward employer engagement or faculty involvement. With students spending as much time at the makerspace, improved systems of time tracking may assist delineating time spent on makerspace activities versus non-makerspace activities. An updated study would need to be done at the college level to correlate values and impact to student success.  This would warrant a n updated check in system to capture student ids and cross reference institutional data.

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