The following article discusses how to choose effective assessments for PBL and diversify assessment so we can get a fuller picture of students' learning: Choosing Effective Assessments for PBL by Michael McDowell.
In addition, the examples for project assessment presented here are mainly for course projects done at UNC Charlotte (by Angela Berardinelli and team). However, these can easily be adapted to assess PBL projects.
Example 1 (Fall 2020 Project): project context, specifications and rubrics
Example 2 (Spring 2022 Project): project context, specifications, rubrics
Example 3 (Fall 2022 Project): project specifications, rubrics
TO BE DONE:
Draft a guide to creating an assessment rubric for a PBL-style data science project
Obtain another instructor’s project specifications
Apply the assessment rubric guide to that instructor’s project specifications, to determine the feasibility of using our guide in practice.
Draft a guide on options for specific rubric structure (number/type of columns)
Draft a guide to incorporating PBL-style projects into final course grades
Draft a guide outlining considerations for crafting a PBL specs document with clear assessment expectations