Project Status: Implementation/Execution

To provide academic support to students enrolled in courses with historically lower completion rates or courses considered to be large gateway STEM courses, the Office of Student Success and the Learning Center have collaborated to provide embedded academic support.  For the purposes of this pilot, embedded academic support utilizes peer tutors to deliver high-quality academic support to students.

Accomplished

  • Organized and offered the third Student Educator Lunch & Learn Series in the winter term with OAI.
  • Provided Drop-in Math & Stats Tutoring 4 hrs per week in MENASA.
  • Provided two exam prep workshops for Math & Stats facilitated by Academic Coach & Tutor in MENASA.
  • Provided Men of Color Power Hour Drop-in Math Tutoring in LC.
  • Conducted weekly Live Stream sessions for Chemistry 221 and Biology 211
  • Embedded 11 tutors in 9 courses (12 sections) with high DFW rates/low completion rates in the fall term.
    • Courses include Gen Chem sequence, Principles of Biology sequence, CS 161, 162 & 163 (Hybrid and OL), EAS 211 & 212
    • Embedded tutors provided for UNST 199,  Qualities of Math Confidence & Math 111Z Co-requisite.
  • Served 186 unique students through group tutoring & supplemental instruction sessions.
  • Deployed the Embedded Support Confidence Survey for all participating students.

In Progress

  • Partnering with SB to provide Embedded Tutoring for BA 211.
  • Continuing faculty outreach for embedded tutoring and supplemental instruction in high DFW courses for the spring term.
  • Recruiting and hiring tutors for the spring 2024 term to be embedded in courses.
  • Working with MCECS leadership to determine a way to streamline tutor recruitment.
  • Working with faculty to determine how to support students that would benefit from working with the embedded tutor.
  • Beginning to review and analyze preliminary data from fall & winter term. 
     

Project Team

Sponsor: Erica Wagner
Team: Shoshana Zeisman-Pereyo, Crystal Tenty, and Lexi Valbjorn
Collaborators: CLAS, MCECS