Student Success Specialist – Quantitative Support

Lawrence University


Position Details
Position Information

Position Title Student Success Specialist – Quantitative Support
Location Appleton
Department Center for Academic Success
Position Type Staff
Position Description & Qualifications PRIMARY OBJECTIVE
The Student Success Specialist-Quantitative Support is a vital team member in the Center for Academic Success (CAS) who will provide quantitative reasoning support to students, assist students to identify and address motivation, mindset and goal-setting as they relate to their quantitative success, consult with faculty and staff, facilitate peer tutoring for courses which utilize quantitative reasoning skills, and (dependent on university needs and the candidate’s experience) may teach one course per academic year in support of developing students’ quantitative reasoning skills. The CAS takes a collaborative approach to providing holistic academic support for Lawrence University students.
DUTIES

  • Provide quantitative reasoning skills support to foster students’ academic success. Specifically:
    • Offer individual student meetings and group sessions/workshops to address a wide range of learning styles and needs related to coursework from multiple academic departments (including, but not limited to, mathematics, statistics and data science, computer science, natural sciences, and social sciences) which utilizes quantitative reasoning skills.
    • Manage faculty referrals and communicate with faculty and staff about student concerns.
    • Possibly teach one course per academic year in support of students’ quantitative reasoning (e.g., MATH 103: Preparation for Calculus).
  • Assist students with identifying and addressing issues related to motivation, mindset, goal-setting, values, well-being, and self-awareness as it relates to their quantitative and overall academic success.
  • Manage student cases in student success management software as they relate to quantitative support, respond to course performance/progress reports or alerts, and communicate with faculty and staff about student concerns.
  • Work collaboratively with fellow staff in the CAS, other faculty and staff, and student peer tutors to ensure that students are developing the academic skills to be successful at Lawrence University. Specifically:
    • Collaborate with academic departments to support and further develop a system of quantitative peer-tutoring, including recruitment and training of student tutors.
    • Provide referrals to other campus resources as needed.
    • Collaborate with academic departments to execute and expand the math placement assessment to provide a baseline diagnostic of entering students’ quantitative skills to inform advising and course placement.
    • Ensure accurate and timely record-keeping, including meeting notes and data regarding participation in programs and initiatives overseen by this role. Make data-informed decisions regarding the work of this position.
    • Participate in events such as new student orientation and represent the CAS as requested at various university events.
  • Participate in professional development activities; continue to enhance professional skills and remain current regarding best practices in the quantitative skills support field.
  • Other duties as assigned by the Associate Dean of Academic Success.

WORKING RELATIONSHIPS
Will work collaboratively with Center for Academic Success colleagues, Lawrence University faculty and staff, and students. The Student Success Specialist-Quantitative Support manages a small team of student peer tutors who support quantitative skills coursework and works closely with the Associate Deans of Academic Success.
KNOWLEDGE AND SKILLS REQUIRED

  • Bachelor’s degree in a quantitative field, plus five years relevant experience required; master’s degree in a quantitative field preferred.
  • Ability to assess students’ quantitative skill development needs and offer appropriate support and resources, as well as make referrals to campus partners.
  • Ability to assess and support students in addressing motivation, mindset and academic well-being.
  • Understanding of the content taught in calculus, multivariable calculus, and discrete math courses (MATH 140, 155, and 230) at Lawrence University.
  • Experience with some of the following: math course placement software, Microsoft Excel,
  • Demonstrated experience with culturally responsive interactions between colleagues and with diverse populations including, but not limited to, domestic and international students of color, LGBTQIA+ students, AAPI and BIPOC students, first generation college students, students with disabilities, and students of various ethnicities, cultures, and religious backgrounds.
  • Exceptional communication, organizational, time management and interpersonal skills.
  • Demonstrated strong work ethic and a willingness to work collaboratively with others, as well as to think and work independently, motivated to find ways to expand programs and resources to a wider audience.
  • Understanding of and appreciation for the value, relevance, and benefits of a liberal arts education, especially one with a strong fine and performing arts component.

LIST OF APPLICATION MATERIALS
Please submit a resume, cover letter, and statement on diversity which addresses your experience engaging with diversity and inclusion in your professional life (and/or as related to support of quantitative reasoning skills and academic success more broadly) and ways that you could contribute to these efforts at Lawrence University.
EMPLOYMENT REQUIREMENTS
Must have successful completion of criminal record check and reference checks.
 We encourage applications from individuals who will help us create a more inclusive Lawrence by: (1) further diversifying the staff; and/or (2) demonstrating experience with successful diversity-related quantitative reasoning initiatives or research; and (3) showing interest in developing programs to address the quantitative reasoning support needs of a diverse student body. 

Posting Detail Information

Posting Number S329P
Number of Vacancies 1
Posting Date
Best Consideration Date
Close Date
Open Until Filled Yes
Special Instructions Summary
Anticipated Number of Hours per Week 40

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