Accelerating Student Success Through High-Return Personalized Pathways
Toolkit and Resource Center
Our toolkit and resource center includes best practices based on over 200 research interviews and on-sites with leading community colleges across the country. This library of tools and resources collected during our study will help you maximize return from flipped classrooms, match curriculum to career goals, and determine the optimal student mathpath.
Table of Contents
Developmental math is the single greatest barrier to completion among community college students, with over half of community college entrants testing into developmental coursework and only a small fraction of these students ever earning a college credential. Based on over 200 research interviews and on-sites with community college administrators, faculty, and students, the Forum identified three critical problem areas in the developmental math pipeline: ineffective delivery, irrelevant curriculum, and imprecise placement.
This toolkit addresses some of the most important questions members have brought to the Forum. Best practices and supplemental resources are arranged into three categories that map directly onto the sections of the best practice study, Reengineering Developmental Math.
Every member of an institution has a role to play in successfully implementing a flipped math classroom. Here you will find tailored redesign toolkits for faculty members, department chairs, task forces, and presidents. Resources include guides for instruction, implementation, and vision-setting in the transition to a modified math emporium.
Members insist that a successful modified math emporium starts with careful planning across all departments on campus: academic departments, information technology, student services, and the executive suite. This section offers a proposed cross-silo implementation timeline based on research conversations with more than 20 national exemplars in flipping the classroom.
Outcomes data and member experience prove that different interventions work best for different types of students. Administrators with limited funds to invest typically consider their college-specific student mix to decide the best innovation to implement on campus. This interactive diagnostic guides users through three primary factors to consider before redesign investment: math placement level, academic concentration, and motivation level.
Determining Optimal Student Mathpath
Three critical areas in need of redesign