Keynote I: Moderated Panel Discussion
The Transfer Playbook: Strategies for Strengthening Pathways to Bachelor’s Degrees and Beyond
Moderator: Davis Jenkins, Ph.D., Community College Research Center (CCRC), Columbia University
- Kerin Hilker-Balkissoon, Northern Virginia Community College
- Bekah Schlatter, Prince William County Public Schools
- Amy Takayama-Perez, George Mason University
Making Space for Data Insights
Presenter: Karen Stout, Ph.D., Achieving the Dream
Colleges and their leaders need to make space on their campuses to really listen to shape insights from the vast stores of data on our campuses. The presentation will articulate four ingredients that colleges need to gain better data insights including developing a strong analytical ecosystem, holding a basic understanding of process design, holding a mindset that values the hidden potential of qualitative research, and making a commitment to create space for stakeholder engagement with data.
Reimagining our Model to Improve Student Completion: The Guided Pathways Approach
Presenter: Rob Johnstone, Ph.D., National Center for Inquiry and Improvement (NCII)
Our best efforts by our best people to significantly improve community college completion rates haven’t produced the scaled improvements in outcomes we’d hoped. During this session, we’ll explore how to build on our past efforts and shift our thinking more fundamentally about how students are recruited to, enter, and progress through our colleges.
How Data has Dramatically Improved the College Experience at SPC
Presenters: Jesse Coraggio, Ph.D., Djuan Fox, Jamelle Conner, St. Petersburg College
This session will provide a detailed look at the implementation of a integrated student success system, The College Experience, and how ‘real-time’ data has been used to continually improve its five primary components; Enhanced New Student Orientation (Smart Start), Integrated Career and Academic Advising, My Learning Plans, Expanded Out-of-Class Support, and Early Alerts and Student Coaching. Information will provided on the evolution of the College Experience since its inception in 2012, the development of the Pulse Business Intelligence (BI) system, and the empowerment of front-line staff in extracting and using analytical data in regularly scheduled, focused conversations about student success improvement.
Implementing a College Success Coaching Model to Help Students Achieve Their Educational Goals
Presenters: Cory Claseman-Ryan, Ph.D., Ivy Tech Community College
Using grant funding, Ivy Tech Community College recently adopted a “college success coaching” model, where coaches help low-income students learn to identify potential obstacles to achieving their academic goal, connect with on-campus resources, create contingency plans, and learn to balance outside commitments and financial challenges with their academic pursuits. The program has proven to be so successful that within just two years retention rates for this group of students are now similar to those for the greater student body, and the program is now self-sustaining. Ivy Tech has been able to use the data provided to intervene on a student’s behalf when individual problem arise, and to track larger measures of institutional effectiveness using the data collected from students during each coaching session. Although a large-scale model will be introduced, this approach has been used at both large and small institutions and is applicable to many colleges of universities.
Improving Student Success with Microsoft and Cortana Analytics
Presenters: Dustin Ryan and Gauruv Hind, Microsoft
Data is now the key strategic asset whether we’re talking about business, healthcare, or education. Leveraging this data can be the differentiator for your students, professors, and institutions. Microsoft and Azure gives educational institutions the ability to leverage data in advanced scenarios with minimal cost and investment. In this session, we’ll discuss and demonstrate how to use Azure technologies to fully leverage data, perform predictive analysis, and also discuss potential reference architectures for various analytics scenarios. By the end of this session, attendees will have a better idea of the capabilities of Azure and how to begin leveraging Azure services and Power BI.
The Culture of Data in Action Driving Improvements for Student Success
Presenters: Jennifer Hill-Kelley, Amber Michaels Schmitt, and Marc Ditty, Northeast Wisconsin Technical College
At Northeast Wisconsin Technical College, students are the center of all that we do. This session will present case studies of practices that are driving the culture of data and evidence at NWTC to improve the impact of our student success efforts.
Using Data Mining to Determine Significant Predictors for College Program Success, Program Admissions Criteria, and Pre-program Identification of Borderline Students
Presenters: Benjamin Dickman, Rockland Community College (SUNY)
This session will present a data analytic study using free software packages (R-Project) to illustrate how institutions can generate models that will enable them to 1) tune program admissions criteria to find the effect on success rate in a “gatekeeper” course for the program; and 2) find, before the “gatekeeper” course begins, who are the likely borderline students who would most likely flip from failure to success in the course. This assumes that there are limited resources that must be focused on a subset of students in order to increase course success rate and program graduation rate.
Improved Course Scheduling with Actionable Data from Ad Astra’s Platinum Analytics
Presenters: Luke Kearney, Ad Astra Information Systems
In this session, we will be examining the challenge and opportunity associated with matching course offerings to student pathways and the impact this has on student progression, on-time completion, and performance funding. Join us to discuss regional case studies and view the functionality of Ad Astra’s Platinum Analytics. See how recommendations are made at the section level which allows institutions to schedule for student completion and campus efficiency.
Real Time Student Learning Data for Early Warning and Intervention: How MCC-KC Faculty Use Echo360 in Gateway Courses to Improve Student Success
Presenters: Jason Pallett, Metropolitan Community College of Kansas City, and Darin Francis, Echo360
This session will address how a community college developed a plan to address DFW rates in gateway courses that lead to greater student engagement, the funding associated with the effort, and how Echo360 was used by faculty and students.
The Untapped Data Ecosystem: Using Analytics and Insight to Improve Student Success
Presenters: John “J.D.” White, Ph.D., Campus Labs
Student success is a campus-wide, multifaceted effort. Programs and interventions are put in place across campuses each year to support students on their path toward graduation. But how do you know if your efforts are working? With success initiatives spread across departments and divisions, the student data associated with these efforts is often scattered and trapped in silos. As a result, it’s challenging to gauge the true impact of your approach—and even more importantly, how you might improve upon it. In this presentation, we will help you think creatively about existing and untapped campus data sets that provide valuable insight into the impact of your efforts. You can then harness that data to leverage the power of your data ecosystem to improve your practices and make data-informed decisions. We will also show you how these insights can be shared with your campus community to better support efforts both inside and outside the classroom to positively impact student retention and success.
All Hands on Deck: A Collaborative, Cross-functional Approach to Student Success
Presenters: Kellie Ziemak, Matthew Bodie, Kelliann Ganoo, Carol Weidman, and Frank Jurkovic, St. Petersburg College
“It takes a village to raise a child’ – African Proverb. At St. Petersburg College (SPC), we believe it takes staff from across the college to help students be successful. At SPC, we recognize that student success is dependent on a support network to assist the student from the time of enrollment through attainment of a post-secondary credential and beyond. This includes continuing to a bachelor’s degree program or entering the workforce. As part our work on The College Experience over the last five years, we have developed a collaborative approach across traditional divisions that include faculty, learning support, career and academic advising, and student life and leadership. Through a dynamic moderated panel discussion individuals from these various roles will discuss successful and innovative strategies that have impacted student success at SPC. Time will be provided at the end of the session for audience members to ask specific questions from the panelists.
Visualizing the Future: Using Data Analytics to Inform Decision Making
Presenters: Resche Hines and Angela Henderson, Stetson University
This session will demonstrate how one institution has transformed institutional data into interactive BI analytics reports (using Power BI) to inform institutional decision making. To provide a holistic view of data trends, a series of shared interactive reports were created which display data from multiple lenses and units of analysis (institution, college, department, faculty, student, etc.). A variety of measures, including academic outcomes, enrollment, transition between majors, and peer benchmarks were included to allow campus users to explore data patterns and correlations to effectively inform decision making.
Keeping Up with the Classroom: How Classroom-level Data Can Increase Student Engagement and Success
Presenters: Perry Sampson, University of Michigan, and Bradley Fordham, Ph.D., Echo360
Today, technology is giving us unprecedented insight into daily behaviors, and as we’re seeing with the quick adoption of wearables, is encouraging individuals to make positive changes. In higher ed, classroom activity, and the learning that results, remains relatively unknown. Can better insight into student behaviors like note taking, revisiting course content, participating in class, and flagging confusing content encourage deeper engagement in learning? Come hear how faculty and institutional leadership are using instructional technologies and data—coupled with innovative pedagogy—to develop an unparalleled understanding of what drives student learning. Using these data-driven insights, faculty can intervene and support students when they need it, driving their success in the course and ultimately towards completing their degree. This panel will discuss how these classroom-level insights can be leveraged to inform teaching and learning, support students just-in-time, and help advance institutional success.
The Playbook for Implementing Guided Pathways
Presenters: Sabrina Crawford and Mark Strickland, St. Petersburg College
This session will describe how St. Petersburg College, selected as one of AACC’s 40 Pathways Institutions, has been developing and implementing the Guided Pathways model over the last five years. Evolving from the early days of building The College Experience and the development of values around the institution’s curriculum process, today it has a defined collaborative focus on how a student ‘sees’ the institution. Participants will be provided a an in-depth look of a nine month process to engage the entire college-wide community in the work around guided pathways which includes Career and Academic Communities, Summer Institutes, Faculty Dinner Conversations, Campus Pathway Forums as well as a general Academic Pathway theme through Fall Faculty Convocation, the College wide Meeting for Advisory Committee members, and All College Day for Faculty and Staff.
Automated Student Outcomes Assessment and Evaluation Based on Bloom’s 3 Domains, Learning Levels Utilizing State of the Art Web-based Software and Methodology
Presenters: Wajid Hussain, Islamic University
In this session, stake holders in the higher education process, such as administrators, faculty, and accreditation agencies, will be introduced to state of the art methodology, digital technology, and systems that support automation – streamlining of the student outcomes assessment process for Continuous Quality Improvement. The following shall be covered in the presentation: Outcomes Based Education (OBE) methodologies suited to digital automation; digital technology implemented at the Faculty of Engineering, Islamic University for automated assessment of realistic student learning outcomes data; and understanding of the necessity of integration of Learning Management System (LMS), Outcomes Assessment System (OAS), and Continuous Improvement Management System (CIMS) for Continuous Quality Improvement (CQI).