How Florida International University Predicts the Future to Help At-Risk Students
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- DataRobot
- Tableau
Tech Stack
- Machine Learning
- Predictive Analytics
- Data Visualization
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
Technology Category
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Machine Learning
Applicable Industries
- Education
Applicable Functions
- Human Resources
Use Cases
- Predictive Quality Analytics
- Predictive Replenishment
Services
- Data Science Services
About The Customer
Florida International University (FIU) is one of the largest universities in Florida and the country, with two major campuses in Miami-Dade County. It is officially designated as a minority-serving and Hispanic-serving institution, providing a world-class education to the local communities in the city of Miami. Many of the students come from situations that present obstacles, such as coming from low-income areas, being the first in their family to go to college, or being the first of their family to enter the country.
The Challenge
Florida International University (FIU), one of the largest universities in Florida, was facing a challenge in identifying and assisting at-risk students. Many of their students come from low-income areas, are the first in their family to go to college, or are the first of their family to enter the country. These factors often present obstacles that make it difficult for these students to progress. The university's analysis was more reactive than proactive, identifying students who had already faced academic or financial obstacles. The university wanted to be more proactive with data to better serve their students.
The Solution
FIU adopted automated machine learning as a means of powerful insights, analysis, and decision-making. They started working with DataRobot, which had an immediate impact and produced significant results. With dozens of models accurately predicting and identifying students in real-time, the team shared these reports with various departments across the university, including administrators, academic advisors, and financial advisors. To bridge the gap between the analytics and the actions that could help save at-risk students, they paired DataRobot with Tableau dashboards and filters. This combination put the power of machine learning in many more hands, without exposing them to any of the complexities of machine learning.
Operational Impact
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
IoT platform Enables Safety Solutions for U.S. School Districts
Designed to alert drivers when schoolchildren are present, especially in low-visibility conditions, school-zone flasher signals are typically updated manually at each school. The switching is based on the school calendar and manually changed when an unexpected early dismissal occurs, as in the case of a weather-event altering the normal schedule. The process to reprogram the flashers requires a significant effort by school district personnel to implement due to the large number of warning flashers installed across an entire school district.
Case Study
Revolutionizing Medical Training in India: GSL Smart Lab and the LAP Mentor
The GSL SMART Lab, a collective effort of the GSL College of Medicine and the GSL College of Nursing and Health Science, was facing a challenge in providing superior training to healthcare professionals. As clinical medicine was becoming more focused on patient safety and quality of care, the need for medical simulation to bridge the educational gap between the classroom and the clinical environment was becoming increasingly apparent. Dr. Sandeep Ganni, the director of the GSL SMART Lab, envisioned a world-class surgical and medical training center where physicians and healthcare professionals could learn skills through simulation training. He was looking for different simulators for different specialties to provide both basic and advanced simulation training. For laparoscopic surgery, he was interested in a high fidelity simulator that could provide basic surgical and suturing skills training for international accreditation as well as specific hands-on training in complex laparoscopic procedures for practicing physicians in India.
Case Study
Implementing Robotic Surgery Training Simulator for Enhanced Surgical Proficiency
Fundacio Puigvert, a leading European medical center specializing in Urology, Nephrology, and Andrology, faced a significant challenge in training its surgical residents. The institution recognized the need for a more standardized and comprehensive training curriculum, particularly in the area of robotic surgery. The challenge was underscored by two independent studies showing that less than 5% of residents in Italian and German residency programs could perform major or complex procedures by the end of their residency. The institution sought to establish a virtual reality simulation lab that would include endourological, laparoscopic, and robotic platforms. However, they needed a simulator that could replicate both the hardware and software of the robotic Da Vinci console used in the operating room, without being connected to the actual physical console. They also required a system that could provide both basic and advanced simulation training, and a metrics system to assess the proficiency of the trainees before they performed surgical procedures in the operating theater.
Case Study
Edinburgh Napier University streamlines long-distance learning with Cisco WebEX
• Geographically dispersed campus made in-person meetings costly and inconvenient.• Distance-learning programs in Malaysia, India, and China required dependable, user-friendly online tools to maximize interaction in collaborative workspaces.• Virtual learning environment required a separate sign-in process, resulting in a significant administrative burden for IT staff and limited adoption of collaboration technology.
Case Study
8x increased productivity with VKS
Before VKS, a teacher would spend a lot of time showing a group of 22 students how to build a set of stairs within a semester of 120 hours. Along with not leaving the teacher much time to provide one-on-one support for each student to properly learn carpentry, it also left a considerable amount of room for error. Key information would be misinterpreted or lost as the class was taught in the typical show-and-tell way.
Case Study
Scalable IoT Empowering GreenFlex's Sustainable Growth
GreenFlex, a company that supports sustainable development, decarbonization, and energy efficiency, faced several challenges in its quest to expand its business. The company needed to deploy a robust and sustainable IoT technology to support its growth. It was crucial for them to monitor and control devices at customer sites in a safe and reliable manner. They also needed to integrate devices across a range of communication protocols and gather and act on data to meet efficiency targets. GreenFlex had previously built IoT capabilities into its digital platform, GreenFlexIQ, to monitor and manage customer sites remotely. However, they soon realized that they needed a new platform to support their ambitions. They needed a platform that could scale to connect more devices for production management and make it easier for the operations team to manage devices in the field.
