Solution Just for you!
People Tech Group brings value to universities and colleges across the globe with meaningful partnerships that reduce student turn over by providing unbiased and science-based analytics to inform stakeholders and help them in data-driven decision-making.
Identify At-Risk Students
Student enrolment numbers have fallen to 3.1% in 2021
Loss of 465,300 students compared to 2020
Dropouts can cause a 30% loss of student funds
77% decrease in required calls to students
Because of the pandemic and various associated restrictions, Student Retention has become challenging for universities.
Increasing dropout rates become a financial solvency issue for the university that ultimately impacts their ROI (Return on Investment)
Core of What We Do!
People Tech Group built an AI-powered data platform and prediction system that ingests data from multiple sources, identifies student behaviors, and delivers relevant insights and actionable data for exact decision-making with a self-service, web-based dashboard.
What Makes Us Exceptional?
Using Data as a Tool to Support University Success
Tracking students' progress and assessing the likelihood of them being successful versus dropping out. In addition, it enablesidentification of those factors that are driving an increase in that risk for each student, along with their relative importance and provide them academic/consoling support.
Descriptive Analysis from Predictive Models
The initial dataset used in the student dropout prediction and then based on our exploratory data analysis, we found out some of the important social determinants contributing toward the dropout rate in a university.
The predictive model specialized for each university situation and requirement
It is created using ML/AI algorithms that review historical data for the institution and its students, such as Student Enrolment metrics, Student Grades metrics, Course Curriculum/major metrics, Grants Management and many more components.
Student Level Scoring that identifies all those students with a high dropout risk
Our unique dashboard checks each student's level information using Prescriptive analytics to provide custom recommendations.Student risk metrics divided into 3 categories – Green: Low risk of Dropout, Orange: Medium risk of Dropout, Red: High risk of Dropout. In addition, it generates a personalized profile of each student, complete with characteristics, dropout risk, specific risk factors, and other information.
Predictive & Prescriptive Analytics to generate reports and recommendations
Using Predictive analytics to generate reports / dashboards using factors like Financial Aid received, Age, Ethnicity, Top 5 major courses and many more predictions. The recommendations are generated using the three factors of Prescriptive analytics -Academical, Financial & Demographic data.
Excited to know more about our product?
Benfits
We are providing considerable benefits for higher education institutions:
Zero-cost PoC Features
Our Zero-cost proof of concept depends on different parameters, where universities can easily align with their existing student data.
First step Remote
Assessment to Unserstand current client business
Next Assessment
on backend Systmes
Connecting the
dots between two Disparate systmes
Extract and
buildStructure Data
Install IP Data
Lakeand Build 2 Data Repositories
Generate 2
Dashboards
Student Retention
Curriculum Planning
Finally, create Proof
of Concept on Student Retention
Key Highlights
