The University of North Carolina Charlotte (20240212080). FLEXIBLE, INTEGRATED, FINANCIALLY AWARE GRADUATION OUTCOME PREDICTION SYSTEM simplified abstract

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FLEXIBLE, INTEGRATED, FINANCIALLY AWARE GRADUATION OUTCOME PREDICTION SYSTEM

Organization Name

The University of North Carolina Charlotte

Inventor(s)

Mohsen Dorodchi of Charlotte NC (US)

Elise Demeter of Huntersville NC (US)

FLEXIBLE, INTEGRATED, FINANCIALLY AWARE GRADUATION OUTCOME PREDICTION SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240212080 titled 'FLEXIBLE, INTEGRATED, FINANCIALLY AWARE GRADUATION OUTCOME PREDICTION SYSTEM

The patent application describes a model that utilizes student-specific academic data, financial data, institutional policy data, and outcomes to generate metrics for student progress and success indicators.

  • The model incorporates academic and financial data to estimate completion of a degree and predict student success.
  • User interfaces allow for collaboration on academic plans and interventions by advisors.
  • The model is continuously updated and trained online, with an administrator interface for customization per institution.
  • Alerts and changes in predicted outcomes are communicated to users.
  • A large language model enables natural language interaction and feedback.
  • The system addresses security, privacy, system integration, and customization needs of higher education institutions.

Potential Applications: - Academic advising and student success programs in higher education institutions - Financial planning for students to complete their degrees on time

Problems Solved: - Lack of personalized academic and financial guidance for students - Inefficient communication between students and advisors

Benefits: - Improved student retention and success rates - Enhanced financial planning for students - Streamlined academic advising processes

Commercial Applications: Title: "Enhancing Student Success and Financial Planning in Higher Education Institutions" This technology can be used by universities and colleges to improve student outcomes and financial planning, potentially increasing enrollment and graduation rates.

Questions about the technology: 1. How does this model improve communication between students and advisors? 2. What are the key factors considered in predicting student success and financial estimates?


Original Abstract Submitted

a model trained with student-specific academic data, student-specific financial data, institutional policy data, and student-specific outcomes is provided. subject student-related academic data and subject student-related financial data are applied to the model to generate advisor-facing metrics and/or student-facing metrics relating to student progress, such as a financial estimate pertaining to completion of a degree, a predicted student success indicator, and/or the like. a student-facing user interface and advisor-facing user interface facilitates configuration and collaboration of a student-specific academic plan, and intervention by advisor-users. the model is routinely updated and trained online, and an administrator-facing interface enables configuration per institution. users are notified of alerts or changes in predicted outcomes. the model may include a large language model to facilitate natural language interaction and/or feedback. the system addresses security, privacy, system integration, and customization needs of higher education institutional systems.

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