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Division of Research
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    Streamlining research processes at UTRGV. Access tools and guidance for compliance, proposal submissions, funding, and more

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    The Division of Research at UTRGV is dedicated to advancing and supporting the university's research activities, benefiting students, faculty, and staff.

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    The Analytics Hub provides centralized access to key tools like ARGO, Control Tower, Data Pulse, DPM, and Academic Analytics, empowering data-driven decisions across research, academics, and operations at UTRGV.

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    Research Communications enhances the visibility and impact of research activities across UTRGV. Our mission is to ensure that UTRGV’s research reaches both internal and external audiences, enhancing the university’s research reputation.

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    Discover UTRGV’s Division of Research, supporting high-impact research and scholarship across all disciplines.

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  1. Home
  2. Departments
  3. Research Analytics
  4. Doctoral Insights Engine
  5. Graduate Program Outcome Funding (GPOF)
In This Section
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Research Analytics Menu

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Graduate Program Outcome Funding (GPOF)

Purpose and Scope

Graduate Program Outcome Funding (GPOF) Dashboard is designed to provide insights into UTRGV's graduate programs throughout the academic year and generate the GPOF ($) that will be provided to the academic colleges' dean. It tracks key metrics such as enrolled graduate students number, credit hours attempted and earned, dissertation and thesis hours earned, degree applicable credit hours earned, and GPOF ($) given out. The dashboard allows administrators and staff to make informed decisions related to the dollar amount received per graduate program per term within the given academic year. It offers a comprehensive view of graduate students' success, from enrollment to credit earned, helping stakeholders make data-driven decisions.

  • Student Performance Tracking: Tracks the accumulation of credit hours earned and calculate how many of those hours are going towards their degree overall.
  • Course Enrollment: List out each course that were enrolled for the given academic year for each graduate student.
  • GPOF ($): Displays the total dollar amount that each graduate program received.
  • Course Catalog : List out all course that were taught throughout the given academic year.

The dashboard aims to support proactive decision making to maximize the GPOF ($) received per degree applicable credit hour earned for the general graduate student population.

Explore Dashboard

Data Sources and Structure

The dashboard integrates data from SAIR Doctoral Reports (starting Fall 2015) and Banner, focusing on critical data points such as:

  • Credit hours earned per term
  • Dissertation hours
  • Enrollment and demographic information
  • Degree completions
  • Academic standing and lifecycle progression

The data is processed and visualized using Power BI, allowing for real-time tracking and analysis of student data.

Navigation and User Instructions

The dashboard consists of 4 tabs, each providing specific insights into the performance of doctoral and masters students, along with the GPOF ($) amount received. Users can filter results by student level, college/major, enrolled term, and academic year. Each tab serves a distinct purpose and includes interactive charts, tables, and KPIs to guide users through the data.

Key Metrics and Visualizations

Key metrics include:

  • Credit Hours: Number of the overall credit hours attempted and earned for both in the doctoral level and master level.
  • Enrolled Graduate Students: Displays the number of graduate student enrolled for given term and how many of those graduated.
  • GPOF ($): Display the financial compensation for each graduate program.

Visualizations include interactive bar charts, line graphs, tables, and heatmaps, enabling users to explore the data from various perspectives and make informed decisions regarding student and program outcomes.

Graduate Program Outcome Funding (GPOF)

User Manual: Graduate Program Outcome Funding (GPOF)

Overall Functionality: This page provides introduction to user, outlining its scope and purpose, detailing integrated Banner & Degree Work data sources, and offering users clear context for effective use.

Filters and Slicers:

  • AY: Filters data based on the selected academic year.
  • Level: Filters data based on the level of the graduate program (e.g. Masters or Doctoral)
  • College/School & Major: Filters data based on the selected college or major.
  • Enrolled Term: Filters by term enrolled (e.g., Fall, Spring, Summer).

Key Performance Indicators (KPIs):

  • Total Students: Displays the total number of doctoral students.
  • Student Status: A breakdown of student status such as current, dismissed, graduated, and stop out.

Cards:

  • Number of Attempted DR Hours: Displays the number of attempted doctoral level credit hours enrolled for.
  • Number of Earned DR Hours: Displays the number of earned doctoral level credit hours at the end of the term.
  • Number of Attempted MA Hours: Displays the number of attempted master's level credit hours enrolled for.
  • Number of Earned MA Hours: Displays the number of earned master's level credit hours at the end of the term.

Visuals:

  • Definition Icon: An icon that displays several definitions regarding this page when hovered over.
  • Graduate Student Credit Matrix: A detailed matrix table listing programs, doctoral student enrollment, and credit hours information, and GPOF ($) awarded for a given term.

Overall Functionality:

This page provides a high-level overview of enrollment and credit hours attempted and earned for graduate students. Users can filter by various categories to see insights on specific colleges, programs, and terms.

Filters and Slicers:

  • AY: Filters data based on the selected academic year.
  • Level: Filters data based on the level of the graduate program (e.g. Masters or Doctoral)
  • College/Major, Enrolled Term, Student Level: Allows filtering by major, level, and student’s enrollment term.
  • Repeated Courses: Filters data based on if the course were repeated by a student.
  • Enrolled Term: Filters by term enrolled (e.g., Fall, Spring, Summer).

Cards:

  • Number of Enrolled Students: Displays the number of enrolled graduate students.
  • Number of Course Repeating: Displays the number of courses that have repeating enrollment.

Key Performance Indicators (KPIs):

  • Enrolled Students Courses: Shows the list of enrolled courses for each graduate student.

Visuals:

  • Repeating Courses Table: Lists individual courses and their number of repeating enrollment..
  • Student Course History Table: Lists individual students and their enrolled courses along with their program information.

Overall Functionality:

This page tracks each individual graduate students and their enrolled courses for the given academic year in a simple to read format.

Filters and Slicers:

  • AY: Filters data based on the selected academic year.
  • Course Level, Type, Subject, and Course Number: Filters data by course level, type, subject and course number.

Key Performance Indicators (KPIs):

  • # of Courses, Subject: The total number of courses and subjects being offered by UTRGV for the given academic year.

Visuals:

  • Course Catalog Table: List out each course that were being offered by UTRGV for the given academic year.

Overall Functionality:

This page tracks and displays the number of courses that were being offered by UTRGV for the given academic year.

Access and Support

Access to the dashboard is restricted to authorized personnel, including PIs, department administrators, and financial leads who manage sponsored projects. Users can log in through the institution's secure login system to access the dashboard.

For technical support or inquiries related to the dashboard:

  • Contact Information: Users can reach out to the ResearchIT support team at ResearchIT@utrgv.edu for assistance with access, data issues, or other technical difficulties.
  • Training and Resources: Training sessions and user guides are available upon request to help users navigate the dashboard and utilize its features effectively.

If you have any additional questions or need further support, please contact researchIT@utrgv.edu support team for further assistance.

Division of Research


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