Distributed Learning for Undergraduate Programs in Data Science at Diverse Universities

PDF Version Also Available for Download.

Description

Data management plan for the grant, "Distributed Learning for Undergraduate Programs in Data Science at Diverse Universities." Here, we propose to expand on our previous NSF-supported work in developing a suite of courses in data science (DS) that were taught across a network of 4 undergraduate institutions in a distributed learning (DL) format. The current proposal seeks to expand the size and diversity of our network while adapting the advanced distributed learning (ADL) technology of the U.S. military to an academic setting to harness the power of AI in tailoring optimal learning experiences for individual students.

Creation Information

Spector, J. Michael 2022-10-01/2025-09-30.

Context

This text is part of the collection entitled: UNT Funded Research Projects and was provided by the UNT College of Information to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 22 times. More information about this text can be viewed below.

Who

People and organizations associated with either the creation of this text or its content.

Researcher

Provided By

UNT College of Information

Situated at the intersection of people, technology, and information, the College of Information's faculty, staff and students invest in innovative research, collaborative partnerships, and student-centered education to serve a global information society. The college offers programs of study in information science, learning technologies, and linguistics.

Contact Us

What

Descriptive information to help identify this text. Follow the links below to find similar items on the Digital Library.

Degree Information

Description

Data management plan for the grant, "Distributed Learning for Undergraduate Programs in Data Science at Diverse Universities." Here, we propose to expand on our previous NSF-supported work in developing a suite of courses in data science (DS) that were taught across a network of 4 undergraduate institutions in a distributed learning (DL) format. The current proposal seeks to expand the size and diversity of our network while adapting the advanced distributed learning (ADL) technology of the U.S. military to an academic setting to harness the power of AI in tailoring optimal learning experiences for individual students.

Language

Item Type

Identifier

Unique identifying numbers for this text in the Digital Library or other systems.

  • Grant Number: 2142327
  • Grant Number: GN21-0646
  • Grant Number: GAWD000144
  • Archival Resource Key: ark:/67531/metadc2006526

Collections

This text is part of the following collection of related materials.

UNT Funded Research Projects

Records for grants awarded to researchers at the University of North Texas. These records establish unique identifiers that are publicly accessible for these research projects. In most cases, the data management plan for the project has been deposited with the item. Each record has a link to a full bibliography of the research output including data and publications.

What responsibilities do I have when using this text?

When

Dates and time periods associated with this text.

Creation Date

  • 2022-10-01/2025-09-30

Added to The UNT Digital Library

  • Oct. 18, 2022, 2:52 p.m.

Description Last Updated

  • Sept. 20, 2023, 1:09 p.m.

Usage Statistics

When was this text last used?

Yesterday: 0
Past 30 days: 1
Total Uses: 22

Interact With This Text

Here are some suggestions for what to do next.

Start Reading

PDF Version Also Available for Download.

International Image Interoperability Framework

IIF Logo

We support the IIIF Presentation API

Spector, J. Michael. Distributed Learning for Undergraduate Programs in Data Science at Diverse Universities, text, 2022-10-01/2025-09-30; (https://digital.library.unt.edu/ark:/67531/metadc2006526/: accessed February 25, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Information.

Back to Top of Screen