№ files_lp_4_process_3_133007
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Administrative syllabus template and policy reference outlining required course information, institutional rules, grading standards, technical requirements, and guidance on generative AI use for courses within the University of Virginia School of Continuing and Professional Studies.
Document Type:
Template
Subject Area:
Higher Education Course Administration
Institution:
University of Virginia School of Continuing and Professional Studies
Organization:
University of Virginia
Purpose:
Course syllabus structure and policy reference
Topics Covered:
Course information, learning outcomes, assessments, grading policies, attendance, academic integrity, generative AI use
Associated Systems:
SIS, Canvas, Zoom
Technical Requirements:
Computer hardware specifications and network connectivity requirements for course participation
Grading System:
Letter grade scale A+ to F with S/U and AU designations
Policy Coverage:
Attendance policy, class recording policy, university email policy, academic honor system, accessibility accommodations, refund policy
Audience:
Instructors preparing course syllabi within SCPS programs
Educational Level:
Undergraduate and Graduate courses
Instruction Modes:
Classroom and internet/web-based delivery
Supporting Services:
ITS Help Desk, Student Disability Access Center (SDAC), UVA Honor Committee
Price: 8 / 10 USD
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2021
Note:
Region / City
Subject:
Research project summaries
Document Type:
Template
Organization / Institution:
EURAMET
Target Audience:
Researchers, project coordinators, funders
Approval Date:
2021-07-23
Document:
P-CON-TMP-102
Version:
3.1
Description:
A template for reporting publishable summaries of SIPs, JNPs, and SCPs, including key project details, outcomes, and impact.
Year:
2024
Region / city:
Northwestern University, USA
Theme:
Library technology, Artificial Intelligence, Digital Collections
Document Type:
Research paper
Organization / Institution:
Northwestern University Libraries
Author:
David Schober, Brendan Quinn, Carolyn Caizzi
Target Audience:
Scholars, librarians, researchers, developers
Period of validity:
Summer 2024
Approval date:
May 2024
Date of changes:
Not specified
Year:
2024
Region / City:
Calvert County
Theme:
Generative AI, Policy, Data Security
Document Type:
Policy
Organization:
Calvert County Government
Author:
County Administrator
Target Audience:
All Calvert County Government Employees
Period of validity:
Indefinite
Approval Date:
02/24/2024
Date of Revisions:
As needed
Note:
Year
Theme:
Generative AI in Education
Document Type:
Cookbook
Organization / Institution:
University of Florida (UFIT)
Authors:
Chris Sharp, Leslie Mojeiko
Target Audience:
Educators, Faculty, Staff, Students
Note:
Year
Topic:
Use of generative AI in education
Document Type:
Policy/Guidelines
Institution:
Saint Louis University
Target Audience:
Students
Year:
2025
Region / City:
Bangor
Subject:
Academic Integrity, Artificial Intelligence, Assessment
Document Type:
Guidance Document
Organization / Institution:
Bangor University
Author:
Bangor University
Target Audience:
University Faculty, Students
Period of Validity:
Effective from 1st September 2025
Approval Date:
2025
Review Date:
January 2026
Review Frequency:
Annual
Year:
2023
Region / City:
Victoria
Topic:
Generative AI in public sector
Document Type:
Guidance
Agency / Institution:
Office of the Victorian Information Commissioner (OVIC)
Author:
Office of the Victorian Information Commissioner
Target Audience:
Victorian public sector organisations
Effective Period:
Ongoing
Approval Date:
Not specified
Amendment Date:
Not specified
Year:
2024
Region / city:
Uppsala
Topic:
Generative AI in Education
Document type:
Guideline
Institution:
Uppsala University
Author:
Vice-Chancellor
Target audience:
Teaching staff, students, including doctoral students
Period of validity:
Ongoing
Approval date:
26 November 2024
Date of changes:
N/A
Note:
Context
Year:
2026
Region / City:
Global
Topic:
Artificial Intelligence, Company Policies
Document Type:
Guide
Organization:
Your Company
Author:
Your Company
Target Audience:
Employees of Your Company
Effective Period:
Ongoing
Approval Date:
2026-02-07
Modification Date:
Not specified
Note:
Contextual Description
Year:
2023
Region / City:
Global
Subject:
Generative AI, IT Policy, Corporate Guidelines
Document Type:
Policy
Organization:
Company Name
Author:
Not specified
Target Audience:
Company staff, contractors, network users
Effective Period:
Ongoing
Approval Date:
Not specified
Amendment Date:
Not specified
Year:
2023
Region / City:
United States
Subject:
Generative AI, entertainment industry, performer labor
Document Type:
Article
Organization / Institution:
Not specified
Author:
Sarah Thomas
Target Audience:
Entertainment industry professionals, academics, AI researchers
Period of Validity:
Not specified
Approval Date:
Not specified
Modification Date:
Not specified
Authors:
Noman Bashir; Priya Donti; James Cuff; Sydney Sroka; Marija Ilic; Vivienne Sze; Christina Delimitrou; Elsa Olivetti
Language:
English
Thematic area:
Climate change; sustainability; artificial intelligence
Subject:
Environmental and social impacts of generative artificial intelligence
Type of document:
Analytical report
Focus:
Energy demand; carbon footprint; data centers; resource use
Key concepts:
Generative AI; computing efficiency; benefit–cost analysis; regulation; stakeholders
Geographic scope:
Global
Timeframe discussed:
2010–2026
Institutional context:
Academic and policy-oriented research
Audience:
Researchers; policymakers; industry stakeholders; civil society
Note:
Year
Date:
July 20, 2023
Full Project Title:
The Lived Experience of Generative Artificial Intelligence in Assessment in Higher Education
Reference Number:
HAE-23-057
Principal Researcher:
Professor Helen Partridge
Associate Researchers:
Professor Phillip Dawson, Associate Professor Kelli Nicola-Richmond
Participants:
Deakin University undergraduate and postgraduate students aged 18 and over
Methods:
Interview (online or via phone, 45 minutes–1 hour, recorded and transcribed)
Confidentiality:
Responses de-identified; researchers will not know participant identities
Funding:
Internal Deakin University research funds
Data Storage:
Password-protected computers of Deakin University, stored for five years
Withdrawal Policy:
Participants may withdraw at any time before data analysis begins
Compensation:
$30 gift voucher for interview participants
Ethics Oversight:
Human Research Ethics Office, Deakin University
Year:
2023
Region / City:
Vancouver, Burnaby, British Columbia
Topic:
Educational Technology, Accessibility
Document Type:
Transcript
Institution:
British Columbia Institute of Technology (BCIT)
Author:
Ian Linkletter
Target Audience:
Educators, Technologists, Accessibility Advocates
Period of Use:
November 2023
Date of Approval:
November 10, 2023
Date of Changes:
Not specified
Year:
2023
Region / City:
Global
Topic:
Artificial Intelligence, Policy, Ethics, Compliance
Document Type:
Policy
Organization:
Bank Name
Author:
Bank Name
Target Audience:
Bank employees, officers, board members, contractors
Effective Period:
Not specified
Approval Date:
Not specified
Amendment Date:
Not specified