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Project Outcomes

Displaying 326 - 330 of 333

Lecture and Instructional Faculty Tool (LIFT): An Innovative AI-Powered Solution for Higher Education.

Renata Kochut

Empire State College

2025

Type of GrantIITG

Amount of Award:$15,000.00

Project Summary:

LIFT (Lecture and Instructional Faculty Tool) is an AI-powered platform that helps faculty efficiently develop accessible, multimodal instructional materials and assessments to enhance teaching, learning, and student engagement across SUNY institutions.

Project Outcome:

https://lifttool.online/,

Metaliteracy and AI: A Framework for Ethical Integration Across the Curriculum

Nicola Allain

Empire State College

2025

Type of GrantIITG

Amount of Award:$40,000.00

Project Summary:

This project develops an open educational framework integrating AI literacy with metaliteracy, equipping students and faculty with ethical, critical, and creative engagement strategies for AI adoption across disciplines.

OER Microcredential in Sustainable Engineering Leadership

Robert Kidd

Maritime

2025

Type of GrantOER

Amount of Award:$26,623.00

  • Open Educational Resources (OER)

Project Summary:

This effort seeks to transition an emerging microcredential in Sustainable Engineering Leadership into a zero-cost microcredential through the implementation or generation of OER works.

Playful Narratives / Playing with Stories: An OER Textbook for Creative Writing

Shelly Jones

Delhi

2025

Type of GrantOER

Amount of Award:$16,954.00

  • Open Educational Resources (OER)

Project Summary:

Playful Narratives / Playing with Stories will provide students and faculty with an interactive, gamified OER textbook for an Introduction to Creative Writing course.

Real-world Circuit Design Optimization and Analysis using AI tools-OER

Paulo Castillo

Farmingdale

2025

Type of GrantOER

Amount of Award:$15,000.00

  • Open Educational Resources (OER)

Project Summary:

We develop a new set of laboratory modules that incorporates AI tools to help students design, build and test functional circuits and systems, by better simulating real-world conditions. Students will learn the fundamentals of combining AI with theoretical and experimental methods that will prepare them for increasingly competitive, AI-focused engineering job market.

Project Outcome:

Publication in progress at https://dspace.sunyconnect.suny.edu/home