The Johns Hopkins Provost's Office has announced the five recipients of its 2023 Digital Education and Learning Technology Acceleration (DELTA) Awards, which offer grants of up to $75,000 to JHU researchers seeking to innovate learning through digital technology.
This year's winning proposals, picked from a pool of 15 submissions, will receive a total of more than $374,000. In the six years since its creation, the DELTA Awards program has distributed more than $2.2 million in funding, enhancing education both within and outside the university.
"I'm continually impressed by the creativity of Johns Hopkins faculty and staff," said Ira Gooding, Provost's Fellow for Digital Initiatives. "Innovative, high-quality teaching doesn't always call for the use of digital technology, but the use of digital technology undoubtedly requires both the courage to test novel approaches and an unwavering commitment to learner interests. Both qualities are amply displayed among this year's slate of projects. I'm eager to see them take shape in the months ahead, and I'm deeply grateful for university leadership's ongoing support of these grants and the annual DELTA Teaching Forum."
The proposals funded this year are:
More Intelligent Faculty Development: Using GenAI to Increase Value, Access, and Equity in Educator Programs
The investigators will test and evaluate different generative artificial intelligence (GenAI) systems to find opportunities to apply the technology to faculty development.
Collaborative Intelligence – AI as Co-Teacher / Tutor in the K-12 Classroom
In response to the rise of large language models like ChatGPT, the grantees will investigate what happens when K-12 students are taught how to ethically use AI tools to support their learning.
Fostering Digital Well-Being in Online Education at JHU
As online learning becomes more common, the investigators will create a professional development program that teaches instructors how to encourage digital well-being during their virtual courses.
From Random to Deliberate Practice for Radiology: High-Fidelity Simulation with Artificial Intelligence-Generated Feedback
This proposal is designed to meet the rising demands for radiology training by developing a high-fidelity simulation platform that gives students AI-generated feedback.
STEM for ALL: Bringing Research-Based Active Learning to STEM Courses at JHU and Beyond
The Science, Technology, Engineering, and Math for Active Learning Laboratories (STEM for ALL) investigators will create several resources to help instructors incorporate research-based active learning strategies into their STEM courses.
Grantees will share their projects and results at the 2024 Provost's DELTA Teaching Forum, to be held in May.