NASA selects University of Delaware’s CubeSat spacecraft for upcoming mission

Apr 19, 2024

2 min


It’s safe to say that not many students expect to lead a NASA-supported mission during their undergraduate studies. But at least a dozen from the University of Delaware will have done that by the time they collect their diplomas in the next few years.


All are part of a team creating Delaware’s first orbital spacecraft, which was selected by NASA for launch in 2026 as part of its CubeSat Launch Initiative. The NASA program, which started in 2011, aims to give students an opportunity to be part of real missions and gain extraordinary experience in what it takes to do space research.


CubeSats are small, modular, inexpensive satellites that carry experiments for science investigations and/or technology demonstrations. About 160 CubeSats have been launched in the NASA program over the years, many deployed from the International Space Station (ISS).


Delaware’s mission — the Delaware Atmospheric Plasma Probe Experiment (DAPPEr) — will launch its CubeSat spacecraft from the ISS and orbit independently through Earth’s upper atmosphere.



The CubeSat will be about the size of a loaf of bread, according to the team’s faculty mentor, Bennett Maruca, associate professor of physics and astronomy. It will gather data about the density and temperature of electrons in Earth’s upper atmosphere, recording changes observed at different latitudes and times of day. This data will inform future research on how the sun affects conditions there.


Understanding the sun’s interaction with the Earth’s atmosphere is critical to development of satellite communications networks, global positioning systems (GPS) and national security.


But the real objective is educational, Maruca said. The students are the “deliverables.” They’ll emerge from this work with an insider’s view of what it’s like to develop and work on a NASA mission.


To arrange an interview with Maruca, contact UD's media relations team at mediarelations@udel.edu.

Powered by

You might also like...

Check out some other posts from University of Delaware

3 min

Rethinking AI in the classroom: A literacy-first approach to generative technology

As schools nationwide navigate the rapid rise of generative artificial intelligence, educators are searching for guidance that goes beyond fear, hype or quick fixes. Rachel Karchmer-Klein, associate professor of literacy education at the University of Delaware, is helping lead that conversation. Her latest book, Putting AI to Work in Disciplinary Literacy: Shifting Mindsets and Guiding Classroom Instruction, offers research-based strategies for integrating AI into secondary classrooms without sacrificing critical thinking or deep learning. Here is how she is approaching the complex topic.  Q: Your new book focuses on AI in disciplinary literacy. What is the central message? Karchmer-Klein: Rather than positioning AI as a shortcut or replacement for student thinking, the book emphasizes a literacy-first approach that helps students critically evaluate, interrogate, and apply AI-generated information. This is important because schools and universities are grappling with rapid AI adoption, often without clear guidance grounded in learning theory, literacy research, or classroom practice. Q: What inspired this research? Karchmer-Klein: The book grew directly out of my work with preservice teachers, practicing educators, and school leaders who were asking practical but complex questions about AI: How do we use it responsibly? How do we prevent over-reliance? How do we teach students to question what AI produces? I also saw a gap between public conversations about AI which often focused on fear or efficiency and what teachers actually need: research-informed strategies that support deep learning. My long-standing research in digital literacies provided a natural foundation for addressing these questions. Q: What are some of the key findings from your work? Karchmer-Klein: AI is most effective when it is embedded within strong instructional design and disciplinary literacy practices, not treated as a stand-alone tool. The research and classroom examples illustrate that AI can support student learning when it is used to prompt reasoning, reveal misconceptions, provide feedback for revision, and encourage multiple perspectives. Another important development is the emphasis on teaching students to evaluate AI outputs critically by recognizing bias, inaccuracies, and limitations, rather than assuming correctness. Q: How could this work impact schools, teacher education programs and the broader public? Karchmer-Klein: For educators, this work provides concrete, evidence-based literacy strategies coupled with AI in ways that strengthen, not dilute, student thinking. For teacher education programs and school districts, it offers a research-based framework for professional development and policy conversations around AI use. More broadly, the work speaks to a public concern about how emerging technologies are shaping learning, helping to reframe AI as something that requires human judgment, ethical consideration, and strong literacy skills to use well. ABOUT RACHEL KARCHMER-KLEIN Rachel Karchmer-Klein is an associate professor in the School of Education at the University of Delaware where she teaches courses in literacy and educational technology at the undergraduate, graduate, and doctoral levels. She is a former elementary classroom teacher and reading specialist. Her research investigates relationships among literacy skills, digital tools, and teacher preparation, with particular emphasis on technology-infused instructional design. To speak with Karchmer-Klein further about AI in literacy education, critical evaluation of AI-generated content and teacher preparation in the era of generative AI, reach out to MediaRelations@udel.edu.

2 min

How AI can improve poor leadership writing and boost productivity

Poor written communication from leaders can create the kind of confusion it intended to avoid. University of Delaware career expert Jill Gugino Panté suggests using AI to sharpen emails, clarify expectations and reduce unnecessary calls. Getting through to employees with strong messaging can boost productivity by saving time and reducing unwanted meetings, she says. Panté, director of UD's Lerner Career Services Center, says that good leadership writing should be direct and outcome-driven, with no fluff, and offered the following advice for improvement. ✅ Don’t bury the lead. Start with what decision needs to be made, what action is required, and the deadline. If your writing doesn’t reduce ambiguity, it’s going to add to it. Vague communication can create interpretation gaps which, in turn, can create more meetings. When ownership isn’t defined, decisions aren’t documented, or outcomes aren’t clear, teams default to “Let’s hop on a call.” Meetings then become the fallback for unclear thinking. ✅ Generative AI can be a powerful clarity tool if it’s used intentionally. When used well, it can sharpen your ask and structure communication for action. The key is prompting it to refine your message, not just polish it. Leaders can use prompts like: • “Rewrite this message so the action, owner, deadline, and success metrics are explicitly stated" • “What assumptions or ambiguities exist in this message?” ✅ Good writing can replace unnecessary meetings. If communication is not direct, outcome-driven, and structured for action, it will cost you time somewhere else. Here are some practical actions that leaders can make in their writing: • Start with the Ask - Be explicit about what decision or action is needed. Don’t make people search for it. • Define Outcomes - Clarify deliverables, timelines, budgets and state what success looks like. • Clarify Ownership - Identify who is responsible for the request. • Document Decisions - Write down what has been decided and reiterate next steps, owners, and deadlines. To connect with Panté directly and arrange an interview, visit her profile and click on the "contact" button. Interested media can also send an email to MediaRelations@udel.edu.

1 min

Epidemiologist: Winter Olympics fortunate to dodge norovirus outbreak

Finland's Olympic women's hockey team overcame a norovirus scare last week, but they couldn't get past Team USA, who shut them out 5-0 Saturday in Milan. The University of Delaware's Jennifer Horney can discuss the difficult-to-contain virus, which also hit the Winter Games in 2018. - Horney, a professor of epidemiology at UD, said that the outbreak –  which forced Finland to cancel its first game after 13 players had either been infected or quarantined – is not surprising. Norovirus spreads rapidly in crowded environments through direct contact with surfaces or airborne droplets. - It is difficult to limit the spread of norovirus, as witnessed by the major outbreak that spread at the 2018 Winter Olympics in South Korea. - Consideration is often given for the potential of these types of outbreaks being intentional, which requires public health to work closely with law enforcement. To reach Horney directly and arrange an interview, visit her profile and click on the "contact" button. Interested journalists can also send an email to MediaRelations@udel.edu.

View all posts