WOrk Products

from Participants and Students

Work products showcase publications, articles, and presentations over the course of RET DATA3

K-12 Teachers and Data Science Research Experiences

This publication discusses the aims to improve teacher data fluency and professional development by integrating topics like solar weather, AI, and computer science into interdisciplinary research experiences.

The program structure includes a summer experience with a STEM camp and subsequent academic professional development

Interpretable Deep Learning for Solar Flare Prediction

This publication proposes the incorporation of three interpretable methods into an existing deep learning model, called SolarFlareNet, which is used for operational solar flare forecasting

STEM Research and Workforce Capabilities

This article focuses on the importance in K-12 computer science teacher education to boost STEM research and workforce capabilities.

Dr. Herbert highlights critical issues in the current educational landscape, including accessibility challenges, workforce gap, and outdated pedagogy

AI in Deep Learning-Based Prediction of Solar Storms

This paper outlines the study on incorporating Explainable AI (XAI) into a deep learning model, specifically a Long Short-Term (LSTM) network with an attention mechanism, to predict solar storms.

The model's goal is to determine if a solar active region that produces a flare within 24 hours will also generate an associated Coronal Mass Ejection (CME)

Preparing K-8 Teachers to Teach and Infuse Computer Science Across Subjects

This publication at Montclair State University (MSU) is focused on developing instructional resources to help K-8 teachers integrate computer science into their classrooms.

Because technology rapidly changes, there is a growing need to prepare a "technology-driven workforce" by ensuring students are computationally literate

Educated Guess: Unplugged/Hybrid Neural Networks Activities for K-12 Students

This product describes the research-based presentation for the ASCD Annual Conference, 2025. The project focuses on helping students, particularly those in middle school (grades 6-8), build the capacity and resilience needed to understand complex Artificial Intelligence (AI) concepts like neural networks

RET Work Products

All publications, works cited, and presentations are listed in this document!