Consulting
GSE IT can serve as a first point of contact for faculty, graduate students, and research staff, working to understand scholars’ research needs and facilitate their access to the computing resources that best support their research.
Our team has expertise in academic technology, cloud computing (AWS/GCP), machine learning, high-performance computing (HPC), analytical environments, and software stacks/tools used by GSE researchers.
Contact us for more information
Infrastructure
GSE's research computing infrastructure includes on-premise and cloud solutions for our researchers. One key focus is our team's ability to architect a custom compute environment unique to the GSE researchers requirements with cost-efficient value. Some offerings include:
- GSE Secure Data Room
- Physical computer lab with data analysis software packages
- Virtual lab 24x7 worldwide access to compute and data analysis software packages
- Stanford's Sherlock cluster for high performance computing
- University IT's Cloud Account Management for cloud compute
- Stanford Research Computing Center's Nero instance for high risk data
Workshops and Training for Research Tools
GSE IT cultivates training resources for the GSE community, including hosting various workshops. Additional resources can be found at:
- Stanford's LinkedIn Learning offering
- Stanford's Coursera offering
- University IT's Tech Training workshops
- Stanford's Center for Interdisciplinary Digital Research workshops
Accelerator Studio
Through the Stanford Accelerator for Learning, GSE IT provides support services for Accelerator faculty and faculty seed grantees to aid their research. This is implemented through the Accelerator Studio, a new service model that provides extensive support services to help guide the design of effective, scalable solutions anchored in the rapidly growing research from the learning sciences.
GSE IT provides technology support, including ideation, storyboarding, prototyping, interface design, instructional design, app development and testing, cloud services, and media production. Some examples of our previous work include:
- Child Learning Assessment: This iPad app collects data about second and third graders’ math and reading ability. Over the course of ten experimental trials, users receive instructions and practice training, and are provided feedback about their performance. The app records users’ reaction time and accuracy on each trial, and unique information about each trial such as stimulus displayed and condition it belonged to.
- Child Emotion and Performance Assessment: This tablet app is used to assess a child in the areas of inhibitory control, cognitive flexibility, working memory, delay of gratification, frustration tolerance, persistence and challenge preference. The app assesses these things in children using fives tasks adapted from well-validated laboratory assessments. These tasks are designed and developed to be appropriate and sensitive to individual differences across K-5 grades and via customizable difficulty settings.
