GRACE Educational Platform

(Gamified Application + Interactive Website)

An interactive educational platform combining Artificial Intelligence, Extended Reality, and accessibility to prepare learners for the future of sustainable agriculture.

Funding Information:

GRACE — Reimagining Controlled Environment Agriculture in a Low Carbon World — is supported by the U.S. Department of Agriculture through the National Institute of Food and Agriculture (USDA-NIFA).
Grant No. 2023-68012-38994

Collaboration and Implementation:

NSF-funded RET Site project, “Project-Based Learning for Rural Alabama STEM Middle School Teachers in AI, ML, and Robotics,” supported by the National Science Foundation (NSF). (2026-2029)
Award No. 2601585

Students

Teachers

Researchers

Industry Professionals

GRACE Platform

Gamified and intelligent application

Interactive Website

Explore Our Learning Platform

Immersive Learning

Extended Reality

Intelligent System

Artificial Intelligence in Agriculture

Accessible Agricultural Education

Accessible Tools

Greenhouse plants for immersive agricultural learning
Virtual Greenhouse & XR Learning

Explore virtual greenhouses and interactive Augmented and Virtual Reality activities to practice agricultural concepts in immersive, simulated environments.

Healthy green plants representing plant growth
AI-Powered Plant Growth Prediction

Apply AI, Machine Learning, and Explainable AI to explore plant growth, analyze environmental conditions, and understand data-driven agricultural recommendations while optimizing limited resources, reducing waste, and lowering operational costs.

Computer workstation representing digital learning tools
Web-Based Learning Platform

Access educational resources, interactive assessments, learner progress tracking, and reporting tools for students, educators, and administrators.

Hands-on plant cultivation and agricultural education
Gamified STEM & CEA Education

Learn plant biology, crop growth, irrigation, hydroponics, nutrient management, and pest identification through structured, step-by-step learning activities.

Agricultural growing environment for sustainable farming
Workforce Development & Accessibility

Support learners, college learners, educators, and workforce trainees in building practical skills for modern and sustainable Controlled Environment Agriculture.

Globally accessible agricultural education platform
Global Access to Inclusive Learning

Provide location-independent access to AI-powered agricultural education worldwide, reaching learners in underserved and economically distressed areas regardless of their geographic location.

Our Impact at a Glance

00

Schools Reached

Bringing innovative agricultural learning experiences to schools and educational communities.

000

Downloads

Supporting access to engaging educational resources and interactive learning experiences.

Why GRACE?

Helping learners succeed, empowering teachers, and supporting administrators with actionable educational insights.

1

Individual Learner Reports

Challenge: Teachers may have difficulty identifying each learner's specific strengths, learning difficulties, and need for additional support.

How GRACE helps: Individual progress reports help teachers identify which learners are progressing well and which may need additional explanations, practice, or alternative learning activities. Learners can better understand their own progress and areas for improvement, while teachers can provide more personalized and timely support.

Module Progress Reports

Challenge: Teachers need to know whether learners are understanding the content of individual educational modules or struggling with particular topics.

How GRACE helps: Module-specific reports show learner progress within each learning module, helping teachers identify topics that may require additional instruction or practice. Learners can recognize which modules need more attention, and teachers can evaluate whether learning activities are supporting the intended educational objectives.

2
3

Compare Learners and Identify Learning Gaps

Challenge: Reviewing learners individually does not always reveal common learning difficulties or differences in progress across a class.

How GRACE helps: Reports comparing learners within the same module help teachers identify topics where multiple learners may be struggling and recognize differences in learning progress. Teachers can use these insights to adjust lesson plans, organize additional practice, and provide targeted assistance. Administrators can also use aggregated patterns to identify broader instructional support needs.

School-Level Progress Tracking

Challenge: School administrators need a broader view of educational progress across learners and modules to understand where instructional support and resources may be needed.

How GRACE helps: School-level reports consolidate progress information across modules and learners, helping administrators identify recurring learning gaps, review educational performance, and determine where additional training, instructional support, or learning resources may be beneficial. These insights can support more informed school improvement planning and resource allocation.

4
5

Data-Informed Educational Improvement

Challenge: Without a comprehensive understanding of educational progress, schools and education leaders may find it difficult to prioritize interventions, allocate resources effectively, and address persistent learning gaps.

How GRACE helps: By bringing together individual, module-level, and school-level insights, GRACE can help teachers improve instruction, learners identify areas for improvement, and administrators make better-informed educational planning decisions. Across participating educational settings, these capabilities have the potential to support more effective agricultural education, strengthen workforce preparation, and contribute to long-term regional educational and economic development.

Our Research Team Members

Daniela Marghitu
Daniela Marghitu

Auburn University Faculty Member

Principal Investigator (PI) of the Computer Science Team for the GRACE Project

marghda@auburn.edu
Maryam Bigonah
Maryam Bigonah

Ph.D. Candidate

Software Lead & Core Developer

mzb0197@auburn.edu
Aparana Pant
Aparana Pant

Auburn University Alumni

Software Development

azp0200@auburn.edu
Sasikiran Reddy Nallapareddy
Sasikiran Reddy Nallapareddy

Ph.D. Student

Software and AI Development

szm0085@auburn.edu
Sidharth Suresh Gautam
Sidharth Suresh Gautam

Ph.D. Student

Software and AI Development

szg0149@auburn.edu