Page 643 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

By anonymizing interactions and employing culturally sensitive AI tutors with voice-based
interfaces, the platform counters gender biases in STEM education. It fosters confidence and
engagement among women and girls, addressing UNESCO-reported underrepresentation
(<30% of global researchers) and societal barriers. Equal access to hands-on learning 4.7: Education
opportunities promotes empowerment and parity in STEM fields.
The system integrates AI and NLP to innovate education delivery, simulating advanced lab
tools (e.g., oscilloscopes) at minimal cost through platforms like Unity/Unreal Engine. Its offline
compatibility ensures accessibility in low-connectivity regions, reducing reliance on expensive
infrastructure while accelerating adoption of scalable, AI-driven Education Tech solutions.

The virtual lab democratizes electronics education by removing geographic and socioeconomic
barriers. Support for non-English languages and low-resource settings ensures marginalized
groups—including rural, low-income, and female students—gain equitable access to practical
training, leveling opportunities for participation in STEM-driven economies.

2�3 Future Work

The development of the AI-Driven Virtual Instructor for 3D Virtual Electronics Lab will progress
through a structured, multi-phase roadmap to transition the concept from prototype to a
scalable, impactful educational tool. Initial efforts will focus on constructing a proof-of-concept
prototype, integrating foundational 3D circuit simulations with voice recognition to validate
the AI instructor’s feasibility in guiding students through basic electronics experiments.
Concurrently, advanced AI capabilities will be developed, including multilingual natural
language processing (NLP) for Amharic and English, adaptive feedback mechanisms, and
machine learning models trained to evaluate circuit performance in real time. A robust 3D
simulation engine, built using platforms such as Unity or Unreal Engine, will be engineered to
replicate realistic electronics experiments, ensuring seamless interoperability with AI-driven
guidance and assessment systems.

To maximize accessibility, user experience (UX) design will prioritize intuitive interfaces tailored
to students in resource-constrained regions, while localization efforts will expand language
support to additional Ethiopian working languages. Strategic collaboration with institutions
like the O-SKILLS Technical Education and Training Center will ensure curriculum alignment
with national and global STEM standards. Scalability will be addressed through cloud-based
deployment, enabling high-concurrency access across diverse devices and minimizing
hardware dependencies.

The AI’s assessment framework will be refined to deliver personalized feedback and
evaluate circuit accuracy, supported by continuous model training to enhance pedagogical
effectiveness. Pilot testing in rural and underserved schools will quantify the system’s impact on
STEM proficiency, with iterative improvements informed by real-world data. Upon successful
validation, the platform’s scope will broaden to encompass physics and electrical courses,
establishing a comprehensive virtual STEM ecosystem.

3 Use Case Requirements

• REQ-01: Real-Time Circuit Evaluation Using GNNs
• The system must utilize Graph Neural Networks (GNNs) to analyze and validate circuit
connections in real-time, ensuring accuracy of student designs within the 3D lab.

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