Ada's Kids: AI Integration Action Plan
Welcome to our comprehensive plan for integrating Ada, an AI-powered learning assistant, into Roedy's Institute for Applied Technology. This presentation outlines our implementation strategy for introducing Ada to approximately 200 college-aged students (18-24) across your tablet-based classrooms.
Ada has been specifically designed to enhance learning experiences in your key programs: Energy and Environmental Technology, Oil and Gas Operations, Renewable Energy Systems, and Engineering Tech with English Language Foundations. Our phased approach ensures smooth adoption by both faculty and students, with careful consideration for technical, cultural, and pedagogical integration.

by Ryan Buchanan

Phase 1: Awareness & Introduction
Our first phase focuses on introducing Ada as a friendly, voice-enabled AI mentor that students can access directly from their tablets. We'll begin with a student-ready web and mobile demonstration by June 1st, presenting this live to instructors and program directors.
Launch Demo
Deploy student-ready web & mobile demo with Arabic/English language toggle by June 1st
Faculty Demonstration
Present live functionality to instructors and program directors
Localize Interface
Implement seamless Arabic/English language switching
Initial Training
Train a small pilot group of instructors on basic functionality and integration
This groundwork phase ensures that faculty members understand Ada's capabilities before we begin classroom implementation. Special attention will be given to the bilingual interface, allowing seamless switching between Arabic and English to accommodate diverse learning preferences.
Phase 2: Instructor Training & Classroom Pilot
After establishing awareness, we'll move to equipping teachers with the skills and resources needed to integrate Ada into their daily instruction. This phase focuses on practical application and creating a supportive community of early adopters.
Onboarding Sessions
Conduct interactive workshops for teachers to practice with Ada
Resource Distribution
Provide comprehensive guides and classroom scripts
Classroom Integration
Assign Ada to support quiz prep, writing prompts, and concept explanation
Feedback Collection
Track engagement metrics and gather qualitative feedback
Throughout this phase, we'll work closely with instructors to identify subject-specific applications for Ada in energy technologies, engineering, and language instruction. Our goal is to make Ada feel like a natural extension of the classroom, not an added burden or distraction.
Phase 3: Student Engagement & Personalization
With instructors prepared, we'll shift focus to fostering meaningful student engagement with Ada. This phase emphasizes building trust and creating personalized learning experiences through regular interaction.
Daily Check-ins
Enable personalized greetings and custom prompts from Ada that encourage regular interaction. Students can establish a learning routine with their AI assistant that complements classroom instruction.
Pattern Tracking
Begin light analytics on topics students revisit most frequently, identifying knowledge gaps and areas of interest. This data helps refine Ada's responses without compromising student privacy.
Context Adaptation
Adjust Ada's behavior model based on specific classroom contexts, ensuring relevant responses for engineering, energy, or language learning scenarios.
Trust Building
Establish Ada as a judgment-free learning companion that offers help and encouragement without evaluation pressure or grade implications.
By focusing on the student experience, we aim to transform Ada from a novel technology into an essential learning tool. The personalization aspects are carefully designed to respect privacy while still providing meaningful learning insights.
Phase 4: AI-Guided Career Exploration
The final implementation phase leverages Ada's capabilities to help students explore career pathways in energy and technology sectors. This connects classroom learning to real-world applications and future employment opportunities.
Launch Career Mode
Introduce specialized functionality in Ada that allows students to explore professional paths in solar engineering, petroleum logistics, desalination technology, and other relevant fields.
Interest Analysis
Analyze patterns in student queries and interactions to identify natural strengths and interests, creating a profile of potential career matches without formal assessment.
Personalized Suggestions
Provide AI-generated career path recommendations that align with both student curiosity and regional industry needs, especially in renewable and traditional energy sectors.
Advisor Reporting
Create exportable summaries of student interaction patterns for academic advisors, enabling more informed career guidance conversations without compromising privacy.
This career-focused application helps students see the practical value of their current studies while encouraging exploration of emerging fields in energy technology, creating a bridge between academic learning and professional aspirations.
Core Value: Train-the-Trainer Approach
The foundation of our implementation strategy rests on empowering your faculty with both tools and skills. Technology alone cannot transform education – it requires knowledgeable champions who understand its potential and limitations.
Ongoing Professional Development
Regular workshops and refresher courses to keep faculty skills current as Ada evolves
Community of Practice
Facilitated sharing of successful AI integration strategies among instructors across departments
Customization Support
Technical assistance for instructors to tailor Ada to specific course needs
Implementation Coaching
One-on-one mentoring for instructors to overcome challenges and optimize classroom integration
By investing in faculty expertise, Ada's Kids ensures sustainable adoption that extends beyond initial implementation. Our goal is to develop internal champions who can drive continued innovation in AI-enhanced learning across all programs at Roedy's Institute for Applied Technology.
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