AI for Education and Personalized Learning Training Course

Module 1: Foundations of AI in the Educational Sector

• Evolution of Educational Technology: From E-learning to AI-driven classrooms
• Defining the AIEd ecosystem: Machine Learning, NLP, and Robotics in education
• Identifying the ROI of AI in schools: Teacher time-savings vs. student gain
• Mapping the student journey to identify high-impact AI touchpoints
• Introduction to the EdTech AI stack: LMS integration and cloud platforms
• Practical session: Analyzing a current curriculum to identify opportunities for AI integration

Module 2: Generative AI for Content Creation and Lesson Planning

• Prompt engineering for educators: Designing high-quality instructional prompts
• Automated generation of lesson plans, rubrics, and educational worksheets
• Using AI to create multimodal content: Text-to-speech, video, and imagery for learning
• Curating and validating AI-generated educational resources for accuracy
• Strategies for overcoming "AI hallucinations" in subject-matter content
• Practical session: Using a Large Language Model to develop a 5-day unit plan with differentiated activities

Module 3: Adaptive Learning Systems and Personalized Pathways

• Understanding the mechanics of adaptive engines: Knowledge space theory
• Designing branching scenarios that adjust to student mastery levels
• Integrating real-time formative assessment into personalized learning flows
• Strategies for scaffolding: How AI identifies and fills specific learning gaps
• Balancing student agency with AI-guided instructional sequences
• Practical session: Setting up an adaptive learning pathway using a sample EdTech platform

Module 4: Learning Analytics and Predictive Student Modeling

• Identifying Key Performance Indicators (KPIs) in digital learning environments
• Building early-warning systems to identify at-risk students based on engagement data
• Visualizing student progress: Designing effective dashboards for teachers and parents
• Analyzing social learning patterns and collaborative data through AI
• Using predictive modeling to forecast graduation rates and exam performance
• Practical session: Building a predictive dashboard using a student interaction dataset

Module 5: Automated Assessment and Feedback Systems

• Automated Essay Scoring (AES): Capabilities, limitations, and best practices
• Designing AI-driven quizzes that provide instant, personalized feedback to learners
• Using NLP to analyze short-answer responses and conceptual understanding
• Peer-assessment moderation: Using AI to ensure consistency in student grading
• Reducing teacher workload through automated feedback loops for repetitive tasks
• Practical session: Configuring an automated feedback system for a writing assignment

Module 6: Intelligent Tutoring Systems (ITS) and Virtual Mentors

• The architecture of an ITS: Domain model, student model, and pedagogical model
• Designing AI chatbots as 24/7 study assistants and homework helpers
• Developing "Socratic" AI mentors that guide students rather than giving answers
• Integrating emotional AI to detect and respond to student frustration or boredom
• Case studies of high-impact virtual tutoring in mathematics and language learning
• Practical session: Designing the conversation flow for a subject-specific virtual tutor

Module 7: AI for Accessibility and Inclusive Education

• Real-time speech-to-text and translation for English Language Learners (ELL)
• AI-driven tools for students with dyslexia, dysgraphia, and visual impairments
• Personalizing content complexity: Using AI to simplify text for various reading levels
• Creating inclusive imagery and examples using generative AI to reflect diversity
• Automated closed-captioning and sign-language synthesis for video content
• Practical session: Adapting a standard lesson plan into three accessible formats using AI tools

Module 8: Ethical AI, Data Privacy, and Academic Integrity

• Navigating FERPA, GDPR, and COPPA in the age of classroom AI
• Identifying and mitigating algorithmic bias in student evaluation and placement
• Addressing the "Plagiarism" debate: Redefining academic honesty in an AI world
• Transparency and Explainable AI: Helping students understand how AI makes decisions
• Developing a classroom "AI Policy" for students and staff
• Practical session: Conducting an ethical audit on a proposed educational AI tool

Module 9: Gamification and Immersive Learning with AI

• Using AI to generate dynamic quests and narratives in educational games
• Integrating AI with Virtual and Augmented Reality (VR/AR) for immersive simulations
• Personalized game mechanics: Adjusting difficulty levels based on player performance
• Developing "Non-Player Characters" (NPCs) that act as intelligent guides in virtual worlds
• Measuring the pedagogical impact of AI-enhanced gamified learning
• Practical session: Designing a gamified learning scenario with AI-generated quest lines

Module 10: Building an AI Implementation Roadmap for Schools

• Strategies for teacher professional development and "Change Management"
• Selecting the right AI vendors and tools: A technical and pedagogical checklist
• Pilot testing AI initiatives: Measuring success and scaling effectively
• Communicating AI initiatives to parents, school boards, and stakeholders
• Future trends: The shift from "One-to-Many" to "One-to-One" education
• Practical session: Creating a comprehensive 12-month AI adoption roadmap for your institution

Requirements:

• Participants should be reasonably proficient in English.
• Applicants must live up to Armstrong Global Institute admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.

4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@armstrongglobalinstitute.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254725012095 / +254724452588

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Armstrong Global Training & Development Center Limited should be paid in advance, 5 days to the training.

2. Invoice: We can send a bill directly to you or your company.

3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

2. Participants may cancel attendance 14 days or more prior to the training commencement date.

3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor Made Courses

This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location. For further inquiries, please contact us on Tel: +254720272325 / +254725012095 / +254724452588 or Email training@armstrongglobalinstitute.com

Accommodation and Airport Transfer

Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@armstrongglobalinstitute.com or on Tel: +254720272325 / +254725012095 / +254724452588