TechnoBerg Educator Development Program
Train the Educator. Transform the Classroom. Build the Future.
- Length
- 15 days
- Planned hours
- 45 hours
- Weekly schedule
- 15 training days, scheduled continuously, on alternate days, weekly or in another agreed pattern
- Level
- Foundation
- Delivery
- On-site practical, live virtual or blended practical + virtual; train-the-trainer and custom institutional cohorts are also available
- Location
- On-site at the school, or live virtual
- Next start
- To be confirmed
Overview
Every participant should leave with greater confidence, usable classroom activities, an implementation plan and a clear understanding of how technology can support, not replace, the teacher.
The TechnoBerg 15-Day Educator Development Programme is a structured professional-learning journey that helps educators understand emerging technologies and convert them into practical classroom experiences. It is designed for teachers with or without a technical background. The programme combines guided explanation, live demonstrations, educator practice, virtual tools, lesson-planning exercises and a final classroom implementation project. Participants do not merely observe technology; they learn how to explain it simply, facilitate safe activities, connect it with school subjects and support students at different ability levels.
Develops educators who can support clubs, labs, competitions, projects and academic programmes. Participants should gain foundation-level confidence and classroom-ready outputs; readiness for advanced technical delivery depends on prior level, practice, selected modules and continued support.
Who should join, and what to bring.
Who should join
- Classroom teachers: practical activities, lesson integration, AI-assisted preparation and student engagement.
- Computer / ICT teachers: structured pathways for coding, AI, robotics, virtual simulation and project work.
- Science and mathematics teachers: sensors, data, measurement, logic, experimentation and engineering connections.
- Language and humanities teachers: responsible AI, research, communication, creativity, presentation and critical evaluation.
- Academic coordinators, curriculum leaders and innovation teams: grade-wise planning, assessment alignment, timetable integration and quality monitoring.
- Principals and school leaders: implementation strategy, staff readiness, governance, resource planning and impact review.
- Lab and activity facilitators: equipment handling, safety, maintenance routines and guided practical delivery.
- New and aspiring educators, and new trainers preparing to support school AI and robotics programmes.
Recommended before you start
- No prior AI, robotics or coding expertise required.
- Recommended 15 to 25 participants for effective practical support.
- Training room with flexible seating, projection and reliable internet.
- One laptop per participant or pair, with a current browser and productivity tools.
By the end, you will be able to:
- Explain AI and generative AI accurately using age-appropriate examples.
- Apply verification, privacy, fairness, copyright and integrity checks.
- Use approved AI and digital tools to support preparation while retaining professional judgement.
- Explain sequence, logic, conditions, loops and debugging through simple activities.
- Describe and demonstrate controllers, sensors, motors, power and programming.
- Guide selected hands-on or virtual activities safely and confidently.
- Connect future-skills activities to subject and grade-level learning outcomes.
- Plan and supervise a student challenge from problem to presentation.
- Use practical rubrics, observation, portfolios and feedback.
- Deliver a microteaching session and prepare a realistic next-step plan for classroom, club, lab or school programme.
- Discover
- Practice
- Integrate
- Teach
- Transform
Use age-appropriate, supervised and low-voltage educational equipment, and explain safe handling, moving parts, batteries, cables and work-area rules. Follow school-approved accounts, devices, internet access and data-protection policies, and do not upload confidential student information to unapproved AI tools. Review AI-generated material for accuracy, bias, suitability and academic integrity. The teacher's judgement, safeguarding responsibility and instructional leadership are maintained.
Fifteen days, five stages.
Future-Ready Education
- Education transformation
- Educator role
- Learner needs
- Programme baseline and goals
AI Literacy for Educators
- What AI is and is not
- Daily applications
- Generative AI
- Limitations and human oversight
Effective & Responsible AI Use
- Prompting basics
- Verification
- Privacy, bias and copyright
- Integrity and age-appropriate use
AI for Teacher Productivity
- Lesson ideas
- Worksheets, rubrics and quizzes
- Differentiation
- Communication and review workflow
Coding & Computational Thinking
- Sequence, logic, loops and conditions
- Debugging
- Block-based classroom activities
Robotics Fundamentals
- Robot components
- Controllers, motors, sensors and power
- Input-process-output
Hands-on Robotics Practice
- Movement
- Obstacle response
- Line following or a selected educational robot challenge
Sensors, IoT & Automation
- Distance, light, motion or temperature sensing
- Smart classroom and smart home examples
Virtual Labs & Simulation
- Software-based robotics and circuit practice
- Safe experimentation
- Blended delivery
Project-Based STEM Learning
- Problem selection
- Design thinking
- Teamwork and prototypes
- Documentation and reflection
Curriculum & Subject Integration
- Map AI and robotics activities to grade, subject, outcome and timetable
Inclusive Classroom Facilitation
- Different ability levels
- Group roles and engagement
- Accessibility and differentiation
Assessment & Evidence of Learning
- Observation
- Practical rubrics and portfolios
- Quizzes, presentations and feedback
Microteaching & Peer Review
- Participant-led mini lesson or demo
- Structured feedback and improvement
Microteaching observation.
Capstone & School Action Plan
- Final project presentation
- Implementation roadmap
- Evaluation and next steps
Capstone action plan.
What you will work with, and what you will make.
Tools
- AI tools for planning, ideation, quizzes and differentiated resources
- Block-based coding and browser-based learning platforms
- Microcontroller and sensor kits
- Entry robotics kits and educational robots
- Sensors: obstacle, light, motion, distance and temperature
- Circuit and robot simulation software
The final set of tools is confirmed for each batch.
Example projects
- AI teaching studio: create and improve a lesson outline with AI; develop a quiz or rubric and verify its quality; rewrite content for different age or ability levels; practise responsible prompting and fact-checking
- Coding & logic lab: use block-based coding to build sequences and conditions; run an unplugged 'human robot' debugging activity; create a simple interactive story, quiz or control task
- Robotics & sensor lab: identify the brain, sensors, motors, power and structure of a robot; test selected sensors; run a guided movement or automation challenge; diagnose common connection, logic and instruction errors
- Teaching practice: convert a technical idea into a child-friendly explanation; facilitate a mini activity with peers acting as students; use questions, observation and feedback to check learning
- Reusable lesson plans, prompts, rubrics and implementation resources
The capstone: what you hand in
- Design one implementable lesson, club activity, mini project or school initiative.
- Present objectives, resources, safety, assessment and next steps.
- Team capstone, microteaching, peer review and an individual implementation plan.
Assessed on the work you produce.
- Participation & practical tasks20%Confirms active engagement and guided practice.
- Digital / AI activity portfolio20%Shows usable educator-created resources and reflection.
- Lesson or activity plan20%Demonstrates curriculum connection and classroom readiness.
- Microteaching20%Assesses explanation, facilitation, questioning and safety.
- Capstone action plan20%Demonstrates realistic implementation and next steps.
How it is taught
- Instructor-led concept sessions and live demonstrations.
- Hands-on guided practice with AI tools, coding, sensors and robotics.
- Individual and team challenges linked to school contexts.
- Lesson-design studio, peer review and trainer feedback.
- Explain simply: stories, familiar examples, visuals and comparisons before technical terminology.
- Demonstrate visibly: show input, processing and output so learners can observe cause and effect.
- Learn by doing: short guided tasks before open-ended challenges.
- Ask and investigate: prediction, testing, evidence and reflection.
- Work in teams: roles such as builder, coder, tester, recorder and presenter.
- Differentiate: adjust instructions, challenge depth, scaffolds and outputs for learner needs.
- Reflect and improve: treat mistakes as debugging opportunities and document what changed.
- Equivalent virtual activities may be used when a physical device is unavailable.
- Lead trainer plus assistant for larger practical cohorts.
Certificate of Participation (attendance and engagement), Certificate of Completion (attendance and completion of required tasks) or Certificate of Successful Completion (approved assessment criteria and capstone); a school or partner appreciation certificate where applicable. Certification is subject to the provider's approved attendance and assessment policy and any applicable regulatory conditions. Assessment components and weighting are a recommended model and may be adapted in the final school proposal.
Certificate wording and issuing details will follow the final TVTC approval. No accreditation is claimed before that approval.
Start dates and fees, on request.
Next start
To be announced
Enquire now and we will tell you the next start date and schedule.
Fees
Request fee details
We send the fee, and any options for paying, with your enquiry reply.
Questions people ask.
No. The programme begins at foundation level and uses guided, practical learning.
No. Activities and methods can support ICT, science, mathematics, languages, humanities and interdisciplinary learning.
Yes. It includes selected AI, coding, robotics, sensor, virtual-lab, lesson-design and microteaching tasks.
Yes. On-site, virtual and blended models are available, subject to the approved scope.
Yes. The 15 days may be scheduled continuously, on alternate days, weekly or in another agreed pattern.
They should gain foundation-level confidence and classroom-ready outputs. Readiness for advanced technical delivery depends on prior level, practice, selected modules and continued support.
Only when specified in the approved package. Demonstration equipment, reusable school resources and participant kits must be clearly distinguished.
No. It strengthens teacher capability and emphasises human judgement, safeguarding, accuracy and responsible use.
Optional pathways may include advanced educator training, grade-wise academic programmes, curriculum support, clubs, projects and AI/robotics lab setup.
From learning to a technology career.
Strong performance in labs, projects and capstones can lead to further opportunities with TechnoBerg. They are merit-based, subject to availability, legal eligibility and formal selection, and never guaranteed. See the talent pathway