AI Tools for Modern Education: 1 Day Training in Canberra
Description
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About This Course
Duration: 1 Full Day (8 Hours)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, Snacks, and beverages will be provided during the session
📧 Contact us today to schedule a customized in-house session: info@mangates.com
Course Overview
This 1 Day course is designed for educators who want to understand how artificial intelligence can be used responsibly and effectively in educational environments. The training focuses on practical classroom applications of AI, including lesson planning, learning support, assessments, and administrative efficiency, without compromising ethics, academic integrity, or professional judgment.
You will explore how AI supports teaching decisions rather than replacing educators, how to evaluate AI outputs critically, and how to set clear boundaries for AI use with students. The course also addresses ethical considerations, transparency, bias awareness, and future readiness, helping educators confidently integrate AI into modern teaching practices.
Learning Objectives
• Understand how AI is transforming teaching, learning, and administration
• Use AI responsibly to support lesson planning and classroom activities
• Apply AI thoughtfully to assessments and feedback processes
• Identify ethical risks and academic integrity challenges
• Make informed decisions about AI adoption in education
• Prepare for future trends in AI-enabled learning environments
• Maintain professional judgment while working with AI tools
•
Target Audience
· School teachers and educators
· College and university faculty
· Academic coordinators and administrators
· Instructional designers and curriculum planners
· Education leaders and trainers
· EdTech and learning professionals
Why Choose This Course?
This course is delivered by an experienced trainer with practical exposure to education environments and AI-supported teaching workflows. The content focuses on real classroom challenges rather than technical complexity, ensuring clarity and relevance. Ethical use, academic integrity, and responsible decision-making are embedded throughout the program. You leave with confidence, clarity, and a future-ready mindset for teaching with AI.
©2026 Mangates Tech Solutions Pvt Ltd. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.
Agenda
Module 1: Foundations of AI in Education
• Understanding AI in simple, non-technical educational terms • How AI differs from traditional educational technology tools • Current trends and adoption of AI in teaching and learning • Icebreaker
Module 2: AI for Lesson Planning & Content Support
• Using AI to generate lesson ideas and teaching resources • Creating explanations, examples, and learning materials • Aligning AI-generated content with curriculum standards • Activity
Module 3: AI for Student Engagement & Learning Support
• Supporting diverse learning needs using AI tools • Enhancing curiosity and engagement in learning activities • Maintaining student independence while using AI assistance • Case Study
Module 4: AI in Assessment & Feedback
• Designing quizzes and formative assessments with AI support • Supporting feedback and grading workflows responsibly • Understanding the limitations of AI in evaluation processes • Simulation
Module 5: Ethics, Bias & Academic Integrity
• Ethical boundaries for AI usage in educational settings • Preventing plagiarism and misuse of AI by students • Promoting transparency and responsible AI practices • Role Play
Module 6: AI for Administrative & Educator Productivity
• Reducing administrative workload using AI assistance • Supporting documentation, reporting, and planning tasks • Time-saving strategies for educators and institutions • Activity
Module 7: Preparing for the Future of AI in Education
• Building an AI-ready teaching and learning approach • Identifying tasks suitable for AI support • Understanding emerging trends and future implications • Case Study
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