CCNA 200-301 Pearson uCertify Network Simulator
Cisco 200-301-SIMULATOR.AB1
CCNA 200-301 Pearson uCertify Network Simulator
ISBN: 978-1-61691-837-8Cisco 200-301-SIMULATOR.AB1
Artificial Intelligence (AI) Course for Educators & Schools
Learn how to develop effective, efficient, personalized learning products and environments using artificial intelligence in education.
(AI-EDUCATN.AE1) / ISBN : 978-1-64459-560-2This course includes
Lessons
TestPrep
Lab
AI Tutor (Add-on)
About This Course
In our AI in education course, you’ll discover the groundbreaking AI's impact on the education industry. We’ll walk you through Generative AI, personalized learning, intelligent tutoring systems, and AI-powered assessment tools. Discover how you can leverage AI development in education to enhance student engagement, improve learning outcomes, and prepare educational institutions for AI-powered learning.
Skills You’ll Get
- Learn Generative AI algorithms, machine learning models, and natural language processing and their application in the education sector.
- Integrate AI tools such as intelligent tutoring systems, adaptive learning platforms, and automated grading systems into teaching practices
- Develop personalized learning curricula using techniques like Generative AI, knowledge tracing, student modeling, and adaptive testing
- Use data mining, data visualization, and predictive analytics to inform teaching decisions and improve student outcomes
- Prepare students for careers in AI-related fields by teaching computational thinking, problem-solving, and data literacy skills
- Address ethical concerns related to AI bias, privacy, and accountability in education
Get the support you need. Enroll in our Instructor-Led Course.
Interactive Lessons
12+ Interactive Lessons | 61+ Exercises | 120+ Quizzes | 36+ Flashcards | 36+ Glossary of terms
Gamified TestPrep
1+ Full Length Tests | 39+ Practice Test Questions
1
Introduction
- Who This Course Is For?
- What This Course Covers?
- To Get The Most Out Of This Course
2
Embracing AI in Education
- Opportunities And Challenges: AI In The Classroom
- Sustainable AI Integration Strategies
- Conclusion
3
Defining AI
- Fundamentals Of AI And Machine Learning
- Exploring Generative AI
- Effective Prompt Writing For Teachers
- Conclusion
4
Reframing Education in the Age of AI
- Preparing Students For The AI‐Driven Workforce
- Developing AI Literacy And Computational Thinking
- Fostering A Growth Mindset And Lifelong Learning Culture
- Cultivating Creativity And Innovation Skills In The AI Era
- Conclusion
5
Adapting Pedagogy for AI Integration
- Learning Theories In The AI Era: Constructivist, Behaviorist, And Sociocultural Approaches
- Active Learning And AI: Transforming The Classroom Experience
- Problem‐ And Project‐Based Learning Strategies With AI
- Bloom'S Taxonomy And Critical Thinking Skills In The AI‐Enhanced Classroom
- Differentiated Instruction: AI‐Generated Customized Activities
- Fostering Collaboration And Relationship‐Building Through AI Integration
- Inquiry‐Based Learning And AI: Encouraging Student‐Centered Exploration
- Conclusion
6
Using AI in Curriculum Development
- Lesson Planning And Curricular Design
- Creating Learning Assets
- Formative Activities: Generated Worksheets, Games, And More
- Summative Assessments: Quizzes, Rubrics, And Performance Tasks
- Implications For Special Education, Ell, And Inclusive Classrooms
- Distance And Remote Education
- Conclusion
7
Automating Administrative Tasks
- Streamlining Communication And Scheduling
- AI‐Enhanced Feedback And Grading
- Optimizing Paperwork And Recordkeeping Tasks
- Conclusion
8
Boosting Engagement and Motivation
- Intelligent Tutoring Systems
- Personalized Learning Pathways
- Gamification And Learning Experiences
- Debates And Discussions
- Executive Functioning And Social‐Emotional Learning
- Conclusion
9
Teaching Students about AI
- Responsible And Ethical Use Of AI
- Digital Citizenship In The AI Era
- Refining And Iterating On AI‐Generated Content
- Addressing AI‐Related Misinformation And Bias
- Conclusion
10
Ethical Considerations for AI in Education
- Reducing, Not Expanding, The Achievement Gap
- Addressing The Digital Divide And Ensuring Access
- Protecting Student Privacy And Data Security
- Conclusion
11
Teacher Professional Development in the AI Era
- The Importance Of Continued Adaptation And Growth
- Essential AI Competencies For Educators
- Leveraging AI For Personal And Professional Development
- Conclusion
12
Adapting and Growing with AI in Education
Using AI in Curriculum Development
- Prompt for Generating Lesson Planning and Curricular Design
- Prompt for Generating Presentation Content
- Prompt for Generating Questions
- Prompt to Compose an Essay
- Prompt for the Content Modification
- Prompt for Creating a 5-minute YouTube Video Scr...t Universal Design for Learning Principles (UDL)
Automating Administrative Tasks
- Prompt to Draft an Email
- Prompt to Compose a Detailed Critique
- Prompt for Generating an Announcement for a School Event Celebrating International Cultural Day
Boosting Engagement and Motivation
- Prompt for Writing a Speech
Teaching Students about AI
- Prompt for Generating a Set of Guidelines for Employees on Cybersecurity Best Practices
- Prompt to Write a 100-word Speech Addressing the... of Promoting Mental Health Awareness in Schools
Any questions?Check out the FAQs
Still have unanswered questions and need to get in touch?
Contact Us NowThis course focuses on generative AI (popularized by the rapid adoption of ChatGPT, Gemini, CoPilot, and more) and how it can help teachers and decision-makers in the education sector to automate workflow and increase student performance. It showcases how educators, instructional designers, and developers can build and develop smart tools and platforms.
AI can improve student outcomes by providing automated learning experiences, adapting to individual needs, and offering immediate feedback. It can lead to increased engagement, motivation, and academic achievement.
Ethical concerns include AI bias, privacy, and accountability. It’s important to consider how AI algorithms may perpetuate biases and ensure that student data is protected.
Applications of AI in the education sector include intelligent tutoring systems, adaptive learning platforms, and automated grading systems.
This course is designed for: Teachers at all levels (elementary, middle, high school, and university) School administrators Curriculum developers Instructional designers Education technology specialists AI Engineers
