Artificial Intelligence in Education: Transforming Teaching and Learning for the Future

This presentation explores the transformative role of artificial intelligence in education, highlighting how AI enhances personalized learning, automates administrative tasks, and creates engaging, adaptive classroom experiences. It covers real-world applications such as intelligent tutoring systems, AI-powered assessment tools, virtual classrooms, and assistive technologies that support diverse learner needs. With examples from platforms like Duolingo and Khanmigo, as well as recent trends in AI-driven curriculum design and data analytics, the presentation provides insights into how AI is shaping the future of education—making learning more accessible, efficient, and tailored to individual student needs.

1. LEVERAGING AI IN EDUCATION:
FACULTY AND STUDENT -FOCUSED
SESSIONS
Exploring innovative AI applications to enhance learning experiences
Navid Nazhand , Fall 2025

2. FACULTY-FOCUSED
SESSION: ENHANCING
TEACHING WITH AI

3. INTRODUCTION TO AI
IN EDUCATION
AI Enhances Education
AI offers innovative solutions that improve teaching and learning
processes in education.
Key AI Technologies
Machine learning, natural language processing, and intelligent tutoring
systems are key AI technologies used in education.
Benefits for Educators
AI helps faculty automate tasks, personalize learning, and gain insights
into student performance.
Importance of AI Literacy
Understanding AI basics enables educators to effectively integrate tools
and adapt to changing academic environments.

4. PLANNING PHASE: AI
TOOLS FOR COURSE DESIGN
AND PREPARATION
AI Streamlines Design
AI tools simplify course planning by generating outlines and suggesting
relevant content.
Data-Driven Recommendations
AI analyzes educational data to recommend best curriculum practices
and optimize design.
Focus on Pedagogy
Automated tasks allow educators to emphasize pedagogy and student
engagement.
Inclusive Material Alignment
AI helps align course content with learning objectives and ensures
accessibility.

5. IN-CLASS PHASE: AI TOOLS
TO SUPPORT TEACHING
DELIVERY
Real-Time Instruction Support
AI provides real-time transcription and adaptive platforms to support
dynamic teaching.
Personalized Learning Paths
AI analyzes student responses to tailor lessons and suggest remedial
resources.
Engagement Monitoring
AI tools monitor student participation and engagement to inform
teaching strategies.
Instant Feedback Delivery
AI assists in providing immediate feedback to improve student
understanding.

6. POST-CLASS PHASE: AI FOR
ASSESSMENT CREATION
AND FEEDBACK
AI-Driven Assessment Creation
AI generates quizzes and exams aligned with learning objectives and
student data.
Multiple Assessment Versions
AI creates diverse assessment versions to ensure integrity and
accommodate learner needs.
AI-Powered Grading
Automated systems efficiently evaluate submissions and provide
personalized feedback.
Enhanced Educational Support
AI tools save faculty time and improve assessment quality and
consistency.

7. SPECIFIC TOOLS: NOTEBOOKLM, AI
BROWSERS, AND MORE
NotebookLM Capabilities
NotebookLM helps educators organize notes and generate concept summaries
efficiently.
AI Browsers Functionality
AI browsers provide intelligent search for quick access to academic resources.
Diverse AI Tools
Other AI tools include content creation platforms, virtual assistants, and analytics
dashboards.
Enhancing Teaching Quality
Integrating AI tools boosts productivity, creativity, and instructional quality.

8. A S S E S S M E N T F O C U S : C R E A T I N G
A S S E S S M E N T S , R U B R I C S ,
M U L T I P L E V E R S I O N S , A N D
P R O V I D I N G F E E D B A C K
AI-Driven Assessment Design
AI helps create assessments aligned with learning goals and tailored to
individual student needs.
Rubric Generation
AI generates clear, consistent rubrics to ensure transparency and
fairness in grading processes.
Multiple Assessment Versions
AI creates diverse assessment versions to uphold academic integrity
and support diverse learners.
Personalized Feedback
AI provides tailored feedback based on student performance to
improve learning outcomes.

9. KEY POINTS FOR
FACULTY
Time Savings with AI
AI automates routine tasks, allowing faculty to save time for more
valuable activities.
Enhanced Creativity
AI tools enable innovative course design and dynamic content delivery
for better engagement.
Improved Student Learning
AI supports assessment by creating rubrics, feedback, and efficient
grading to enhance learning.
Encouraging AI Adoption
Demonstrating practical AI tools helps faculty appreciate their benefits
and adopt technology.

10. STUDENT-FOCUSED
SESSION: ENGAGING
WITH AI TOOLS

11. INTRODUCTION: WHY AI
MATTERS FOR STUDENTS
Personalized Learning Support
AI enables tailored learning experiences to meet individual student
needs effectively.
Instant Feedback Mechanism
AI provides real-time feedback to help students improve their
understanding quickly.
Enhanced Research and Collaboration
AI tools support better research skills and promote effective team
collaboration.
Preparing for Future Careers
Understanding AI equips students with skills necessary for future job
markets.

12. CURRENT PILOT ACTIVITIES
WITH AI TOOLS IN THE
CLASSROOM
AI for Collaborative Projects
AI tools facilitate teamwork and cooperative learning among students
on shared tasks.
Personalized Tutoring
AI provides customized tutoring tailored to individual student learning
needs and pace.
Interactive Learning Experiences
AI enhances engagement through interactive tools that support content
creation and problem-solving.
Feedback-Driven Refinement
Educators use pilot feedback to improve AI integration and identify best
teaching practices.

13. APPLICATION OF AI TOOLS
FOR REAL LEARNING TASKS
AI Enhances Critical Thinking
AI tools support complex tasks that require critical thinking and
creativity in learning.
Diverse AI Applications
Applications include writing assistance, coding support, data
visualization, and research synthesis.
Immediate Feedback
AI provides instant feedback helping students improve assignments
and explore ideas.
Meaningful Engagement
Integration of AI fosters practical skills and deeper understanding
beyond superficial use.

14. B E Y O N D S I M P L E
D E M O N S T R A T I O N S : D E E P E R
S T U D E N T E N G A G E M E N T W I T H A I
Beyond Basic Use
Students should move beyond simple AI demonstrations to deeper,
meaningful engagement.
Complex Problem Exploration
AI helps students explore complex problems through collaborative
projects and reflection.
Critical Evaluation
Students learn to critically assess AI outputs for reliability and
relevance.
Active Learning Integration
Thoughtful AI integration fosters active student participation and
deeper understanding.

15. FUTURE DIRECTIONS AND
ONGOING ENGAGEMENT
Evolving AI Role
AI's role in education will expand with new pilot programs and course
integrations.
Continuous Feedback
Collecting feedback and analyzing outcomes ensures AI strategies
remain effective.
AI Literacy Support
Institutions must help students develop AI literacy and ethical
awareness.
Roadmap for Improvement
A clear roadmap promotes sustained, responsive AI use in education.

16. KEY POINTS FOR
STUDENTS
Meaningful AI Use
Encourage students to use AI tools in practical ways that enhance
learning outcomes.
Active Learning Engagement
Foster active student involvement through AI-driven feedback and
adaptive learning activities.
Personalized Learning Support
AI supports personalized learning paths to improve academic
performance and career readiness.
Responsible AI Guidance
Educators should guide students to use AI tools responsibly and
effectively for education.