Major Title: Artificial Intelligence Technologies in Education
Major Description:
This innovative major prepares educators, instructional designers, and education technologists to harness AI's transformative potential in learning environments. Students explore cutting-edge applications of machine learning, natural language processing, and data analytics to enhance teaching effectiveness, personalize learning experiences, and optimize educational systems. The program combines pedagogical theory with technical AI competencies, emphasizing ethical implementation, equitable access, and human-AI collaboration in educational settings.
Learning Objectives:
- Understand fundamental AI concepts relevant to education
- Implement adaptive learning systems and intelligent tutoring
- Design AI-enhanced curriculum and assessments
- Analyze educational data for learning insights
- Develop ethical frameworks for AI in education
- Create personalized learning pathways using AI tools
- Evaluate AI educational applications for effectiveness
- Address algorithmic bias and digital equity issues
- Integrate generative AI responsibly in academic contexts
Course Outline:
Foundational Knowledge
- Educational Technology Foundations
- Evolution of edtech and emerging trends
- Learning science principles
- AI Fundamentals for Educators
- Machine learning basics
- Neural networks and deep learning
Core Applications
- Adaptive Learning Systems
- Algorithmic personalization techniques
- Competency-based progression models
- Intelligent Tutoring Systems
- Cognitive modeling approaches
- Feedback automation strategies
- Learning Analytics & AI
- Predictive analytics for student success
- Early warning systems
Specialized Topics
- Generative AI in Education
- LLM applications for teaching/learning
- Detection and prevention of academic dishonesty
- Educational Robotics & AI
- Social robots for special education
- STEM learning applications
- Ethics of AI in Education
- Bias mitigation strategies
- Student data privacy protections
Practical Training Components:
- AI tool implementation projects
- Learning analytics dashboard development
- Adaptive curriculum design challenges
- AI ethics case study analyses
- School/district technology integration plans
Technology Integration:
- Learning management system AI plugins
- Computer vision for classroom analytics
- Natural language processing tools
- Educational data mining platforms
Program Duration:
2-year Master's Degree (for education professionals)
4-year Bachelor's Degree (with education + CS foundations)
Certification Pathways:
- ISTE AI in Education Certificate
- Microsoft AI Educator credentials
- Google AI for Education certification
Career Outcomes:
- AI Education Specialist
- EdTech Product Developer
- Learning Experience Designer
- Educational Data Scientist
- Digital Learning Administrator
- Academic Innovation Director
Industry Advantages:
- Growing demand in K-12 and higher education
- Opportunities in corporate training and edtech firms
- Potential to shape future learning paradigms
- Competitive edge in educational leadership roles
This program equips education professionals to be thoughtful leaders in the AI revolution, capable of leveraging technological advancements while preserving human-centered pedagogy. Graduates will be prepared to implement, evaluate, and govern AI applications that enhance educational outcomes while addressing equity and ethical considerations.
