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Artificial Intelligence in
Education
Dr. Daina Gudoniene, Dr. Tomas Blazauskas
Kaunas University of Technology, Faculty of Informatics
A researcher and methodology specialist, leading the research group "Smart
educational technologies and applications„
Research is focused on effective and innovative technologies for education
2
Content of presentation
1. Opportunities and advantages
2. Technologies
3. AI-based support
3
AI technologies for education
1. Cloud computing
2. Robotics
3. Chatbots
4. Deep learning
5. Machine learning
6. Big data
7. Etc.
4
Opportunities
1. AI for education management and delivery
2. AI to empower teaching and teachers
3. AI for learning and learning assessment
4. Development of values and skills for life
and work in the AI era
5. AI for offering lifelong learning opportunities
for all
6. AI for learning analytics
5
Advantages of
AI in Education
Organized Information Personalized Learning
Better for Students with
Special Needs
Immersive learning Intelligent Tutoring Systems Adaptive Group Formation
Facilitation by Example Intelligent Moderation Virtual Reality Learning
Essay Grading Software
Real-time Problem Solving
Assessment
Improving Course Quality
Dynamic Scheduling and
Predictive Analysis
Virtual Humans
Intelligent Game-Based
Learning Environments
Machine Translation
Empowering the Disabled
(Differently-Abled)
6
Chatbots for education
Selection of a chatbot
development framework
https://www.spaceo.ca/top-ai-chatbot-frameworks
KTU Example: chatbots and virtual reality
9
https://www.youtube.com/watch?v=s7H2mAdbMH0
KTU Example: Chatbots and learning objects
10
https://www.youtube.com/watch?v=l-6SS6x52o8
Conclusions
1. AI allows creating personalized learning plans for individual students
2. AI provides assistance to teachers to support teaching process
3. HE organizations must balance AI Effectively with Security
11
Thank you!
daina.gudoniene@ktu.lt
Faculty of Informatics,
Kaunas University of Technology,
Lithuania

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Digital experiences in technical higher education

  • 1. Artificial Intelligence in Education Dr. Daina Gudoniene, Dr. Tomas Blazauskas Kaunas University of Technology, Faculty of Informatics
  • 2. A researcher and methodology specialist, leading the research group "Smart educational technologies and applications„ Research is focused on effective and innovative technologies for education 2
  • 3. Content of presentation 1. Opportunities and advantages 2. Technologies 3. AI-based support 3
  • 4. AI technologies for education 1. Cloud computing 2. Robotics 3. Chatbots 4. Deep learning 5. Machine learning 6. Big data 7. Etc. 4
  • 5. Opportunities 1. AI for education management and delivery 2. AI to empower teaching and teachers 3. AI for learning and learning assessment 4. Development of values and skills for life and work in the AI era 5. AI for offering lifelong learning opportunities for all 6. AI for learning analytics 5
  • 6. Advantages of AI in Education Organized Information Personalized Learning Better for Students with Special Needs Immersive learning Intelligent Tutoring Systems Adaptive Group Formation Facilitation by Example Intelligent Moderation Virtual Reality Learning Essay Grading Software Real-time Problem Solving Assessment Improving Course Quality Dynamic Scheduling and Predictive Analysis Virtual Humans Intelligent Game-Based Learning Environments Machine Translation Empowering the Disabled (Differently-Abled) 6
  • 8. Selection of a chatbot development framework https://www.spaceo.ca/top-ai-chatbot-frameworks
  • 9. KTU Example: chatbots and virtual reality 9 https://www.youtube.com/watch?v=s7H2mAdbMH0
  • 10. KTU Example: Chatbots and learning objects 10 https://www.youtube.com/watch?v=l-6SS6x52o8
  • 11. Conclusions 1. AI allows creating personalized learning plans for individual students 2. AI provides assistance to teachers to support teaching process 3. HE organizations must balance AI Effectively with Security 11
  • 12. Thank you! daina.gudoniene@ktu.lt Faculty of Informatics, Kaunas University of Technology, Lithuania