Use of Artificial Intelligence in Teaching and Education
Course code
KAT7065.HR
old course code
Course title in Estonian
Tehisintellekti kasutamine õpetajatöös ja hariduses
Course title in English
Use of Artificial Intelligence in Teaching and Education
ECTS credits
6.0
Assessment form
assessment
lecturer of 2026/2027 Autumn semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
lecturer of 2026/2027 Spring semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Brief description of the course
The nature, operating principles, and limitations of artificial intelligence. The possibilities and challenges of generative artificial intelligence in solving educational problems. The integration of artificial intelligence into the design of the learning process, taking into account pedagogical objectives and learners’ development. Ethical issues, risks, and opportunities related to the use of artificial intelligence, as well as the principles of responsible use. The evaluation of the reliability and quality of AI-generated content. Searching for scientific sources, assessing their credibility, and applying an evidence-based approach in teaching and in education more broadly.
Learning outcomes in the course
Upon completing the course the student:
- knows what artificial intelligence is and understands its main operating principles and key limitations;
- divides problems into smaller parts and provides instructions in a way that enables AI systems to effectively contribute to solution development;
- knows and applies AI tools in various teaching activities (e.g., planning, implementation, and assessment), taking into account pedagogical opportunities as well as potential risks, benefits, and ethical implications;
- integrates artificial intelligence into the design and delivery of learning processes;
- evaluates AI-generated content in order to make informed and ethical decisions;
- finds reliable and diverse sources needed for their work, process them, and critically assess their credibility.
- knows what artificial intelligence is and understands its main operating principles and key limitations;
- divides problems into smaller parts and provides instructions in a way that enables AI systems to effectively contribute to solution development;
- knows and applies AI tools in various teaching activities (e.g., planning, implementation, and assessment), taking into account pedagogical opportunities as well as potential risks, benefits, and ethical implications;
- integrates artificial intelligence into the design and delivery of learning processes;
- evaluates AI-generated content in order to make informed and ethical decisions;
- finds reliable and diverse sources needed for their work, process them, and critically assess their credibility.
Teacher
Janika Leoste, PhD