Al Tools in Teaching, Education and Research 380-ERA-7JMK

Learning outcomes:
upon successful completion of this course, students will be able to:
• explain the fundamental principles of AI and its applications in education and research;
• identify and evaluate various AI tools used in teaching, learning, and research contexts;
• critically assess the ethical and social implications of implementing AI in educational settings;
• design and implement lesson plans or research methodologies that effectively integrate AI tools;
• demonstrate awareness of current trends and future directions in AI applications within education and research.

Methods and criteria for assessment:
• active involvement in discussions and activities;
• demonstration of engagement with course materials;
• development of a lesson plan or research proposal integrating AI tools;
• assessment of practical application and understanding.

* Rules for the Use of Artificial Intelligence (AI) Systems in This Course *

In accordance with Order No. 31 of the Rector of the University of Białystok dated April 11, 2025, the following rules apply to the use of artificial intelligence (AI) systems within the framework of this course:

1. Permissibility and scope of AI use:
• The use of AI systems is permitted for purposes that support the educational process, including but not limited to: language and stylistic correction of texts, machine translation, searching for academic sources, generating keywords, data analysis, simulations and coding, as well as formulating research problems.
• The automatic completion of all or part of coursework or other assignments by AI systems without the instructor's permission is not allowed.

2. Rules for AI use in written work:
• Any use of AI systems in written assignments (essays, reports, projects, coursework, etc.) must be clearly indicated and properly documented.
• The scope of use (e.g., summarizing sources, stylistic editing, assistance with text structure) and the manner of application (e.g., specific prompts used, method of result verification) must be specified.

3. Tasks that must be completed without AI:
• All tasks requiring individual assessment of critical thinking, data interpretation, formulation of original conclusions, and reflection must be completed independently, without the use of AI systems.
• This applies in particular to parts of the work intended to demonstrate the student’s original contribution, such as personal analyses, interpretation of results, and theoretical reflections.

4. Responsibilities of Students:
• Students are required to independently verify the results generated by AI systems and bear full responsibility for their use.
• Upon request from the instructor, students must present documentation of AI use or provide an explanation.

5. Consequences of violations:
• In the case of unethical or non-compliant use of AI systems, the applicable regulations on disciplinary responsibility may be enforced.

Literature:
• Bowen, J. A., & Watson, C. E. (2023). Teaching with AI. Johns Hopkins University Press.
• Miller, M. (2022). AI for Educators: Learning Strategies, Teacher Efficiencies, and a Vision for an Artificial Intelligence Future.
• Clark, H. (2022). The AI Infused Classroom: Teaching in the Age of Artificial Intelligence.
• Fitzpatrick, D. (2022). The AI Classroom: The Ultimate Guide to Artificial Intelligence in Education.
• Goel, A. (2020). AI-Powered Learning: Making Education Accessible, Affordable, and Achievable.

Dodatkowe informacje (np. o kalendarzu rejestracji, prowadzących zajęcia, lokalizacji i terminach zajęć) mogą być dostępne w serwisie USOSweb:

• Strona przedmiotu 380-ERA-7JMK w USOSweb