Mastering Generative AI for Academic Success

Offering main image Effective Prompt Engineering for Academic Problem Solving Techniques for formulating clear, effective prompts to support research, problem-solving, and academic writing. AI Support in Programming and Technical Courses Introduction to user-friendly AI tools that assist in generating, explaining, and debugging code, accessible to students without extensive programming experience. Generative AI as a Writing Assistant Methods for using AI to support ideation, structural editing, stylistic improvements, and constructive feedback in academic writing. AI-Enhanced Learning and Brainstorming Techniques Approaches to using AI as a study aid and collaborative partner in preparing for exams, generating ideas, and organizing group projects. Human-AI Interaction and User Experience Design Examination of principles for human-in-the-loop systems and user-centered AI design, emphasizing effective, transparent, and supportive interaction. Ethical Considerations and Future Perspectives in AI Critical discussion of ethical implications of AI use in academia, including analysis of current debates such as those presented by the Center for Humane Technology. Effective Prompt Engineering for Academic Problem Solving Techniques for formulating clear, effective prompts to support research, problem-solving, and academic writing. AI Support in Programming and Technical Courses Introduction to user-friendly AI tools that assist in generating, explaining, and debugging code, accessible to students without extensive programming experience. Generative AI as a Writing Assistant Methods for using AI to support ideation, structural editing, stylistic improvements, and constructive feedback in academic writing. AI-Enhanced Learning and Brainstorming Techniques Approaches to using AI as a study aid and collaborative partner in preparing for exams, generating ideas, and organizing group projects. Human-AI Interaction and User Experience Design Examination of principles for human-in-the-loop systems and user-centered AI design, emphasizing effective, transparent, and supportive interaction. Ethical Considerations and Future Perspectives in AI Critical discussion of ethical implications of AI use in academia, including analysis of current debates such as those presented by the Center for Humane Technology.
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Semester / Term Fall/Winter
Course Start Date & Time 2025-10-23 00:00:00
Course End Date & Time 2026-01-07 01:00:00
Type Shared Lecture
Format

online


 

Blended


Host University

University of Applied Sciences St. Pölten


Study Programme Bachelor Creative Computing
Credits (ECTS) 3
Contact hours 30
Full/partial course Full course
Course Content

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Effective Prompt Engineering for Academic Problem Solving


Techniques for formulating clear, effective prompts to support research, problem-solving, and academic writing.


AI Support in Programming and Technical Courses


Introduction to user-friendly AI tools that assist in generating, explaining, and debugging code, accessible to students without extensive programming experience.


Generative AI as a Writing Assistant


Methods for using AI to support ideation, structural editing, stylistic improvements, and constructive feedback in academic writing.


AI-Enhanced Learning and Brainstorming Techniques


Approaches to using AI as a study aid and collaborative partner in preparing for exams, generating ideas, and organizing group projects.


Human-AI Interaction and User Experience Design


Examination of principles for human-in-the-loop systems and user-centered AI design, emphasizing effective, transparent, and supportive interaction.


Ethical Considerations and Future Perspectives in AI


Critical discussion of ethical implications of AI use in academia, including analysis of current debates such as those presented by the Center for Humane Technology."

Prerequisites tried AI tools (e.g. Gemini, ChatGPT, Elicit, etc) before
Teaching Methods group works, discussions, hands-on exercises, everything hybrid / online
Assessment online tests
Learning Outcomes

"Define core concepts in generative AI, prompt engineering, and basic AI-assisted workflows for academic work.


Describe how AI tools can support academic tasks such as writing, brainstorming, and studying.


Identify key ethical considerations and institutional guidelines for responsible AI use.


Utilize generative AI tools to draft, refine, and structure written assignments effectively.


Apply fundamental prompting strategies to enhance the relevance and clarity of AI-generated content.


Experiment with accessible AI tools for simple programming tasks and academic support, without requiring advanced coding skills.


Reflect on the capabilities and limitations of human-AI collaboration within academic settings."

Further Information No
Literature & Materials

tbd

Open To all students interested in studying smarter
Tutors No
Beginning of Application Period 2025-07-01 00:00:00
End of Application Period 2025-10-16 00:00:00