Prompt engineering is rarely a one-shot process; it often involves iterative refinement to achieve the desired results. This means starting with an initial prompt, evaluating the AI’s response, and then modifying the prompt based on that output to steer the AI closer to the intended goal. By analyzing these shortcomings, you can then adjust the prompt by adding more context, specifying constraints, refining the persona, or even asking the AI to “try again but focus on…” or “elaborate on…”.
Coaching Beginner Level
This section will lay the groundwork by introducing the fundamental concepts of artificial
intelligence, specifically focusing on chatbots and AI language models like ChatGPT, Gemini, and
Matrix. We'll explore how these conversational AI technologies work, their exciting potential to
enhance learning and teaching in higher education, and the basic functionalities that empower
users to interact effectively with these innovative tools. This foundational knowledge will equip
you to navigate the world of AI in education with confidence and understanding.
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Coaching Intermediate Level
This section focuses on using AI for educational purposes. It covers advanced prompt
engineering techniques, including role-playing and parameter-based prompts, and iterative
enhancement. The materials detail AI's application in creating lesson plans, assessment tools,
and summarizing research. Training includes hands-on exercises for advanced prompts and case
studies for diverse learning styles. Support resources list AI tools for image/video generation,
internationalization, and discuss ethical considerations.
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Coaching Advanced Level
This segment centers on sophisticated AI applications, covering advanced prompt engineering
and the design of custom AI solutions. It includes strategies for managing AI integration and
creating chatbots for targeted learning. Training focuses on developing custom chatbots,
building avatars with speech capabilities, and evaluating AI's long-term impact. Support
resources offer case studies, ethical considerations, exploration of no/low-code AI platforms,
and a community forum for best practices.
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