Chapter 2: The 5 Step Prompt Engineering Framework
Outcomes
Evaluate and refine AI-generated content by applying post-processing techniques to enhance precision, clarity, and detail.
Create detailed educational content and case studies by iteratively refining AI-generated drafts and incorporating structured formatting guidelines.
In This Lesson
Outcomes
Step 5 – Post Processing – Adding the Iterative Conversation
Using Bloom’s Cognitive Hierarchy as a Learning Design Framework
Detailed Content 1 – Outline and Detail for Demo
Detailed Content 2 – Outline and Detail for a Case Study
Step 5 – Post Processing – Adding the Iterative Conversation
This next step is considered post-processing. It involves taking the AI's raw output and applying additional modifications or enhancements to refine the content. This is especially useful in producing technical content, where precision, clarity, and detail are paramount.
Using Bloom’s Cognitive Hierarchy as a Learning Design Framework
Demo using How-TO content type: “A detailed guide that shows learners how to perform a specific data analytics task step-by-step” (Table 2 in Reference). << Add link once complete.
I am highly influenced by Benjamin Bloom’s taxonomy, an influential teaching philosophy and classification system created in 1956. This system distinguishes various levels of human cognition and is utilized in educational environments to establish learning objectives, assessments, and activities.
Bloom’s cognitive hierarchy, often referred to as Bloom’s Taxonomy, is a framework for categorizing educational goals by different levels of complexity and abstraction. The hierarchy comprises six levels: Remembering (recalling facts), Understanding (interpreting and translating information), Applying (using the information in a new way), Analyzing (breaking down information into parts), Evaluating (making judgments or forming opinions about information), and Creating (generating new ideas, products, or ways of viewing things). Each level is built on the mastery of the previous level, promoting the development of higher-order thinking skills.
See Overview in my article, How to Use Outcome-Based Lesson Planning with Technical Content - AI TechED Insights
(See Bloom’s taxonomy – Wikipedia, also, Bloom’s Taxonomy | Centre for Teaching Excellence (uwaterloo.ca), Bloom’s Taxonomy: The cognitive domain – Teaching and Learning | University of Saskatchewan (usask.ca)
Detailed Content 1 – Outline and Detail for Demo
Given the directions provided, the output quality is a great starting point. This is where you start adding in your experience. This lesson has information and allows hands-on labs or takeaway assignments in the “Creating Your First Reports” section.
Prompt:
Can you expand each of the points in section 3, Creating Your First Visualization, referencing the How-TO content type "A detailed guide that shows learners how to perform a specific data analytics task step-by-step"
Also, use the Formatting Hints from earlier. For clarity, I will put them here again.
As we review this content, please follow the following formatting hints: Use short sentences, concise paragraphs, bullet points, and lists. Use numbered lists for step-by-step instructions. Emphasize important information. Use transitional words and phrases. Include relevant examples and case studies. Consider the inverted pyramid structure.
The response is a point-form outline that can be used as a basis to create the lesson. Again, it can be modified and used as a starting point.
Detailed Content 2 – Outline and Detail for a Case Study
We could leverage the Creating Writing Prompts to create a case study (See Table 13). This is a detailed prompt that I worked on for quite some time. I wanted to create a Case Study based on a Power BI workshop the group would work on. There would be background content that would explain the ask. The students would then take the surveys, apply what they learned, create an analysis, and present their findings.
After much discussion, I created the prompt after drafting a good background summary. This allowed the AI to provide the draft case study I was looking for, which became the basis for the background, surveys, and other case study material.
So, the better initial input provided the AI with enough guidance to produce the outline draft I was looking for. I also saved a lot of time by having a good brainstorming partner who could provide feedback. This helped me formulate my ideas and gave me good guidance.
Prompt:
Let's create a sample case study from Section 2. The Case study example involves selecting the right visualization for a given scenario, referencing the Creative Writing Prompts and expository content type.
Background:
Please create a case study for a 5-day Power BI workshop held by ABC Company, a leading tech education firm.
The workshop, "From Zero to Hero: Mastering Power BI," was designed for business analytics professionals with basic data processing and analysis knowledge. It aimed to teach participants how to leverage Power BI for data visualization, data storytelling, and predictive analytics, thus transforming them into data power users.
Day 1 of the workshop covered an introduction to Power BI, data importing, and cleaning, while day 2 delved into creating basic visuals and reports. Day 3 explored advanced data modeling and DAX, with day 4 focusing on more advanced visualizations and Power BI service features. Finally, day 5 was dedicated to Power BI administration and a capstone project where participants applied their new skills.
ABC Company invested in comprehensive marketing strategies leading up to the workshop, targeting social media channels, email marketing, and content marketing on their blog. The workshop was priced at $1000 per participant, with early bird discounts and group discount options available.
The firm also invested in quality training resources, including a team of expert instructors, a well-detailed course curriculum, hands-on project work, Q&A sessions, and follow-up learning materials. After the workshop, participants were awarded a certification of completion, and top performers were recognized with an 'Excellence in Power BI' certification.
The workshop had 100 participants from various industries, including finance, marketing, sales, IT, and HR. Feedback was collected from participants throughout the workshop, and their learning progress was tracked and evaluated.
Please create a case study evaluating the workshop's success, including its planning, execution, participant feedback, and outcomes. Discuss the effectiveness of ABC's marketing strategies in driving registrations, evaluate the quality of the training resources and their impact on the participants' learning experience, analyze participant performance and their improvement over the five days, and suggest potential improvements for future workshops. The case study should be presented clearly, concisely, and engagingly, incorporating relevant data visualizations created using Power BI.
The following is the outline produced.
Skipping to the end, this is the Assignment that I created from the inputs.
The next case study section is having the students analyze the workshop survey responses. The student survey about the quality of the workshop. These responses would need to be scored between 1 and 5. The following 20 questions were part of the surveys ........ (Removed for Spces, they are in the result)
Can you write this up with questions or tasks the students would have to do in an in-class assignment?