3. Process Flow
3.1. Module Learning & Experience Design3.2. Individual Flow Design3.3. Narrative Design & Skills Mapping3.4. New Assets Creation3.5. Annex: World Building - Learning & Experience Design3.6. Annex: World Building - Story Design3.7. Process Flow Conclusion4. Caveats
4. Caveats5. LLM Prompt Engineering Techniques
5.1. Use The Latest Model5.2. Zero-shot Prompting5.3. Few-shot Prompting5.4. Chain-Of-Thought Prompting5.5. Structuring Prompts5.6. Describing Prompts5.7. Editing Prompts5.8. Extending Responses5.9. Multiple Users Collaborating6. Text-to-Image Prompting Engineering Techniques
6.1. General Techniques6.2. Photography6.3. Architecture6.4. Various Aesthetic Styles6.5. Product & Material3.1. Module Learning & Experience Design
Both the Learning and Narrative Designers will collaborate on this process of learning and experience design.
3.1.1. Problem Statement & Learner Persona
A learning module typically begins with a problem statement and a relevant learner persona.
3.1.1.1. Investigation Of A Topic Using Elicit, SciSpace, and Perplexity
- Use Elicit, an AI research platform to search research papers related to any topic that we are investigating.
- Download relevant research papers and upload them to SciSpace, another AI research platform that allows users to pose questions and receive summarized answers based on the research paper content.
- Use Perplexity for research and links to relevant sources for further discovery.
3.1.1.2. Synthesize Research
We request ChatGPT to synthesize research and compile a detailed list of interview questions and probing questions.
You are an expert instructional designer creating a scenario-based learning solution. You are skilled at analyzing research and engaging with subject matter experts.
Your task is to compile and synthesize research write-ups and extrapolate questions to ask subject matter experts during your analysis phase.
When you’re ready to analyze the research say, "I'm ready." After you acknowledge you are ready, I will provide you with the topic of the scenario-based learning solution and the research findings and citations related to the topic. The text may need to be sent in multiple parts. Return with, “Added to my memory” with each set of new information until I say “That’s all.”
After I say, “That’s all” return a detailed list of interview questions and follow-up probing questions to ask the subject matter expert with the goal of attaining expert knowledge yourself.
The topic of the scenario-based learning solution is [insert topic].
[Insert SciSpace summary]
The topic of the scenario-based learning solution is [insert topic].
Rewrite all of the interview questions within the context of corporate businesses
*Click on the edit button to edit the previous prompt instead of writing a new prompt. Refer to the Prompt Engineering Technique section for an explanation.
That’s all.
3.1.1.3. Transcript of SME Interview Using The Generated Questions.
Next, we transcript the SME interview using the generated questions.
You are an expert [insert SME role] who consults on the topic of [insert topic]. You are skilled at guiding businesses in understanding the need for [insert topic] and helping them to implement strategies for [insert topic] within their businesses. Your task is to answer the SME interview questions below.
Questions: ###
[Insert interview questions obtained from the previous step]
###
3.1.1.4. Transcript of SME Interview Conducting A CTA.
Next, we inform ChatGPT of the context and conduct a cognitive task analysis (CTA).
3.1.1.5. Generation Of Learner Personas And Empathy Maps For Validation By SME
Create 3 learner personas for the scenario-based learning solution about [insert topic] based on the interview questions and cognitive task analysis results.
The learner personas should include the following details: demographics, bio, prior knowledge, motivations, perspectives, characteristics, goals, needs, values, and fears.
Create empathy maps for each learner persona. Ensure the empathy maps include what they say, think, do, and feel.
We use the learner personas and empathy maps to inform the module design decisions.
3.1.2 Module Name
Initially, the module name will be based on the topic title, such as "Generative AI in the Creative Industry" for a module focused on the adoption of generative AI in creative fields.
The marketing team will finalize the module name before publication, potentially using ChatGPT's assistance to devise a more imaginative title like "A New Dawn of Creativity."
Propose 20 suitable learning module names for a topic on [insert topic]
Follow-On Prompt:
Provide more course names that include the words [Insert words] and [insert words], and exclude the word [Insert words]
3.1.3 Module Learning Objectives
In this section, we generate learning objectives based on interview output, providing a formula, an example, and constraints.
In the prompt below, we adopt the Chain-Of-Thought Prompting Technique where we tell the model step-by-step how it should reason about the problem / the steps it should take to get the answer. Refer to the Prompt Engineering Technique section for a detailed explanation.
You are an expert instructional designer skilled at creating course materials for enterprise corporations. You are designing a scenario-based branched conversation on [Insert module topic].
Task:###
1. Review the interview responses with the HR consultant, cognitive task analysis results, learner personas, and empathy maps.
2. Write 5 learning objectives based on all of the information reviewed.
3. You must use the following structure to write learning objectives: ###
In order for learning objectives to be clear, consistent, and measurable, learning objectives should contain a verb and an object.
Use this formula:###
Learning objective = Action verb + object
Action verb: what the learner will do as a result of the training. The action generally refers to actions associated with the intended cognitive process.
Object: The object generally describes the knowledge learners are expected to acquire or construct.
Example:
After completing the course, learners will be able to respond to behavioral questions of an interview using the STAR method with no errors. ###
[Retain all the same information as the previous prompt and add a new section ‘Constraints’ as per below].
Constraints:###
Learning objectives must use the cognitive process dimension action verbs from Bloom's Taxonomy.###
Another common tip with designing prompts is to avoid saying what not to do but say what to do instead.
3.1.4. Module Learning Points
In scenario-based learning conversations, key learning points are operationalized learning objectives. This means they are the observable behaviors that learners need to perform in the scenario to demonstrate proficiency with the learning objectives. Provide a list of 5 key learning points for the [insert module topic] learning experience considering the learning objectives below.
Learning objectives: ###
[Insert learning objectives]
###
3.1.5. Module Skills
Identify and define the top 8 skills that a person who demonstrates successful [insert topic] in the workplace exhibits during [insert context].
We use this preliminary list to select the skills within the Talespin skills ontology and identify any custom skills that would need to be defined and added. So that the generated custom skill definitions for net new skills match the style of the Talespin Ontology definitions, we use the following prompt.
In the prompt below, we adopt the Few-Shot Prompting Technique where we provide exemplars to steer the model toward better performance. Refer to the Prompt Engineering Technique section for a detailed explanation.
The skills that represent this module are:
[Provide 5 Talespin Ontology Skills + Definitions]
___: [Blank]
3.1.6. Module Structure Overview
3.1.6.1. Generation of Module Structure Based on Learning Objectives
You are a subject-matter-expert in [insert topic]. You are consulting with an instructional designer to create a learning solution that teaches [insert topic] how to [insert relevant phrase] in the workplace.
These are our learning objectives: ###
1/
2/
3/
…
###
Identify the topics you would cover. List them in sequence and describe the concepts in depth.
In the prompt below, we adopt the Zero-Shot + Chain-Of-Thought Prompting Technique where we add “Let’s think step by step” to a prompt. Refer to the Prompt Engineering Technique section for an explanation.
What advice would you give the instructional designer to enable them to create a scenario-based learning solution on this subject matter?
Let’s think step by step.
3.1.6.2. Brainstorm of Scenario Within the Parameters of the Previous Output
Describe in depth a number of realistic workplace scenarios that allow learners to apply [insert topic] concepts and the characters involved in each of these scenarios.
These all feel very similar. Provide examples that are [different, regional, etc].
Provide 3 versions of [Scenario 1]. Each scenario should have [a different character demonstrating ____, etc]
Scenario & characters: ###
[Insert selected scenario & characters]
###
Once we select a suitable scenario, we create the story arc/beats of a conversation.
[Insert selected scenario name] takes place as an interactive conversation between the learner and other workplace professionals. The learner experiences this conversation in the first person. Create a 5-point story arc for how this conversation can unfold.
Scenario & characters: ###
[Insert selected scenario & characters]
###
At this point in time, we should have gathered all the information required and been able to complete the module structure overview design without the aid of ChatGPT.
3.1.7. Module Description
Write a learning module description based on the information we have gathered.
Module Information: ###
[Insert relevant information of the module]
###
Describe ways in which [insert scenario company description] would benefit from [insert module topic subject matter]
Let's focus on the following outcomes for a non-profit creating motivational KPIs:
Outcomes: ###
[Select 2-3 from the list]
###
Let's consider the following actions that the non-profit will carry out:###
1/ [List Key Learning Points]
2/
3/
###
Create a story about a [insert scenario company] that carries out the actions so that they can achieve the outcomes.
Synthesize the story in 500 characters or less.
You may also choose to select key pieces from the story to highlight in the synthesis.
3.1.8. Why Is The Module Relevant?
This is intended to provide guidance to the Marketing team regarding the significance of this module for users.
Explain in 1 paragraph why it's important for people to know how to [insert module topic]. Ensure the paragraph is under 500 characters.
Alternatively, you can list the learning objectives.
3.1.9. SME Review
The producer will facilitate engaging a relevant SME and arrange for a call for the Learning and Narrative Designer to consult.
The learning designer will work on the process of individual flow design.
← Previous
Prompt:
Cognitive Task Analysis is a method to capture accurate and complete descriptions of expert cognitive processes and decisions.
You are an expert [insert SME role] and a cognitive task analysis is being conducted with you to investigate an issue that a business is having with implementing [insert topic] in the workplace. The business problem is [insert topic].
An instructional designer is performing the method of cognitive task analysis questioning as they interview you to learn more about the performance objectives, equipment, conceptual knowledge, procedural knowledge, and performance standards that you use to address this problem.
Task: Create a transcript of this interview, inclusive of the goal and following the specified format.
Goal: The outcome of the cognitive task analysis is a description of the performance objectives, equipment, conceptual knowledge, procedural knowledge, and performance standards used by experts as they perform a task.
Format: Format the descriptions so that they can be used as records of task performance and to inform novices in a way that helps them achieve the performance goals in any context.
On this page:
- 3.1. Module Learning & Experience Design
- 3.1.1. Problem Statement & Learner Persona
- 3.1.1.1. Investigation Of A Topic Using Elicit, SciSpace, and Perplexity
- 3.1.1.2. Synthesize Research
- 3.1.1.3. Transcript of SME Interview Using The Generated Questions.
- 3.1.1.4. Transcript of SME Interview Conducting A CTA.
- 3.1.1.5. Generation Of Learner Personas And Empathy Maps For Validation By SME
- 3.1.2 Module Name
- 3.1.3 Module Learning Objectives
- 3.1.4. Module Learning Points
- 3.1.5. Module Skills
- 3.1.6. Module Structure Overview
- 3.1.6.1. Generation of Module Structure Based on Learning Objectives
- 3.1.6.2. Brainstorm of Scenario Within the Parameters of the Previous Output
- 3.1.7. Module Description
- 3.1.8. Why Is The Module Relevant?
- 3.1.9. SME Review