Robot Day Personas
The Robot Day website is designed to support different roles within any learning organization. The relationship between each role and this website is called the persona
of the role.
Sample Prompt
I am creating an intelligent book and website called "Robot Day"
which supports a single-day event at an educational organization that
promotes fun STEM and AI activities and promotes a modern
curriculum of hands-on project-based learning activities.
First define the term "personas" for different stakeholders
that might use this intelligent book and website. Then give examples
of six personas like teacher, student, school administrator,
parent etc.
For each persona, give an example of how hyper-personalization
technologies could be used to change the content for this
intelligent online website using generative AI.
We use Raspberry Pi hardware and MicroPython in these activities.
Return each persona in a level 3 markdown section.
Sample Response
Definition of "Personas"
Personas are semi-fictional representations of the different categories of people who might engage with a product, system, or service. They are typically based on research and data-driven insights about users' motivations, needs, challenges, and behavior patterns. In the context of the "Robot Day" intelligent book and website, personas represent the various stakeholders---teachers, students, parents, administrators, and others---who will interact with the online resource. Each persona helps guide design and content decisions, ensuring that the platform is tailored to address the unique goals, interests, and skill levels of each user group.
Six Example Personas and How Hyper-Personalization Could Be Applied
Note
These personas have been lightly edited and reformatted to be more appropriate for the context of Robot Day events. You can see the original ChatGPT session here.
Persona 1: The Elementary School Teacher
Profile: A grade 4 classroom teacher who wants simple, engaging projects that introduce basic robotics concepts.
Hyper-Personalization Example: The website uses generative AI to analyze the teacher's subject area focus, age group, past successful lesson plans, and skill level. It then automatically curates a set of step-by-step project guides, aligned to curriculum standards and suitable for 9--10-year-olds. The content might include simplified language, recommended class-length videos, and printable worksheets, all adjusted based on the teacher's past usage and expressed preferences (e.g., shorter activities on busy weeks, or more challenging projects if previous ones went smoothly).
Persona 2: The Middle School Student Enthusiast
Profile: A 12-year-old who loves tinkering with robots and has built a few simple microcontroller projects with MicroPython.
Hyper-Personalization Example: The system, noticing the student's browsing history and performance on interactive quizzes, offers more advanced tutorials featuring robotics coding challenges, gamified quizzes, and AI-driven feedback. The generative AI might create custom "missions" that incorporate the student's favorite themes (e.g., sports robots or robotic pets) and suggest next-level components to explore, adapting complexity as the student's understanding improves.
Persona 3: The High School STEM Club Leader (Student)
Profile: A 16-year-old who leads a small robotics club at school, interested in competition-level projects.
Hyper-Personalization Example: The platform detects that this user frequently views competitive robotics resources. It generates a customized feed featuring advanced tutorials, interviews with experts, timelines for building more sophisticated robots (e.g., drones, robotic arms), and AI-driven suggestions on how to prepare for local robotics competitions. The system might also connect this leader to advanced forums or Q&A sessions with mentors, adapting the content to help them tackle more intricate engineering and coding challenges.
Persona 4: The School Administrator / Curriculum Coordinator
Profile: A principal or curriculum coordinator looking to integrate modern STEM activities into the school's yearly plan.
Hyper-Personalization Example: The website's generative AI filters through robotics curricula, case studies, and professional development workshops. It then delivers administrative-friendly dashboards that show teacher readiness metrics, recommended training modules, and summaries of cost-effective resource bundles for classroom use. The personalization might highlight grants, compliance checklists, and alignment with educational standards (like NGSS or state-specific frameworks) to help the administrator make informed decisions.
Persona 5: The Parent / Guardian of a Curious Child
Profile: A parent who wants to support their child's interest in robotics but is not tech-savvy.
Hyper-Personalization Example: The system recognizes that the user is a parent and provides a simplified, friendly interface with step-by-step guidance on how to set up safe, at-home robotics activities. Using generative AI, the platform may create customizable "family activity kits," recommend inexpensive starter kits, and generate personalized newsletters with "Robotics at Home" tips. It could also adapt the complexity of explanations based on the child's age and the parent's feedback (e.g., simpler language, fewer technical terms, and more visual explanations).
Persona 6: The After-School Program Coordinator
Profile: A community center staff member who organizes STEM clubs and maker-spaces for kids aged 8--14.
Hyper-Personalization Example: The system identifies the coordinator's role and generates multi-level lesson plans suitable for a range of ages and skill levels. It provides timelines, materials lists, and session outlines that adjust as the coordinator logs attendance or provides feedback. Generative AI could suggest thematically varied projects (e.g., eco-friendly robotics, robotics applied to art), adapt instructions to local resource availability, and even produce promotional flyers or sign-up sheets tailored to the center's branding and demographic.
Summary
By creating personas and employing hyper-personalization through generative AI, the "Robot Day" platform can ensure that each stakeholder engages with content that feels tailored, accessible, and relevant---ultimately fostering a more effective and enjoyable learning experience.