PTEN
Back to portfolio
Open ApplicationOpen Quiz
Bilingual program, anonymized organization

AI Literacy for the Modern Workplace

A bilingual program combining self-paced learning about workplace AI with a live quiz for discussion and comprehension checks. The page shows a public demo, not a record of a real session.

Problem, decision, and evidence

Problem

An organization with people in Brazil and other countries needed a common AI literacy baseline without relying only on synchronous meetings.

Role and decision

I was responsible for instructional design, content, and the learning experience. I separated foundational learning in the self-paced course from collective discussion in the live quiz.

Available evidence

The course and quiz can be tested as public demos. The engagement recorded 97% CSAT, but the sample, scale, instrument, and period are not public.

Product demo: the self-paced course opening and its modular organization.
Product demo: self-paced content connecting AI foundations to workplace situations.
Product demo: entry to the live quiz with a room code; this is not a record of a real group.
Product demo: participant mode used to answer during the live activity.
Product demo: presenter dashboard used to guide the question and monitor the room.
Product demo: the explanation step that turns an answer into a facilitated conversation.

Click to enlarge

Scope of work

Role

Instructional design, content, and learning experience

Audience

Non-technical audiences and distributed teams

Methods & technology

ADDIE, ADKAR, Dreyfus, and generative AI

Outcome

Foundations studied at each person's pace and a live discussion built on common ground

Context

A bilingual program created for an anonymized organization with people in Brazil and other countries. The design combined a self-paced course and live quiz; the public demos preserve the client's context.

Business problem

The organization needed a common AI literacy baseline for audiences with different experience levels and languages without concentrating all learning in one synchronous session.

Audience & personas

  • Professionals in Brazil and other countries
  • People in non-technical roles
  • People encountering AI at work for the first time
  • Facilitators responsible for the live discussion

Adoption barriers

  • Language differences across audiences
  • Different levels of familiarity with AI
  • Risk of content becoming abstract or overly academic
  • Need for consistency between self-study and facilitation

Solution design

  • Short self-paced modules for asynchronous learning
  • Content in Portuguese and English
  • ADDIE as the instructional design model
  • ADKAR as a reference for adoption and change
  • Dreyfus as a reference for competency progression
  • Live quiz with a room code, participant mode, and presenter dashboard
  • Shared content base across the course and activity

Scope and deliverables

  • Bilingual course script and content
  • Navigable experience for self-paced learning
  • Live quiz with participant and presenter modes
  • Public demos without participant data or session records

Evidence and signals

  • 97% CSAT recorded for the engagement
  • The CSAT sample, scale, instrument, and period are not public
  • The figure measures reported reaction and does not prove learning, adoption, or impact
  • Course and quiz available as working demos

Lessons learned

Separating asynchronous preparation from live discussion gives the group session a clear purpose: apply concepts, compare interpretations, and resolve questions.

Next improvements

Document the CSAT methodology when authorized and expand the scenario bank for different functions, levels, and countries.

View implementation details
  • The self-paced course and live quiz share the same content base but serve different purposes: individual preparation and collective discussion.
  • The quiz has a room code, participant mode, and presenter dashboard. The screenshots were produced in the demo, not during a session with employees.
  • The engagement recorded 97% CSAT. Because the sample, scale, instrument, and period are not public, the figure should be read as a reaction signal, not proof of learning, behavior change, or impact.

Related services

AI Adoption StrategyBefore commissioning training, technology, or metrics, this engagement organizes the decisions: where to start, which pilot fits the context, who is accountable for it, and what needs to happen next. The scope ends with an approved design; execution, integrations, and operations are later workstreams.Learning Paths & WorkshopsPurchasable formats for a synchronous decision-making and practice experience: executive session, hands-on workshop, or modular path. Each format combines facilitation, real tasks, and feedback during the activity; it is not a generic lecture or a promise of behavior change without follow-through.Enablement Playbooks & AssetsEnablement means giving a team practical conditions to use AI without always depending on outside help. The package turns recurring decisions and tasks into editable playbooks, templates, rubrics, and guides with a defined audience, validation path, owner, and maintenance rule.Metrics & Continuous ImprovementI design the model connecting reaction, learning, behavior, and impact without treating correlation as causation. The work defines what to measure, where the data comes from, and how to read the signals; business outcomes and integrated dashboards depend on data quality and later implementation.

Next cases

Humanizador PT-BRUsers receive a review that reduces artificial markers without replacing meaning or voice with a generic styleEnterprise TrainingFacilitation experience transferable to new topics, including AI programs designed for each context
AI literacy program

Want to combine self-paced learning and live facilitation?

I can present the demo's learning architecture and discuss how to adapt it to your audience's experience, language, and real work.

Discuss the program