Black-Liberation.Tech

Read with Curiosity, Learn Through Questions

What if asking questions while you read isn't a sign that you don't understand—but evidence that you're actively learning?

In this episode of the Black-Liberation.Tech AI for Academic Success series, Dr. Renée Jordan enters the Homework Help Lab and begins putting the workbook's learning strategies into practice.

First, meet the Homework Help Lab Scholars and Nevaeh, a learner beginning to discover how artificial intelligence can serve as a thinking partner. Then meet Rosario, whose story introduces the first learning strategy: reading with questions.

Through the Help Me Understand What I Read activity, Dr. Jordan explores how learners can prompt AI to help them identify important vocabulary, define key terms, make connections to what they already know, understand why ideas matter, and generate questions that check their understanding.

The episode also examines an important boundary: AI should support the reading process, not replace it. Learners remain responsible for reading the source material, evaluating AI's explanations, protecting private or restricted information, and doing the thinking necessary to build their own understanding.

Because strong readers don't need to have all the answers.

They remain curious enough to keep asking better questions.

In this bonus episode of the Black-Liberation.Tech podcast, we take a look at Hope + Clarity + Possibility, Dr. Renée Jordan and Laura Spale, host of "The Clarity Lens" podcast, explore uncertainty, reinvention, career pivots, identity, and the pressure to have life figured out. Through personal stories and reflection, they consider how curiosity, movement, and thoughtful use of AI can help us navigate seasons when the next step is not yet clear.

You don’t need the entire roadmap. Sometimes you just need enough clarity to take the next thoughtful step.

What happens when the workshop ends—but you stay for the credits?

In this introductory episode of the Black-Liberation.Tech podcast’s AI for Academic Success series, Dr. Renée Jordan introduces the AI for Academic Success: Homework Help Lab workbook—an “Easter egg” originally created for learners who reached the end of the AG-STEM Career Exploration workshop.

Learn how the workbook was developed through instructional design, research, contributor insights, and collaboration with generative AI tools. Dr. Jordan also discusses its Creative Commons Attribution-NonCommercial license, introduces Janiyah GPT as an AI learning companion, and explains how to use the workbook.

Most importantly, this episode establishes a principle that will guide the entire series: AI is a thinking partner, not a replacement.

AI can help learners understand difficult concepts, ask questions, organize information, practice skills, and receive feedback—but curiosity, judgment, creativity, lived experience, and voice remain with the learner.

The goal isn't simply to finish faster.

The goal is to learn.

What if choosing a career isn't just about what you want to do—but about the problems you want to help solve?

In this episode of the Black-Liberation.Tech Podcast, we continue our Ag-STEM Career Discovery Lab Walkthrough with Step 8: Community Impact Challenge.

Career exploration is about more than finding a job.

It is about discovering how your interests, talents, and future career can contribute to your community and help solve real-world challenges.

In this episode, we explore how Ag-STEM careers can address issues such as food insecurity, environmental justice, climate resilience, community health, and economic opportunity in underserved communities.

Using examples such as Community Food Systems Planner, Public Health and Agricultural Data Scientist, and Community Resilience Planner, we examine how professionals combine science, technology, agriculture, data, policy, and community engagement to create positive change.

Listeners will learn how to:

• Connect personal interests to community needs

• Explore careers that create social impact

• Understand how Ag-STEM careers improve quality of life

• Examine the role of AI, technology, and data in community problem-solving

• Reflect on how their own skills and passions can contribute to a better future

Most importantly, this episode encourages learners to see themselves not only as future professionals, but also as future problem-solvers, innovators, advocates, and community leaders.

Reflection Questions:

• Which community challenge interests you most?

• How might your talents help address that challenge?

• What role could you imagine yourself playing?

• How could technology support your efforts?

• What impact would you like your future career to have on your community?

Because career exploration is not only about what you do.

It is also about who you help and the difference you make.

Explore the Black-Liberation.Tech Ecosystem:

• Access the Free Open Educational Resource (OER): Black-Liberation.Tech
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Becoming a Critical Consumer of AI Information

What if the most important AI skill isn't learning how to get an answer—but learning how to determine whether the answer should be trusted?

In this episode of the Black-Liberation.Tech Podcast, we continue our Ag-STEM Career Discovery Lab Walkthrough with Step 7: Verify Then Trust.

Artificial Intelligence can be a powerful thinking partner, but it is not perfect. Strong AI users understand that every response should be evaluated, questioned, and verified before being accepted as accurate.

In this episode, we explore how learners can critically evaluate information generated by AI while researching careers, educational pathways, emerging technologies, and social issues.

Using the example of Community Resilience Planning, we examine how AI responses may contain limitations, omissions, biases, simplified explanations, or incomplete perspectives. We discuss why it is important to compare AI-generated information with trusted sources, including government agencies, universities, research institutions, and professional organizations.

Listeners will learn how to:

• Identify potential limitations in AI responses

• Recognize bias, omissions, and incomplete perspectives

• Verify information using .gov and .edu sources

• Compare multiple viewpoints and sources of evidence

• Ask stronger follow-up questions

• Develop habits used by researchers, scholars, scientists, and informed citizens

Most importantly, this episode emphasizes that AI literacy is not about blindly trusting technology. It is about learning how to think critically, evaluate evidence, and make informed decisions.

Reflection Questions:

• Did the AI response include multiple perspectives or only one?

• What information should be verified independently?

• What details were missing or underrepresented?

• How did comparing sources change your understanding?

• What questions would you ask next?

Because responsible AI use begins with curiosity, critical thinking, and verification.

Remember:

Trust is not automatic.

Trust is earned through evidence.

Explore the Black-Liberation.Tech Ecosystem:

• Access the Free Open Educational Resource (OER): Black-Liberation.Tech
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The Future Is Built One Step at a Time

What if the most important part of career exploration isn't choosing a career—but choosing your next step?

In this episode of the Black-Liberation.Tech Podcast, we conclude our Ag-STEM Career Discovery Lab Walkthrough with Step 9: Choose Your Next Step.

Career exploration is not about having all the answers.

It is about taking meaningful steps toward learning, growth, and discovery.

Throughout this series, we explored careers, educational pathways, role models, workplace environments, AI literacy, community impact, and the future of work. Now it is time to put that learning into action.

In this episode, we explore practical next steps that students can take over the next two weeks, including:

• Researching a college major

• Comparing universities and programs

• Interviewing professionals

• Joining a STEM or Agriculture organization

• Creating a portfolio project

• Learning a new skill

Listeners will learn how small actions can create momentum and help transform interests into opportunities.

Most importantly, this episode reminds us that career pathways are rarely linear. Many of today's emerging opportunities exist at the intersection of agriculture, technology, community needs, sustainability, artificial intelligence, and innovation.

Reflection Questions:

• Which next step feels most exciting?

• Which next step feels challenging?

• What strengths can you bring to that experience?

• What would success look like two weeks from now?

• How might this action help shape your future pathway?

Because exploration becomes meaningful when it leads to action.

And every journey begins with a single step.

Explore the Black-Liberation.Tech Ecosystem:

• Access the Free Open Educational Resource (OER): Black-Liberation.Tech
• Join the Patreon Community for Exclusive Coaching: patreon.com/BlackLiberationTech
• Partner with Jordan Nuance LLC for Your Organization: jordan-nuance.com

What if the difference between curiosity and confidence is being able to see yourself in the role?

In this episode of the Black-Liberation.Tech Podcast, we continue our Ag-STEAm Career Discovery Lab Walkthrough with Step 6: Visualize the Role.

Career titles often sound interesting, but they can also feel distant and difficult to imagine. What does an Agricultural Drone Operations Specialist actually do every day? What tools does an Urban Agriculture Manager use? What does the workspace of a Product Designer or Residential Architect look like?

In this episode, we explore how AI image generation can help transform abstract career titles into visual experiences that support deeper learning, reflection, and career exploration.

Using examples from agriculture, technology, design, engineering, sustainability, and interdisciplinary careers, we discuss how learners can use AI to create visual representations of professionals at work, examine the tools and technologies they use, and better understand the environments where these careers take place.

More importantly, we explore the questions that come after the image is generated:

• What surprised you?

• Did the image match your expectations?

• Who was represented?

• Who was missing?

• How might your own experiences, talents, and interests connect to this role?

This episode encourages listeners to use AI not simply as a content generator, but as a thinking partner for career discovery, self-reflection, and expanding what is possible.

Whether you are exploring Ag-STEAm careers, STEM pathways, creative technology fields, public service careers, or interdisciplinary professions, visualization can help turn curiosity into clarity.

Reflection Questions: • What surprised you most about the career visualization? • How did the image challenge or reinforce your assumptions? • What tools, technologies, and skills were represented? • Who was visible in the image, and who was absent? • How might you redesign the image to better reflect your own community and experiences?

Because sometimes seeing a possibility is the first step toward becoming it.

Explore the Black-Liberation.Tech Ecosystem:

• Access the Free Open Educational Resource (OER): Black-Liberation.Tech
• Join the Patreon Community for Exclusive Coaching: patreon.com/BlackLiberationTech
• Partner with Jordan Nuance LLC for Your Organization: jordan-nuance.com

In this episode of the Black-Liberation.Tech Podcast, we continue our Ag-STEAm Career Discovery Lab Walkthrough with Step 5: Trace the Legacy & Expand the Story.

Community resilience is often described through plans, policies, infrastructure, and emergency management systems. But behind every resilient community are people whose vision, advocacy, research, leadership, and innovation helped create pathways for others.

Together, we explore the stories of remarkable women whose work has shaped how communities prepare for challenges, recover from crises, and build stronger futures. We highlight leaders including Dr. Beverly Wright, Majora Carter, Dr. Mona Hanna-Attisha, Dr. Danielle N. Lee, Carmen Yulín Cruz, Dr. Karen Washington, and Vanessa Nakate.

Through their stories, we examine how environmental justice, food security, public health, climate adaptation, community engagement, and equitable recovery have become essential components of modern community resilience planning.

Listeners will discover how these women used research, advocacy, entrepreneurship, science, and leadership to address community needs, expand opportunities, challenge systemic barriers, and inspire future generations.

Whether you are exploring careers in community resilience, environmental planning, public health, technology, policy, sustainability, or AI literacy, this episode invites you to reflect on how your own talents, values, and lived experiences can contribute to stronger and more resilient communities.

Reflection Questions:

• What surprised you most about these women's stories?

• Which leader's journey resonated with you and why?

• How did these women use their knowledge to serve communities?

• How might their experiences influence your own educational or career pathway?

Because every career has a story—and every learner has the potential to become part of the next chapter.

Explore the Black-Liberation.Tech Ecosystem:

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Context, Purpose, and Follow-Up Questions

In Part 4 of the Ag-STEM Career Discovery Lab series, Dr. Renée Jordan explores one of the most important concepts in AI literacy and prompt engineering:

Why do some prompts produce more useful responses than others?

Listeners compare a simple prompt with a more detailed prompt and discover how context, interests, goals, and purpose help Janiyah GPT provide more personalized career suggestions.

The episode also introduces Step 4 of the Ag-STEM Career Discovery Lab: Investigate Further.

Students learn how to move beyond initial career suggestions by asking follow-up questions that uncover educational pathways, certifications, internships, apprenticeships, volunteer opportunities, and skill-building experiences.

Along the way, Dr. Jordan introduces an important research habit:

Strong researchers rarely stop after the first answer.

They continue asking questions, exploring possibilities, and seeking deeper understanding.

By the end of this episode, students will understand how stronger prompts and thoughtful follow-up questions can transform AI into a powerful research and career exploration tool.

Part of the Black-Liberation.Tech Ag-STEM Career Discovery Lab series.

Explore the Black-Liberation.Tech Ecosystem:

• Access the Free Open Educational Resource (OER): Black-Liberation.Tech
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In Part 3 of the Ag-STEM Career Discovery Lab series, Dr. Renée Jordan demonstrates what happens after you submit your Career Discovery Prompt to Janiyah GPT.

Using interests in technology, artificial intelligence, design, helping people, community impact, and AI literacy, Dr. Jordan walks through the results generated by Janiyah GPT and reflects on three Ag-STEM career pathways:

• Agricultural AI Education Specialist • Community Resilience Planner • Global Food Security Specialist

Listeners will learn how AI can help identify connections between their interests, values, and potential career pathways. Along the way, Dr. Jordan models how to review AI-generated suggestions critically and thoughtfully rather than simply accepting them at face value.

This episode reinforces an important lesson:

AI is not choosing your future. AI is helping you explore possibilities.

By the end of the episode, students will better understand how strong prompts can generate personalized career recommendations and how reflection can help them identify pathways that align with their goals, interests, and communities.

Part of the Black-Liberation.Tech Ag-STEM Career Discovery Lab series.

Explore the Black-Liberation.Tech Ecosystem:

• Access the Free Open Educational Resource (OER): Black-Liberation.Tech
• Join the Patreon Community for Exclusive Coaching: patreon.com/BlackLiberationTech
• Partner with Jordan Nuance LLC for Your Organization: jordan-nuance.com