Black-Liberation.Tech

What happens when we move beyond asking AI to explain something and begin creating and testing our own connections?

In this episode of AI for Academic Success, Dr. Renée Jordan introduces the revised Module 2, Help Me Learn Through My Interests, which now emphasizes analogies instead of metaphors.

We explore how learners can connect new academic concepts to their interests and prior knowledge, map relationships between ideas, identify where comparisons break down, and test their understanding without relying on AI-generated explanations.

Through the Try It Like Dr. Ellen Ochoa activity, learners practice a five-step process: Choose → Build → Map → Test → Explain.

The goal is not simply to make difficult concepts easier. It's to help learners become more confident, independent thinkers who can explain what they've learned in their own words.

AI for Academic Success: Create, Question & Explain with Confidence

How do you know whether you truly understand something you've learned?

In Part 4 of the AI for Academic Success Module 2 walkthrough, Dr. Renée Jordan explores the Scholar Reflection, Learning Connection, and Try It Like Dr. Ellen Ochoa activity.

Using the original metaphor-centered workbook, we examine how students can connect academic concepts to their interests, create their own comparisons, evaluate AI feedback, recognize misconceptions, and teach what they've learned to someone else.

The goal isn't simply to receive an explanation from AI. It's to build, question, and communicate your own understanding while keeping academic vocabulary and human judgment at the center.

AI for Academic Success: Exploring Excellence, Creativity & Problem-Solving

What can we learn from how accomplished women think—not just what they accomplished?

In Part 3 of the Module 2 walkthrough of AI for Academic Success, Dr. Renée Jordan explores Janiyah GPT's response to an Excellence Exploration featuring Dr. Ellen Ochoa, Katherine Johnson, Dr. Adriana Ocampo, Dr. Antonia Novello, Dr. Ainissa Ramirez, and Dr. Helen Rodríguez-Trías.

Their stories reveal different approaches to learning and problem-solving: connecting disciplines, asking questions, recognizing patterns, communicating complex ideas, storytelling, and systems thinking.

The episode invites learners to consider a new question:

Are you naturally a question-asker, pattern-finder, storyteller, connector, teacher, or problem-solver?

AI for Academic Success

Can a gaming metaphor make the chemistry of photosynthesis easier to understand—without simplifying away the science?

In this episode of AI for Academic Success, Dr. Renée Jordan tests the Module 2 prompt with Janiyah GPT. Starting with a biology learner who understands the big idea of photosynthesis but struggles with the chemistry inside the chloroplast, the prompt asks AI to connect the concept to gaming.

We examine how Janiyah uses game levels, energy meters, and crafting systems to explain light-dependent reactions, ATP, NADPH, the Calvin cycle, and carbon fixation—while preserving academic vocabulary.

The larger question: Can AI connect what learners already know to what they are learning without replacing the learning itself?

AI for Academic Success

What if something you already know could help you understand something completely new?

In this episode of AI for Academic Success, Dr. Renée Jordan begins the Module 2 walkthrough with Amara, a creative learner struggling to understand atoms until she connects the science to something familiar: painting.

From there, we explore how learners can use their interests, experiences, and prior knowledge as resources for learning. Dr. Jordan also walks through the original Module 2 prompt, designed to help students ask AI for explanations connected to their interests while preserving academic vocabulary and learner responsibility.

We examine the prompt in this episode. Testing it with AI comes next.

AI Can Help You Read—But It Can't Do the Thinking for You

What happens after AI explains a difficult reading?

In this episode of AI for Academic Success, Dr. Renée Jordan completes the Module 1 walkthrough by exploring Janiyah GPT's response to Ashley's Excellence Exploration, featuring Latinas, Afro-Latinas, and Black women whose reading, research, curiosity, scholarship, and lifelong learning contributed to discovery, leadership, and community change.

Then, the focus shifts away from prompting AI and back to the learner.

Through the Scholar Reflection, Learning Connection, and “Try It Like Dr. Shirley Ann Jackson” activity, we explore active reading, noticing confusion, creating a Reading Reflection Log, asking AI for targeted support, checking understanding, and reflecting on growth.

The central lesson: AI can support the reading process, but reading is still thinking—and that thinking belongs to you.

What happens when moving forward starts to feel like leaving parts of yourself behind?

In this bonus Episode 2 of the Hope + Clarity + Possibility crossover, Dr. Renée Jordan and Laura explore belonging, masking, perfectionism, invisible labor, and the pressure to edit ourselves to succeed. They reflect on the difference between adapting to a space and shrinking to fit it—and why our creativity, culture, lived experiences, and seemingly unrelated interests may be strengths rather than distractions.

Because belonging should not require becoming unrecognizable to yourself.

What can the lives and work of accomplished women teach us about becoming stronger learners?

In Part 5 of the AI for Academic Success Module 1 walkthrough, Dr. Renée Jordan continues the conversation with Jasmine and Janiyah GPT through an Excellence Exploration.

This time, AI is prompted to identify Latinas, Afro-Latinas, and Black women whose reading, research, scholarship, scientific inquiry, writing, and lifelong learning contributed to discovery, innovation, leadership, education, and community change.

The exploration introduces Dr. Shirley Ann Jackson, Ellen Ochoa, Dr. María Elena Bottazzi, Dr. Marta Moreno Vega, Dr. Alexa Canady, and Dr. Mae Jemison and considers the learning habits that may have supported their work.

But the purpose isn't simply to generate a list of accomplished women.

It's to ask a more meaningful question:

What can learners take from their approaches to curiosity, careful reading, research, questioning, critical thinking, and lifelong learning—and practice in their own lives today?

This episode explores how AI can support culturally responsive learning by helping students make connections between the academic skills they are developing now and people who have used those skills to expand knowledge, challenge barriers, serve communities, and create new possibilities.

AI for Academic Success

What happens when the challenge isn't finding information—but figuring out what matters?

In this episode of AI for Academic Success, Dr. Renée Jordan continues testing the Module 1 tutoring prompt through Jasmine, a composite learner navigating a digital literacy course and the very real challenge of information overload.

Using a passage about digital literacy, online information, privacy, and responsible technology use, we examine whether AI can do more than summarize. Can it explain ideas clearly, build useful connections, introduce vocabulary, and ask questions that strengthen a learner's own understanding?

Along the way, we explore an important tension: AI can help organize information, but it can also become one more source of information to manage.

The goal isn't to have AI do the learning. It's to see whether thoughtful prompting can help a learner move from more information to better understanding—while keeping the learner responsible for questioning, evaluating, and deciding.

How to use AI for academic success; using ChatGPT as a tutor not an answer machine; AI and information overload for students; how students can evaluate online information; digital literacy and artificial intelligence; responsible AI use for students; using AI to understand difficult concepts; how to use ChatGPT without replacing learning; AI tutoring and critical thinking; managing too much information online

AI as a Reading Coach: Putting the Homework Help Lab to the Test | AI for Academic Success

What happens when we move from talking about responsible AI use to actually putting it into practice?

In this episode of the Black-Liberation.Tech Podcast, Dr. Renée Jordan begins a test run of the AI for Academic Success: Homework Help Lab by stepping into representative learner perspectives from the Black-Liberation.Tech ecosystem.

Using Ashley's composite learning scenario, we explore an AP Environmental Science prompt focused on environmental justice, community health, climate change, and fairness. Rather than asking AI to summarize a reading or provide an answer, the prompt positions AI as a reading coach—helping the learner unpack vocabulary, make connections, consider why a concept matters, and check her own understanding.

Along the way, we explore a larger question at the heart of AI literacy:

Can AI help us understand something more deeply without doing the thinking for us?

This episode demonstrates what it can look like to use AI as a tutor and thinking partner—not a replacement for reading, reasoning, curiosity, or learner judgment.

Ashley and Jasmine represent composite learning scenarios created for educational demonstration. They are not real student records or graded assignments.

How to use AI to understand difficult readings; using AI as a tutor instead of an answer machine; AI reading comprehension prompts for students; responsible AI use for homework; environmental justice AP Environmental Science; using ChatGPT for studying without cheating; culturally responsive AI literacy