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.

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

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 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

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.