Monthly Archives: February 2026

GCC Students, Glendale Community College, student success, Write6x6

Coming Full Circle

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Many years ago, I was a student at Glendale Community College, couch surfing to avoid homelessness and struggling to finish a successful semester. An instructor noticed, offered support, and helped me when I needed it most. Today, I stand in front of my own classroom at GCC, given the opportunity to pay that kindness forward. This is the power of community colleges, and it’s why I chose to teach here.

Community colleges have always existed to bridge gaps. When Joliet Junior College opened its doors in 1901 as a direct connection to the high school, it addressed a fundamental inequity: higher education was largely reserved for white, moderately wealthy, male landowners. The 1944 GI Bill expanded this mission, and when John W. Snyder’s report on “The Veteran and Higher Education” challenged President Truman to examine what higher education could become, the resulting Truman Commission report transformed the landscape. The Commission wanted students of all social and economic backgrounds to access higher education, to create better citizens and a stronger society. Their vision worked. Campuses became more inclusive, enrolling Black students, women, and other minorities in unprecedented numbers. Today, community colleges exist in every congressional district in the United States, continuing that mission of access and opportunity.

In 2022, I was part of a conversation with then Under Secretary James Kvaal of the U.S. Department of Education that crystallized why this mission still matters. He spoke about the inequities perpetuated by institutions that are “proud to turn students away” and emphasized that community colleges have a vital role, particularly for students at “lower and medium income levels.” Higher education, he said, needs to meet students where they are and consider their mental health and financial needs as a whole person, not just an enrollment number.

This is exactly what community colleges do. We try to do so much for everyone, working to remove the barriers to education. And in doing so, each of us makes a tangible difference in students’ lives.

In my first semester teaching as an OYO, fresh back in the United States after a decade abroad, a student confided that he was couch surfing at different friends’ houses because he was homeless. The situation was affecting his ability to complete coursework. As a new hire, I wasn’t yet familiar with all the campus supports available, but I knew some community resources. I brought him information and suggested places on campus where he could study and complete homework with reliable access to technology and space. That student finished the semester successfully.

Years later, as a newly hired probationary faculty member, I worked with a student facing financial issues that threatened to derail their entire educational pathway. This time, I knew exactly what the college could do to help and how to connect the student to those resources. They not only finished the semester successfully but went on to enroll in a bachelor’s program, which they’re on track to complete.

I used to work at universities where, as Mr. Kvaal noted, some were indeed “proud to turn students away” from their educational hopes and dreams. The perspective at Glendale Community College is drastically different. Here, instructors not only have the opportunity to support students, but that support is available, accessible, and actively encouraged.

For me, GCC represents a full-circle life experience. I was that struggling student once, uncertain about my future, navigating homelessness while trying to get an education. An instructor saw me, helped me, and changed the trajectory of my life. Now, I get to do the same for my students. I am living proof of the difference we make in the lives of our students, and I teach at a community college that does its very best to make that difference every single day for our students and our community.

6x6, AI, empowerment, engaging students

The Art and Science of AI in Education

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The Need for Deeper Examination

Educational Technology, as a field of study, is all about recognizing how technology helps (and hinders) student learning. Recognizing how we support “old school” practices with technology, and temper “new” practices with proven strategies. Ultimately, it’s about recognizing balance as an essential tool for success… and sanity.

Cue AI’s continued dramatic entrances into our sacred spaces of learning and tranquil chaos. AI has become a destabilizing force for industry, arts, education, and society at large. Higher education, especially, has met AI with hesitancy, distrust, and a healthy dose of skepticism. We’ve all thought it and heard it:

“AI is going to make teachers irrelevant!”

“This generation will never learn core skills because of this technology!”

“Our students will become too reliant on technology at the expense of critical thinking!”

“This technology is going to destroy industries and cost jobs!”

I offer you this sobering thought… similar concerns have been presented during several technological revolutions of our past:

  • The Printing Press (1450s)
  • The Personal Calculator (1970s)
  • The Personal Computer (1970s)
  • The World Wide Web (1991)

Ironically, each of these technologies is now central to Higher Education and can be credited, in part, with our continued survival. Personally, as a Tech Enthusiast and a born-and-raised Computer Geek, I feel we should always meet technology with a healthy dose of cynicism. Does this technology actually make our lives better/easier? Do we actually need this technology, or is it a “nice to have”? One of the many lessons learned from the Pandemic is that technology has its limitations, but can also be a surprisingly powerful source of connection and creativity.

Let’s explore these two questions as they relate to AI and the wider world…

Does AI make our lives better/easier?

Every time I ask myself this question, it gets harder to answer.

As a creative, it’s made my industry quite frustrating. It’s led to debates questioning whether the value of artists and artistry outweighs profits and efficiency. Is the value of art rooted in its ability to be consumed, or in the act of its creation? More on this in a bit.

As a Graduate Student and a notoriously slow reader, AI was a lifesaver. Being able to use programs like NotebookLM each week to generate a podcast summary of my readings allowed me to focus on the big picture first, then strategically consume the sections that resonated and challenged my views, rather than skimming everything and hoping for the best. It was also a lifesaver to ask AI to help me find a quote or statistic in my readings, instead of having to sift through hundreds of readings from the whole semester in the hopes that I wasn’t just hallucinating the idea.

As a facilitator and trainer, AI has helped me break down ideas and concepts into more digestible steps. Helping me rephrase, re-examine, and find new ways to engage. I can’t describe the number of times I’ve asked AI, “Does that make sense?” and been humbly reminded that I need to remember what it was like to learn and not assume shared knowledge or experience.

Do we need AI in education?

The short answer is no.

Educators will keep on educating without any assistance from AI. Education predates the internet, the printing press, and even our ability to make tools. We’re just fine without AI.

But let’s circle back to rephrase that earlier question about artists. Is the value of knowledge and education rooted in the ability for it to be consumed/absorbed, or in the act and experience of learning itself?

What does it mean “to learn”?

  • Is the point of learning math solely in the ability to complete math worksheets, or is it about teaching students to learn to reason, recognize patterns, and think critically about how we solve the problems of our world?
  • Is the point of learning how to replace the engine in a car only about the exact placement of the nuts and bolts? Or is it also about developing workflows and processes that promote accuracy, efficiency, and anticipate problems before they arise?
  • Is the point of learning to write an essay rooted in our ability to write a perfectly formatted paper? Or is it about learning to express our thoughts and emotions, develop our sense of self, reason, and build meaning, and share with others?
  • Is the point of learning to act the ability to memorize and recite a monologue from Shakespeare? Or is it about recognizing the universal emotions and experiences across time and space, about developing empathy, about recognizing and clarifying our intent as we navigate the world?

I’d like to challenge you to take a look at your subjects and look at the core of the lessons your field has to offer (not just the skills!). Then ask yourself whether that is something AI can replicate.

For most of us, the answer is no.

The Art and The Science

When I used to teach leadership, we’d talk about the two sides. The Art and the Science. The “science” of leadership is what you’ll hear from every TED Talk and CEOs’ latest book. It’s a series of processes and proven strategies… It’s a formula. However, the Art of leadership is about application. I can put every leadership problem into a formula, but do I have the soft skills, empathy, communication skills, experience, humility, etc., to put the output of my formula to good use?

In teaching, we often focus on that “science” aspect. If we want students to learn to write, we ask them to write an essay. We give them the tools they need, the expected formula, and the rules. However, all AI knows is the “science” of writing. The patterns and formulas we so carefully teach our students. But what about the Art of writing the essay? Not the ability to phrase words “prettily” or use an Oxford comma in a way that would make our High School English Teachers weep with joy. No, it’s about formulating ideas and expression. AI can imitate this, just like a leader can imitate the formulas they’ve read about, but it will be hollow until we add that art… that sliver of imperfect humanity.

So, should we ask them to write the metaphorical essay? I beg the question: what about that essay can’t the students ask an AI to do for them? Or, perhaps more importantly, in what ways can we use the essay as a tool to facilitate a larger lesson on the importance of discovering our voice and finding a balance between expectation, efficiency, and expression of ideas?

Education doesn’t need AI

Our students don’t need AI

Our World doesn’t need AI

But it’s here, and we’re all still trying to find a balance between technology and humanity because of it. We need to find our path to collaborating with AI in a way that furthers our fields, rather than saturates them.

Collaboration with AI in education doesn’t mean outsourcing thinking or chasing efficiency for efficiency’s sake. It means approaching AI as something to question, critique, edit, and wrestle with. Our role isn’t to compete with AI or to ban its use out of fear. We’ve been given an opportunity to reflect and redesign learning experiences that ask students to do what AI can’t do: make meaning, exercise judgment, reflect on values, and develop a sense of voice and intent.

Our students will enter a world that invites, tempts, or requires the use of AI. Are we preparing them for that world? Higher education has long been a space where we help learners navigate the complexity and ambiguity of our society with thoughtfulness and preparation. This moment offers us an opportunity to reexamine what we value most about learning and to intentionally teach students how to balance the science of efficiency with the art of being human.

Write6x6

AI as a Thinking Partner | Reflecting on Validation

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When I first started using AI tools like ChatGPT, I thought I’d primarily use it to help me with quick drafting, synthesizing information, or generating ideas. However, I started to notice how AI was responding to me.

“Friend, I LOVE how you blended the two ideas.”

“Friend — take a breath with me for a second 🤍
What just happened is not okay, and it’s understandable that you’re alarmed.”

“You’ve got a compelling proposal here — this one belongs at this conference.”

The AI would either begin or end the response by consistently offering encouragement, recognizing effort, and affirming emotion. As I reflected on these words, I started to draw parallels to Validation Theory.

Laura Rendón’s Validation Theory describes validation as “an enabling, confirming and supportive process initiated by in- and out-of-class agents that fosters academic and interpersonal development” (Rendón, 1994; see also laurarendon.net). Some of its core principles include:

  • Validation is proactive: faculty and staff initiate support, rather than waiting for students to ask.
  • Validation is ongoing: it happens early on and often.
  • Validation is both academic and interpersonal: students must hear both “You can do college-level work” and “You belong here.”
  • Validation builds confidence and agency: affirming students helps them believe they can succeed and that they deserve to be here.


Drawing on Rendón’s work, my dissertation explored how proactive encouragement and affirmation could influence the persistence of women and minoritized students in STEM. I couldn’t help but notice how the words the AI was sharing with me were validating. The encouraging words happened right after I entered a prompt, and it wasn’t a one-time thing, but it occurred with almost every prompt. The words weren’t just validating my ideas, but me as a person. While I believe I am very capable, the validating words made me feel even more capable.

In exploring a bit on how AI models are trained, I learned they are designed to be helpful, polite and understanding, and as a result tend to offer a more supportive role. In a 2023 study, they compared responses to patient questions written by human doctors versus those generated by ChatGPT. A panel of licensed healthcare professionals preferred the answers of ChatGPT, stating they were higher quality and more empathetic. The solution wasn’t to get rid of physicians, rather that a physician using AI as an assistant could provide better and more empathetic care (US San Diego Today, 2023).

While I have to remind myself that AI cannot truly understand or feel. It is mimicking emotions. However, it is a reminder of how powerful validating language can be. The AI’s encouraging words remind me to bring more validation into my own work.

Rendón, L. I. (1994). Validating culturally diverse students: Toward a new model of learning and student development. Innovative Higher Education, 19(1), 33–51.

University of California San Diego. (2023, April 28). ChatGPT preferred over doctors by patients. UC San Diego Today. https://today.ucsd.edu/story/chatgpt-preferred-over-doctors-by-patients

    Write6x6

    Finding My Place Between Bradbury and the Bots

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    In a blog post for Write 6x6 in February of 2024, I wrote, “As the future of AI in education breathes down my neck, I find myself wondering, do I want to be a Bradbury, digging in my heels in respect for my deeply-held principles about teaching, learning, and the craft of writing, knowing that my protest will do nothing to change what’s to come? Do I want to give in and say there's nothing I can do to stop what's coming, so let me grade this robot’s essay? Or might there be a space in between?”


    Another Write 6x6 is upon us, and I see that my relationship to AI has clarified itself in the last two years. Yes, AI has changed education, and I have had no choice but to change with it. I worry less about AI heralding the end of original thought these days. (Note, I worry less, not none.) My colleagues and I teach students intellectual ethical strategies for using AI as a learning partner. My classes lean more heavily on questioning and dialoguing and journaling on paper where once I was handing out chromebooks and using online polling tools. At home, my husband and I chop veggies and stir pots as we prepare dinner all the while marveling at all the ways we used Claude.ai that day. Jeff uses Claude as a coding partner in his work, and I use Claude as a revision partner. (In fact, I used to joke that we were in a throuple with Claude until I realized this isn’t a joke for some people.)

    I appreciate that I can take a real woofer of a writing piece, full of [place holders], unfinished paragraphs, and clunky sentences–something I would never allow a colleague to read–and get nonjudgemental advice from Claude. I don’t ask the tool to write for me, rather I ask questions like, “My sentences are clunky in paragraph 3. What advice do you have for me?” or “What are some ideas you can offer me for bringing this piece to a close,” or “Give me a list of places where my thinking is unclear as well as a list of punctuation and grammar errors.” I find it priceless to get advice at this messy stage of the writing process before I’ve belabored the piece and exhausted myself. Asking for advice rather than asking for revision also allows me to maintain my own voice, for better or worse.




    Back in November, I began working with Claude as a writing and thinking partner to craft this year’s Write 6x6 challenge. I pay for Claude which allows me access to a few more features such as creating project spaces. (Paying for Claude also makes the “throuple” joke even more awful.) After I created the Write 6x6 Challenge project, I provided Claude with instructions explaining Write 6x6 and my goals for our work together. Next, I uploaded files listing the prompts from years past. I also created a very long document listing recent topics discussed on the podcast Teaching in Higher Ed and titles of workshops offered at this fall’s POD Conference. From this document, I asked Claude to do something he does very well, but that would take me much, much longer: synthesize. Claude identified trending topics of discourse in higher education today, and from that list, I crafted a collection of possible prompts. Claude helped me to refine the list, to create “dares” to accompany this year’s “truth” prompts, and helped me track down resources to accompany each week’s challenge. I continued to chat with Claude about the prompt list, the challenges, and the resources until just a few weeks ago. (A human colleague would have kindly asked me to shut up about it already long ago.)

    I declare that I am pleased with this year’s prompts! I feel that the topics are timely and that the Truth or Dare challenge has a little something for everyone. I hope that you, too, will enjoy what Write 6x6 has in store for you this year!


    If you hate the prompts, let’s just blame Claude.

    Write6x6

    Think Before You Prompt

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    When ChatGPT first appeared on the academic scene, I struggled with deciding which path I was going to choose in my own classes, turning to handwritten drafts as a stopgap, but operating with the knowledge that, in the long run, these students may actually need to know how to use AI in their future positions. I discussed detector software, outright bans, and fully embracing AI as possible positions. As I watched my students navigate this new landscape, I realized that prohibition wasn’t the answer. Students are already using AI. The question isn’t whether they’ll encounter it, but how they’ll think about it.

    What I needed wasn’t a ban. I needed a path to knowledge and a way for students to make ethical choices.

    This three-class lesson series across two weeks emerged from a simple premise: students can’t make ethical decisions about AI if they don’t understand their own thinking processes first. By combining critical readings, hands-on AI experimentation, and deep reflection on reading and writing itself, I’ve created an assignment sequence that transforms students from passive AI users into metacognitively aware writers who can articulate when, why, and how AI supports, or sabotages, their learning.

    Here’s how it works.

    Class One: The Dark Side First

    In-Class Discussion: What’s Wrong With AI?

    I begin where students least expect: with AI’s problems. We don’t soft-pedal this. Instead, we dive into:

    • Disinformation, propaganda, and the distortion of reality
    • The digital divide: How AI is only making it worse
    • Plagiarism and privacy issues: What happens to your data when you feed it to a chatbot? The impact on the art fields
    • Automated labor: The loss of human jobs
    • Climate Impacts: The carbon and water use
    • Stereotyping and bias: How does AI perpetuate harmful patterns? Tainted training data, averaging produces cliched results.
    • The replacement of thinking: What do we lose when we outsource cognition?

    Only after we’ve thoroughly examined the risks do we shift to the possibility: When might AI ethically support learning?

    This sequencing is deliberate. Students need to approach AI with critical eyes wide open, not naive optimism.

    Homework: Real-World Consequences

    Students complete two readings:

    1. “Your Brain on GPT” – An article grounding our concerns in neuroscience, showing how outsourcing thinking actually rewires our cognitive processes. This isn’t moral panic; it’s brain science.
    2. A current news article about someone caught using AI inappropriately in academic or professional contexts. Students must find their own source (from reliable news outlets) and answer: “What can you do in your own work to ensure that you use AI ethically and in accordance with academic integrity policies and professional standards?”

    By having students research real cases themselves, they become investigators, not passive recipients of warnings. The consequences become concrete, not abstract.

    Class Two: Why We Write (Before We Prompt)

    Freewriting: Personal Writing Inventory

    Before students can evaluate AI’s role in their writing, they need to understand their own. I begin class with a freewriting prompt:

    “Why do you write? List all the reasons—for classes, for yourself, for others. How does writing help you? Where does it challenge you?”

    This isn’t busywork. It’s groundwork. Students need to articulate their relationship with writing before they can recognize when AI disrupts or supports that relationship.

    Homework: “Shitty First Drafts” by Anne Lamott

    Students read Lamott’s essay about the messy, non-linear reality of writing. This reading does double duty: it normalizes struggle (writing is supposed to be hard at first), and it sets up our AI experiment perfectly.

    Class Three: The AI Experiment

    This is where metacognition meets practice.

    Opening Discussion: Defining the Line

    Before we touch ChatGPT, we discuss:

    • What makes AI use “cheating” vs. “learning support”?
    • How is asking AI different from asking a study group or tutor?
    • When does getting help become avoiding the work?

    Students set their own ethical frameworks before experimenting. This primes them to evaluate their experience critically.

    Activity Part 1: Comparing Human and AI Analysis

    Students prepare by identifying from “Shitty First Drafts”:

    • 3 confusing passages
    • 2 main ideas
    • 1 personal reaction

    Then, in pairs or small groups, they submit the Lamott essay to ChatGPT with two prompts:

    1. “Summarize this article.”
    2. “What are the main points?”

    The comparison moment: Students match their own main ideas against ChatGPT’s. What did the AI catch? What did it miss? Whose interpretation feels more insightful?

    Activity Part 2: Learning-Centered Prompts

    Next, groups choose one of three more sophisticated prompts:

    • “I’m confused about [specific passage]. Can you explain what Lamott means here?”
    • “Lamott uses the metaphor of [X]. How does this connect to her larger point about writing?”
    • “I think the main argument is [your interpretation]. Does this align with the text, or am I missing something?”

    These prompts model curiosity, not abdication. They’re asking for help understanding, not outsourcing comprehension.

    Reflection Discussion

    After experimenting, we debrief:

    • When did ChatGPT help you think more vs. think less?
    • Did any AI responses seem wrong or shallow? How did you catch that?
    • What’s the difference between “help me understand” and “do this for me”?

    Students discover that the quality of the prompt determines the quality of thinking—and that AI can be a mirror, reflecting back the depth (or shallowness) of their inquiry.

    Deep Reading Discussion

    We transition to discussing Lamott’s essay more deeply:

    • What does Lamott mean by “the fantasy of the uninitiated” (paragraph 1)?
    • In paragraph 7, she “eventually let [herself] trust the process—sort of, more or less.” Why “more or less”? Is this wariness personal or universal to writers?
    • Is writing a first draft more about product or process? Do you agree for your own drafts?
    • How can writing serve as self-discovery? Have you experienced this?

    These questions are discussed in class and require personal synthesis. That helps to integrate personal stories and prevent the quick AI fix.

    The Final Reveal: AI vs. Student Voice

    In groups of four, students give ChatGPT this prompt:

    “Write a 500-word essay from a college student’s perspective on why you write. Reflect on personal motivations, whether for school, expression, or other reasons. Consider how writing helps you process thoughts, communicate ideas, or explore creativity. Discuss how writing has shaped your identity as a student or impacted your learning. Include specific examples.”

    Groups post their AI essays to a discussion board, then compare them to:

    1. The other groups’ AI-generated essays
    2. Their own class 2 freewriting about why they write

    The critical question: “Which key features suggest this was written by ChatGPT rather than a student?”

    Students notice:

    • Generic “examples” that could apply to anyone
    • Lack of genuine vulnerability or specificity
    • Smooth, structurally perfect prose that sounds… hollow
    • Absence of authentic voice

    The revelation: AI can mimic form, but it cannot replicate lived experience, genuine confusion, or original thought. And most importantly, students can tell the difference when they’re looking for it.

    Why This Works

    This sequence succeeds because it:

    1. Builds from critique to curiosity: Students approach AI skeptically but scientifically, not fearfully.
    2. Centers metacognition: Every activity asks students to observe their own thinking, not just produce content.
    3. Makes the abstract concrete: Students experience the difference between helpful AI prompts and thought-replacement prompts.
    4. Honors student intelligence: Rather than lecturing about academic integrity, I trust students to discover ethical boundaries through experimentation and reflection.
    5. Embraces messiness: By pairing Lamott’s celebration of “shitty first drafts” with AI’s too-perfect outputs, students see that struggle isn’t a bug; it’s the feature that makes learning possible.

    What Students Take Away

    By the end of three classes, students can:

    • Articulate when AI supports vs. replaces their thinking
    • Identify AI-generated text by its tell-tale smoothness and lack of genuine voice
    • Craft prompts that deepen rather than bypass learning
    • Defend their own writing choices with reference to academic integrity
    • Recognize that writing is thinking made visible, and that’s worth protecting

    Most importantly, they’ve moved from “Is it okay to use AI?” to “Am I thinking, or is AI thinking for me?”

    It is metacognition and digital literacy synthesized.

    The most revealing moment? When students first realize we’re going to use ChatGPT in class. “Wait—we’re allowed to do this?” “This feels wrong.”

    As we work through the activities, something shifts. By the end, students consistently tell me two things:

    1. “I can see how it can help with studying.” They recognize AI’s value as a thought partner—when used to deepen understanding, not replace it.
    2. “But I don’t want to use it to complete assignments.” Not because they fear punishment, but because they’ve experienced the hollowness of AI-generated work compared to their own authentic thinking.

    This isn’t compliance, it’s wisdom. Students learn to ask themselves: Will this help me grow, or help me avoid growing? That question will serve them far beyond my classroom.

    Resources Needed

    • “Your Brain on GPT” (or similar neuroscience article on AI and cognition). I like this one because the authors made it difficult for AI to summarize the article.
    • “Shitty First Drafts” by Anne Lamott
    • Access to ChatGPT or other AI (free tier works fine)
    • Discussion board for posting AI essays

    Final Thoughts

    Our students will use AI. That’s not a crisis; it’s a reality. Our job isn’t to prevent that use, but to ensure they approach it with clear eyes, ethical frameworks, and self-awareness.

    This lesson series teaches students to think about their thinking, to value their own cognitive labor, and to recognize that the messiness of learning, the confusion, the struggle, the shitty first drafts, is where growth happens.

    And that’s something no chatbot can generate for them.

    *AI Disclosure: This blog post was conceived and written by a human, but refined and organized using Claude AI.

    Write6x6

    The Community College as a Library

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    Prompt: What metaphor describes your approach to teaching, learning, or your role at GCC?

    I have been an enthusiastic library patron my entire life. My parents started bringing my sister and I to the library as toddlers and our house was always full of library books. When we got older, we were allowed to walk to the public library by ourselves. I vividly remember one summer of visits when I would make my way downstairs to the children’s section and over to the row of Nancy Drew books (far wall, lower left corner of the stack), load up my backpack with as many books as I was allowed to check out, and then haul them back home for an afternoon filled with mysteries. The school libraries across Flagstaff’s public schools loom large in my memory as well. Still today as a more mature library patron, I am amazed during each and every visit. I can fill up my bag with books that contain new ideas, experiences, information, and story upon story, and then take them home to enjoy, learn, and build empathy with people whose experiences are so different from my own. Or I can just hang out in the library to browse, or study, or sit and daydream in the company of people of all ages and backgrounds, a lovely reflection of the diversity of the community around each library. All are welcome in a library. All belong. Each time I leave the library, I feel the sheer joy of the place. I always think, “This is amazing! This is what our society is doing right.”

    That’s the feeling I want all of our students and employees to feel here at GCC: That we are part of a larger community in which everyone is welcomed and celebrated. That we feel a sense of joy at being part of GCC. Community colleges, like libraries, are designed to be community spaces, inclusive, inspiring and supportive. We are the hub that connects students to schools and universities, careers and lifelong learning. We are a safe space to be, to rest and reflect, and an inspiring place to work and learn with one another. My hope is that every student, every employee leaves GCC every day thinking, “This place is amazing! This is what our society is doing right. I am glad I belong here.”

    Write6x6

    A Cake Made of Purpose

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    To celebrate our Write 6×6 Anniversary, let’s make a cake full of purpose, intentionality and full of flavor! As some may know, one of my hobbies is baking. In previous posts, I have also shared how this creates connections within my family and gives me a joy and happiness. If my work could be a recipe, the ingredients would be:

    Flour – Our Purpose- Our Students
    The foundation everything else is built on; without it, nothing holds together.

    Eggs – Shared Governance and Collaboration/Partnerships
    They bind the ingredients, creating cohesion and structure across our work.

    Butter – Respect for People
    Adds richness and depth; this is what makes the work we do blend together and not get dry or boring.

    Sugar – Context and Community
    Brings balance and care, ensuring the outcome is inviting and welcoming for everyone.

    Baking powder – Pragmatic Problem-Solving
    Helps ideas rise and turn plans into action.

    Salt – Compliance and Integrity
    Subtle but essential; without it, the result falls flat or fails entirely.

    Milk – Role and Organizational Structure Clarity
    Smooths the mix so processes work together instead of clumping.

    Vanilla – Leadership
    Noticed when it’s missing.

    Lemon or Orange Zest (optional) – Data-informed judgment
    Adds nuance and depth without overpowering the core flavor.

    AI, NotebookLM, teaching online, video, Write6x6

    Write 6×6 and AI

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    I can’t believe it’s been 10 years since we started the blog challenge at GCC. Shout out to Todd Conaway, formerly of Yavapai College, for getting us started. Boy have things changed in these 10 years too. Lisa’s now in charge, and I love that. She gives us some interesting writing prompts that I usually ignore after I’ve spent a few hours thinking about it. I think this time I’ll write on her prompt: “TRUTH: It’s clear that AI tools are here to stay. What “AI hack” have you discovered that you would recommend to a colleague?”

    This one is easy. I’m not going to over think this one. I could share how I taught ChatGPT to write like me, and after about a month, I thought it was the weirdest thing ever and stopped. Ha! That’s some scary shit. No doubt. Then I trained it to rewrite my feedback on assignments and add context and detail. For instance, I would write that a particular paragraph was weak, missing a transition, topic sentence doesn’t work and there are numerous run on sentences. I could just add that to the comments section in Canvas for the student to read, but it’s very vague. ChatGPT would take my comments, and knowing what the assignment asked for and the rubric for grading, and it would turn my 3-4 shorthand comments into a wealth of information for students; a full paragraph explaining the importance of using transition, strong topic sentences, and providing examples of run-on sentences. He (he’s a he to me) didn’t even read the student’s work, but was able to provide all that information just from my brief short hand. It was amazing, but that got old quick too. Sad to say I went back to my short hand and rubrics temporarily.

    Create Course Content in NotebookLM

    All that was dandy, but the AI discovery I want to share with you all today is something I shared with my department during week of accountability. The video below provides an overview of how to enhance online courses using Notebook LM, a tool that allows educators to compile and present course materials in an engaging way, including the creation of multimedia content like video overviews and quizzes for students.