April 5, 2026
Ethical AI, Authentic Voice, and the Joy of Progress with Jade Arthur
What if job hunting could feel more like leveling up than burning out? Jackie sits down with language and mindset coach Jade Arthur to explore how AI and game design thinking can transform ESL learning, portfolios, and interview prep, especially for creatives entering the gaming industry. Jade walks us through a clear, repeatable workflow: define your outcomes, prompt ChatGPT for layered outputs, then move everything into Gamma to create a polished, visual resource your learners and job seekers will actually use.
We compare the traditional “wall of text” experience to a resource-first approach that scales: short and long versions of content, vocabulary and grammar targets, comprehension checks, and writing prompts—all structured around the ARCS model (attention, relevance, confidence, satisfaction). The payoff is tangible. Adult learners stay engaged, candidates can see themselves in role-specific scenarios, and coaches spend less time formatting and more time adding nuance, voice, and context.
Motivation gets a serious upgrade as well. Jade shares how gamified tracking, small wins, and vivid metaphors—like “job search villains”—help people push past vague anxiety and take focused action. Whether you teach ESL, build curriculum, or mentor designers and developers, you will leave with practical steps to ship something useful this week: a concise deck, a case study, or an interview prep kit that looks sharp and feels true to your voice.
🔗 Website and Social Links:
Please visit Jade Arthur’s website and social media links below.
📢 Call-to-Action: Visit Jane’s website for a free 15-minute Job Search Quest, which is a quick, focused coaching session (like a mini-mission in a game 🎮) designed to give job seekers an immediate win without overwhelming them. Think of it as a “speed boost” rather than a full campaign.
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00:00 - Welcome & Guest Intro
01:23 - Jade’s Path Into ESL & Gaming
03:19 - Gamification Meets Adult Learning
03:42 - ARCS Model Applied To Careers
04:50 - AI Example: ESL Stories To Gamma
08:50 - Why Visual Presentations Beat Chat Logs
10:19 - Ethical Guardrails & Voice
13:05 - A Practical AI Workflow With Fathom
16:00 - Closed Systems & Privacy Boundaries
19:30 - Weekly Move: Ship With Gamma
21:12 - Gamifying Motivation & Tracking
22:54 - Slaying Job Search Villains
24:25 - Tips For ChatGPT & Gamma Mastery
27:34 - Closing & Listener Challenge
29:08 - Support & Sign Off
WEBVTT
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Hello, and welcome to the Designing with Love podcast.
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I am your host, Jackie Pelegrin, where my goal is to bring you information, tips, and tricks as an instructional designer.
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Hello, instructional designers and educators.
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Welcome to episode 104 of the Designing with Love podcast.
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I'm thrilled to have Jade Arthur with me today.
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Jade is a language and mindset coach for job seekers in the gaming industry, blending expert English and teaching with creative job search coaching.
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She has over five years of English teaching experience across ACT, SAT prep, business English, pronunciation, ITUPS.
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I think I said that right, Jade, IT English, and conversation skills.
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Plus, she's been leveraging AI tools like ChatGPT and Gamma to create clearer, more motivating resources for learners and job seekers.
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Welcome to the show, Jade.
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Hi, Jackie.
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Thank you so much.
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I'm so glad to be here.
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Appreciate the opportunity.
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Yes.
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Sometimes I make a little bit of a boo-boo in my intro, but that's okay.
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You know, my listeners aren't about perfection.
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It's about authenticity.
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So it's okay.
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Exactly.
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I teach my students sometimes, you know, make the mistakes.
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That's why you're here.
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Right.
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Exactly.
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Jackie.
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Exactly.
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So to start, uh, can you just tell us a little bit about yourself, Jade?
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And what inspired you to focus on helping job seekers in the creative field, such as gaming, with job search coaching?
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Yeah.
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Thank you for asking.
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So yeah, I started more, like I said, with ACT, SAT, like you said before.
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And I wanted to do that more, but being under a non-compete made it really difficult to continue to find opportunities and something I really enjoyed and was good at.
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So I stumbled onto teaching English as a second language.
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The problem with that was it's hard to get paid enough money teaching that online.
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There are so many companies out there, and they're able to get away with paying very little.
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So as I kind of evolved my understanding of language and I started to understand where I could best fit, I realized that I was getting people in my network that were in gaming, because I'm a huge Pokemon fan.
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And I started to see where those kind of things intersected, gaming and education.
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And once I started seeing the value in that, I was also able to understand how can I tap into that, how can I talk to that audience?
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Because I like to learn through gaming.
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I learned some stuff through computer games when I was little.
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And I realized that there's a there's a place for that here, if I can take those skills and provide them to job seekers.
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And so that's how I ended up coming up with my program and my my coaching industry, as well as teaching ESL still, because I enjoy that.
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Wow, that's great.
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So you you saw uh a need and you could see that there's a value in this, and it's not just about always fun, but it's a way to blend that and be able to create it so that it provides educational value and it's not just an add-on, but it really is integrated in a way that provides that as well.
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Exactly.
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Exactly.
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Yeah.
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Gaming, gaming tends to be seen as something separate or as a reward.
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But as we've as we've evolved, we kind of start to understand how gamification can apply to learning and how it can apply for people that are older, so that it goes beyond just, oh, you know, making education fun for the kids.
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We're still kids inside, and I want to bring that out through how I present the material.
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Wow, that's great.
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I love that because there's a particular um model, it's and it's used in instructional design, but it's not as well used.
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And I'm trying to change that, and I'm trying to help other instructional designers, those that I teach, and uh and just in general to learn about this model.
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And it's called the ARCS model, and it stands for attention, relevance, confidence, and satisfaction.
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So that ties really well into gaming, right?
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Because we look at how can we get their attention, how can we provide that relevance to what they're learning, and then how can we build that confidence?
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And I think gaming does a great job at doing that with the rewards and the leveling up, right?
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And and then give them that satisfaction that says, at the end of this, yeah, I know that I really learned what I needed to learn or help with that, like what you're doing with job seeking and getting that that job that will sustain them.
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So it's really great to see how we can help those adult learners through that and use those models and tools that that help us along the way.
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Yeah, that's really acronyms are really helpful, like that.
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Yes, exactly.
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So um I wanted to, you know, kind of provide an example for my listeners because I know those are really helpful when we can have those concrete examples.
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So could you walk through uh maybe one before and after example where chat GPT or Gamma improved ESL or a job search resource, such as a portfolio or maybe interview prep?
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Yeah, sure.
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I actually have that um example here.
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So one of the things that I like to do is I do create my own GPTs sometimes when I see that there's a need.
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And I I really like to get the frameworks that I've been learning how to teach with and provide them to students in a way that makes those results more specific and really draws out the value that is hard to get if you don't have something guiding you.
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So I created this one called ESL Stories that I'd be happy to share if anyone's interested.
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And it's basically a way to get English teaching stories that are relevant to a particular topic.
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But beyond just let's talk about, you know, a story about a puppy in the present perfect, it's about the more of the meat of it and the the meaning behind it.
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So for example, this is one I did not too long ago.
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I typed in create and I made sure that it asked me these type of questions.
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What's the topic or the theme?
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What grammar do we focus on?
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What vocabulary?
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What English level?
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What's the tone or the intention?
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And what's the goal?
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That way we're moving beyond just, you know, a story at a certain level with some information about it to what is the purpose of this story being created?
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What value does it serve the person outside of just learning the language?
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What does it do for them emotionally or psychologically?
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So I also have them create a short version and a longer version.
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That way, the short version they can get some idea of the grammar and new vocabulary.
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And then the longer version, I can push them a little bit more to get comfortable with understanding a deeper level of context.
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So when I answered all of those questions, I came up or ChatGPT came up with this.
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Um, I was helping a student with um like cargo, like imports and exports.
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So I wanted something related to logistics to that.
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And it came up with like a little mini story here and a full story that takes that information and then gives an even deeper like storyline, like some of the things that this person did, and adding another character.
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It also adds comprehension questions, discussion questions, showing some examples, some of the vocabulary, and prompts that can help with the their writing, so that we are dealing with all of the skills reading, speaking, writing, and listening.
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Um, because that would be asking the questions, would help them listen.
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So this gives basically a lesson or about a lesson in one in one go.
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Um, you can ask for more example sentences or more prompts, but you essentially have the the breakdown of what that lesson would be.
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So once that's done, because I don't want to just use Chat GPT and just scroll down, it's a little bit flat.
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I take that and I put it into a gamma.
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And gamma basically creates your own presentation.
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So I took that, pressed preserve, and got this in a very nice, uh colorful um, because you can also choose the design, very colorful gamma that uh looks nice.
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I think I added some stuff a little bit afterwards or changed a little bit, but essentially that's mostly what's there, and that's pretty much a lesson ready to go.
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So wow, I love that, Jay.
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That's great.
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You're utilizing both tools and and being able to do that, and then you tweak it, you know, to fit what you're looking for.
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But that's great for job seekers because they then they can put themselves in that role and they can say, okay, this is what career I want.
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Now I can kind of imagine myself.
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And you you're kind of creating those case studies and those real life examples for them, and then putting it in a format that is uh is going to work for them.
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And like you said, it's you don't want to scroll up and down in a chat GPT type of format, but having it visually appealing and um and something that they can come back to, right?
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And and have that source uh to to reference.
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So I like that.
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Wow, that's great.
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I've used Gamma a few times and I've been introducing it to some of my colleagues at work and like you should give it a try.
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It's really great.
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I love it.
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Oh it's like beyond PowerPoint.
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Uh it's just so much better than PowerPoint.
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I actually took some professional development sessions I've been doing for a long time on OneNote, and I looked back and I was like, when did I offer my first OneNote professional development in the department?
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And it was back in 2015, and I was like, wow, that means I've been doing this 10 years.
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So I'm like, it's time to give a refresh.
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And so I decided to use gamma.
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And so it's just so nice.
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And everybody was like, wow, what did you what did what tool did you use?
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And I'm like, gamma.
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And they're like, oh, so it got their curiosity going.
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So it's neat.
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Yeah.
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I love, I love how adaptive it is too, it's really adapts to what you need.
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Right, exactly.
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So one thing I know that keeps coming up in all my conversations when it comes to AI, no matter what we use it in, because it's in every part of our lives.
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So one thing that always comes comes up in education and even in job seeking, everything is those guardrails, right?
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We need to make sure we have those guardrails in place because it's only as good as what we make it, and it is created by humans.
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So when so when you create with AI, what are some ethical guardrails that you make sure that you always follow and maybe even teach others as well?
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Yeah.
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So this is sort of an ongoing process for me determining what I feel is, you know, what I feel would be ethical and finding a balance between my voice and something that's professional.
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And so I think that a lot of times it can depend on the prompt and the output that it comes with.
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Um I tend to use a lot of, you know, Chat GPT things for like announcements, um, you know, some short messages, like some posts, because it's not always necessary to put all of yourself in it if it takes a lot of time.
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So knowing how much of this can I use where it would be okay for me, but it also balancing out my voice is still an ongoing challenge.
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And I think that's going to be the case for everybody is when is when is this okay?
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And how much of this versus me is okay on a consistent basis.
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Um, yeah, like I said, I think it's I think it's just an ongoing, ongoing determination.
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Right.
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And just doing that check every once in a while, like, am I depending upon the tool too much?
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Or is it is it becoming um, you know, a crutch, or is it is it that collaborator, right?
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And that way to level up what I'm already doing.
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So that's I love that.
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That's great.
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And that's what I've been doing too.
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And I've been teaching my students to do that.
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And I always say to my students, if you question, if you think you're cheating, then that means you're you're taking a step back and you're actually saying, wait, is this is this okay to do that?
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And that's okay to question that.
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And and I just let them know that yes, as long as the end product is your work and your original work, it's okay.
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You can use it to outline.
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You can, but when it comes to reflections or anything like that, it has to be your own work and your own voice.
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So that's important to let them know what those boundaries are, right?
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And those guardrails.
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Yeah, exactly.
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Wow, I love that.
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So I wanted to kind of round this out with a playbook, and then we'll go into like the bonus question for all those that love the bonus question uh and everything, which is great.
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Um, if a listener wants to try your approach, uh, what kind of step-by-step guide can you share with my listeners?
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Sure, sure.
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So the one thing that I would add from what I did earlier was I would also use Fathom.
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Fathom is a sort of AI like recording tool.
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Like when you go on here, it will provide a transcript for you that if you attach it to like a Zoom thing call like this, or any kind of call, and you connect it, it will provide you a transcript.
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It will record it, and so you have that information.
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And basically, what I would do is copy the transcript, put it into Chat GPT, and you could create a post from that, you could probably create a lesson from that, and then move that to gamma.
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So it's all really about like, how can I save myself from doing all of this that's really not necessary and still get valuable content that I'm then going to be able to teach?
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Because ultimately, I think the difference here, because I'm, you know, I I teach and I coach, but I think the difference here is that I have to present this.
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And if the output is something that doesn't really feel either nuanced or you know, doesn't go as deep as I want, or is just kind of I don't know, it's just not great in some way, or I don't like it, or it's not where I want to go, then it's up to me to determine how do I frame it.
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And that allows me to ease the sort of the the background, the the essential thing of what it is, how it should look, how it should be structured, and then improve it based on my own knowledge and the direction I want to go.
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So ultimately keeping in mind what is the message that you are intending with this information, and how much of Chat GPT do you need to get there?
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And how much of yourself do you need using your own knowledge of language, your own knowledge of the outcome, and blending that together.
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And I think that's really what it is is taking that stuff when you don't know where to start, you don't know how to structure it, and then using that as your foundation to build on towards your message.
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Wow, I love that, Jay.
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That's a great uh great step and great process.
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Um, so in the case of, you know, like where I work, we work on curriculum for higher education and uh we have a closed system model.
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Do you think that could still work with a closed system model?
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Um, and still because we're not allowed to use Chat GPT or Gemini or anything like that, we because the curriculum is proprietary.
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So I don't know if that's true with K through 12 or anything like that.
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But um, is would that approach still kind of work where you could still take the output from a closed system model and still put it into gamma and it would still work okay?
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I'm not sure what you mean by a closed system model.
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Yeah, so it's uh it's not something that's public.
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It's uh it's like ChatGPT, it uses the same technology as ChatGPT, but it's uh it's more um, it's got protection behind uh the you know the security walls and IT and everything.
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So it's only shared with those that work for the university.
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Um right now students have access to, we have our own um like chat bots.
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Like we have one that's called Mira for Science, and then we've got Isaac for science and things like that.
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So it's kind of neat to have uh or Isaac is math, I'm sorry.
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But um, but it provides that pr extra layer of protection because if we go to chat GPT, then there's that risk of that content getting out there.
00:16:32.960 --> 00:16:42.639
So yeah, I wasn't sure if that would work for that, but it sounds like you know, um, with closed system models, you could still find a way to make it work without uh compromising anything.
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So yeah.
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Yeah, I mean, I think again, it's all about ethical, the the ethics of it.
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And and uh, you know, because I don't work for a school, I don't necessarily know the the guardrails that are up for me and what I can do for that for that place and for those people.
00:16:57.919 --> 00:17:12.559
So I think, you know, determining if you know beforehand what you can do with it, then I think it's probably fine to experiment and then just use what you know you're allowed to use and either delete the rest or whatever.
00:17:12.559 --> 00:17:21.599
Um, but yeah, I mean, I think it I think it just depends on how private you keep it and what you've been told that you can do, and just trying to stay within those guidelines.
00:17:21.920 --> 00:17:22.720
That's a great idea.
00:17:22.720 --> 00:17:25.119
Yeah, and that's something I even let my students know.
00:17:25.119 --> 00:17:40.720
And we have a uh a resource that the university is given, and I share it in all my announcements and just say, please don't share your name or any prior proprietary information or you know, private information, you know, make sure it's it stays within that.
00:17:40.720 --> 00:17:41.839
So that's good.
00:17:41.839 --> 00:17:43.519
Yeah, I like that that approach.
00:17:43.519 --> 00:17:44.640
That's really great.
00:17:44.640 --> 00:17:45.599
Wonderful.
00:17:45.599 --> 00:17:52.960
So um, so the bonus question uh that I wanted to provide uh for my listeners, which they they love these bonus questions.
00:17:52.960 --> 00:18:00.319
I started doing this a couple weeks ago with uh some of my sessions, and it's really nice because they get a little bit of that extra bite, right?
00:18:00.319 --> 00:18:01.039
Uh of that.
00:18:01.039 --> 00:18:11.680
So if you had one tool like ChatGPT or Gamma, or one move to try this week, um maybe one uh measure to track success, uh, what would that be and why?
00:18:49.169 --> 00:19:05.889
Yeah, so for me, the tool would be gamma, and I I choose gamma because chat GPT gives you the ideas, but gamma actually creates its own resource and kind of acts like ChatGPT in a way because it can help you refine what you're saying and adapt.
00:19:05.889 --> 00:19:15.490
So I would use ChatGPT, I mean I would use Gamma for for that reason, because as a teacher, you have a resource, you have something that you can share.
00:19:15.490 --> 00:19:20.609
You can turn it into a website, you can turn it into a document, it can be a presentation.
00:19:20.609 --> 00:19:23.409
There's just so many ways that you can use that.
00:19:23.409 --> 00:19:37.730
Um as far as like tracking it, another another thing that is a helpful tool is something like um Habitica, which is a website that makes you it kind of gamifies doing tasks.
00:19:37.730 --> 00:19:42.129
Like if you do that, you get like a power-up and you can defeat this creature and stuff.
00:19:42.129 --> 00:19:48.529
Um, that's something that you can you can use if you if you need that sense of completion.
00:19:48.529 --> 00:20:00.209
Um, but I'm I'm still looking for a really cool tracking system, something that, you know, it kind of adapts to what you have done, um, gives you rewards.
00:20:00.209 --> 00:20:09.089
Um a really cool AI like tracking tool that makes you feel like you're really motivated towards some kind of big end goal.
00:20:09.089 --> 00:20:15.009
I don't think we're there yet, but I would I would like that because that's something that's really important to me.
00:20:15.009 --> 00:20:18.449
And I love knowing that I do this, I can get a reward.
00:20:18.449 --> 00:20:23.250
I was always very good at if somebody has that sort of expectation, I'll get it done.
00:20:23.250 --> 00:20:24.289
It's just how I was.
00:20:24.529 --> 00:20:24.849
Right.
00:20:24.849 --> 00:20:26.209
I love that.
00:20:26.209 --> 00:20:31.169
Yeah, like a progress bar kind of, and then you can see you're 50% of the way there, right?
00:20:31.169 --> 00:20:43.250
Keep going, get that little motivation to keep going and leaderboards and things like that, those little things that motivate you to do a little bit better, study harder or just, you know, whatever it is um that you're aiming towards.
00:20:43.250 --> 00:20:43.809
I love that.
00:20:43.809 --> 00:20:44.529
That's great.
00:20:44.529 --> 00:20:45.009
Yeah.
00:20:45.009 --> 00:21:01.490
So maybe maybe as AI gets better and better and it uh we're we'll we'll see some of those tracking mechanisms that still keep the privacy, but also enable you to be able to see where learners are at on their journey and job seekers as well, to see what what are the pain points, right?
00:21:01.490 --> 00:21:02.769
What do they need help with?
00:21:02.769 --> 00:21:07.250
And and that's what you're there for is to help them cross that finish line, right?
00:21:07.250 --> 00:21:09.490
And to get that dream job that they're looking for.
00:21:09.490 --> 00:21:09.889
Yeah.
00:21:10.209 --> 00:21:10.529
Exactly.
00:21:10.529 --> 00:21:15.970
That way, you know, one of my things is, you know, finding the joy in the job search is something that's important to me.
00:21:15.970 --> 00:21:19.329
So gamifying that process is a way to help with that.
00:21:19.329 --> 00:21:34.449
And as I like to help job seekers take down the the job search villains, like the cover letter crusher and the interview assassin, I'm taking challenges that would normally be kind of vague and giving them something that they can see in their mind and overcome with the right tools.
00:21:34.449 --> 00:21:46.929
So I think if we teach that in schools, we teach the idea of job search being a part of education and a part of the process, but also something that can be fun.
00:21:46.929 --> 00:21:58.369
We are able to handle it better, stay more motivated, and you know, maybe approach it with a more, you know, more resilience and more creativity.
00:21:59.089 --> 00:21:59.730
I love that.
00:21:59.730 --> 00:22:03.569
Especially with creative fields like gaming and and what I do.
00:22:03.569 --> 00:22:14.769
It's it's always good to have that, those people in your corner, like yourself, that can be there to provide that support and and uh and see where you know where those little you know villains are, right?
00:22:14.769 --> 00:22:16.049
That they can knock out.
00:22:16.049 --> 00:22:17.009
I love that.
00:22:17.009 --> 00:22:18.129
I love that approach.
00:22:18.129 --> 00:22:20.529
It really makes it to so that it's approachable.
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