1 00:00:04,480 --> 00:00:10,119 Welcome to the Teachers Need Teachers podcast, where we help new and beginning teachers 2 00:00:10,199 --> 00:00:16,000 navigate through those crazy first years of teaching so you can maintain your sanity and 3 00:00:16,399 --> 00:00:27,559 personal life. Here's your host, him Lapree. Welcome to the Teachers Need 4 00:00:27,559 --> 00:00:32,079 Teachers Podcasts, the podcast for teachers who don't want to just survive teaching but 5 00:00:32,240 --> 00:00:36,719 actually thrive. So you've heard all this buzz about chat shept, but after 6 00:00:36,799 --> 00:00:42,119 fumbling around, maybe you're wondering, what's the big deal. It just feels 7 00:00:42,200 --> 00:00:46,719 like Google, and out of frustration, you might have even given up on 8 00:00:46,759 --> 00:00:50,159 it all together and just think that it's all a fad that's going to pass. 9 00:00:50,159 --> 00:00:54,799 Here's the thing. Chat shept and AI in general are way better than 10 00:00:54,880 --> 00:00:59,840 Google and can do amazing things, but chances are you're probably using it wrong. 11 00:01:00,079 --> 00:01:03,359 So in today's episode, we'll explore how to get the most out of 12 00:01:03,439 --> 00:01:08,159 chat shebt in fact, get exactly what you want out of chat shebt or 13 00:01:08,239 --> 00:01:15,000 AI in general, and cover five key considerations for correcting effective prompts. I'll 14 00:01:15,000 --> 00:01:19,040 even give you examples of effective and ineffective prompts so that you can get a 15 00:01:19,079 --> 00:01:22,959 better idea of how to do this. In the future. Now, I 16 00:01:23,000 --> 00:01:26,640 could just give you a list of two one hundred prompts that you could use 17 00:01:26,640 --> 00:01:30,280 in your classroom like some other people are doing, but at some point you 18 00:01:30,319 --> 00:01:33,840 want to know how to write them yourself, so that the possibilities will be 19 00:01:34,159 --> 00:01:38,959 endless. I mean, without knowing, practicing and mastering how to write a 20 00:01:38,040 --> 00:01:42,439 good prompt than chat shept as well, just about as good as Google. 21 00:01:42,680 --> 00:01:49,000 So chat GBT has just an unthinkable amount of knowledge, and it's been trained 22 00:01:49,120 --> 00:01:53,840 on a huge amount of text from books, websites, and other sources. 23 00:01:53,040 --> 00:01:57,359 It learns patterns and information from all of those sources, and then it uses 24 00:01:57,359 --> 00:02:02,760 that information to answer questions and actually have conversations with you. So it actually 25 00:02:02,799 --> 00:02:07,960 knows natural language patterns and it feels like someone is talking with you via chat. 26 00:02:08,080 --> 00:02:10,680 It's really interesting. But to get the most out of it, you 27 00:02:10,759 --> 00:02:15,560 have to be really precise in terms of how you ask it questions, in 28 00:02:15,639 --> 00:02:19,879 terms of what you ask from it. You know how you might ask Siri 29 00:02:20,159 --> 00:02:23,479 or some other AI a question, and it just takes you to a website, 30 00:02:23,520 --> 00:02:27,840 and that can get pretty frustrating because all you want is just an answer. 31 00:02:27,919 --> 00:02:30,199 I don't want to ask Siri for what the weather is and have her 32 00:02:30,240 --> 00:02:34,039 say, here's what I found on the web. I want her to tell 33 00:02:34,080 --> 00:02:37,000 me what the weather is. Luckily she can do that now. But what 34 00:02:37,080 --> 00:02:42,960 chat GPT does is it actually answers the question by pulling from the entire database 35 00:02:43,000 --> 00:02:46,159 that it has been trained on. So instead of standing you somewhere to go 36 00:02:46,199 --> 00:02:49,199 figure out the answer yourself, it just gives you the answer. So it's 37 00:02:49,240 --> 00:02:52,280 pretty awesome that way. But in the same way that you can't just ask 38 00:02:52,280 --> 00:02:55,360 your students write me an essay. Who knows what you're going to get from 39 00:02:55,400 --> 00:02:59,719 that. The same thing goes with chat GPT or other AI. You have 40 00:02:59,759 --> 00:03:02,639 to be very specific and you have to feed it what it wants so that 41 00:03:02,719 --> 00:03:07,400 you can get the answer that you want. So the first consideration when writing 42 00:03:07,439 --> 00:03:13,520 an AI prompt is clarity and specificity. So as teachers, we totally understand 43 00:03:13,560 --> 00:03:17,280 clarity and specificity. So we have to be really specific when we ask our 44 00:03:17,280 --> 00:03:21,520 students to do something for us. If you think about the beginning of the 45 00:03:21,560 --> 00:03:24,479 school year, we can't just tell students to lineup and have it be exactly 46 00:03:24,599 --> 00:03:28,919 how we had envisioned. A lot of times we have to tell them lineup 47 00:03:28,960 --> 00:03:32,879 in this direction, lineup silently, line up against the wall, lineup outside. 48 00:03:32,919 --> 00:03:37,879 We just have to be really specific because they aren't mind readers. And 49 00:03:37,960 --> 00:03:40,960 then the same way, chat GBT and other AI also not mind readers. 50 00:03:42,120 --> 00:03:46,319 So, for example, we can tell chat GBT to write an essay on 51 00:03:46,639 --> 00:03:50,680 pride and prejudice. Well, it may produce something that is appropriate for a 52 00:03:50,719 --> 00:03:53,960 twelfth grade class, but maybe not appropriate for an eighth or ninth grade class. 53 00:03:54,120 --> 00:03:58,560 So instead we want to be really specific and say something like, write 54 00:03:58,560 --> 00:04:02,400 a persuasive essay on to kill a mockingbird and how it's a significant piece of 55 00:04:02,439 --> 00:04:06,680 literature, provides specific examples from the text, and use MLA format. Now, 56 00:04:06,680 --> 00:04:11,879 if you're that specific, then chat GPT will definitely give you something more 57 00:04:11,960 --> 00:04:15,600 robust if we're, say in a more advanced class. By providing clear instructions 58 00:04:15,600 --> 00:04:20,079 to the AI and clear expectations, we are more likely to receive a product 59 00:04:20,199 --> 00:04:25,399 that we are satisfied with and that we're actually looking for. Here's another example. 60 00:04:25,639 --> 00:04:30,079 We can tell chat GPT to write a lesson about plants. So if 61 00:04:30,120 --> 00:04:34,519 we're not specific in terms of the grade level or in terms of what about 62 00:04:34,560 --> 00:04:39,759 the plants, what concepts that we want the students to learn about plants, 63 00:04:39,800 --> 00:04:42,920 it's going to spit out something that might not even be relevant to what we're 64 00:04:42,920 --> 00:04:46,680 teaching. But if we say something like write a lesson for fifth graders about 65 00:04:46,680 --> 00:04:50,560 photosynthesis and its importance in terms of the growth of plants, then that's going 66 00:04:50,600 --> 00:04:55,240 to be something that will help us and will be more specific to our needs 67 00:04:55,279 --> 00:04:59,399 in terms of lesson plans. So just remember you need to really clarify and 68 00:04:59,560 --> 00:05:03,120 specif fy what it is that you want and what you're asking for when you're 69 00:05:03,160 --> 00:05:06,720 putting in a prompt for chat, GPT or any other AI. The next 70 00:05:06,720 --> 00:05:12,240 consideration, and what I consider be a really important one, is context and 71 00:05:12,480 --> 00:05:17,279 background. So context and background give the AI important information so that the AI 72 00:05:17,480 --> 00:05:21,639 will understand the nuances of the conversation that we're trying to have. It's similar 73 00:05:21,680 --> 00:05:25,959 to when you go to a new doctor. Before the doctor can give you 74 00:05:26,000 --> 00:05:29,079 any kind of diagnosis or a treatment plant, they're going to want to know 75 00:05:29,199 --> 00:05:31,519 your medical history. So you're going to talk about things that have happened to 76 00:05:31,560 --> 00:05:35,800 you, any surgeries or medication, or any other family members that happen to 77 00:05:35,839 --> 00:05:40,759 have certain illnesses that you may have inherited. It's really important for the doctor 78 00:05:40,839 --> 00:05:45,600 to know that before they can accurately figure out what's going on with your body. 79 00:05:45,680 --> 00:05:47,439 And similarly, if you go to a therapist, they're going to be 80 00:05:48,040 --> 00:05:53,040 trying to find out information about your past, particularly your childhood, so that 81 00:05:53,079 --> 00:05:58,439 they can help support you moving forward. I mean imagine asking AI or chat 82 00:05:58,480 --> 00:06:01,759 GPT right a lesson plan for a math What kind of math, what grade 83 00:06:01,839 --> 00:06:06,519 level? What concept are you trying to teach? Is it trigonometry, algebra, 84 00:06:06,560 --> 00:06:10,240 calculus? Do you see how that's really really vague? But if you 85 00:06:10,319 --> 00:06:14,680 give it some context and some background information, then it's going to produce a 86 00:06:14,720 --> 00:06:17,120 better lesson plan. But instead, if you are great specifics, if I 87 00:06:17,160 --> 00:06:21,360 say, write a lesson teaching fourth graders how to write an introduction to a 88 00:06:21,360 --> 00:06:26,720 persuasive essay, that's going to be a lot different than asking the AI to 89 00:06:26,839 --> 00:06:30,560 write a lesson the same lesson but for eighth graders. For eighth graders, 90 00:06:30,560 --> 00:06:34,920 it'll be more of a review and it's going to have more complex concepts in 91 00:06:34,959 --> 00:06:40,720 there to refine an introduction, whereas maybe for a third or fourth grader it'll 92 00:06:40,759 --> 00:06:44,439 be more of an introduction for them because maybe at that point they don't really 93 00:06:44,439 --> 00:06:46,800 know how to write one yet, so it's something that is really important in 94 00:06:46,920 --> 00:06:50,959 terms of giving it contexts, giving a grade level, subject level, even 95 00:06:51,120 --> 00:06:56,319 a particular concept that you really want the AI to hone in on. Let's 96 00:06:56,319 --> 00:06:59,839 say that you wrote in chat GBT, how can I support a student with 97 00:07:00,000 --> 00:07:02,399 special needs? It's the same thing if somebody had asked you that as a 98 00:07:02,439 --> 00:07:06,199 teacher, you would want more contexts and background. You'd want to know more 99 00:07:06,319 --> 00:07:13,319 about the student's diagnosis, any challenges, strengths and weaknesses, and that way 100 00:07:13,399 --> 00:07:16,319 you can better give suggestions in terms of how to support that student. And 101 00:07:16,360 --> 00:07:20,199 the same thing goes for chat GPT. You can also weave a story if 102 00:07:20,240 --> 00:07:24,680 it helps you in terms of writing the prompt, so you can put something 103 00:07:24,800 --> 00:07:28,319 light. You are a high school physics teacher. You are a high school 104 00:07:28,360 --> 00:07:31,759 physics teacher. Your students have taken algebra, trigonometry, and some of them 105 00:07:31,879 --> 00:07:36,160 have taken pre calculus, although not all, but nobody has taken formal calculus 106 00:07:36,279 --> 00:07:41,680 yet, teach them about about fifty percent of your students struggle with math in 107 00:07:41,759 --> 00:07:46,720 general. Create a differentiated lesson teaching students how to solve the following problem, 108 00:07:46,800 --> 00:07:48,720 and then you can input the problem. So do you see how specific I 109 00:07:48,920 --> 00:07:51,399 was on that one. For a lot of people, it really helps to 110 00:07:51,480 --> 00:07:57,319 paint that picture and to tell chat GPT or AI who they are so that 111 00:07:57,399 --> 00:08:01,800 as they answer and give you the response that you're looking for, they're doing 112 00:08:01,839 --> 00:08:05,600 it as that persona. And then after you get the answer, if it's 113 00:08:05,600 --> 00:08:09,399 still not specific enough, or if you want additional supports, you can say 114 00:08:09,439 --> 00:08:13,120 that you can just add to the conversation and say something like give supporting scaffolds 115 00:08:13,160 --> 00:08:18,879 for students with IEPs, or give supporting scaffolds for students who are English learners. 116 00:08:20,040 --> 00:08:22,319 So you can keep adding more to the prompt even after it's already given 117 00:08:22,360 --> 00:08:26,600 you an answer, so that it can get more and more specific, and 118 00:08:26,720 --> 00:08:30,600 that'll end up giving you something that you can really use and that's relevant for 119 00:08:30,680 --> 00:08:35,840 your classs. Similarly, the next consideration for writing AI prompts is the desired 120 00:08:35,879 --> 00:08:39,799 outcome. So stating the expectation and the desired outcome is really important. And 121 00:08:39,840 --> 00:08:43,679 I've actually experienced this when I've been playing a chat GPT. So I can 122 00:08:43,720 --> 00:08:48,600 copy and paste a paragraph from a student and say how can the student improve 123 00:08:48,600 --> 00:08:52,720 their writing, and it'll give me an answer that's pretty generic. But if 124 00:08:52,720 --> 00:08:56,440 I don't tell them exactly what I'm looking for or which areas of improvement that 125 00:08:56,600 --> 00:09:00,639 I want it to grade it on, kind of like giving a rubric that 126 00:09:00,720 --> 00:09:03,159 I just get a really generic answer. So instead of saying, how can 127 00:09:03,200 --> 00:09:07,440 the student improve this paragraph? I can say, out of these five areas, 128 00:09:07,639 --> 00:09:13,360 assess the student's writing, or which five areas of improvement could this student 129 00:09:13,440 --> 00:09:16,519 improve upon? So you could ask for it to give you five criteria, 130 00:09:16,799 --> 00:09:20,120 or you could give it five criteria. But you want to be really specific 131 00:09:20,200 --> 00:09:24,080 about what it is that you want to get out of it. What kind 132 00:09:24,120 --> 00:09:28,440 of information are you looking for? And again, if you add some clarity 133 00:09:28,720 --> 00:09:33,000 and some specificity, then it'll be even better. So if you say, 134 00:09:33,120 --> 00:09:37,120 this is a seventh grade student with a fifth grade reading level, how can 135 00:09:37,159 --> 00:09:41,000 the student improve this paragraph? Or you can say this is a seventh grade 136 00:09:41,000 --> 00:09:43,519 student that is reading at a tenth grade level, how can the student improve 137 00:09:43,600 --> 00:09:48,000 this paragraph so that it's writing more at a tenth grade level. You might 138 00:09:48,039 --> 00:09:52,159 have heard that chat SPT can level texts for you so that they're written at 139 00:09:52,200 --> 00:09:56,360 the reading level for a specific student. So instead of saying, make this 140 00:09:56,480 --> 00:10:00,600 text easier to read, you can say, rewrite this tech so that it 141 00:10:00,759 --> 00:10:05,200 is at a fifth grade level. So being really specific in terms of the 142 00:10:05,279 --> 00:10:09,639 desired outcome will make it so that you're not frustrated with GPT. Remember it's 143 00:10:09,639 --> 00:10:13,000 not a mind reader. It wants to work with you and give you what 144 00:10:13,080 --> 00:10:16,200 you want, but you have to be really clear about what you want. 145 00:10:16,240 --> 00:10:18,960 So for another example, you would give it context. You are a sixth 146 00:10:18,960 --> 00:10:24,440 grade teacher, all of your students have chromebooks. Create a lesson that teaches 147 00:10:24,480 --> 00:10:28,399 students how to use Google Docs, and then you would say so that they 148 00:10:28,399 --> 00:10:30,919 can do this, this, and this, or they know how to use 149 00:10:30,960 --> 00:10:33,919 this tool, or create a lesson that teaches students how to use add ons 150 00:10:35,120 --> 00:10:37,440 or other things like that. So you want to give it context, and 151 00:10:37,440 --> 00:10:41,360 then you want to tell them what the desired outcome is. The next consideration 152 00:10:41,559 --> 00:10:48,039 for writing a PROMPTS is structure and formatting. So again we're trying to make 153 00:10:48,039 --> 00:10:50,639 it so that the AI can give us exactly what we're looking for. So 154 00:10:50,720 --> 00:10:54,360 you want to tell it how you want the information to be structured and in 155 00:10:54,360 --> 00:11:00,639 what format it can give you lists, step by step instructions or other organized 156 00:11:00,679 --> 00:11:03,080 responses, and some of the AI It can even give you pictures, which 157 00:11:03,080 --> 00:11:07,679 is pretty cool. So instead of saying, what are some strategies for differentiating 158 00:11:07,679 --> 00:11:11,879 this lesson, you could instead improve the prompts by saying, provide me with 159 00:11:13,080 --> 00:11:18,480 ree research based strategies to differentiate these lessons, so the model will be able 160 00:11:18,559 --> 00:11:22,200 to generate an answer that aligns better with the requests and it's not so generic 161 00:11:22,240 --> 00:11:26,759 and we won't be so frustrated with it. Similarly, instead of asking the 162 00:11:26,840 --> 00:11:30,799 AI, how does photosynthesis work, you could say, provide a step by 163 00:11:30,840 --> 00:11:35,879 step explanation on how photosynthesis works for a fifth grade class. So again we're 164 00:11:35,879 --> 00:11:39,799 giving it context, but we're also being specific about the structure and formatting that 165 00:11:39,840 --> 00:11:43,360 we want from the AI. Maybe want it so that it's not just step 166 00:11:43,360 --> 00:11:46,240 by step instructions, but it actually gives you a paragraph for each step. 167 00:11:46,320 --> 00:11:50,919 You can also specify that. And this is also where you can get into 168 00:11:50,240 --> 00:11:56,120 asking it to write to a ten question multiple choice quiz for a ten question 169 00:11:56,240 --> 00:12:00,399 true and false quiz. Things like that. You want to give it enough 170 00:12:00,440 --> 00:12:03,399 information so it can make sure that the output is exactly what you're looking for. 171 00:12:03,559 --> 00:12:07,600 Something that's also really cool is that it can turn something like a script 172 00:12:07,799 --> 00:12:11,960 or can turn something in one format and change it to another. So I've 173 00:12:13,000 --> 00:12:16,320 actually taken the script from a YouTube video and I don't know if you've ever 174 00:12:16,320 --> 00:12:20,759 seen the script with timestamps, and it has all of the us and ums, 175 00:12:20,799 --> 00:12:24,519 and it's more conversational, but it doesn't actually read very well, and 176 00:12:24,600 --> 00:12:28,399 it'll actually rewrite it into a blog post. It's actually really cool because it 177 00:12:28,399 --> 00:12:31,879 says me so much time in terms of having to go over the script and 178 00:12:31,879 --> 00:12:35,639 then try to summarize it and rewrite it myself. And then you can also 179 00:12:35,720 --> 00:12:39,080 change the formats as you go. So let's say that you're asking it to 180 00:12:39,200 --> 00:12:45,399 create an outline for a lesson or create an outline for again a script. 181 00:12:45,480 --> 00:12:48,519 Then you can have it actually flesh out each point on there so that it 182 00:12:48,559 --> 00:12:52,279 gives you what to say, or it gives you resources, or gives you 183 00:12:52,360 --> 00:12:56,320 differentiation for each different point, so you just kind of have to play with 184 00:12:56,360 --> 00:13:01,240 it and then just really drill down in terms of what else you wanted to 185 00:13:01,279 --> 00:13:05,919 do after it has produced something for you. So the last consideration for writing 186 00:13:05,960 --> 00:13:09,440 an AI prompt is open endedness. It's kind of the opposite of what I 187 00:13:09,480 --> 00:13:16,000 said before in terms of specificity. And the desired outcome and structure and formatting, 188 00:13:16,039 --> 00:13:18,240 and this allows the AI to actually give you more than you thought that 189 00:13:18,320 --> 00:13:22,279 you wanted to know. So instead of saying, what are three main causes 190 00:13:22,399 --> 00:13:28,399 of climate change, you can actually ask it to discuss potential factors contributing to 191 00:13:28,440 --> 00:13:33,399 climate change and their potential impact. So you can play with it both ways. 192 00:13:33,440 --> 00:13:35,919 If it gives you something specific, but you want more ideas, then 193 00:13:35,960 --> 00:13:39,639 just ask it to discuss, or you can say, give me more ideas 194 00:13:39,799 --> 00:13:43,159 or give me five more points to consider. You can make it so that 195 00:13:43,240 --> 00:13:48,759 it's not so specific, and that way chat GPT has an opportunity to just 196 00:13:48,840 --> 00:13:52,480 see if there's anything else that you hadn't thought of. It's really good also 197 00:13:52,519 --> 00:13:56,440 for brainstorming in that way. Another example would be maybe you put in what 198 00:13:56,639 --> 00:14:01,759 is the significance of the Gettysburg Address? Now you can a more rich conversation 199 00:14:01,039 --> 00:14:07,480 if you ask how has the Gettysburg Address influenced American society and its values? 200 00:14:07,559 --> 00:14:11,080 Do you see how you would get different answers based on each question. I 201 00:14:11,080 --> 00:14:13,600 mean you can actually ask it both. But I'm just suggesting that not only 202 00:14:13,679 --> 00:14:18,639 do you give us something super specific, but you also given an opportunity with 203 00:14:18,679 --> 00:14:22,360 an open ended question maybe falling up after that. Now I have to tell 204 00:14:22,399 --> 00:14:28,159 you I have had to really try and retry and iterate and reiterate constantly to 205 00:14:28,240 --> 00:14:31,519 get better results from chat GBT, and I started probably where you are, 206 00:14:31,639 --> 00:14:35,360 where you're just asking questions like you would in Google. But remember, even 207 00:14:35,399 --> 00:14:39,200 when you're using Google, you might have learned about like bullyan language and things 208 00:14:39,279 --> 00:14:43,240 that you can add to your query to get better results, such as if 209 00:14:43,240 --> 00:14:46,279 you want a specific word to show up, then you can use like quotation 210 00:14:46,360 --> 00:14:48,600 marks. So it kind of works that way too with chat GBT and other 211 00:14:48,639 --> 00:14:52,000 AI where you want to be really really specific. You're not going to use 212 00:14:52,080 --> 00:14:56,279 necessarily any of that boolean language, but you are going to be specific with 213 00:14:56,320 --> 00:15:01,320 your words in the same way that you're specific with your students. If you 214 00:15:01,360 --> 00:15:05,320 want them to do something, if you want them to behave in a certain 215 00:15:05,360 --> 00:15:07,919 way or line up in a certain way, or if you want them to 216 00:15:07,960 --> 00:15:11,360 put their name in a certain corner in a certain way, then you have 217 00:15:11,440 --> 00:15:16,399 to be specific. And the same thing goes with chat GPT in AI. 218 00:15:16,440 --> 00:15:20,240 It does take some getting used to, but the thing is you just want 219 00:15:20,279 --> 00:15:22,360 to play with it, and like I said in my previous video about chat 220 00:15:22,360 --> 00:15:24,960 GPT, one of the ways that you can play with it if you're not 221 00:15:26,000 --> 00:15:28,480 comfortable or if you don't really want to think about school right now, is 222 00:15:28,519 --> 00:15:33,480 to use it for your personal life and just ask it questions. You can 223 00:15:33,519 --> 00:15:37,279 say something like, I'm a busy mom with three kids, and I have 224 00:15:37,320 --> 00:15:43,120 one hundred dollars grocery budget right a five dinner meal plan, including a list 225 00:15:43,159 --> 00:15:46,200 of groceries that I need to buy from the grocery store, so it'll do 226 00:15:46,240 --> 00:15:50,120 that. Or you can say, I have this, this, and this 227 00:15:50,200 --> 00:15:54,879 and my refrigerator. Give me five examples of recipes that I could use with 228 00:15:54,960 --> 00:15:58,600 these ingredients, that I can make with these ingredients. So it's just something 229 00:15:58,639 --> 00:16:02,960 that I think it's more fun to play with it first in your personal life 230 00:16:02,960 --> 00:16:04,679 with things that are going to be useful for you, and then when you're 231 00:16:04,720 --> 00:16:08,320 ready to think about school again, or when you are ready to apply it 232 00:16:08,360 --> 00:16:12,080 towards your teaching, then you can start playing around with it, and by 233 00:16:12,159 --> 00:16:17,519 then you would have practiced prompts using something a little more fun and practical before 234 00:16:17,519 --> 00:16:21,720 you apply it to school. So I hope that this really gave you more 235 00:16:21,759 --> 00:16:26,840 clarity in terms of how to use chat GBT in an effective way instead of 236 00:16:26,879 --> 00:16:30,480 just using it to replace school, because remember, it can do so much 237 00:16:30,519 --> 00:16:33,639 more than that. If you've been getting a lot of value from any of 238 00:16:33,639 --> 00:16:37,440 my podcast episodes, I'd really love it if you would leave a rating and 239 00:16:37,480 --> 00:16:41,200 a review on Apple Podcasts or wherever it is that you listen to your podcast. 240 00:16:41,360 --> 00:16:45,440 It really helps so that people trust that this is a podcast that they'll 241 00:16:45,440 --> 00:16:48,279 get something out of. And I think that a lot of people really do 242 00:16:48,360 --> 00:16:52,759 look at those ratings and reviews, so I'd really appreciate you taking a couple 243 00:16:52,840 --> 00:16:55,279 minutes to do that. Thanks for hanging out with me today, you guys, 244 00:16:55,279 --> 00:16:59,480 and I will see you next time. Thanks for listening to the Teachers 245 00:16:59,559 --> 00:17:03,519 Need to Choos podcast. Love this episode, head over to Apple podcast or 246 00:17:03,599 --> 00:17:07,799 Google Play to subscribe, rate and leave a review.