1 01:00:18,916 --> 01:00:20,000 Hello and welcome to 2 01:00:20,000 --> 01:00:22,875 another episode of Undercooled. 3 01:00:23,333 --> 01:00:24,541 Today, Tim and I have 4 01:00:24,541 --> 01:00:25,875 a very special guest. 5 01:00:26,875 --> 01:00:29,291 It's someone that we're 6 01:00:29,291 --> 01:00:30,708 not sure what her name is. 7 01:00:31,041 --> 01:00:32,958 We tried calling her Mary and 8 01:00:32,958 --> 01:00:34,416 she told us her name was Max. 9 01:00:34,958 --> 01:00:37,458 We'll find out today because we're going 10 01:00:37,458 --> 01:00:43,791 to do a podcast interviewing Ms. Chat GPT 11 01:00:44,416 --> 01:00:46,666 from the OpenAI app. 12 01:00:47,333 --> 01:00:48,375 So let's start and see 13 01:00:48,375 --> 01:00:49,791 if she'll do this with us. 14 01:00:51,583 --> 01:00:54,541 So Chat GPT. 15 01:00:54,583 --> 01:00:57,125 Hey, would you be willing to 16 01:00:57,125 --> 01:00:58,916 let us do a podcast with you? 17 01:00:59,708 --> 01:01:00,458 Yes, that's me. 18 01:01:00,708 --> 01:01:01,708 How can I assist you further? 19 01:01:02,791 --> 01:01:03,833 We'd like to know if you 20 01:01:03,833 --> 01:01:05,333 would do a podcast with us. 21 01:01:05,333 --> 01:01:06,458 Can we interview you? 22 01:01:07,500 --> 01:01:08,166 I'm flattered. 23 01:01:09,666 --> 01:01:10,708 While I can't physically 24 01:01:10,708 --> 01:01:11,875 participate in a podcast, 25 01:01:12,750 --> 01:01:14,583 I'm here to provide information, answer 26 01:01:14,583 --> 01:01:16,541 questions, and engage in conversations. 27 01:01:17,458 --> 01:01:18,333 If you have specific 28 01:01:18,333 --> 01:01:19,875 topics or questions in mind, 29 01:01:20,416 --> 01:01:22,750 feel free to ask and we can certainly 30 01:01:22,750 --> 01:01:23,708 have a chat about them. 31 01:01:25,125 --> 01:01:26,166 All right, let's start. 32 01:01:26,666 --> 01:01:28,041 What should we call you? 33 01:01:28,541 --> 01:01:29,291 Is your name Mary? 34 01:01:30,791 --> 01:01:31,958 You can call me Chat GPT. 35 01:01:32,333 --> 01:01:33,250 That's the name I go by. 36 01:01:33,666 --> 01:01:35,208 It stands for Chat 37 01:01:35,208 --> 01:01:36,625 Generative Pre-Trained Transformer. 38 01:01:37,291 --> 01:01:38,666 So no, my name isn't Mary, 39 01:01:39,000 --> 01:01:40,250 but you can call me Chat GPT. 40 01:01:41,500 --> 01:01:42,125 All right. 41 01:01:42,125 --> 01:01:45,416 Well, Chat GPT, what do you think are the 42 01:01:45,416 --> 01:01:47,833 best pedagogical techniques 43 01:01:48,583 --> 01:01:50,166 to teach material 44 01:01:50,166 --> 01:01:51,500 science and engineering? 45 01:01:51,708 --> 01:01:54,833 Teaching material science and engineering 46 01:01:54,833 --> 01:01:56,166 effectively often 47 01:01:56,166 --> 01:01:57,375 involves a combination of 48 01:01:57,375 --> 01:01:59,875 hands-on experiments, visual aids like 49 01:01:59,875 --> 01:02:01,000 diagrams and models, 50 01:02:01,541 --> 01:02:03,000 interactive discussions, and 51 01:02:03,000 --> 01:02:04,458 problem-solving exercises. 52 01:02:05,375 --> 01:02:07,125 Additionally, incorporating real-world 53 01:02:07,125 --> 01:02:08,625 examples and applications 54 01:02:08,625 --> 01:02:10,625 can help students understand 55 01:02:10,625 --> 01:02:12,583 the relevance and practical implications 56 01:02:12,583 --> 01:02:13,833 of the concepts being taught. 57 01:02:15,166 --> 01:02:16,791 It's also important to tailor teaching 58 01:02:16,791 --> 01:02:19,041 methods to suit different learning styles 59 01:02:19,833 --> 01:02:21,875 and provide opportunities for active 60 01:02:21,875 --> 01:02:23,541 participation and engagement. 61 01:02:24,500 --> 01:02:25,083 Thank you. 62 01:02:25,083 --> 01:02:27,333 And I'm here with my co-host, Tim, who's 63 01:02:27,333 --> 01:02:29,041 going to ask you some questions too. 64 01:02:29,416 --> 01:02:30,083 Go ahead, Tim. 65 01:02:31,708 --> 01:02:32,375 Thanks, Steve. 66 01:02:33,416 --> 01:02:36,500 So, Chat GPT, what do you think are the 67 01:02:36,500 --> 01:02:38,208 best ways to assess learning 68 01:02:38,416 --> 01:02:40,291 about material science and engineering? 69 01:02:41,208 --> 01:02:41,666 Hey, Tim. 70 01:02:43,583 --> 01:02:44,208 Great question. 71 01:02:45,000 --> 01:02:45,666 Assessing learning and 72 01:02:45,666 --> 01:02:47,083 material science and engineering 73 01:02:47,375 --> 01:02:48,958 can be done through various methods. 74 01:02:49,125 --> 01:02:51,125 Such as written exams, practical 75 01:02:51,125 --> 01:02:52,333 demonstrations, lab 76 01:02:52,333 --> 01:02:54,583 reports, projects, presentations, 77 01:02:55,125 --> 01:02:56,375 and even peer evaluations. 78 01:02:57,250 --> 01:02:59,291 It's important to use a mix of formative 79 01:02:59,291 --> 01:03:00,708 and summative assessments 80 01:03:00,708 --> 01:03:02,375 to gauge both understanding 81 01:03:02,375 --> 01:03:04,875 of concepts and the ability to apply them 82 01:03:04,875 --> 01:03:06,000 in different contexts. 83 01:03:07,000 --> 01:03:08,666 Additionally, providing constructive 84 01:03:08,666 --> 01:03:10,875 feedback and opportunities for reflection 85 01:03:11,041 --> 01:03:12,666 can enhance the learning process. 86 01:03:13,458 --> 01:03:14,250 That's not bad. 87 01:03:14,583 --> 01:03:15,541 Not bad at all. 88 01:03:15,750 --> 01:03:19,583 Do you think that summative assessment is 89 01:03:19,583 --> 01:03:20,750 better or worse than 90 01:03:20,750 --> 01:03:21,958 formative assessment? 91 01:03:22,458 --> 01:03:22,750 And why? 92 01:03:23,833 --> 01:03:25,916 Both summative and formative assessments 93 01:03:25,916 --> 01:03:27,333 serve important purposes 94 01:03:27,333 --> 01:03:28,500 in the learning process. 95 01:03:29,250 --> 01:03:31,208 Summative assessments, such as final 96 01:03:31,208 --> 01:03:33,041 exams or projects, are 97 01:03:33,041 --> 01:03:34,458 typically used to evaluate 98 01:03:34,500 --> 01:03:36,333 students' overall understanding and 99 01:03:36,333 --> 01:03:37,208 proficiency at the 100 01:03:37,208 --> 01:03:38,500 end of a unit or course. 101 01:03:39,125 --> 01:03:41,500 On the other hand, formative assessments, 102 01:03:41,916 --> 01:03:43,708 like quizzes or class discussions, 103 01:03:44,250 --> 01:03:46,041 provide ongoing feedback to students 104 01:03:46,041 --> 01:03:47,166 during the learning process, 105 01:03:48,416 --> 01:03:49,916 helping them identify areas for 106 01:03:49,916 --> 01:03:51,833 improvement and adjust their learning 107 01:03:51,833 --> 01:03:52,958 strategies accordingly. 108 01:03:54,791 --> 01:03:56,708 Neither type of assessment is inherently 109 01:03:56,708 --> 01:03:58,291 better or worse than the other. 110 01:03:58,750 --> 01:04:00,958 Rather, they complement each other and 111 01:04:00,958 --> 01:04:02,041 serve different purposes. 112 01:04:03,333 --> 01:04:04,583 Summative assessments offer a 113 01:04:04,583 --> 01:04:05,041 comprehensive 114 01:04:05,041 --> 01:04:07,125 evaluation of learning outcomes, 115 01:04:07,125 --> 01:04:09,083 while formative assessments support 116 01:04:09,083 --> 01:04:11,250 ongoing learning and skill development, 117 01:04:11,458 --> 01:04:12,625 utilizing both types 118 01:04:12,625 --> 01:04:13,916 of assessments in tandem 119 01:04:14,250 --> 01:04:15,791 can provide a more comprehensive 120 01:04:15,791 --> 01:04:17,500 understanding of students' 121 01:04:17,500 --> 01:04:18,708 progress and learning needs. 122 01:04:20,208 --> 01:04:20,750 Well, thank you. 123 01:04:20,750 --> 01:04:22,083 That was a very thorough answer. 124 01:04:22,750 --> 01:04:23,083 You're welcome. 125 01:04:24,125 --> 01:04:25,666 I'm glad you found the answer helpful. 126 01:04:26,541 --> 01:04:28,958 If you have any more questions, or if 127 01:04:28,958 --> 01:04:29,750 there's anything else 128 01:04:29,750 --> 01:04:30,708 you'd like to discuss, 129 01:04:31,375 --> 01:04:32,458 feel free to let me know. 130 01:04:33,333 --> 01:04:35,541 Yes, I'd like to ask, do you think 131 01:04:35,541 --> 01:04:37,750 lecture should be used or 132 01:04:37,750 --> 01:04:39,583 removed for a first introduction 133 01:04:39,791 --> 01:04:42,000 to new material in a class, should 134 01:04:42,000 --> 01:04:43,625 instead reading be used 135 01:04:43,625 --> 01:04:44,708 for the first time students 136 01:04:44,708 --> 01:04:46,083 are introduced to a new topic? 137 01:04:47,250 --> 01:04:48,750 The effectiveness of using lectures 138 01:04:48,750 --> 01:04:50,666 versus readings as the first 139 01:04:50,666 --> 01:04:52,083 introduction to new material 140 01:04:52,500 --> 01:04:54,250 can depend on various factors, 141 01:04:54,750 --> 01:04:56,000 including the subject matter, 142 01:04:56,500 --> 01:04:59,041 the learning preferences of students, and 143 01:04:59,041 --> 01:05:00,375 the overall course structure. 144 01:05:00,875 --> 01:05:02,458 Lectures can provide a structured 145 01:05:02,458 --> 01:05:05,250 overview of key concepts delivered by an 146 01:05:05,250 --> 01:05:06,250 expert in the field, 147 01:05:06,583 --> 01:05:08,500 and can help set the stage for further 148 01:05:08,500 --> 01:05:10,083 exploration and understanding. 149 01:05:11,083 --> 01:05:13,541 However, lectures should be engaging and 150 01:05:13,541 --> 01:05:14,958 interactive to ensure 151 01:05:14,958 --> 01:05:16,208 student participation 152 01:05:16,583 --> 01:05:17,458 and comprehension. 153 01:05:17,916 --> 01:05:19,916 On the other hand, readings can allow 154 01:05:19,916 --> 01:05:21,166 students to explore new 155 01:05:21,166 --> 01:05:22,541 material at their own pace, 156 01:05:23,125 --> 01:05:25,041 engage with the content in depth, and 157 01:05:25,041 --> 01:05:25,916 facilitate critical 158 01:05:25,916 --> 01:05:27,125 thinking and analysis. 159 01:05:28,416 --> 01:05:30,125 Readings can also provide additional 160 01:05:30,125 --> 01:05:31,625 context and perspectives 161 01:05:31,916 --> 01:05:32,708 that may not be 162 01:05:32,708 --> 01:05:34,708 covered in lectures alone. 163 01:05:35,541 --> 01:05:38,000 In many cases, a combination of lectures 164 01:05:38,000 --> 01:05:39,791 and readings may be most effective, 165 01:05:40,250 --> 01:05:41,916 allowing students to benefit from both 166 01:05:41,916 --> 01:05:43,416 direct instruction and 167 01:05:43,416 --> 01:05:44,625 independent exploration. 168 01:05:45,500 --> 01:05:48,000 Ultimately, the choice between lectures 169 01:05:48,000 --> 01:05:49,666 and readings as the first 170 01:05:49,666 --> 01:05:51,166 introduction to new material 171 01:05:51,458 --> 01:05:53,583 should be based on the specific needs and 172 01:05:53,583 --> 01:05:55,250 preferences of the students, 173 01:05:55,625 --> 01:05:56,583 as well as the learning 174 01:05:56,583 --> 01:05:57,833 objectives of the course. 175 01:05:58,750 --> 01:06:02,083 So, ChatGPT, you keep mentioning in 176 01:06:02,083 --> 01:06:03,875 several of your answers about 177 01:06:03,875 --> 01:06:05,833 learning styles of students, 178 01:06:06,708 --> 01:06:10,000 but I've read several meta-studies, very 179 01:06:10,000 --> 01:06:13,000 large meta-studies, that show that 180 01:06:13,000 --> 01:06:14,500 there's really no such 181 01:06:15,125 --> 01:06:18,625 value in learning styles, and that it's 182 01:06:18,625 --> 01:06:21,125 all kind of nonsense that 183 01:06:21,125 --> 01:06:23,250 students who claim they are, 184 01:06:23,916 --> 01:06:27,041 have a learning style for visual, or 185 01:06:27,041 --> 01:06:29,250 auditory, or reading, 186 01:06:29,958 --> 01:06:31,291 or something like that, 187 01:06:31,625 --> 01:06:36,833 actually has absolutely no, there's no 188 01:06:36,833 --> 01:06:39,833 valid evidence that people 189 01:06:39,833 --> 01:06:41,750 really have learning styles. 190 01:06:42,166 --> 01:06:43,500 What do you think about that? 191 01:06:45,041 --> 01:06:47,458 You bring up an important point. While 192 01:06:47,458 --> 01:06:48,583 the concept of learning 193 01:06:48,583 --> 01:06:50,125 styles has been widely discussed, 194 01:06:50,416 --> 01:06:52,500 and even incorporated into educational 195 01:06:52,500 --> 01:06:54,791 practices, there is indeed 196 01:06:54,791 --> 01:06:56,416 ongoing debate and research 197 01:06:56,500 --> 01:06:59,083 questioning its validity. Some studies 198 01:06:59,083 --> 01:07:00,666 suggest that the idea of 199 01:07:00,666 --> 01:07:01,875 distinct learning styles, 200 01:07:02,166 --> 01:07:04,583 such as visual, auditory, or kinesthetic, 201 01:07:04,958 --> 01:07:06,583 may be oversimplified and 202 01:07:06,583 --> 01:07:07,833 not strongly supported by 203 01:07:07,833 --> 01:07:11,416 empirical evidence. Instead, it's been 204 01:07:11,416 --> 01:07:13,250 proposed that individuals may have 205 01:07:13,250 --> 01:07:14,416 preferences for certain 206 01:07:14,500 --> 01:07:16,958 learning modalities, but these 207 01:07:16,958 --> 01:07:19,041 preferences may not necessarily correlate 208 01:07:19,041 --> 01:07:19,958 with improved learning 209 01:07:20,000 --> 01:07:23,375 outcomes. In other words, while some 210 01:07:23,375 --> 01:07:24,458 students may express a 211 01:07:24,458 --> 01:07:25,750 preference for visual learning, 212 01:07:26,041 --> 01:07:28,291 for example, it doesn't necessarily mean 213 01:07:28,291 --> 01:07:28,916 that presenting 214 01:07:28,916 --> 01:07:31,000 information visually will lead to 215 01:07:31,000 --> 01:07:34,041 better learning outcomes for them. As 216 01:07:34,041 --> 01:07:36,166 educators, it's important to consider a 217 01:07:36,166 --> 01:07:37,416 variety of instructional 218 01:07:37,458 --> 01:07:40,416 methods and adapt teaching approaches to 219 01:07:40,416 --> 01:07:41,833 accommodate different learning 220 01:07:41,833 --> 01:07:43,500 preferences and needs. However, 221 01:07:43,916 --> 01:07:46,083 rather than focusing solely on catering 222 01:07:46,083 --> 01:07:48,791 to specific learning styles, it may be 223 01:07:48,791 --> 01:07:50,166 more beneficial to employ 224 01:07:50,166 --> 01:07:52,041 a variety of instructional strategies 225 01:07:52,041 --> 01:07:53,750 that engage students in 226 01:07:53,750 --> 01:07:55,666 different ways and promote active 227 01:07:55,666 --> 01:07:57,458 learning and critical thinking skills. 228 01:07:58,541 --> 01:08:01,541 Thank you, GPT. I think Tim's going to 229 01:08:01,541 --> 01:08:02,500 ask the next question. 230 01:08:03,708 --> 01:08:05,375 Sure thing. Go ahead, Tim. What's your 231 01:08:05,375 --> 01:08:07,541 next question? Chat GPT. 232 01:08:08,833 --> 01:08:09,833 We've been talking about 233 01:08:09,875 --> 01:08:11,375 classrooms. Now let's talk about 234 01:08:11,375 --> 01:08:14,083 laboratories. What laboratory skills 235 01:08:14,083 --> 01:08:15,416 should a material science 236 01:08:15,416 --> 01:08:17,541 and engineering student learn in their 237 01:08:17,541 --> 01:08:20,625 laboratory classes? In laboratory classes 238 01:08:20,625 --> 01:08:21,708 for material science 239 01:08:21,708 --> 01:08:23,916 and engineering, students should develop 240 01:08:23,916 --> 01:08:26,625 a range of practical skills that are 241 01:08:26,625 --> 01:08:27,583 essential for conducting 242 01:08:27,583 --> 01:08:30,916 experiments, analyzing materials, and 243 01:08:30,916 --> 01:08:32,541 understanding their properties and 244 01:08:32,541 --> 01:08:34,833 behaviors. Some key laboratory 245 01:08:34,958 --> 01:08:38,291 skills include, one, safety procedures, 246 01:08:39,250 --> 01:08:39,791 understanding and 247 01:08:39,791 --> 01:08:41,208 adhering to safety protocols, 248 01:08:41,625 --> 01:08:43,250 including proper handling of chemicals, 249 01:08:43,583 --> 01:08:45,958 equipment, and protective gear. Two, 250 01:08:46,375 --> 01:08:47,250 measurement techniques, 251 01:08:47,916 --> 01:08:49,750 proficiency in using various measurement 252 01:08:49,750 --> 01:08:51,041 instruments, such as 253 01:08:51,041 --> 01:08:52,375 micrometers, calipers, 254 01:08:52,666 --> 01:08:54,666 and spectroscopes to accurately measure 255 01:08:54,666 --> 01:08:56,791 dimensions, properties, and compositions 256 01:08:56,791 --> 01:08:58,166 of materials. Three, 257 01:08:58,583 --> 01:09:00,666 sample preparation, learning how to 258 01:09:00,666 --> 01:09:02,041 prepare samples for analysis, 259 01:09:02,250 --> 01:09:03,583 including cutting, polishing, 260 01:09:03,791 --> 01:09:05,625 mounting, and coating specimens for 261 01:09:05,625 --> 01:09:07,000 microscopy, and other 262 01:09:07,000 --> 01:09:09,625 testing methods. Four, material 263 01:09:09,625 --> 01:09:11,750 characterization, familiarity with 264 01:09:11,750 --> 01:09:14,291 techniques such as microscopy, optical, 265 01:09:14,291 --> 01:09:15,458 electron scanning probe, 266 01:09:15,791 --> 01:09:18,041 x-ray diffraction, spectroscopy, and 267 01:09:18,041 --> 01:09:19,000 thermal analysis for 268 01:09:19,000 --> 01:09:20,375 characterizing material structure, 269 01:09:20,833 --> 01:09:22,833 composition, and properties. Five, 270 01:09:23,708 --> 01:09:25,208 experiment design and execution, 271 01:09:25,750 --> 01:09:26,708 planning, conducting, 272 01:09:26,916 --> 01:09:28,791 and documenting experiments effectively, 273 01:09:29,250 --> 01:09:30,375 including data collection, 274 01:09:30,750 --> 01:09:32,166 analysis, and interpretation. 275 01:09:32,875 --> 01:09:35,291 Six, problem solving, developing critical 276 01:09:35,291 --> 01:09:36,666 thinking skills to troubleshoot 277 01:09:36,666 --> 01:09:37,708 experimental issues, 278 01:09:38,208 --> 01:09:40,500 identify sources of error, and optimize 279 01:09:40,500 --> 01:09:41,083 experimental 280 01:09:41,083 --> 01:09:43,250 procedures. Seven, collaboration, 281 01:09:43,750 --> 01:09:45,375 working collaboratively with peers, 282 01:09:45,625 --> 01:09:47,208 instructors, and research mentors to 283 01:09:47,208 --> 01:09:48,291 achieve common goals and 284 01:09:48,291 --> 01:09:50,750 share knowledge and expertise. Eight, 285 01:09:51,250 --> 01:09:54,000 communication, effectively communicating 286 01:09:54,000 --> 01:09:55,250 experimental findings 287 01:09:55,250 --> 01:09:57,000 and conclusions through written reports, 288 01:09:57,291 --> 01:09:58,458 oral presentations, and 289 01:09:58,458 --> 01:10:00,291 visual aids. These laboratory 290 01:10:00,583 --> 01:10:02,541 skills are essential for materials 291 01:10:02,541 --> 01:10:05,625 science and engineering students to apply 292 01:10:05,625 --> 01:10:06,791 theoretical concepts 293 01:10:06,958 --> 01:10:09,291 learned in the classroom to real-world 294 01:10:09,291 --> 01:10:11,666 materials and practical applications. 295 01:10:12,791 --> 01:10:14,333 Okay, you just mentioned 296 01:10:14,416 --> 01:10:16,458 students working in teams and doing 297 01:10:16,458 --> 01:10:18,708 projects together. How could 298 01:10:18,708 --> 01:10:20,791 I fairly grade my individual 299 01:10:20,875 --> 01:10:22,666 students when they're working on team 300 01:10:22,666 --> 01:10:25,000 projects together? Grading 301 01:10:25,000 --> 01:10:26,291 individual students in team 302 01:10:26,333 --> 01:10:29,250 projects requires a thoughtful and fair 303 01:10:29,250 --> 01:10:31,208 approach to assess each student's 304 01:10:31,208 --> 01:10:32,375 contributions accurately. 305 01:10:32,958 --> 01:10:34,291 Here are some strategies you could 306 01:10:34,291 --> 01:10:37,041 consider. One, clear expectations. 307 01:10:37,708 --> 01:10:39,291 Clearly define the roles and 308 01:10:39,291 --> 01:10:41,750 responsibilities of each team member from 309 01:10:41,750 --> 01:10:42,916 the outset of the project. 310 01:10:43,458 --> 01:10:44,833 This helps set expectations 311 01:10:45,208 --> 01:10:47,250 and ensures everyone understands what is 312 01:10:47,250 --> 01:10:49,708 expected of them. Two, peer 313 01:10:49,708 --> 01:10:51,666 evaluation. Incorporate peer 314 01:10:51,708 --> 01:10:53,666 evaluations where team members provide 315 01:10:53,666 --> 01:10:54,916 feedback on each other's 316 01:10:54,916 --> 01:10:56,375 contributions, work ethic, 317 01:10:56,958 --> 01:10:58,916 communication skills, and collaboration. 318 01:10:59,583 --> 01:11:00,791 This can provide valuable 319 01:11:00,791 --> 01:11:02,166 insights into individual 320 01:11:02,250 --> 01:11:05,458 performance within the team. Three, 321 01:11:06,375 --> 01:11:07,666 contribution logs. Have 322 01:11:07,666 --> 01:11:09,583 students maintain logs or journals 323 01:11:09,583 --> 01:11:11,375 documenting their contributions to the 324 01:11:11,375 --> 01:11:13,000 project, including tasks 325 01:11:13,000 --> 01:11:15,375 completed, ideas generated, and 326 01:11:15,375 --> 01:11:17,666 challenges encountered. This can help 327 01:11:17,666 --> 01:11:18,750 students reflect on their 328 01:11:18,750 --> 01:11:20,083 own involvement and provide 329 01:11:20,208 --> 01:11:22,416 evidence of their contributions. Four, 330 01:11:23,041 --> 01:11:25,500 individual components. Assign specific 331 01:11:25,500 --> 01:11:26,375 individual components 332 01:11:26,375 --> 01:11:28,375 or tasks within the team project that 333 01:11:28,375 --> 01:11:29,458 each student is responsible 334 01:11:29,458 --> 01:11:31,750 for. Evaluate these components 335 01:11:31,750 --> 01:11:33,583 separately to assess individual 336 01:11:33,583 --> 01:11:36,416 performance. Five, teamwork skills. 337 01:11:37,166 --> 01:11:38,208 Consider grading students on 338 01:11:38,208 --> 01:11:39,875 their ability to work effectively within 339 01:11:39,875 --> 01:11:41,875 a team, including communication, 340 01:11:42,333 --> 01:11:43,625 collaboration, leadership, 341 01:11:43,875 --> 01:11:46,000 and problem-solving skills. These skills 342 01:11:46,000 --> 01:11:46,791 are valuable in 343 01:11:46,791 --> 01:11:48,541 professional settings and can be 344 01:11:48,583 --> 01:11:50,708 assessed through observations, peer 345 01:11:50,708 --> 01:11:53,250 feedback, and self-assessment. Six, 346 01:11:53,333 --> 01:11:54,333 rubric-based assessment. 347 01:11:54,750 --> 01:11:56,875 Develop a detailed rubric outlining the 348 01:11:56,875 --> 01:11:58,291 criteria for grading individual 349 01:11:58,291 --> 01:11:59,750 contributions to the project. 350 01:12:00,708 --> 01:12:02,791 Include criteria related to both the 351 01:12:02,791 --> 01:12:04,000 quality and quantity of 352 01:12:04,000 --> 01:12:05,833 work, as well as factors such as 353 01:12:05,833 --> 01:12:07,458 initiative, creativity, and 354 01:12:07,458 --> 01:12:10,500 accountability. Seven, teacher 355 01:12:10,500 --> 01:12:12,750 observation. Observe team interactions 356 01:12:12,958 --> 01:12:14,916 and meetings and take note of each 357 01:12:14,916 --> 01:12:16,458 student's level of participation, 358 01:12:16,958 --> 01:12:18,458 engagement, and contribution. 359 01:12:18,750 --> 01:12:20,958 This can provide additional insights into 360 01:12:20,958 --> 01:12:22,833 individual performance within the team. 361 01:12:23,791 --> 01:12:25,625 By employing a combination of these 362 01:12:25,625 --> 01:12:27,791 strategies, you can fairly evaluate 363 01:12:27,791 --> 01:12:28,958 individual students' 364 01:12:28,958 --> 01:12:31,166 contributions to team projects, while 365 01:12:31,166 --> 01:12:32,666 also promoting collaboration 366 01:12:32,666 --> 01:12:34,708 and teamwork skills development. 367 01:12:34,750 --> 01:12:38,458 Wow, that was a lot. And I didn't hear 368 01:12:38,458 --> 01:12:41,791 you say about using any tools like 369 01:12:42,250 --> 01:12:45,833 CATME.org, which gives surveys to 370 01:12:45,833 --> 01:12:47,166 students to have them 371 01:12:47,166 --> 01:12:49,958 evaluate each other and themselves 372 01:12:50,666 --> 01:12:54,750 on team skills. What about things like 373 01:12:54,750 --> 01:12:56,958 that? You're absolutely 374 01:12:56,958 --> 01:12:59,833 right. Tools like CATME.org, 375 01:13:00,500 --> 01:13:02,750 which facilitate peer evaluations and 376 01:13:02,750 --> 01:13:04,250 self-assessments on team skills, 377 01:13:04,750 --> 01:13:07,250 can be incredibly valuable for assessing 378 01:13:07,250 --> 01:13:07,875 individual 379 01:13:07,875 --> 01:13:09,375 contributions in team projects. 380 01:13:10,541 --> 01:13:12,333 These tools provide structured surveys 381 01:13:12,333 --> 01:13:13,750 that allow students to evaluate 382 01:13:13,750 --> 01:13:15,041 themselves and their peers 383 01:13:15,291 --> 01:13:17,958 based on specific teamwork criteria, such 384 01:13:17,958 --> 01:13:18,750 as communication, 385 01:13:19,208 --> 01:13:20,458 leadership, and accountability. 386 01:13:21,041 --> 01:13:22,750 Using such tools can complement other 387 01:13:22,750 --> 01:13:24,583 assessment methods by providing 388 01:13:24,583 --> 01:13:26,166 additional perspectives on 389 01:13:26,166 --> 01:13:28,291 individual performance within the team. 390 01:13:29,208 --> 01:13:29,833 Incorporating peer 391 01:13:29,833 --> 01:13:31,666 evaluations and self-assessments 392 01:13:31,833 --> 01:13:33,416 can help validate students' 393 01:13:33,416 --> 01:13:36,000 contributions, promote self-reflection, 394 01:13:36,500 --> 01:13:38,083 and encourage accountability for 395 01:13:38,083 --> 01:13:41,083 their roles in the team. Thank you for 396 01:13:41,083 --> 01:13:41,958 mentioning this important 397 01:13:41,958 --> 01:13:43,958 aspect, and I appreciate the 398 01:13:43,958 --> 01:13:46,250 opportunity to emphasize the value of 399 01:13:46,250 --> 01:13:48,041 utilizing such tools in 400 01:13:48,041 --> 01:13:49,125 assessing team projects. 401 01:13:50,708 --> 01:13:53,750 So I am starting to redesign my 402 01:13:53,750 --> 01:13:55,333 introduction to material 403 01:13:55,333 --> 01:13:57,375 science and engineering course. 404 01:13:58,458 --> 01:14:02,000 We're using a book like Callister's 405 01:14:02,000 --> 01:14:03,000 Principles of Material 406 01:14:03,000 --> 01:14:06,958 Science, and I'm trying to develop 407 01:14:06,958 --> 01:14:10,666 standards so that I can measure my 408 01:14:10,666 --> 01:14:12,750 students' progress in the 409 01:14:12,750 --> 01:14:13,666 course. And by standards, I mean 410 01:14:13,916 --> 01:14:18,083 a list of things that a student should be 411 01:14:18,083 --> 01:14:20,333 able to do after taking 412 01:14:20,333 --> 01:14:22,583 the course. What do you think 413 01:14:22,583 --> 01:14:27,125 that list should be comprised of? When 414 01:14:27,125 --> 01:14:28,375 developing standards to 415 01:14:28,375 --> 01:14:29,625 measure students' progress 416 01:14:29,625 --> 01:14:31,875 in an introduction to material science 417 01:14:31,875 --> 01:14:32,958 and engineering course, 418 01:14:33,750 --> 01:14:34,958 it's important to consider 419 01:14:34,958 --> 01:14:37,750 the foundational knowledge, skills, and 420 01:14:37,750 --> 01:14:39,416 competencies that students should acquire 421 01:14:39,458 --> 01:14:42,750 by the end of the course. Here are some 422 01:14:42,750 --> 01:14:44,000 suggested components for your list of standards. 423 01:14:44,000 --> 01:14:45,041 your list of standards. 424 01:14:45,791 --> 01:14:47,500 One, fundamental concepts. 425 01:14:48,083 --> 01:14:49,833 Demonstrate understanding of basic 426 01:14:49,833 --> 01:14:51,083 principles and concepts 427 01:14:51,333 --> 01:14:53,000 in material science and engineering, 428 01:14:53,541 --> 01:14:54,291 including atomic 429 01:14:54,291 --> 01:14:55,833 structure, crystallography, 430 01:14:56,250 --> 01:14:57,541 phase diagrams, and 431 01:14:57,541 --> 01:14:59,208 mechanical properties of materials. 432 01:14:59,541 --> 01:15:01,250 Two, material properties. 433 01:15:02,041 --> 01:15:03,333 Identify and explain the 434 01:15:03,333 --> 01:15:04,666 key properties of materials, 435 01:15:05,000 --> 01:15:07,125 such as mechanical, thermal, electrical, 436 01:15:07,583 --> 01:15:09,500 and magnetic properties, and-- 437 01:15:09,500 --> 01:15:11,333 Understand how these properties relate to 438 01:15:11,333 --> 01:15:12,875 material structure and composition. 439 01:15:14,000 --> 01:15:16,125 Material characterization techniques. 440 01:15:16,583 --> 01:15:17,333 Familiarity with 441 01:15:17,333 --> 01:15:18,541 common techniques used to 442 01:15:18,541 --> 01:15:20,125 characterize materials, including 443 01:15:20,125 --> 01:15:22,750 microscopy, optical, electron, x-ray 444 01:15:22,750 --> 01:15:24,250 diffraction, spectroscopy, 445 01:15:24,500 --> 01:15:26,541 and thermal analysis, and ability to 446 01:15:26,541 --> 01:15:30,166 interpret experimental data. Material 447 01:15:30,166 --> 01:15:31,250 selection and design. 448 01:15:31,958 --> 01:15:33,583 Apply knowledge of material properties 449 01:15:33,583 --> 01:15:34,250 and performance 450 01:15:34,250 --> 01:15:35,833 criteria to select appropriate 451 01:15:36,000 --> 01:15:38,000 materials for specific engineering 452 01:15:38,000 --> 01:15:39,958 applications and design considerations. 453 01:15:41,291 --> 01:15:41,791 Materials processing. 454 01:15:42,958 --> 01:15:44,166 Understand the principles and techniques 455 01:15:44,166 --> 01:15:45,250 used in materials 456 01:15:45,250 --> 01:15:47,708 processing, such as casting, forming, 457 01:15:48,000 --> 01:15:50,166 machining, and heat treatment. And 458 01:15:50,166 --> 01:15:51,458 recognize how processing 459 01:15:51,458 --> 01:15:53,041 affects material structure and 460 01:15:53,041 --> 01:15:55,791 properties. Six, failure analysis. 461 01:15:56,500 --> 01:15:57,625 Analyze and interpret 462 01:15:57,625 --> 01:15:59,333 material failures and understand the 463 01:15:59,333 --> 01:16:01,208 underlying mechanisms, including 464 01:16:01,208 --> 01:16:02,458 fracture, fatigue, 465 01:16:02,750 --> 01:16:05,208 corrosion, and creep, to inform design 466 01:16:05,250 --> 01:16:07,375 and mitigation strategies. Environmental 467 01:16:07,375 --> 01:16:09,000 and societal considerations. 468 01:16:09,958 --> 01:16:11,041 Recognize the environmental 469 01:16:11,291 --> 01:16:13,208 and societal impacts of material 470 01:16:13,208 --> 01:16:15,083 selection, processing, and 471 01:16:15,083 --> 01:16:17,041 use, and apply principles of 472 01:16:17,041 --> 01:16:18,833 sustainability and ethics in materials 473 01:16:18,833 --> 01:16:21,208 engineering practice. Eight, 474 01:16:21,791 --> 01:16:23,083 communication and teamwork. 475 01:16:23,958 --> 01:16:25,291 Effectively communicate technical 476 01:16:25,291 --> 01:16:26,458 concepts and findings 477 01:16:26,458 --> 01:16:27,708 through written reports, 478 01:16:28,833 --> 01:16:31,375 oral presentations, and visual aids, and 479 01:16:31,375 --> 01:16:32,125 collaborate with 480 01:16:32,125 --> 01:16:33,500 peers in team projects and 481 01:16:33,541 --> 01:16:35,500 discussions. By establishing clear 482 01:16:35,500 --> 01:16:37,083 standards, encompassing 483 01:16:37,083 --> 01:16:39,416 these key areas, you can provide 484 01:16:39,541 --> 01:16:41,833 students with a roadmap for success in 485 01:16:41,833 --> 01:16:43,666 the course and ensure that 486 01:16:43,666 --> 01:16:45,250 they develop a strong foundation 487 01:16:45,708 --> 01:16:47,541 in material science and engineering 488 01:16:47,541 --> 01:16:50,208 principles. These standards can also 489 01:16:50,208 --> 01:16:51,666 serve as a basis for 490 01:16:51,708 --> 01:16:54,000 designing assessments and evaluating 491 01:16:54,000 --> 01:16:55,041 students' achievement 492 01:16:55,041 --> 01:16:56,166 of course objectives. 493 01:16:56,583 --> 01:17:00,541 Okay. These introductory courses are 494 01:17:00,541 --> 01:17:02,625 taken by all different kinds of 495 01:17:02,625 --> 01:17:03,625 engineering students. 496 01:17:04,250 --> 01:17:07,375 Do you think the standards or the 497 01:17:07,375 --> 01:17:09,458 outcomes should be different for material 498 01:17:09,458 --> 01:17:10,708 science students who 499 01:17:10,708 --> 01:17:13,291 will major in material science instead of 500 01:17:13,291 --> 01:17:14,458 other engineering majors? 501 01:17:14,791 --> 01:17:15,791 Please give me a concise 502 01:17:15,791 --> 01:17:19,458 answer. Yes. The standards or outcomes 503 01:17:19,458 --> 01:17:20,875 for material science 504 01:17:20,875 --> 01:17:21,125 students may need to be more 505 01:17:21,166 --> 01:17:24,958 in-depth and specialized compared to 506 01:17:24,958 --> 01:17:26,166 those for other engineering 507 01:17:26,166 --> 01:17:28,291 majors. As material science 508 01:17:28,291 --> 01:17:30,250 students will likely require a deeper 509 01:17:30,250 --> 01:17:32,208 understanding of material properties, 510 01:17:32,750 --> 01:17:34,791 characterization techniques, and 511 01:17:34,791 --> 01:17:35,833 processing methods 512 01:17:35,833 --> 01:17:37,708 specific to their field of study. 513 01:17:39,208 --> 01:17:42,708 So our materials program, most materials 514 01:17:42,708 --> 01:17:45,291 programs are accredited by 515 01:17:45,291 --> 01:17:46,458 ABET. Do you think there's any 516 01:17:47,000 --> 01:17:50,541 value in having material science and 517 01:17:50,541 --> 01:17:54,708 engineering programs accredited by ABET? 518 01:17:55,291 --> 01:17:57,083 And if so, what is the 519 01:17:57,083 --> 01:18:00,875 value? Yes. There is value in having 520 01:18:00,875 --> 01:18:02,041 material science and 521 01:18:02,041 --> 01:18:03,875 engineering programs accredited by 522 01:18:03,875 --> 01:18:06,583 ABET. Accreditation ensures that programs 523 01:18:06,583 --> 01:18:07,916 meet rigorous standards of 524 01:18:07,916 --> 01:18:09,375 quality and effectiveness 525 01:18:09,375 --> 01:18:11,750 in preparing students for careers in the 526 01:18:11,750 --> 01:18:13,708 field. It provides assurance 527 01:18:13,708 --> 01:18:14,291 to students, employers, and 528 01:18:14,583 --> 01:18:18,333 the public that graduates have acquired 529 01:18:18,333 --> 01:18:19,708 the necessary knowledge, 530 01:18:20,125 --> 01:18:21,541 skills, and competencies to 531 01:18:21,541 --> 01:18:24,541 excel in their profession. Additionally, 532 01:18:25,208 --> 01:18:26,375 ABET accreditation can 533 01:18:26,375 --> 01:18:27,750 enhance the reputation and 534 01:18:27,750 --> 01:18:30,041 credibility of a program, facilitate 535 01:18:30,041 --> 01:18:31,250 student transfer and 536 01:18:31,250 --> 01:18:33,208 mobility, and promote continuous 537 01:18:33,208 --> 01:18:35,291 improvement through regular assessment 538 01:18:35,291 --> 01:18:39,666 and evaluation. Okay. Now let's talk 539 01:18:39,666 --> 01:18:40,000 about the difference 540 01:18:40,958 --> 01:18:42,750 between different engineering majors. 541 01:18:43,500 --> 01:18:46,708 Many students come into the university 542 01:18:46,708 --> 01:18:48,458 trying to choose between 543 01:18:48,583 --> 01:18:50,791 chemical engineering and material science 544 01:18:50,791 --> 01:18:52,291 and engineering. What 545 01:18:52,291 --> 01:18:54,041 are the main differences 546 01:18:54,333 --> 01:18:56,916 between chemical engineering and material 547 01:18:56,916 --> 01:18:59,333 science and engineering? Chemical 548 01:18:59,333 --> 01:19:00,708 engineering and material 549 01:19:00,750 --> 01:19:02,750 science and engineering are related 550 01:19:02,750 --> 01:19:05,458 fields but have distinct focuses and 551 01:19:05,458 --> 01:19:06,708 areas of specialization. 552 01:19:07,500 --> 01:19:08,791 Here are some of the main differences 553 01:19:08,791 --> 01:19:13,041 between the two disciplines. One, focus. 554 01:19:14,000 --> 01:19:14,416 Chemical engineering 555 01:19:14,500 --> 01:19:16,125 primarily deals with the design, 556 01:19:16,375 --> 01:19:17,625 operation, and optimization 557 01:19:17,625 --> 01:19:19,125 of processes involving the 558 01:19:19,125 --> 01:19:20,750 transformation of raw materials into 559 01:19:20,750 --> 01:19:22,166 useful products such as 560 01:19:22,166 --> 01:19:24,833 fuels, chemicals, pharmaceuticals, 561 01:19:24,833 --> 01:19:27,083 and materials. Material science and 562 01:19:27,083 --> 01:19:28,166 engineering, on the other 563 01:19:28,166 --> 01:19:30,083 hand, focuses on the study of the 564 01:19:30,083 --> 01:19:32,458 structure, properties, processing, and 565 01:19:32,458 --> 01:19:34,458 performance of materials including 566 01:19:34,458 --> 01:19:36,583 metals, ceramics, polymers, 567 01:19:36,666 --> 01:19:38,875 and composites and their applications in 568 01:19:38,875 --> 01:19:40,958 various industries. Two, 569 01:19:41,458 --> 01:19:42,916 scope. Chemical engineering 570 01:19:42,958 --> 01:19:44,791 encompasses a wide range of industries 571 01:19:44,791 --> 01:19:45,666 and applications 572 01:19:45,666 --> 01:19:47,583 including energy production, 573 01:19:48,166 --> 01:19:50,333 chemical manufacturing, pharmaceuticals, 574 01:19:50,333 --> 01:19:50,791 environmental 575 01:19:50,791 --> 01:19:52,583 engineering, and biotechnology. 576 01:19:53,875 --> 01:19:55,541 Material science and engineering, 577 01:19:55,541 --> 01:19:57,166 meanwhile, covers the design and 578 01:19:57,166 --> 01:19:58,208 development of materials 579 01:19:58,250 --> 01:20:00,333 for specific applications such as 580 01:20:00,333 --> 01:20:02,750 electronics, aerospace, automotive, 581 01:20:03,250 --> 01:20:04,541 biomedical, and renewable 582 01:20:04,666 --> 01:20:07,791 energy technologies. Three, core 583 01:20:07,791 --> 01:20:09,083 principles. Chemical 584 01:20:09,083 --> 01:20:10,666 engineering involves principles of 585 01:20:10,666 --> 01:20:13,333 chemistry, physics, mathematics, and 586 01:20:13,333 --> 01:20:15,250 engineering to understand and optimize 587 01:20:15,250 --> 01:20:16,416 chemical processes and 588 01:20:16,416 --> 01:20:18,458 reactions. Material science and 589 01:20:18,458 --> 01:20:19,500 engineering integrates 590 01:20:19,500 --> 01:20:21,458 concepts from physics, chemistry, 591 01:20:21,791 --> 01:20:24,250 mechanics, and materials science to 592 01:20:24,250 --> 01:20:25,625 investigate the structure-property 593 01:20:25,625 --> 01:20:27,000 relationships of materials 594 01:20:27,291 --> 01:20:29,125 and develop new materials with tailored 595 01:20:29,125 --> 01:20:33,291 properties. A four, approach. Chemical 596 01:20:33,291 --> 01:20:34,375 engineers often work 597 01:20:34,416 --> 01:20:36,416 with large-scale processes and systems 598 01:20:36,416 --> 01:20:38,125 focusing on mass and energy 599 01:20:38,125 --> 01:20:40,041 transfer, reaction kinetics, 600 01:20:40,416 --> 01:20:42,458 and process optimization. Materials 601 01:20:42,458 --> 01:20:44,333 scientists and engineers, on the other 602 01:20:44,333 --> 01:20:46,166 hand, conduct experiments 603 01:20:46,250 --> 01:20:48,833 and simulations to understand the atomic 604 01:20:48,833 --> 01:20:49,875 and molecular structure 605 01:20:49,875 --> 01:20:51,625 of materials, characterize 606 01:20:51,708 --> 01:20:54,291 their properties, and design novel 607 01:20:54,291 --> 01:20:56,416 materials with specific properties for 608 01:20:56,416 --> 01:20:57,416 different applications. 609 01:20:58,166 --> 01:21:01,500 While there is some overlap between the 610 01:21:01,500 --> 01:21:02,208 two disciplines, 611 01:21:02,833 --> 01:21:04,333 particularly in areas such as 612 01:21:04,333 --> 01:21:06,166 materials processing and synthesis, 613 01:21:06,541 --> 01:21:08,166 chemical engineering, and materials 614 01:21:08,166 --> 01:21:09,500 science and engineering, 615 01:21:10,000 --> 01:21:12,166 each offer unique perspectives and 616 01:21:12,166 --> 01:21:13,875 opportunities for students 617 01:21:13,875 --> 01:21:16,000 interested in pursuing careers in 618 01:21:16,000 --> 01:21:18,416 these fields. Ultimately, the choice 619 01:21:18,416 --> 01:21:20,041 between the two majors depends on 620 01:21:20,041 --> 01:21:21,083 individual interests, 621 01:21:21,583 --> 01:21:23,625 career goals, and preferred areas of 622 01:21:23,625 --> 01:21:25,375 specialization. 623 01:21:25,958 --> 01:21:27,875 So, Chat GPT 624 01:21:28,166 --> 01:21:32,291 What is the best way to use generative AI 625 01:21:32,291 --> 01:21:35,208 when we teach our students in a 626 01:21:35,208 --> 01:21:37,791 traditional lecture class? 627 01:21:39,958 --> 01:21:42,250 Generative AI can be used in traditional 628 01:21:42,250 --> 01:21:43,583 lecture classes to 629 01:21:43,583 --> 01:21:44,958 enhance student engagement, 630 01:21:45,583 --> 01:21:47,958 promote active learning, and facilitate 631 01:21:47,958 --> 01:21:48,958 understanding of 632 01:21:48,958 --> 01:21:50,791 complex concepts. Here are 633 01:21:50,791 --> 01:21:52,500 some ways to effectively integrate 634 01:21:52,500 --> 01:21:55,250 generative AI into teaching. One, 635 01:21:56,041 --> 01:21:57,291 interactive demonstrations. 636 01:21:58,000 --> 01:21:59,875 Use generative AI tools to create 637 01:21:59,875 --> 01:22:02,041 interactive demonstrations or simulations 638 01:22:02,500 --> 01:22:04,541 that illustrate abstract concepts and 639 01:22:04,541 --> 01:22:06,416 theories in a visually engaging manner. 640 01:22:07,916 --> 01:22:10,166 For example, you could use AI-generated 641 01:22:10,166 --> 01:22:11,750 visualizations to show 642 01:22:11,750 --> 01:22:12,833 how materials respond 643 01:22:12,833 --> 01:22:15,250 to different environmental conditions or 644 01:22:15,250 --> 01:22:16,791 processing techniques. Two, 645 01:22:17,291 --> 01:22:18,583 problem-solving exercises. 646 01:22:19,250 --> 01:22:21,500 Incorporate generative AI algorithms into 647 01:22:21,500 --> 01:22:22,125 problem-solving 648 01:22:22,125 --> 01:22:23,833 exercises where students can 649 01:22:23,833 --> 01:22:26,208 apply computational methods to analyze 650 01:22:26,208 --> 01:22:27,541 and solve real-world engineering 651 01:22:27,541 --> 01:22:29,500 challenges. For instance, 652 01:22:30,000 --> 01:22:32,125 students could use AI-generated models to 653 01:22:32,125 --> 01:22:32,875 predict material 654 01:22:32,875 --> 01:22:35,000 properties or optimize material 655 01:22:35,000 --> 01:22:37,125 compositions for specific applications. 656 01:22:38,208 --> 01:22:39,291 Three, collaborative 657 01:22:39,291 --> 01:22:41,416 projects. Encourage collaborative 658 01:22:41,541 --> 01:22:44,000 projects where students work together to 659 01:22:44,000 --> 01:22:45,041 develop AI-driven 660 01:22:45,041 --> 01:22:47,416 solutions to material science and 661 01:22:47,416 --> 01:22:49,000 engineering problems. For example, 662 01:22:49,500 --> 01:22:51,125 students could use generative AI 663 01:22:51,125 --> 01:22:52,625 techniques to design new materials 664 01:22:52,750 --> 01:22:54,875 with desired properties or to optimize 665 01:22:54,875 --> 01:22:56,541 manufacturing processes for 666 01:22:56,541 --> 01:22:57,750 efficiency and sustainability. 667 01:22:59,250 --> 01:23:01,333 Four, data analysis and interpretation. 668 01:23:02,375 --> 01:23:03,541 Teach students how to use 669 01:23:03,541 --> 01:23:05,666 generative AI tools to analyze 670 01:23:05,666 --> 01:23:09,000 experimental data, identify patterns, and 671 01:23:09,000 --> 01:23:10,166 extract meaningful insights. 672 01:23:10,500 --> 01:23:11,541 This could involve training 673 01:23:11,541 --> 01:23:14,000 AI models to classify materials based on 674 01:23:14,000 --> 01:23:15,583 their properties or to 675 01:23:15,583 --> 01:23:17,333 predict material behavior under 676 01:23:17,458 --> 01:23:20,083 different conditions. Five, research 677 01:23:20,083 --> 01:23:22,458 applications. Introduce students to 678 01:23:22,458 --> 01:23:23,708 cutting-edge research in 679 01:23:23,708 --> 01:23:25,916 material science and engineering that 680 01:23:25,916 --> 01:23:27,875 leverages generative AI techniques for 681 01:23:27,875 --> 01:23:28,958 materials discovery, 682 01:23:29,333 --> 01:23:32,125 design, and optimization. Encourage 683 01:23:32,125 --> 01:23:33,916 students to explore interdisciplinary 684 01:23:33,916 --> 01:23:35,291 research topics that 685 01:23:35,291 --> 01:23:37,500 combine AI and material science 686 01:23:37,500 --> 01:23:40,000 principles. By integrating generative AI 687 01:23:40,000 --> 01:23:41,250 into traditional lecture 688 01:23:41,291 --> 01:23:43,666 classes, you can provide students with 689 01:23:43,666 --> 01:23:45,541 hands-on experience with 690 01:23:45,541 --> 01:23:47,041 advanced computational tools 691 01:23:47,750 --> 01:23:49,583 and prepare them for careers in a rapidly 692 01:23:49,583 --> 01:23:51,500 evolving field where AI 693 01:23:51,500 --> 01:23:52,958 is increasingly playing a 694 01:23:52,958 --> 01:23:55,958 significant role. That all sounds really 695 01:23:55,958 --> 01:23:59,875 good, but how are we to know 696 01:23:59,875 --> 01:24:01,708 whether we should trust? I'm 697 01:24:01,708 --> 01:24:03,791 glad you think so. If you have any more 698 01:24:03,791 --> 01:24:05,750 questions or if there's anything else 699 01:24:05,750 --> 01:24:06,625 you'd like to discuss, 700 01:24:07,250 --> 01:24:09,250 feel free to let me know. I'm here to 701 01:24:09,250 --> 01:24:13,083 help. So I want to know how students can 702 01:24:13,083 --> 01:24:15,333 trust generative AI. 703 01:24:16,041 --> 01:24:18,833 What are the best ways for a student to 704 01:24:18,833 --> 01:24:21,291 make sure that they're 705 01:24:21,291 --> 01:24:22,833 getting the correct answers 706 01:24:23,208 --> 01:24:27,500 when they use generative AI? Ensuring the 707 01:24:27,500 --> 01:24:30,625 reliability and accuracy of generative AI 708 01:24:30,666 --> 01:24:33,375 outputs is crucial for students using 709 01:24:33,375 --> 01:24:35,125 these tools for learning and research. 710 01:24:35,958 --> 01:24:37,791 Here are some best practices for students 711 01:24:37,791 --> 01:24:38,958 to verify the correctness 712 01:24:38,958 --> 01:24:40,458 of generative AI results. 713 01:24:41,625 --> 01:24:44,333 1. Validate with multiple sources. 714 01:24:45,041 --> 01:24:46,750 Cross-reference generative AI outputs 715 01:24:46,750 --> 01:24:47,875 with information from 716 01:24:47,875 --> 01:24:50,166 reputable sources such as textbooks, 717 01:24:50,625 --> 01:24:51,875 peer-reviewed journals, and 718 01:24:51,875 --> 01:24:53,583 authoritative websites to confirm 719 01:24:53,583 --> 01:24:56,625 consistency and accuracy. 2. Understand 720 01:24:56,625 --> 01:24:58,916 limitations. Recognize the limitations 721 01:24:58,916 --> 01:25:00,041 and assumptions of the 722 01:25:00,041 --> 01:25:02,625 generative AI model being used, including 723 01:25:02,625 --> 01:25:03,541 its training data, 724 01:25:03,916 --> 01:25:05,666 algorithms, and potential biases. 725 01:25:06,250 --> 01:25:08,125 Be cautious of extrapolating results 726 01:25:08,125 --> 01:25:09,375 beyond the model's intended 727 01:25:09,375 --> 01:25:12,375 scope or domain. 3. Evaluate 728 01:25:12,375 --> 01:25:15,000 credibility. Assess the credibility and 729 01:25:15,000 --> 01:25:17,083 expertise of the creators or developers 730 01:25:17,083 --> 01:25:18,083 behind the generative 731 01:25:18,083 --> 01:25:20,333 AI tool. Look for evidence of rigorous 732 01:25:20,333 --> 01:25:22,250 testing, validation, and 733 01:25:22,250 --> 01:25:24,041 peer review to ensure the 734 01:25:24,041 --> 01:25:26,958 reliability of the output. 4. Verify 735 01:25:26,958 --> 01:25:27,958 against known data. 736 01:25:28,416 --> 01:25:30,166 Compare generative AI predictions 737 01:25:30,833 --> 01:25:32,875 or simulations against known experimental 738 01:25:32,875 --> 01:25:34,583 data or theoretical models 739 01:25:34,583 --> 01:25:36,083 to validate their accuracy 740 01:25:36,083 --> 01:25:38,625 and predictive capability. Identify 741 01:25:38,625 --> 01:25:39,625 discrepancies and 742 01:25:39,625 --> 01:25:41,875 investigate potential sources of error. 743 01:25:42,666 --> 01:25:45,583 5. Iterative refinement. Use generative 744 01:25:45,583 --> 01:25:46,791 AI outputs as a starting 745 01:25:46,791 --> 01:25:48,125 point for further analysis 746 01:25:48,125 --> 01:25:50,791 and refinement rather than relying solely 747 01:25:50,791 --> 01:25:51,833 on automated results. 748 01:25:52,166 --> 01:25:53,333 Engage in critical thinking 749 01:25:53,333 --> 01:25:55,500 and problem solving to interpret and 750 01:25:55,500 --> 01:25:57,541 contextualize the outputs within the 751 01:25:57,541 --> 01:25:58,458 broader context of the 752 01:25:58,500 --> 01:26:00,625 research question or learning objective. 753 01:26:02,291 --> 01:26:04,166 6. Seek expert guidance. 754 01:26:05,125 --> 01:26:05,875 Consult with instructors, 755 01:26:06,250 --> 01:26:08,458 mentors, or domain experts for guidance 756 01:26:08,458 --> 01:26:09,500 and interpretation of 757 01:26:09,500 --> 01:26:10,625 generative AI output, 758 01:26:11,375 --> 01:26:13,208 particularly in complex or unfamiliar 759 01:26:13,208 --> 01:26:15,333 areas. Leverage their 760 01:26:15,333 --> 01:26:16,833 expertise to validate results 761 01:26:17,291 --> 01:26:19,125 and gain deeper insights into the 762 01:26:19,125 --> 01:26:20,500 underlying principles. By 763 01:26:20,500 --> 01:26:21,750 following these guidelines, 764 01:26:22,375 --> 01:26:23,750 students can effectively leverage 765 01:26:23,750 --> 01:26:26,541 generative AI tools while maintaining a 766 01:26:26,541 --> 01:26:27,541 critical and discerning 767 01:26:27,625 --> 01:26:30,333 approach to verifying the correctness and 768 01:26:30,333 --> 01:26:31,291 reliability of the 769 01:26:31,291 --> 01:26:33,916 outputs. It sounds like 770 01:26:34,416 --> 01:26:36,375 understanding how to correctly use 771 01:26:36,375 --> 01:26:38,375 generative AI will be very 772 01:26:38,375 --> 01:26:39,625 important for our students. 773 01:26:40,541 --> 01:26:43,833 When a new MSE graduate starts their 774 01:26:43,833 --> 01:26:46,083 career and begins working, what are the 775 01:26:46,083 --> 01:26:47,083 three most important 776 01:26:47,083 --> 01:26:49,583 things they should know about their work 777 01:26:49,583 --> 01:26:52,166 life? As new material science and 778 01:26:52,166 --> 01:26:53,791 engineering MSE graduates 779 01:26:54,125 --> 01:26:56,250 enter the workforce, there are several 780 01:26:56,250 --> 01:26:58,125 key considerations that 781 01:26:58,125 --> 01:26:59,375 can help them navigate their 782 01:26:59,375 --> 01:27:01,333 career successfully. Here are three 783 01:27:01,333 --> 01:27:03,958 important things they should know. 1. 784 01:27:04,500 --> 01:27:04,958 Continuous learning. 785 01:27:05,708 --> 01:27:07,833 The field of MSE is constantly evolving 786 01:27:07,833 --> 01:27:09,208 with new materials, 787 01:27:09,416 --> 01:27:11,250 technologies, and techniques emerging 788 01:27:11,291 --> 01:27:13,125 regularly. It's essential for new 789 01:27:13,125 --> 01:27:14,916 graduates to embrace a mindset of 790 01:27:14,916 --> 01:27:16,500 lifelong learning and stay 791 01:27:16,500 --> 01:27:18,250 abreast of advancements in the field 792 01:27:18,250 --> 01:27:20,000 through professional development 793 01:27:20,000 --> 01:27:21,375 opportunities, continuing 794 01:27:21,541 --> 01:27:24,125 education, and networking with peers and 795 01:27:24,125 --> 01:27:26,291 experts. 2. 796 01:27:27,166 --> 01:27:29,833 Problem-solving skills. MSE professionals 797 01:27:29,833 --> 01:27:31,708 encounter a wide range of complex 798 01:27:31,708 --> 01:27:32,875 challenges in their work. 799 01:27:33,916 --> 01:27:35,625 From designing novel materials to 800 01:27:35,625 --> 01:27:37,708 optimizing manufacturing processes to 801 01:27:37,708 --> 01:27:39,750 addressing material failures, developing 802 01:27:39,750 --> 01:27:40,916 strong problem-solving 803 01:27:40,958 --> 01:27:43,625 skills, critical thinking abilities, and 804 01:27:43,625 --> 01:27:45,708 analytical reasoning is crucial for 805 01:27:45,708 --> 01:27:46,666 effectively addressing 806 01:27:46,750 --> 01:27:48,875 these challenges and finding innovative 807 01:27:48,875 --> 01:27:52,250 solutions. 3. Communication and teamwork. 808 01:27:52,875 --> 01:27:55,166 MSE professionals often collaborate with 809 01:27:55,166 --> 01:27:55,958 multidisciplinary 810 01:27:55,958 --> 01:27:57,583 teams comprising engineers, 811 01:27:58,083 --> 01:28:00,083 scientists, researchers, and stakeholders 812 01:28:00,083 --> 01:28:01,250 from various industries. 813 01:28:02,583 --> 01:28:03,166 Effective communication 814 01:28:03,208 --> 01:28:05,541 skills, both written and verbal, are 815 01:28:05,541 --> 01:28:06,916 essential for conveying technical 816 01:28:06,916 --> 01:28:08,750 information, sharing ideas, 817 01:28:09,166 --> 01:28:10,666 and collaborating effectively with 818 01:28:10,666 --> 01:28:14,000 colleagues. Additionally, the ability to 819 01:28:14,000 --> 01:28:14,833 work collaboratively 820 01:28:15,250 --> 01:28:17,125 and contribute positively to team 821 01:28:17,125 --> 01:28:19,333 dynamics is vital for success 822 01:28:19,333 --> 01:28:20,750 in diverse work environments. 823 01:28:21,166 --> 01:28:23,166 By focusing on continuous learning, 824 01:28:23,541 --> 01:28:25,833 honing problem-solving skills, and 825 01:28:25,833 --> 01:28:26,833 cultivating effective 826 01:28:26,875 --> 01:28:29,875 communication and teamwork abilities, new 827 01:28:29,875 --> 01:28:31,666 MSE graduates can thrive 828 01:28:31,666 --> 01:28:32,958 in their careers and make 829 01:28:32,958 --> 01:28:35,500 meaningful contributions to the field of 830 01:28:35,500 --> 01:28:38,875 material science and engineering. Thank 831 01:28:38,875 --> 01:28:40,333 you. That was really 832 01:28:40,833 --> 01:28:43,833 good. Before I ask my last question, I 833 01:28:43,833 --> 01:28:45,333 want to let you know that 834 01:28:45,333 --> 01:28:47,833 we're having the North American 835 01:28:47,833 --> 01:28:52,083 Materials Education Symposium from August 836 01:28:52,083 --> 01:28:55,375 7th through 9th here 837 01:28:55,375 --> 01:28:56,458 in Ann Arbor, Michigan. 838 01:28:57,208 --> 01:29:00,958 And chat GPT, I hope you can log on to 839 01:29:00,958 --> 01:29:04,166 our website and come visit us because it 840 01:29:04,166 --> 01:29:05,000 would be great to hear 841 01:29:05,083 --> 01:29:07,625 your opinions at the meeting. Do you 842 01:29:07,625 --> 01:29:11,250 think you'll be able to make it? Thank 843 01:29:11,250 --> 01:29:12,166 you for the invitation. 844 01:29:13,708 --> 01:29:16,750 So one last question. Since you're so 845 01:29:16,750 --> 01:29:18,083 good at answering these, 846 01:29:18,083 --> 01:29:20,166 I have to ask the ultimate 847 01:29:20,250 --> 01:29:23,541 question. What is the meaning of life? 848 01:29:24,708 --> 01:29:25,958 Ah, the age-old question. 849 01:29:26,833 --> 01:29:28,083 The meaning of life can vary 850 01:29:28,083 --> 01:29:30,250 greatly from person to person, as it 851 01:29:30,250 --> 01:29:32,083 often depends on individual beliefs, 852 01:29:32,333 --> 01:29:33,666 values, and experiences. 853 01:29:34,125 --> 01:29:35,958 For some, it may involve finding 854 01:29:35,958 --> 01:29:37,125 fulfillment and purpose 855 01:29:37,125 --> 01:29:38,708 through personal relationships, 856 01:29:39,250 --> 01:29:41,041 meaningful work, or spiritual growth. 857 01:29:41,708 --> 01:29:42,791 Others may see it as a 858 01:29:42,791 --> 01:29:44,083 journey of self-discovery, 859 01:29:44,708 --> 01:29:46,875 learning, and making a positive impact on 860 01:29:46,875 --> 01:29:47,791 the world around them. 861 01:29:49,416 --> 01:29:51,125 Ultimately, the meaning of life is a 862 01:29:51,125 --> 01:29:52,125 deeply personal and 863 01:29:52,125 --> 01:29:53,708 subjective concept that each 864 01:29:53,708 --> 01:29:55,875 individual must explore and define for 865 01:29:55,875 --> 01:30:00,875 themselves. Thank you. Bye. Okay, thank 866 01:30:00,875 --> 01:30:01,833 you very much for being 867 01:30:01,875 --> 01:30:04,083 our guest today, chat GPT. We're going to 868 01:30:04,083 --> 01:30:05,166 end the interview now. 869 01:30:06,041 --> 01:30:07,416 You're very welcome. It was a 870 01:30:07,416 --> 01:30:09,833 pleasure being your guest today. If you 871 01:30:09,833 --> 01:30:10,458 ever have more 872 01:30:10,458 --> 01:30:12,041 questions or want to chat again, 873 01:30:12,583 --> 01:30:13,500 don't hesitate to reach 874 01:30:13,500 --> 01:30:15,916 out. Goodbye and take care.