LEARN EFFICIENCY and PRODUCE EFFICACY in ChatGPT era
The D-SAT prep course in ChatGPT era
Welcome to Mind2Learn, the cutting-edge test preparation course made for Digital SAT! Our unique methodology, the Unified Models, is based on our latest research in Natural Language Processing (NLP) and is designed to teach you the skills you need to excel on the SAT reading, writing, and math sections. With the new Digital SAT replacing the paper-based test by the end of 2023, it's critical to renew your test-taking strategies. That's where Mind2Learn comes in to play. Our Unified Models 5.0 are specifically designed to help you navigate the challenges of the new Digital SAT, including the underlining logics of the new SAT question-design. Our approach uses five basic value pairs to understand the question, identify logical keys, eliminate wrong choices, and narrow down options, and reach the correct answer. Using these values, we can help you quickly and accurately complete Digital SAT questions, boosting you to the best chance of success on test day. Whether you are a high school freshman or sophomore preparing for your first SAT, or a seasoned junior or senior test-taker looking to improve your score, our program is designed to meet your testing needs. Our experienced instructors are dedicated to helping you achieve your goals, and our comprehensive curriculum is tailored to address the specific challenges of the Digital SAT. If you're ready to take your Digital SAT performance to the highest level, sign up for Mind2Learn today and experience the power of our Unified Models approach! For materials and lessons, please go to Flogs |
ChatGPT时代的机考SAT备考课程
欢迎致询Mind2Learn,这是一套全新的、针对Digital SAT 考试的准备课程!我们独特的归化模型法,是基于Frank老师(微信公众号里的朽石君)对于自然语言处理(NLP)研究成果开发出来的。这套解题方法,旨在教授针对Digital SAT阅读、写作和数学上的答题技能,让你在下次考试中获得个人的最高分。 众所周知,Digital SAT 即将在 2023 年底取代笔考。现在就学习使用更新的应考策略,比以往任何时刻都更为重要。这正是 Mind2Learn 的效能所在。我们的归化模型5.0,是特别为应对新的机考模式的挑战而设计更新的方法。这里,我们以新机考时代的SAT问题设计逻辑和简捷高效的解题思路来助力你的机考。 归化模型5.0,基于我们独创的五维价值体系基础来理解问题、识别关键字信息、排除错误逻辑的选项,从而缩小选项范围并最后得出正确答案。归化模型课程教你快速而准确地解答Digital SAT 问题,特别是阅读、语法和词汇题,保证你在考试中的最佳成功机会。掌握了归化模型的五维价值,你解题过程就像ChatGPT一样神速。 无论是准备参加Digital SAT 首考的高一或高二学生,还是经验丰富的高三或高四考生,都可以参加这套创新课程。我们有经验丰富的教师致力于帮你实现目标,也有全面的课程计划专门针对SAT机考 的特殊挑战。你将学会在不读文章的条件下对阅读题的答案一目了然,以及在不懂高中数学知识的条件下解出SAT数学问题。 如果你计划迅速提升自己的机考SAT水平,不想在无聊的标化考试上耽误时间的话,请立即参加 Mind2Learn的课程,并体验归化模型方法的威力! 更多的有关本课程信息,请访问我的博客Flogs |
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ACT CLASS
Here are the performance results from our students in each of their stages, breaking down to 15-20, 21-25, 26-30, and 31-33:
I ) 31-33 (based on 2021-2022 data) Average at Beginning: E/M/R/S: 33/34/32/34 Average at Completion: E/M/R/S: 35/36/34/36 Average Gain: + 3 |
II ) 26-30 (based on 2021-2022 data) Average at Beginning: E/M/R/S: 29/33/26/31 Average at Completion: E/M/R/S: 34/36/33/35 Average Gain: + 5 |
III ) 21-25 (based on 2021-2022 data) Average at Beginning: E/M/R/S: 24/28/22/24 Average at Completion: E/M/R/S: 32/32/30/30 Average Gain: + 6 |
IV ) 15-20 (based on 2021-2022 data) Average at Beginning: E/M/R/S: 21/18/20/17 Average at Completion: E/M/R/S: 30/30/30/30 Average Gain: + 10 |
SAT improvements
Here are the performance results from our students in each of their stages, breaking down to 1400+, 1300-1400, 1200-1300, 1100-1200, 1000-1100 and below 1000:
I ) 1400 + (based on 2017-2022 data) Average at Beginning: English 670; Math 760 Average at Completion: English 750; Math 790 Average Gain: + 110 |
II ) 1300 - 1400 (based on 2017-2022 data) Average at Beginning: English 600; Math 750 Average at Completion: English 700; Math 790 Average Gain: + 140 |
III ) 1200 - 1300 (based on 2017-2022 data)
Average at Beginning: English 550; Math 720 Average at Completion: English 640; Math 790 Average Gain: + 160 V ) 1000 - 1100 (based on 2017-2022 data)
Average at Beginning: English 520; Math 530 Average at Completion: English 650; Math 670 Average Gain: + 270 |
IV ) 1100 - 1200 (based on 2017-2022 data)
Average at Beginning: English 500; Math 630 Average at Completion: English 600; Math 730 Average Gain: + 200 VI ) 00s - 1000 (based on 2017-2022 data)
Average at Beginning: English 350; Math 430 Average at Completion: English 420; Math 590 Average Gain: + 230 |