Generative AI × English Learning: Surprisingly Similar Learning Processes Explained!
- 1. GENERATIVE AI × ENGLISH LEARNING STRIKINGLY SIMILAR EXPLAIN THE LEARNING PROCESS! ～Generative AI Learning Process And Learning English for non-native speakers I‘m following the same process～
- 2. WHAT I NOTICED AFTER TAKING THE INTRODUCTORY LECTURE ON AI Unfamiliar AI learning process terminology. They are similar to the thoughts that non- native speakers are unconsciously working when learning English.
- 3. COMMON CONCEPTS OF AI TERMINOLOGY AND ENGLISH LEARNING Supervised Learning Classification of words Pronunciation clustering Conversation practice using the K-neighborhood method Regression analysis of grammar rules Thoughts in the process of learning English AI terminology to learn in Introduction to AI Supervised Learning classification Clustering K-Neighborhood Method Regression analysis 1. 2. 3. 4. 5. Sentence comprehension by naïve Bayes Trade-offs between bias and variance Advanced applications with neural networks Practice & Feedback Reinforcement learning Naive Bayes Trade-offs between bias and variance neural network Practice & Feedback Reinforcement learning 6. 7. 8. 9. 10.
- 4. Now, let's get started with the main part!! For one keyword, The first page is the title, and the second page is the description. Supervision, Chat GPT, Illustration, Microsoft copilot Designer. Enjoy!
- 5. 1. START SUPERVISED LEARNING （SUPERVISED LEARNING）
- 6. 1. START SUPERVISED LEARNING （SUPERVISED LEARNING） AI Term: Supervised Learning First steps in learning English "Learn grammar and vocabulary under the guidance of a teacher“. At this stage, you will need to consider the rules provided by the teacher and the Learn by example and solve practice problems Deepen your understanding.
- 7. 2. CLASSIFICATION OF WORDS （CLASSIFICATION）
- 8. 2. CLASSIFICATION OF WORDS （CLASSIFICATION） When learning new words, we divide them into categories such as verbs, nouns, and adjectives. Through this classification work, you will understand the role and usage of each word. AI Term: Classification Learn the "classification of parts of speech" of words.
- 10. 3. PRONUNCIATION CLUSTERING （CLUSTERING） Pronunciation practice involves grouping words with similar pronunciations and practicing them repeatedly. This makes it easier to recognize patterns in pronunciation. AI Term: Clustering (K-means) Practice pronunciation.
- 11. 4. CONVERSATION PRACTICE USING THE K-NEIGHBORHOOD METHOD （K-NEAREST NEIGHBORS,KNN）
- 12. 4. CONVERSATION PRACTICE USING THE K-NEIGHBORHOOD METHOD （K-NEAREST NEIGHBORS,KNN） Learn phrases that are used in real conversations, and learn new expressions from frequently used phrases. AI term: K-Nearest Neighbor Method Learn Phrases.
- 13. 5. REGRESSION ANALYSIS OF GRAMMAR RULES （REGRESSION ANALYSIS）
- 14. 5. REGRESSION ANALYSIS OF GRAMMAR RULES （REGRESSION ANALYSIS） Understand the rules of grammar and create new sentences based on them. This improves your ability to predict and generate sentences with accurate grammar. AI Term: Regression Analysis Learn how to use grammar
- 15. 6. SENTENCE COMPREHENSION BY NAÏVE BAYES （REGRESSION ANALYSIS）
- 16. 6. SENTENCE COMPREHENSION BY NAÏVE BAYES （NAIVE BAYES） Guess the meaning of a word or phrase based on the context. It is a process to help you understand in reading comprehension questions. AI Term: Naive Bayes Learn "Deepening Understanding from Context"
- 17. 7. TRADE-OFFS BETWEEN BIAS AND VARIANCE （BIAS-VARIANCE TRADEOFF）
- 18. 7. TRADE-OFFS BETWEEN BIAS AND VARIANCE （BIAS-VARIANCE TRADEOFF） In the early stages of learning, we use a lot of basic phrases, but there is little variation. As you progress, you will learn more complex expressions and apply them in a variety of situations. AI term: The trade-off between bias and variance Learn to "increase the variation of phrases"
- 19. 6. ADVANCED APPLICATIONS WITH NEURAL NETWORKS （NEURAL NETWORKS）
- 20. 8. ADVANCED APPLICATIONS WITH NEURAL NETWORKS （NEURAL NETWORKS） Listening, speaking, Reading and Writing Practice each skill in an integrated manner. This will improve your overall English proficiency. AI Term: Neural Networks Learning with a "Combination of Skills"
- 21. 9. PRACTICE & FEEDBACK （REAL-WORLD APPLICATION AND FEEDBACK）
- 22. 9. PRACTICE & FEEDBACK （REAL-WORLD APPLICATION AND FEEDBACK） You will use English in your daily life and work, find areas for improvement based on the feedback you get, and practice further. This will help you improve your skills. AI Term: Practice and Feedback Learn to "use and improve the English you have learned"
- 23. 10. REINFORCEMENT LEARNING （REINFORCEMENT LEARNING）
- 24. 10. REINFORCEMENT LEARNING （REINFORCEMENT LEARNING） In English conversation practice and practice, you will receive feedback on the expressions and actions you use, and you will proceed with your learning based on that. For example, it is the process of actually having a conversation at an English conversation café and correcting your expressions while receiving the other person's reactions and corrections. Repeating successful experiences (correct grammar and expressions) reinforces proper language use. AI Term: Reinforcement Learning Learning with "Success Experiences"
- 25. SUMMARY Understanding the similarities between the AI learning process and everyday learning methods, such as those found in learning English, may provide hints for mutually efficient learning. ©2024 Haru. @All rights reserved. Thank you always, generative AI , Chat GPT!! Scenario, text supervision: ChatGPT Illustration by Microsoft Copilot Designer PowerPoint Assistant: Haru