AIウィザード協会：人工知能をマスターする未来はここにあります 13〜18歳
人工知能 (AI) の魅力的な世界を探索しましょう。私たちのクラスでは、AI の原理、応用、倫理について学びます。実践的な AI スキルで若者の心を育て、次世代の AI 愛好家や専門家を育成します。
Smart & Glam
平均評価:
4.8
レビュー数:(4)
含まれるもの
2 ライブミーティング
週あたりの授業時間数 1宿題：
Type of Homework: Students will have a mix of individual and group projects to complete as homework. Individual assignments may include coding tasks or research on AI-related topics. Group projects will encourage collaboration, allowing students to work together on more extensive AI-related tasks. Time Commitment: Homework time can vary, but on average, students can expect to spend approximately 1 to 2 hours on homework per week. This allows for a manageable workload while ensuring they have time to absorb the class material. Reading Assignments: Reading assignments may include articles, case studies, or research papers related to AI. These readings will be carefully selected to be age-appropriate and relevant to the class topics. On average, learners may be expected to read around 5-10 pages of material independently per week. The homework assignments are thoughtfully designed to complement the class content and provide students with opportunities to apply what they've learned in both individual and collaborative settings.テスト
In this AI class, learner progress is assessed through a combination of methods to provide a well-rounded evaluation: Informal Assessment: Regular discussions and Q&A sessions during class help gauge students' understanding and engagement. Questions, polls, and open dialogues are used to assess comprehension. Hands-On Projects: The completion of hands-on AI projects serves as a practical assessment of their ability to apply what they've learned. Group Assignments: Group projects and collaborative assignments allow students to demonstrate teamwork and communication skills while working on AI-related tasks. Participation and Engagement: Active participation in class activities, discussions, and group work is a significant part of the assessment. Engaged learners often have a deeper understanding of the material. Quizzes or Tests: Periodic quizzes or tests may be used to evaluate their grasp of essential AI concepts and principles. Homework Evaluation: Homework assignments, whether individual or group-based, are assessed for completeness and quality. Final Project: A culminating AI project at the end of the course allows students to showcase their comprehensive understanding and practical skills. Feedback and Reflection: Learners may be encouraged to provide self-assessments and reflections on their progress, fostering self-awareness and metacognition. The goal is to assess students' AI knowledge and skills holistically, taking into account their engagement, practical abilities, and understanding of AI concepts. Assessment methods are designed to be constructive, supportive, and focused on facilitating growth and learning.この文章は自動翻訳されています
このクラスで学べること
Dive into the exciting world of Artificial Intelligence! Learn AI principles, explore hands-on projects, and discover the ethical aspects of AI. Inspire the next generation of AI enthusiasts and experts. What Will Be Taught? Each week, we will do AMAZING things with AI like writing a novel, creating a coloring book and more with AI! In this AI class, students will embark on a comprehensive journey through the world of Artificial Intelligence. They will gain a deep understanding of AI principles, explore its real-world applications, and tackle ethical considerations related to AI development. Topics Covered: Introduction to AI: We'll begin with a historical overview and the role AI plays in our daily lives. AI Fundamentals: Dive into essential concepts like machine learning, neural networks, and data analysis. Hands-On AI Projects: Engage in practical AI projects such as image recognition, chatbots, and even AI-powered game development. Ethical AI: Explore the ethical dimensions of AI, addressing issues like bias, privacy, and responsible AI development. AI in the Real World: Investigate how AI impacts industries like healthcare, finance, and transportation. AI and Problem Solving: Develop critical thinking and problem-solving skills using AI tools. Class Structure: Each session will combine structured learning with hands-on exploration. We'll begin with a discussion of key concepts, followed by practical exercises. Sessions are interactive and engaging, encouraging students to ask questions and actively participate. Teaching Style: I employ a student-centered teaching approach, focusing on fostering curiosity and critical thinking. I use a combination of lectures, discussions, practical activities, and multimedia resources like video clips to make learning dynamic and fun. Interaction and Engagement: Students will have plenty of opportunities to interact with both the instructor and their peers. We'll have lively discussions, hands-on projects, and group activities. I believe in fostering a supportive and collaborative learning environment. Required Experience or Knowledge: No prior experience in AI is necessary. This class is designed for students who have a passion for learning and an interest in AI. Enthusiasm and a curious mind are the only prerequisites!
学習到達目標
Understanding AI Principles: Students will grasp the foundational principles of Artificial Intelligence, including the history and significance of AI in our modern world.
AI Fundamentals: They will develop a solid understanding of key AI concepts, such as machine learning, neural networks, and data analysis.
Hands-On AI Skills: Through practical projects, students will gain hands-on experience in AI, including creating image recognition systems, chatbots, and AI-driven games.
Ethical Considerations: Students will explore the ethical aspects of AI, learning to identify and address issues like bias, privacy concerns, and the responsible development of AI technologies.
Real-World Applications: They will discover how AI is employed in various industries, from healthcare to finance and transportation.
Problem-Solving with AI: Students will develop critical thinking and problem-solving skills by applying AI tools to real-world challenges.
By the end of the class, students will be equipped with the knowledge and practical skills needed to understand, engage with, and make informed decisions about Artificial Intelligence.
その他の情報
受講に必要なもの
PLEASE be ready for the class, with your computer and signed in to all your accounts! *no third party tools needed Materials Provided by Instructor: Curriculum materials, including presentations, handouts, and resources related to AI principles. Access to any required software or online tools for AI projects. (Specify if any subscriptions or costs are involved.) Materials Learners Will Need: A computer or laptop with internet access: This is essential for accessing online resources, participating in virtual AI projects, and attending online classes. Optional Materials (if available and affordable): A notebook and writing utensils for taking notes during class. Any additional materials for hands-on AI projects, such as a camera for image recognition activities or access to specific software if not provided. The core class materials will be provided, but having access to a computer or laptop with internet connectivity is crucial for participation in the class and hands-on AI projects. If specific additional materials are required for certain activities, learners will be informed in advance.
外部リソース
学習者は、Outschoolが提供する基本ツール以外のアプリやウェブサイトを使用する必要はありません。
使用する教材
Textbooks and Online Resources:
"Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig.
Online resources like the MIT OpenCourseWare on AI, which offers lecture notes and materials.
Articles and Research Papers:
Research papers from reputable AI conferences such as NeurIPS, ICLR, and ICML, which provide insights into the latest AI developments.
Articles from AI-related journals and magazines like "AI Magazine" or "Communications of the ACM."
Websites and Online Platforms:
Online AI courses from platforms like Coursera, edX, and Udacity can be a valuable resource for supplementary materials and practical exercises.
Open Source AI Tools and Libraries:
OpenAI's documentation and GitHub repositories for AI-related projects can be referenced for practical coding and development activities.
AI Ethics and Responsible AI Guidelines:
Documents from organizations like the Partnership on AI, which provide guidelines on ethical AI development, fairness, and transparency.
参加しました October, 2023
4.8
4レビュー
教師の専門知識と資格
1 先生は学士号を取得しています
学士号 Robert Gordon University and B.H.M.S Lucerneから
Meet Teacher Andi, a seasoned Art Teacher hailing from the vibrant arts scene of Puerto Rico. With a rich background in art education and a profound understanding of digital art tools, Andi is your guide on a transformative artistic journey.
Education and Expertise:
Hold on tight as Andi's expertise unfolds—holding a Bachelor's degree in Fine Arts with a specialization in Digital Arts. With several years of experience, Andi has honed the craft of teaching art and design to students across various age groups.
Digital Art Proficiency:
Andi navigates the digital canvas with finesse, wielding the power of Affinity, Procreate, and Blender. Their proficiency in these digital art tools ensures a comprehensive exploration of the digital realm.
Inclusive Learning Environment:
Andi's teaching approach is a blend of encouragement, creativity, and support. Step into an inclusive classroom atmosphere that fosters individual expression and creativity.
Whether you're a budding artist or have some experience under your belt, Teacher Andi is ready to nurture your artistic skills, guiding you through the world of digital art with expertise and enthusiasm. Join in and unleash your creative potential!レビュー
ライブグループクラス
$55
毎週 ( $28クラスごとに )週に2回
30 分
6 人がクラスを受けました
オンラインライブ授業
年齢: 13-18
クラス人数： 3 人-9 人
