$140
per session含まれるもの
オンデマンドで会う
必要に応じて会議をスケジュールする55 分
セッションごと教師のサポート
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
英語レベル - 不明
米国の学年 9 - 12
Beginner - Advanced レベル向け
Q: What will be taught? A: In every 55-minute session, I focus on the student’s top three areas of opportunity. We work on key concepts and build a solid understanding through similar practice problems and guided review of past challenges. Subjects covered include (but are not limited to): - Most Information Systems/Computer Science K-12, Bachelor, Master, and Doctorate courses including Computer Science, IT, Python, R, JS/CSS, HTML/XML, Java, C/C++/C#, Visual Basic, Assembly, AI, Data Science, Web/Mobile Apps, Full Stack, and more. - Most academic standardized exams/papers/etc. including APs, IBs, and GCSEs (contact me to confirm, but by default I cover all exams that overlap with the academic areas mentioned above) Q: What topics will be covered? A: Topics are tailored to the individual’s needs. Depending on what the student brings, we may cover fundamental theories, targeted practice exercises, or reviews of missed problems in classwork and homework—always reinforcing core strategies. Q: How is the class structured? A: Each session starts with a brief review of previous material, followed by focused instruction on selected topics, interactive problem solving, and a final recap to consolidate learning. The structure ensures we cover all key areas efficiently. Q: How will you teach? A: I use a multi-modal approach— including combining brief lectures, interactive discussions, real-time Q&A, digital whiteboard work, engaging slides, and occasional video clips to illustrate concepts. This variety helps maintain focus and adapt to each student’s learning style. Q: What is your teaching style? A: My style is supportive, patient, and results-driven. I emphasize understanding the "why" behind each step rather than simply giving answers. I encourage active participation and independent thinking while offering guidance as needed. Q: How do students interact during the session? A: Interaction is a core part of the learning process. Students are invited to ask questions throughout, solve problems live, and discuss ideas. This ensures that every session is a dialogue rather than a one-sided lecture. Q: How should families prepare for a session? A: I recommend that each student comes ready with at least three specific areas or topics they’d like help with. In addition, any relevant materials should be scanned into a digital format and shared ahead of time so we can maximize our 55 minutes together. Q: Will you complete graded assignments? A: No. While I help students learn strategies to approach their assignments by working on similar problems and examples, I do not complete any graded work for them. This approach is designed to reinforce independent learning and uphold academic integrity. Q: Are all materials and resources used compliant with copyright/trademark guidelines? A: Yes, all resources are used with proper permission. I ensure that any trademarked or copyrighted material in my teaching is appropriately cleared and credited.
学習到達目標
Deepen Conceptual Understanding: Students will develop a strong grasp of core concepts, theories, and problem-solving techniques relevant to their course material.
Improve Analytical Skills: Students will learn how to break down complex problems into manageable parts and apply systematic strategies to reach a solution.
その他の情報
学習ニーズ
This class supports diverse learners including ADHD, dyslexia, and ASD with interactive tools, clear visuals, and structured lessons to ensure every student feels supported.
受講の前提条件
For AI & Data Science, I strongly recommend exposure to basic Python at a minimum as we build on that Python coding knowledge. Prior exposure is helpful in all subjects, but sessions are tailored to meet each learner’s level.
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
None by default, but we may access standard, related resources like Khan Academy, CrackAP, AP Classroom/FRQs, and/or OpenStax as needed. For coding, Visual Studio, Repl.it, Programiz, Jupyter, or similar IDE (depending on the language) is strongly recommended.
先生について
教師の専門知識と資格
2 学位
修士号 Keller Graduate School of Managementから 経営管理学 へ
学士号 DeVry Universityから 経営管理学 へ
I bring over 26 years of experience as an educator and technical professional with a proven track record in one-on-one and group tutoring as well as classroom environments. I’ve worked with learners ranging from elementary school to graduate-level, consistently earning high praise and 5‑star feedback for my ability to break down complex concepts into accessible, actionable steps.
Extensive Tutoring & Academic Leadership:
In my recent role as a Premium Professional Tutor & Faculty Leader, I delivered well over 10,000 hours of personalized instruction across disciplines—including Economics, Mathematics, Computer Science, and much more — tailoring my approach to each student’s unique needs. As an Adjunct Professor, I taught business research, analytics, and statistics, further honing my skills in delivering engaging, structured content. Beyond that, I have extensive experience in the business world ranging from JPMorgan Chase to universities to government.
Curriculum Design & Personalized Instruction:
As President & Educator at On the Rise Education, I create and implement innovative learning strategies that blend remote instruction with interactive tools. My experience in curriculum design and academic leadership means that every session is carefully structured to empower students to learn independently while building critical analytical and problem-solving skills.
Working with Diverse Learners:
I have a longstanding history of working with children and young adults in a variety of settings—from traditional school environments to remote and specialized educational programs for diverse learning needs. My instructional techniques are designed to support students with varying abilities, ensuring that every learner has the best opportunity to succeed.
Academic Credentials & Professional Development:
I am in the dissertation stage of my Doctorate in Business Administration, Finance, and Information Systems Management, along with achieving a 4.0 GPA while attaining my Master’s in Business Administration & Information Systems Management degree. My advanced studies, combined with practical teaching experiences, enable me to provide insights grounded in both theory and real-world applications.
My teaching style is supportive, patient, and adaptive - focused on empowering students to discover their own strengths while reinforcing academic integrity and independent problem-solving. For more detailed background, please see my LinkedIn profile.
レビュー
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