Project-MOONSHOT ACADEMY

AI Unraveled: Delving Into the Debates on Artificial Intelligence

Disciplines/Subjects: Pre-Advanced English - Nonfiction Key Themes: Human Relationship with Technology, Machine Intelligence, Computational Creativity, AI Ethics, Narrative (Media Representation) of AI This project invites students to become thought leaders by exploring the complexities of AI and its connections to intelligence, creativity, and ethics. Tackling controversial topics, they aim to spark curiosity, challenge misconceptions, and inspire critical thinking about AI's impact on the future. Students begin by selecting a contested issue in artificial intelligence to investigate. They gather perspectives through surveys, informal conversations, and real-world examples, using their findings to shape a thesis and driving question. To support their position, students are required to use case examples to illustrate and support their argument. The project culminates in an 800–1200-word essay, complemented by a creative cover page, showcasing their insights and discoveries. Students are also expected to share their views in an engaging presentation that raises awareness about the AI issue and encourages personal reflection on their learning journey. To extend their advocacy, they design a compelling postcard to communicate their message and spark dialogue beyond the classroom. Through this work, students develop expertise, promote informed perspectives, and inspire meaningful conversations about one of the most critical topics of our time.

Romeo & Juliet: Textual Analysis Report

Disciplines/Subjects: Pre-Intermediate-level English Key Themes: Can Shakespeare's view of love and worldview still define intimacy in contemporary society? This final PA of this semester allows students to demonstrate their understanding of literary analysis through Shakespeare's Romeo and Juliet. Building on prior work with word choice, character development, and analyzing sonnets, students will explore three key areas: Word Choice – Investigating why knowing the play's ending is crucial before viewing it. Development – Examining whether love truly causes personal growth in the characters. Theme/Central Idea – Defining the concept of "love" as presented in the play. Throughout this unit, students will apply their analytical skills to explore how Shakespeare uses language and character evolution to convey complex themes of love and fate. This project deepens their critical thinking while synthesizing previous learnings into a cohesive portfolio.

Kapuscinski's Iran: A Poland in Disguise?

Disciplines/Subjects: AP English Language and Composition Key Themes: In his reporting on the Iranian revolution, Ryszard Kapuscinki created a narrative that seemed to speak beyond that singular moment. Under the surface, readers found allegories, parallels, and universal truths about the nature of revolutions, political power, continuity, and change. Framing these (and controversially potentially compromising the reportage on them) is the artistic power of Kapuscinski's poetic imagination which in turn opens questions about the conventions and responsibilities of the artist and reporter in their relationship to language itself. We read this text in the second semester as a way to deepen our reading and writing skills for the course. It allowed for the presentation of a range of texts (historical writing, speeches, conventional journalism, opinion writing, and literary work) and allowed for a deep examination of the conventions of them - something we began in the previous unit with the conventions of scientific texts. At the same time, this unit allowed students to learn about two important parts of the world that they might not be too familiar with. The summative assessment for the unit provides the learners with the opportunity to refine and extend their skills on an AP-style assessment: either the synthesis or analytical essay.

Presenting the "Hero"

Disciplines/Subjects: Advanced World Literature Key Themes: In this study of Mikhail Yurievich Lermontov's A Hero of Our Time, we explore how Lermontov's romanticism shapes themes such as "the edges of empire", "agency & fate", and "loyalty & betrayal". The unit begins with an introduction to imperial Russian history and culture and how these were shaped both by internal and external influences, such as geopolitical, intellectual, and artistic currents. With this base, over a month we explore how Lermontov explored such issues in his classic novel A Hero of Our Time (1841). The summative assessment for the unit is for learners to plan and perform a presentation that both knowledgeably and creatively explores an artistic or thematic concern that arises from the text.

Principal Components Analysis: Theory and Application

Disciplines/Subjects: Mathematics, Linear Algebra, Statistics, Machine Learning Key Themes: Matrix Decomposition, Dimensionality Reduction, Statistical Modeling, Real-World Applications This project explores the application of Principal Components Analysis (PCA) as a statistical tool for dimensionality reduction in real-world datasets. Starting with the foundational theory, learners learn the relationship between Singular Value Decomposition (SVD) and PCA, and how PCA can address common statistical dilemmas such as high dimensionality in data. Using Python, learners apply PCA to the "Prostate Cancer" dataset, exploring how the method extracts the most important components for predicting prostate-specific antigen (PSA) levels from various clinical measurements. Through this process, learners identify and analyze the principal components, evaluate the results, and compare the PCA-derived model with traditional linear regression models. The project emphasizes both the mathematical theory behind PCA and its practical application in data science. In addition, learners write their own PCA code from scratch using SVD, reflecting on the underlying algorithm and comparing their implementation to established Python instructions.

Exploring Pre-Calculus Concepts Through Real-World Applications

Disciplines/Subjects: Mathematics, Pre-Calculus, Applied Mathematics Key Themes: Mathematical Modeling, Real-World Applications, Exploration of Pre-Calculus Topics This project allows learners to choose a topic from the Pre-Calculus curriculum and explore its application in a real-world context. Topics may include polynomial and rational functions, exponential and logarithmic functions, or trigonometric and polar functions. Learners will conduct research, develop mathematical models, solve example problems, and discuss real-world applications. For instance, the sample work explores how trigonometric functions model sound waves, demonstrating the mechanics of music and sound. The project encourages creativity, critical thinking, and a deeper understanding of how mathematical concepts relate to practical scenarios.

Applying Calculus to Real-World Problem Solving

Disciplines/Subjects: Mathematics, Calculus, Applied Mathematics Key Themes: Mathematical Modeling, Optimization, Differentiation, Integration In this project, learners will apply their knowledge of calculus to analyze and solve a real-world problem. The project may involve mathematical modeling, optimization techniques, and the use of differentiation and integration to understand and optimize systems such as transportation, economics, engineering, or environmental processes. Learners will create a comprehensive report that includes mathematical models, calculations, and graphs, and will present their findings in a 5-10 minute oral presentation. This project encourages creativity and critical thinking in applying calculus concepts to practical situations.

Exploring Statistical Methods Through Real-World Data

Disciplines/Subjects: Statistics, Data Analysis, Research Methods Key Themes: Statistical Testing, Data Collection, Sampling Methods, Data Visualization In this project, learners will choose a topic of personal interest and conduct a statistical research study using real-world data. The project will involve collecting data through appropriate sampling methods, applying statistical tests learned throughout the course (such as z-tests, t-tests, chi-square tests, and tests for slope), and analyzing the data using mathematical calculations and graphical representations. Learners will interpret the results to identify patterns and relationships and present their findings in a clear, organized statistical report.

Project

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