Shoot & Score: Hypothesis to Hoop-Success!

Design for Mastery Kit

NEW

9th Grade Project 4 weeks

Shoot & Score: Hypothesis to Hoop-Success!

Andrew M

AI-F.IF.5

AI-F.IF.6

AI-F.IF.7

AI-F.LE.5

AI-S.ID.1

+ 6 more

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Purpose

This project engages 9th-grade students in exploring the relationship between variables through data collection and analysis. Students chose topics to study related to their personal interests. One group chose basketball as a topic, and they will examine how shooting accuracy improves through consistent practice. Another group chose baking as a topic of interest and they will analyze how different recipes of cookies compare in popularity by offering a taste test and collecting ratings from tasters on a survey. Students will formulate hypotheses, gather and analyze data using T Charts and graphing coordinates, and create visual representations of their findings. This hands-on experience fosters critical thinking, self-directed learning, and community involvement, culminating in a video montage and presentation that showcases their insights and growth. The project kicks off with the launch of a basketball club, where students host a shooting competition among peers, setting the stage for practical application and community engagement. Through this experiential learning process, students develop a deeper understanding of mathematical concepts such as mean, median, mode, Y-intercept, domain, range, slope, and their application in real-world contexts.

Learning goals

Students will develop the ability to explore the relationship between two variables. They will identify dependent and independent and dependent variables, formulate hypotheses about how one variable affects another variable, and collect data to test their hypothesis and identify causal relationships. They will enhance their data collection and analysis skills, using T Charts, histograms, and graphical representations to interpret and communicate findings. Through collaboration with community partners, like the Kingston Boys and Girls Club, and peers, students will refine their understanding of statistical concepts like mean, median, mode, domain, range, and rate of change, while critically reflecting on the implications of their findings. The project will also incorporate skills from other subject areas such as writing a professional email, developing SMART goals, digital graphic design and video editing. Additionally, students will cultivate self-directed learning and critical thinking skills by engaging in peer feedback and iterative revisions of their work.

Standards

[New York] AI-F.IF.5 - Determine the domain of a function from its graph and, where applicable, identify the appropriate domain for a function in context.
[New York] AI-F.IF.6 - Calculate and interpret the average rate of change of a function over a specified interval.
[New York] AI-F.IF.7 - Graph functions and show key features of the graph by hand and by using technology where appropriate.
[New York] AI-F.LE.5 - Interpret the parameters in a linear or exponential function in terms of a context.
[New York] AI-S.ID.1 - Represent data with plots on the real number line (dot plots, histograms, and box plots).
[New York] AI-S.ID.6 - Represent bivariate data on a scatter plot, and describe how the variables' values are related.
[New York] AI-S.ID.7 - Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.
[New York] AI-S.ID.9 - Distinguish between correlation and causation.

Competencies

Self Directed Learning - Students use teacher and peer feedback and self-reflection to monitor and direct their own learning while building self knowledge both in and out of the classroom.
Academic Mindset - Students establish a sense of place, identity, and belonging to increase self-efficacy while engaging in critical reflection and action.
Critical Thinking & Problem Solving - Students consider a variety of innovative approaches to address and understand complex questions that are authentic and important to their communities.

Products

Students will create a comprehensive poster that visually represents the data collected, highlighting key features such as domain, range, y-intercept, and average rate of change. They will also produce a video montage documenting their practice sessions and skill development over time, illustrating the relationship between practice and performance. Additionally, students will prepare a presentation to share their hypothesis, data collection process, and analysis, using graphs and statistical interpretations to demonstrate their understanding of the variables' interactions and outcomes. The project will launch with students organizing and initiating a basketball club and hosting an inaugural event of a shooting competition among peers and staff, allowing students to apply their learning in a real-world context. Community partners, such as representatives from the Kingston Boys and Girls Club, will be invited to attend and potentially sponsor the event, enhancing the project's impact and connection to the broader community.

Launch

To kick off the project, students will form a basketball club and host a three-point competition among peers and staff, creating an engaging and collaborative environment. Representatives from the Kingston Boys and Girls Club will be invited to attend and potentially sponsor the event, fostering community involvement. Students will also write letters to professional basketball players, inviting them to contribute video shout-outs for the final project montage, adding an exciting real-world connection to the launch.

Exhibition

Students will showcase their projects in a dynamic exhibition event, where they will present their findings to peers, staff, and invite community partners such as the Kingston Boys and Girls club. Students will display a poster featuring the graph and analysis of their findings, and present a video montage highlighting their collective practice journey and skill development. The video montage could potentially even include clips of celebrities or community partners giving students a shout out and recognizing their accomplishments. This exhibition will encourage interactive discussions, allowing students to explain their data interpretations and receive feedback from attendees.