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ホワイトハウスへのレース:大統領選挙に関するゲーム

この1回限りのコースでは、学生は実際の世論調査データをゲームで使用し、大統領選挙の仕組みと2020年の大統領選挙の結果の両方を理解するのに役立ちます。
Edmond David Hally, PhD
平均評価:
4.9
レビュー数:
(315)
クラス

含まれるもの

1 ライブミーティング
1 時間 15 分 授業時間
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

What factors make a candidate more likely to win the Presidential election?  Is it campaign funding?  Likability?  Issues?  Or does a crafty candidate need to worry about all of the above?

In this lesson, students will learn about how pollsters and academics predict election outcomes and why so many of these models were wrong in 2016.  The class will play a game I designed.  The game uses uses real life polling and election data from August and September of 2020 to model what happened in the 2020 election, although the lessons from the game are applicable to any modern presidential election.

After a brief lesson on the basics of election polling and prediction, the majority of the lesson will be the game.  Students may choose to play on Team Democrat, Team Republican, work for a 3rd party candidate, or be an election observer.  The game will focus on the 10 swing states that had the most attention and impact in the 2020 election.  The candidates will use their resources to maximize their likability, their campaign outreach, and more closely align with the voters of the states they're fighting over.

Because I encourage students to express their opinions on the election and the candidates, we will begin class with a discussion about how to have productive and respectful conversations and debates about politics.  We'll establish early ground rules such as using respectful language, avoiding ad hominem attacks, and backing up claims with credible evidence.  As the instructor, I will not be sharing my opinions on the candidates (from 2020 or potential future candidates), other than discussing what factors influenced their relative chances at winning the election.  I keep these observations out of the realm of speculation; now that the election has passed, many of the indicators that are used to predict elections held up fairly well.

NOTE:  In order to make sure this class is fun, safe, and productive with everyone, parents and learners should familiarize themselves with the Outschool Community Standards before signing up for this class and follow them once class starts (https://support.outschool.com/en/articles/16039-community-standards).   I reserve the right to move students to the waiting room or remove them from class if they depart from the standards.
学習到達目標
Students will learn how pollsters and academics use public opinion data to make predictions about elections.  Students will also learn how the election landscape of 2020 lead to its outcome.
学習目標

その他の情報

保護者へのお知らせ
This class focuses on the solely strategy that campaigns use to win battleground states; it doesn't delve into any of the specific issues addressed by the candidates in the campaign. If students bring these issues up, we may discuss the more appropriate ones while adhering to the guidelines for respectful discussion covered at the beginning of class. In all other ways, this class adheres to the class content policy established by Outschool. It presents facts and ideas that are grounded in science, in this case, social science polling methodology. It uses real world evidence (voter data) to simulate possible election outcomes. I avoid discussing my own viewpoints or vote choices with the students, although I'm happy to discuss the students' own preferences in a neutral and unbiased way.
受講に必要なもの
Any game materials will be posted in the Outschool classroom.  Students will choose their roles at the beginning of the game using these materials at the beginning of the game.
外部リソース
このクラスでは、Outschool内のクラスルームに加えて、以下を使用します。
参加しました April, 2020
4.9
315レビュー
プロフィール
教師の専門知識と資格
I have been teaching Political Science courses at the college level since 2002.  My B.A. is in Elementary Education and Political Science.  I have both published and presented research on the use of games in the college classroom.

レビュー

ライブワンタイムクラス
共有

$15

クラス毎
一度のみの受講
75 分

42 人がクラスを受けました
オンラインライブ授業
年齢: 10-14
クラス人数: 3 人-9 人

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