このコースについて
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100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

初級レベル

約15時間で修了

推奨:4 weeks of study, 3-5 hours per week ...

英語

字幕:英語

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

初級レベル

約15時間で修了

推奨:4 weeks of study, 3-5 hours per week ...

英語

字幕:英語

シラバス - 本コースの学習内容

1
1時間で修了

Course Orientation

2件のビデオ (合計12分), 3 readings, 1 quiz
3件の学習用教材
Are You Wanting UC, San Diego transcript credit?5 分
Engagement and Assessment Goals5 分
Using Googledoc Templates in this Class5 分
1の練習問題
Orientation Quiz - Make Sure you Know the Score7 分
4時間で修了

Data Collection

7件のビデオ (合計19分), 5 readings, 9 quizzes
7件のビデオ
In Your Experience: HTTPS1
Check Your Knowledge2
What is Teacher Powerup?2 分
Check Your Knowledge2
5件の学習用教材
Internet Privacy Test Tool Activity10 分
Where's my interactive reading grade?3 分
Cookies: What You Need To Know40 分
The Web vs The Internet8 分
Secure Web Browsing: HTTPS15 分
2の練習問題
Mastery Quiz Part 124 分
Mastery Quiz Part 224 分
2
4時間で修了

Data Privacy

5件のビデオ (合計3分), 8 readings, 4 quizzes
5件のビデオ
In Your Experience: Deep Dark Web1
Check Your Knowledge2
8件の学習用教材
What does your ISP (Internet Service Provider) know about you?8 分
Why Not Redesign The Internet to Be Secure?6 分
How Bad Should You Feel About Not Reading "Terms and Conditions"?11 分
Domain Name Systems12 分
Cryptography Keeps Information Safe10 分
Keeping Information Secure on the Internet: Hashing and Encryption14 分
SSL Certificates2 分
Secrets of the Deep Dark Web15 分
2の練習問題
Mastery Quiz Part 120 分
Mastery Quiz Part 220 分
3
4時間で修了

Data Use

4件のビデオ (合計2分), 3 readings, 8 quizzes
4件のビデオ
Check Your Knowledge2
3件の学習用教材
Machine Learning Methods: Supervised vs. Unsupervised13 分
Activity: Train a Neural Network20 分
Optional: How Siri Works
2の練習問題
Mastery Quiz Part 110 分
Mastery Quiz Part 212 分
4
4時間で修了

Impacts of Computing and Pedagogy

6件のビデオ (合計28分), 5 readings, 6 quizzes
6件のビデオ
In Your Experience: What Are These Questions Asking?1
Bloom's Taxonomy3 分
Check Your Knowledge2
5件の学習用教材
Preview: FACT #23 Guided Reciprocal Peer Questioning10 分
So How Would I Teach With That?4 分
Extra Teacher Resources
Let's Experience It!3 分
Different Approaches to Supporting Learning5 分
2の練習問題
Retrieval Practice Quiz: Any answer full points22 分
Mastery Quiz4 分

講師

Avatar

Beth Simon

Teaching Professor
Education Studies

カリフォルニア大学サンディエゴ校について

UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory....

About the Teaching Impacts of Technology in K-12 Education専門講座

2% That’s the estimate of how many high school students in all of California took a Computer Science class in 2015. And yet, computers and data are everywhere. Just consider a typical 24 hours in your life … how many different computer devices do you use? We all live in multiple digital worlds that are changing rapidly with new apps, devices, and data analyses offering a constant stream of innovations and technology integrations for our lives. As it's an integral part of our lives, we’re working towards computer science for all - making it possible for every student, every future member of society, to understand computing and technology. To do so, we need teachers. Teachers prepared to both teach computational concepts and use best practices so kids enjoy and see they can be successful in computer science. This is where you (and this Specialization) come in! In this Specialization you will both learn about the impacts of computing in our world and how to teach these impacts to K-12 students. We offer both the technical knowledge and also the pedagogical approaches for teaching these concepts. Along the way you’ll engage with freely available materials you can use in your own classroom, as well as learn from teachers currently teaching these concepts in their classrooms. In short - in this Specialization we'll teach you the computing concepts you need to know and then help you explore and evaluate lesson plans and resources to prepare you for your classroom....
Teaching Impacts of Technology in K-12 Education

よくある質問

  • 修了証に登録すると、すべてのビデオ、テスト、およびプログラミング課題(該当する場合)にアクセスできます。ピアレビュー課題は、セッションが開始してからのみ、提出およびレビューできます。購入せずにコースを検討することを選択する場合、特定の課題にアクセスすることはできません。

  • コースに登録する際、専門講座のすべてのコースにアクセスできます。コースの完了時には修了証を取得できます。電子修了証が成果のページに追加され、そこから修了証を印刷したり、LinkedInのプロフィールに追加したりできます。コースの内容の閲覧のみを希望する場合は、無料でコースを聴講できます。

  • How does Amazon know what to suggest you buy? In this course you’ll explore how collection and analysis of our personal data impacts our technology use -- including concerns about our data privacy. You’ll explore underlying technical concepts around cybersecurity and machine learning that contribute to both the pros and cons of our personal data use. After successfully completing this course you will be able to:

    [1] Discuss current ways in which personalized data impacts how we “see” things on the internet and ways in which companies are using our data.

    [2] Explain key aspects of web technology responsible for collecting, managing and analyzing our data, including internet design issues (cookies, secure web transfer protocols, DNS, deep and dark web), cryptography (ciphers, hashing, encryption), and machine learning and AI (neural networks, recommender systems, speech recognition).

    [3] Enact pedagogical knowledge in computer science-specific contexts, including retrieval-based learning, learning with simulators, and creating learning objectives. You’ll explore how one might use a “fun” children’s fiction book for teaching computing concepts.

  • Yes! This course is designed as component of a Specialization that is 1 of a set of 4 Specializations (all will be offered on Coursera) that will support the requirements of the California Supplementary Authorization. Additionally, the Specialization may support credentialing or authorization in other states. However, most states require a transcript from an accredited institution of higher education. See the FAQ question on “Will I earn university credit” to find out how to get such a transcript.

  • Yes, you can earn UCSD credit for completing this course, but only by completing the full Teaching Impacts of Technology in K-12 Education Specialization. In addition, you will need to (1) Enroll in an additional UCSD Extension course before completing the capstone ($500) and (2), complete part of the capstone project via an online proctoring service. After this is done, your Specialization course grades will be accumulated and a transcript with your final grade (both letter grade or pass-only supported) will be issued from UCSD with 4 graduate-level units. These are eligible to count towards the California Supplementary Authorization.

  • There is no background knowledge, neither in education nor in Computer Science, required to take this course - just an interest in learning computational concepts about the technology that surrounds us and how to best teach those concepts to others.

    Basic proficiency in the use of Googledocs will be needed to complete assignments within the course. Google help documentation will be provided, and with some extra attention, first time use of Googledocs should not be a barrier to successful completion of the course.

  • By providing this course online, our goal is to enable you to master all the material in the course at a pace that is appropriate for you, rather than the typical processes of picking a specific date and measuring how much you can learn by that date of in-person courses. Instead of the relatively bigger chunks of learning work found in traditional courses (e.g. go to class, read the book, do homework, study for the test) this course has a lot of smaller and more diverse activities that guide your learning experience. We use a lot of online features to:

    Break learning into smaller chunks

    Engage you more in thinking and discussing content with others

    Better integrate and more frequently test your knowledge (with a focus on mastery, allowing you to go back and learn what you missed then come test again)

    Give you practice in teaching-specific skills you will need as an educator (finding and evaluating online teaching resources, critiquing and modifying lesson plans)

    We hope you enjoy and learn a lot!

さらに質問がある場合は、受講者向けヘルプセンターにアクセスしてください。