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다음 특화 과정의 6개 강좌 중 2번째 강좌:

유동적 마감일

일정에 따라 마감일을 재설정합니다.

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강의 계획 - 이 강좌에서 배울 내용

1

1

완료하는 데 1시간 필요

Course Orientation

완료하는 데 1시간 필요
2개 동영상 (총 12분), 3 개의 읽기 자료, 1 개의 테스트
2개의 동영상
This is part of a specialization5m
3개의 읽기 자료
Are You Wanting UC, San Diego transcript credit?5m
Engagement and Assessment Goals5m
Using Googledoc Templates in this Class5m
1개 연습문제
Orientation Quiz - Make Sure you Know the Score7m
완료하는 데 4시간 필요

Data Collection

완료하는 데 4시간 필요
7개 동영상 (총 19분), 5 개의 읽기 자료, 9 개의 테스트
7개의 동영상
Your First Interactive Reading11m
Check Your Knowledge2
In Your Experience: HTTPS1
Check Your Knowledge2
What is Teacher Powerup?2m
Check Your Knowledge2
5개의 읽기 자료
Internet Privacy Test Tool Activity10m
Where's my interactive reading grade?3m
Cookies: What You Need To Know40m
The Web vs The Internet8m
Secure Web Browsing: HTTPS15m
2개 연습문제
Mastery Quiz Part 130m
Mastery Quiz Part 230m
2

2

완료하는 데 4시간 필요

Data Privacy

완료하는 데 4시간 필요
5개 동영상 (총 3분), 8 개의 읽기 자료, 4 개의 테스트
5개의 동영상
Check Your Knowledge2
Check Your Knowledge2
In Your Experience: Deep Dark Web1
Check Your Knowledge2
8개의 읽기 자료
What does your ISP (Internet Service Provider) know about you?8m
Why Not Redesign The Internet to Be Secure?6m
How Bad Should You Feel About Not Reading "Terms and Conditions"?11m
Domain Name Systems12m
Cryptography Keeps Information Safe10m
Keeping Information Secure on the Internet: Hashing and Encryption14m
SSL Certificates2m
Secrets of the Deep Dark Web15m
2개 연습문제
Mastery Quiz Part 130m
Mastery Quiz Part 230m
3

3

완료하는 데 4시간 필요

Data Use

완료하는 데 4시간 필요
4개 동영상 (총 2분), 3 개의 읽기 자료, 8 개의 테스트
4개의 동영상
Check Your Knowledge2
Check Your Knowledge2
Check Your Knowledge2
3개의 읽기 자료
Machine Learning Methods: Supervised vs. Unsupervised13m
Activity: Train a Neural Network20m
Optional: How Siri Works
2개 연습문제
Mastery Quiz Part 110m
Mastery Quiz Part 230m
4

4

완료하는 데 4시간 필요

Impacts of Computing and Pedagogy

완료하는 데 4시간 필요
6개 동영상 (총 28분), 5 개의 읽기 자료, 6 개의 테스트
6개의 동영상
Overview3m
Retrieval-Based Learning: How and When16m
In Your Experience: What Are These Questions Asking?1
Bloom's Taxonomy3m
Check Your Knowledge2
5개의 읽기 자료
Preview: FACT #23 Guided Reciprocal Peer Questioning10m
So How Would I Teach With That?4m
Extra Teacher Resources
Let's Experience It!3m
Different Approaches to Supporting Learning5m
2개 연습문제
Retrieval Practice Quiz: Any answer full points30m
Mastery Quiz4m

Teaching Impacts of Technology in K-12 Education 특화 과정 정보

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

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

  • 구독하는 경우, 취소해도 요금이 청구되지 않는 7일간의 무료 평가판을 이용할 수 있습니다. 해당 기간이 지난 후에는 환불이 되지 않지만, 언제든 구독을 취소할 수 있습니다. 전체 환불 정책 보기.

  • 예, Coursera에서는 수업료를 낼 수 없는 학습자를 위해 재정 지원을 제공합니다. 왼쪽에 있는 등록 버튼 아래 재정 지원 링크를 클릭하면 지원할 수 있습니다. 신청서를 작성하라는 메시지가 표시되며 승인되면 알림을 받습니다. 성취 프로젝트를 포함하여 전문 분야의 각 강좌에서 이 단계를 완료해야 합니다. 자세히 알아보기.

  • 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!

  • 이 강좌는 대학 학점을 제공하지 않지만, 일부 대학에서 선택적으로 강좌 수료증을 학점으로 인정할 수도 있습니다. 자세한 내용은 해당 기관에 문의하세요. Coursera의 온라인 학위Mastertrack™ 수료증은 대학 학점을 취득할 기회를 제공합니다.

궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.