In the 21st century, computational thinking is a skill critical for all the world's citizens. Computing and technology is impacting all our lives and everyone needs to know how to formulate problems and express their solutions such that a computer can carry it out.
In this Specialization you will both learn several block-based languages, but using novel approaches designed to make learning programming easier.
Covers most CSTA Algorithms & Programming Standards for Algorithms, Variables, Control, and Modularity: Levels 1-3A.
Computational Thinking & Block Programming in K-12 Education 專項課程
Teach Computational Thinking. Be prepared to teach block-based programming in K-12 settings
提供方
專項課程 的運作方式
加入課程
Coursera 專項課程是幫助您掌握一門技能的一系列課程。若要開始學習，請直接註冊專項課程，或預覽專項課程並選擇您要首先開始學習的課程。當您訂閱專項課程的部分課程時，您將自動訂閱整個專項課程。您可以只完成一門課程，您可以隨時暫停學習或結束訂閱。訪問您的學生面板，跟踪您的課程註冊情況和進度。
實踐項目
每個專項課程都包括實踐項目。您需要成功完成這個（些）項目才能完成專項課程並獲得證書。如果專項課程中包括單獨的實踐項目課程，則需要在開始之前完成其他所有課程。
獲得證書
在結束每門課程並完成實踐項目之後，您會獲得一個證書，您可以向您的潛在雇主展示該證書並在您的職業社交網絡中分享。
此專項課程包含 6 門課程
課程1
Computational Thinking for K-12 Educators: Sequences and Loops
How do we give instructions to a computer? Isn't programming hard? Not really! Whether it's giving someone directions to a nearby store or writing out some dance moves we frequently exhibit aspects of computational thinking in our everyday lives!
This class teaches the first key concepts of programming -- sequences of instructions and basic counted repetition of instructions. For each concept, we'll start by helping you connect real-world experiences you are already familiar with to the programming concept you are about to learn. Next, through a cognitively scaffolded process we'll engage you in developing your fluency with problem solving with sequences and repeated instructions in a way that keeps frustration at a minimum.
Along the way you will learn about the common challenges or "bugs" students have with these concepts as well as ways to help them find and fix those concepts. You'll also be guided in running classroom discussions to help students develop deeper understanding of these concepts.
Finally, you'll learn about a recommended pedagogical practice, Pair Programming, and find out why research recommends teaching block-based programming first.
課程2
Computational Thinking for K-12 Educators: Variables and Nested Loops
How can students learn about abstraction by creating a movie scene? Or make an interactive map using lists? You'll learn (and do it yourself) in this course!
This class teaches the concepts of abstraction (methods and parameters) and lists. For each concept, we'll start by helping you connect real-world experiences you are already familiar with to the programming concept you are about to learn. Next, through a cognitively scaffolded process we'll engage you in developing your fluency with problem solving with abstraction and lists in a way that keeps frustration at a minimum.
Along the way you will learn about the common challenges or "bugs" students have with these concepts as well as ways to help them find and fix those concepts. You'll also be guided in running classroom discussions to help students develop deeper understanding of these concepts.
Finally, you'll learn about the importance and logistics of assigning creative, student-designed programming projects.
Additionally, you will create a personal plan for increasing your skills in supporting a culturally responsive learning environment in your classroom.
課程3
Computational Thinking for K-12 Educators: Conditional Loops and If Statements
Want to make a game that ends when you "catch" an object by clicking on it? Or maybe you get points based on how close you came? You'll do that in this class!
This class teaches the concepts of conditional loops and if/else statements. For each concept, we'll start by helping you connect real-world experiences you are already familiar with to the programming concept you are about to learn. Next, through a cognitively scaffolded process we'll engage you in developing your fluency with problem solving with repeat until loops, while loops, and if/else statements in a way that keeps frustration at a minimum.
Along the way you will learn about the common challenges or "bugs" students have with these concepts as well as ways to help them find and fix those concepts. You'll also be guided in running classroom discussions to help students develop deeper understanding of these concepts.
Finally, you'll learn how to support interactive learning experiences among your students with Peer Instruction.
Additionally, you will create a resource for your classroom to support an equitable classroom.
課程4
Computational Thinking for K-12 Educators: Nested If Statements and Compound Conditionals
How could you program a complex "choose your own adventure" game? How can your soccer game determine goals, balls out of bounds, and corner kicks? You'll learn to do both of these in this course!
This class teaches the concepts of nested if/else statements and compound Boolean conditional expressions. For each concept, we'll start by helping you connect real-world experiences you are already familiar with to the programming concept you are about to learn. Next, through a cognitively scaffolded process we'll engage you in developing your fluency with problem solving with nested if/else statements and compound conditionals in a way that keeps frustration at a minimum.
Along the way you will learn about the common challenges or "bugs" students have with these concepts as well as ways to help them find and fix those concepts. You'll also be guided in running classroom discussions to help students develop deeper understanding of these concepts.
Finally, you'll prepare classroom resources to help your students to develop debugging skills. Additionally, you will create resources to help educate your students about the impacts of lack of equity in K-12 CS instruction.
講師
Beth Simon
Teaching ProfessorEducation Studies
關於 University of California San Diego
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.
常見問題
退款政策是如何规定的？
我可以只注册一门课程吗？
可以！点击您感兴趣的课程卡开始注册即可。注册并完成课程后，您可以获得可共享的证书，或者您也可以旁听该课程免费查看课程资料。如果您订阅的课程是某专项课程的一部分，系统会自动为您订阅完整的专项课程。访问您的学生面板，跟踪您的进度。
有助学金吗？
我可以免费学习课程吗？
此课程是 100% 在线学习吗？是否需要现场参加课程？
此课程完全在线学习，无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。
完成专项课程后我会获得大学学分吗？
此专项课程不提供大学学分，但部分大学可能会选择接受专项课程证书作为学分。查看您的合作院校了解详情。
完成专项课程需要多长时间？
There are six courses in this Specialization, each covering 2-3 programming concepts, an equity and a pedagogy module. Each course is built around five weekly modules, which can each be completed in approximately two-four hours. However, completion time is very dependent on each learner and the time you’re able to dedicate to the Specialization each week. There are deadlines to help you complete in a timely manner (targeting completion in 30 weeks), but you can move faster (by taking courses concurrently) or slower as suits your needs.
What background knowledge is necessary?
There is no background knowledge, neither in education nor in Computer Science, required to take this Specialization - just an interest in learning core programming concepts 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.
Do I need to take the courses in a specific order?
Each course in the Specialization introduces specific programming concepts which do build upon each other. If you have no prior programming experience it is suggested you take the courses in the indicated order. However, those with prior programming experience should not be overly challenged in doing courses in any order. At minimum, we recommend ending with the Capstone Project course.
What will I be able to do upon completing the Specialization?
After completing this Specialization you will be able to:
Design programs to solve problems in a block-based language using basic storage (i.e. variables and arrays) and common flow of control (sequencing, selection, repetition).
Utilize techniques in the teaching of programming to increase student success (e.g, Parsons’ problems for reducing cognitive load, Peer Instruction for development of analysis and communication skills, Pair Programming for collaboration and debugging skills).
Implement personalized plans for supporting equity in access and teaching in classroom of students with diverse backgrounds.
Complete the AP CS Principles Create Task and apply the Create task rubric to sample student work.
Who should take this Specialization?
This Specialization has been developed primarily to support K-12 teachers in teaching core programming concepts -- specifically as applied to block-based languages. However, this course is valuable to anyone interested in learning the basics of programming with a view of helping others to learn to program which includes, among others, members of the tech community involved in K-12 outreach, parents, and other informal educators.
還有其他問題嗎？請訪問 學生幫助中心。
