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Machine Learning & Artificial Intelligence: Crash Course Computer Science #34

  Classroom Resource Information  

Title:

 Machine Learning & Artificial Intelligence: Crash Course Computer Science #34

URL:

 https://aptv.pbslearningmedia.org/resource/machine-learning-crash-course-cs/machine-learning-crash-course-cs/

Content Source:

 PBS
Type: Audio/Video

Overview:

From spam filters and self-driving cars to cutting edge medical diagnosis and real-time language translation, there has been an increasing need for our computers to learn from data and apply that knowledge to make predictions and decisions. This is the heart of machine learning which sits inside the more ambitious goal of artificial intelligence.

Content Standard(s):
Digital Literacy and Computer Science
DLIT (2018)
Grade: 6
29) Define artificial intelligence and identify examples of artificial intelligence in the community.

Examples: Image recognition, voice assistants.

Unpacked Content
Evidence Of Student Attainment:
Students will:
  • define artificial intelligence.
  • identify examples of artificial intelligence in the community.
Teacher Vocabulary:
  • artificial intelligence
Knowledge:
Students know:
  • that artificial intelligence is the use of computer systems to perform tasks normally requiring human intelligence and include services such as visual perception, speech recognition, decision
  • making, and translation between languages.
Skills:
Students are able to:
  • identify examples of artificial intelligence.
Understanding:
Students understand that:
  • while artificial intelligence is designed to aide, it also has negative side effects.
Digital Literacy and Computer Science
DLIT (2018)
Grade: 8
28) Develop a logical argument for and against artificial intelligence.

Examples: Students debate the use of artificial intelligence in self-driving vehicles.
Students write a persuasive essay to argue for or against digital personal assistants.

Unpacked Content
Evidence Of Student Attainment:
Students will:
  • research and compile data in support of and against the use of artificial intelligence.
Teacher Vocabulary:
  • artificial intelligence
Knowledge:
Students know:
  • technology has helped many people in many ways and it can also cause harm.
Skills:
Students are able to:
  • research artificial intelligence.
  • create an artifact (poster, speech, video, song, poem, pamphlet, presentation, etc.
    • ) that discloses a logical argument in support of or against the use of some form of artificial intelligence.
Understanding:
Students understand that:
  • technology has limitations.
  • technology can be used in unintended ways that can cause harm or can help.
Digital Literacy and Computer Science
DLIT (2018)
Grade: 9-12
23) Debate the positive and negative effects of computing innovations in personal, ethical, social, economic, and cultural spheres.

Examples: Artificial Intelligence/machine learning, mobile applications, automation of traditional occupational skills.

Unpacked Content
Evidence Of Student Attainment:
Students will:
  • debate the positive and negative effects of computing innovations in personal spheres.
  • debate the positive and negative effects of computing innovations in ethical spheres.
  • debate the positive and negative effects of computing innovations in social spheres.
  • debate the positive and negative effects of computing innovations in economic spheres.
  • debate the positive and negative effects of computing innovations in cultural spheres.
Teacher Vocabulary:
  • innovation
  • ethics
  • social
  • economic
Knowledge:
Students know:
  • how to discuss positive and negative effects of computing innovations in multiple contexts.
  • that changes in computing innovations can have a range of effects in many contexts.
  • how to communicate their beliefs about computing innovations and the effects caused by advances.
Skills:
Students are able to:
  • recognize that innovations can have both positive and negative consequences.
  • identify positive and negative effects of innovation.
  • communicate support for or against innovation.
Understanding:
Students understand that:
  • advancements can also have drawbacks.
  • we are in a state of change that will require adaptation and education to be a constant.
Digital Literacy and Computer Science
DLIT (2018)
Grade: 9-12
35) Appraise the role of artificial intelligence in guiding software and physical systems.

Examples: predictive modeling, self-driving cars.

Unpacked Content
Evidence Of Student Attainment:
Students will:
  • identify pros and cons of artificial intelligence in guiding software and physical systems.
  • evaluate the value of artificial intelligence in guiding software and physical systems.

    • Examples: predictive modeling, self-driving cars
Teacher Vocabulary:
  • artificial intelligence
  • machine learning
  • physical systems
  • guiding software
Knowledge:
Students know:
  • artificial intelligence plays a role in all industries from healthcare to automotive and finance to military.
  • there are philosophical and ethical questions related to artificial intelligence.
Skills:
Students are able to:
  • research the roles that artificial intelligence have in guiding software and physical systems.
  • describe ethical and philosophical issues of artificial intelligence roles in society.
Understanding:
Students understand that:
  • there are positive and negative aspects to the science of artificial intelligence and how it is applied in industries, science, and society.
  • ethical, moral, and philosophical issues must continually be evaluated as artificial intelligence grows in application.
Tags: artificial intelligence, computing innovations, machine learning, selfdriving cars, software, systems
License Type: Custom Permission Type
See Terms: https://www.pbslearningmedia.org/help/terms-of-use/
For full descriptions of license types and a guide to usage, visit :
https://creativecommons.org/licenses
AccessibilityVideo resources: includes closed captioning or subtitles
Comments
  This resource provided by:  
Author: Stephanie Carver
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