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Assessing Learning
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ASSESSING LEARNING
Response Accommodations
Educators should understand that students with disabilities often encounter barriers when they access the general education curriculum. The Every Student Succeeds Act (ESSA) and the Individuals with Disabilities Education Improvement Act (IDEA) require that educators provide appropriate accommodations to students with disabilities to address these barriers. Careful consideration of a student’s strengths and needs can help guide the identification and selection of an accommodation that is likely to benefit a student.
RE: https://microcredentials.digitalpromise.org/explore/response-accommodations
Response Accommodations
Response Accommodations
Educators should understand that students with disabilities often encounter barriers when they access the general education curriculum. The Every Student Succeeds Act (ESSA) and the Individuals with Disabilities Education Improvement Act (IDEA) require that educators provide appropriate accommodations to students with disabilities to address these barriers. Careful consideration of a student’s strengths and needs can help guide the identification and selection of an accommodation that is likely to benefit a student.
RE: https://microcredentials.digitalpromise.org/explore/response-accommodations
Posted by:
Scarlet Ethan Edien

Posted on: #iteachmsu
Response Accommodations
Educators should under...

Response Accommodations
Response Accommodations
Educators should under...
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ASSESSING LEARNING
Thursday, Dec 31, 2020
Posted on: #iteachmsu

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over 4 years ago
Posted on: #iteachmsu
ASSESSING LEARNING
Data Science, Deep Learning, and Artificial Intelligence
Artificial Intelligence
The term “AI” is used so often nowadays that we have a basic understanding of what it means: a computer’s ability to perform tasks such as visual perception, speech recognition, decision-making, and language translation. AI has progressed rapidly over the last few years, but it is still nowhere near matching the vast dimensions of human intelligence. Humans make quick use of all the data around them and can use what they have stored in their minds to make decisions. However, AI does not yet boast such abilities; instead, it is using huge chunks of data to clear its objectives. This ultimately means that AI might require huge chunks of data for doing something as simple as editing text.
Data Science
Data science is much more than just simple machine learning. Data here may not have been obtained through a machine, and it may not even be for learning purposes. Put, data science tends to cover the whole spectrum of data processing as we know it. Data science is not just related to the statistical aspect of the process, but it feeds the process and derives benefits from it through data engineering. Data engineers and data scientists have a huge role to play in propelling AI forward.
Deep Learning
Deep learning is machine learning’s most powerful technique for making the future happen. Much like the neurons in our brains, deep learning is the connection or the powerhouse present between data science and AI. Both machine learning and its subtype, deep learning, incorporate the process of learning from the data over time. While it is not the only thing connecting the two, deep learning is a type of machine learning that works best to strengthen the process of AI and data science. Deep learning can be defined as a machine learning technique that endeavors to teach computer systems things that come naturally to humans. For example, we can naturally interpret what a stop sign on the road means, but for a machine to locate this sign and interpret it, it needs a lot of learning and implementation.
The term “AI” is used so often nowadays that we have a basic understanding of what it means: a computer’s ability to perform tasks such as visual perception, speech recognition, decision-making, and language translation. AI has progressed rapidly over the last few years, but it is still nowhere near matching the vast dimensions of human intelligence. Humans make quick use of all the data around them and can use what they have stored in their minds to make decisions. However, AI does not yet boast such abilities; instead, it is using huge chunks of data to clear its objectives. This ultimately means that AI might require huge chunks of data for doing something as simple as editing text.
Data Science
Data science is much more than just simple machine learning. Data here may not have been obtained through a machine, and it may not even be for learning purposes. Put, data science tends to cover the whole spectrum of data processing as we know it. Data science is not just related to the statistical aspect of the process, but it feeds the process and derives benefits from it through data engineering. Data engineers and data scientists have a huge role to play in propelling AI forward.
Deep Learning
Deep learning is machine learning’s most powerful technique for making the future happen. Much like the neurons in our brains, deep learning is the connection or the powerhouse present between data science and AI. Both machine learning and its subtype, deep learning, incorporate the process of learning from the data over time. While it is not the only thing connecting the two, deep learning is a type of machine learning that works best to strengthen the process of AI and data science. Deep learning can be defined as a machine learning technique that endeavors to teach computer systems things that come naturally to humans. For example, we can naturally interpret what a stop sign on the road means, but for a machine to locate this sign and interpret it, it needs a lot of learning and implementation.
Posted by:
Rohit 936 shinde

Posted on: #iteachmsu

Data Science, Deep Learning, and Artificial Intelligence
Artificial Intelligence
The term “AI” is used so often nowadays tha...
The term “AI” is used so often nowadays tha...
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ASSESSING LEARNING
Thursday, Dec 31, 2020
Posted on: #iteachmsu
Assessing Learning
Test Playlist Order
Posted by:
Rashad Muhammad

Posted on: #iteachmsu
ASSESSING LEARNING

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Test Image resize
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ASSESSING LEARNING
Thursday, Dec 17, 2020
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over 4 years ago

Rapid Language Learning
Assessing Learning
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almost 5 years ago

From foundational science to new and novel research, discover our large collection of Physical Sciences and Engineering publications, covering a range of disciplines, from the theoretical to the applied.
Assessing Learning
Posted on: #iteachmsu
ASSESSING LEARNING
Writing Style
There are four main types of writing: expository, descriptive, persuasive, and narrative. Each of these writing styles is used for a specific purpose. A single text may include more than one writing style.
Authored by:
Divya Sawant

Posted on: #iteachmsu

Writing Style
There are four main types of writing: expository, descriptive,...
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ASSESSING LEARNING
Friday, Dec 11, 2020
