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Educators Rising Standards Alignment
This micro-credential is aligned to the following Educators Rising Standards:

I. Understanding the Profession
II. Learning About Students
VII. Engaging in Reflective Practice

This micro-credential is aligned to the following Educators Rising Standards:

I. Understanding the Profession
II. Learning About Students
VII. Engaging in Reflective Practice

It is recommended that rising educators visit the same learning environment (and not their own classrooms where they are students) as observers at least two times for at least 40 minutes per visit. These observations will form the source material for demonstrating what the rising educator learned about classroom culture in the micro-credential submission.

Data Science is a process of extracting, manipulating, visualizing, maintaining data as well as generating predictions.
A Data Scientist is supposed to have knowledge of various data operations as well as machine learning algorithms. Using Data Science, industries are able to extract insights and forecast their performance.

Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.

Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligent machines, thinking and working like humans. For example, speech recognition, problem-solving, learning, and planning.

Teachers have three loves: love of learning, love of learners, and the love of bringing the first two loves together.

Artificial intelligence (AI) aims to or is required to synthesize goal-orientated processes such as problem-solving, decision-making, environmental adaptation, learning, and communication found in humans and animals.
https://www.w3.org/TR/UNDERSTANDING-WCAG20/visual-audio-contrast-scale.html
artificial intelligence research has been necessarily cross-disciplinary, drawing on areas of expertise such as applied mathematics, symbolic logic, semiotics, electrical engineering, neurophysiology, and social intelligence.