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A World Heritage Site is a landmark or area which is chosen by the United Nations Educational, Scientific and Cultural Organisation (UNESCO) as having cultural, historical, scientific or other form of significance, and is legally protected by international treaties.

Primer text from The College of William & Mary

ADHD is one of the most commonly diagnosed conditions of children (Centers for Disease
Control and Prevention, 2015).

In a 2016 Centers for Disease Control and Prevention study, scientists found that 6.1 million children aged 2-17 years living in the U.S. had been diagnosed with attention-deficit/hyperactivity disorder (ADHD), which is similar to previous en
Ages 6-11: Approximately 2.4 million children
Ages 12-17: Approximately 3.3 million children

The diagnostic term attention deficit/hyperactivity disorder (ADHD) refers to individuals who display patterns of inattention, impulsivity, and overactive behavior that interfere with daily functioning (American Psychiatric Association [APA], 2013).


The Diagnostic and Statistical Manual (DSM) V (APA, 2013) criteria for diagnosing ADHD list
three types of ADHD and the accompanying characteristics.

Watch and learn : https://youtu.be/CHyA3pp4G_Y

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

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

To complete the application for this micro-credential, the rising educator will complete the Educators Rising Classroom Culture submission form. To earn the micro-credential, the rising educator must earn a score of "Passing",“Highly Skilled”, or “Commendable” on all components of the rubrics. If the rising educator does not earn the micro-credential, he/she is encouraged to reflect on where the submission fell short, address those areas successfully per the rubric, and resubmit. Remember to download the Educators Rising Classroom Culture submission form for compiling your submission here:
*http://bit.ly/EdRisingClassroomCulture

Second post
: 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.

Poor Listening Skills
Do you zone out during long business meetings? Did your husband forget to pick up your child at baseball practice, even though you called to remind him on his way home? Problems with attention result in poor listening skills in many adults with ADHD, leading to a lot of missed appointments and misunderstandings.

Machine-generated data is information automatically generated by a computer process, application, or other mechanism without the active intervention of a human. While the term dates back over fifty years,[1] there is some current indecision as to the scope of the term. Monash Research's Curt Monash defines it as "data that was produced entirely by machines OR data that is more about observing humans than recording their choices."[2] Meanwhile, Daniel Abadi, CS Professor at Yale, proposes a narrower definition, "Machine-generated data is data that is generated as a result of a decision of an independent computational agent or a measurement of an event that is not caused by a human action."[3] Regardless of definition differences, both exclude data manually entered by a person.[4] Machine-generated data crosses all industry sectors. Often and increasingly, humans are unaware their actions are generating the data.[