We found 56 results that contain "problem-solving"
Posted on: #iteachmsu
Human trafficking-considered modern-day slavery- is a global problem and is becoming increasingly pr
Human trafficking-considered modern-day slavery- is a global problem and is becoming increasingly prevalent across the World. Types and venues of trafficking in the United States Identifying victims of trafficking in healthcare settings Identifying warning signs of trafficking in healthcare settings for minors and adults Identifying resources for reporting suspected victims of human trafficking. The training requirement dictates a timeline beginning with the first renewal cycle for the period of 2017-2022. Let's talk more and research many areas, So join us by registering
The timeline for the training of individuals who are seeking initial nursing licensure - is 5 or more years of experience.
The timeline for the training of individuals who are seeking initial nursing licensure - is 5 or more years of experience.
Posted on: #iteachmsu
EXAMPLES OF ARTIFICIAL INTELLIGENCE IN USE TODAY
Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans. For example, speech recognition, problem-solving, learning, and planning.
Today, Artificial Intelligence is a very popular subject that is widely discussed in the technology and business circles. Many experts and industry analysts argue that AI or machine learning is the future – but if we look around, we are convinced that it’s not the future – it is the present.
With the advancement in technology, we are already connected to AI in one way or the other – whether it is Siri, Watson, or Alexa. Yes, the technology is in its initial phase and more and more companies are investing resources in machine learning, indicating a robust growth in AI products and apps in the near future.
The following statistics will give you an idea of growth!
– In 2014, more than $300 million was invested in AI startups, showing an increase of 300%, compared to the previous year (Bloomberg)
– By 2018, 6 billion connected devices will proactively ask for support. (Gartner)
– By the end of 2018, “customer digital assistants” will recognize customers by face and voice across channels and partners (Gartner)
Today, Artificial Intelligence is a very popular subject that is widely discussed in the technology and business circles. Many experts and industry analysts argue that AI or machine learning is the future – but if we look around, we are convinced that it’s not the future – it is the present.
With the advancement in technology, we are already connected to AI in one way or the other – whether it is Siri, Watson, or Alexa. Yes, the technology is in its initial phase and more and more companies are investing resources in machine learning, indicating a robust growth in AI products and apps in the near future.
The following statistics will give you an idea of growth!
– In 2014, more than $300 million was invested in AI startups, showing an increase of 300%, compared to the previous year (Bloomberg)
– By 2018, 6 billion connected devices will proactively ask for support. (Gartner)
– By the end of 2018, “customer digital assistants” will recognize customers by face and voice across channels and partners (Gartner)
ASSESSING LEARNING
Posted on: #iteachmsu
Health Problems and Health Education
THE HEALTH PROBLEMS OF greatest significance today are the chronic diseases. . . . The extent of chronic diseases, various disabling conditions, and the economic burden that they impose have been thoroughly documented. Health education and health educators will be expected to contribute to the reduction of the negative impact of such major health problems as heart disease, cancer, dental disease, mental illness and other neurological disturbances, obesity, accidents, and the adjustments necessary to a productive old age.
The new and unique role of health education in helping to meet these problems can perhaps be clarified through a review of some of the differences between procedures that have been successful in solving the problems of the acute communicable diseases and those that are available for coping with today’s problems.Youtube video URL: Youtube embedded URL: URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1448258/ Table:
col 1
col 2
col 3
col4
row 1
row 2
row 3
row 4
Special characters:āØNumbering:
Sample 1
Sample 2
Bullets:
Sample 1
Sample 2
The new and unique role of health education in helping to meet these problems can perhaps be clarified through a review of some of the differences between procedures that have been successful in solving the problems of the acute communicable diseases and those that are available for coping with today’s problems.Youtube video URL: Youtube embedded URL: URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1448258/ Table:
col 1
col 2
col 3
col4
row 1
row 2
row 3
row 4
Special characters:āØNumbering:
Sample 1
Sample 2
Bullets:
Sample 1
Sample 2
Authored by: Shweta
Disciplinary Content
Posted on: #iteachmsu
Human trafficking-considered modern-day slavery- is a global problem and is becoming increasingly pr
Human trafficking-considered modern-day slavery- is a global problem and is becoming increasingly prevalent across the World. Types and venues of trafficking in the United States Identifying victims of trafficking in healthcare settings Identifying warning signs of trafficking in healthcare settings for minors and adults Identifying resources for reporting suspected victims of human trafficking. The training requirement dictates a timeline beginning with the first renewal cycle for the period of 2017-2022. Let's talk more and research many areas, So join us by registering The timeline for the training of individuals who are seeking initial nursing licensure - is 5 or more years of experience.
Posted by: Vijayalaxmi Vishavnathkam Santosh Mali
Posted on: #iteachmsu
Human trafficking-considered modern-day slavery- is a global problem and is becoming increasingly pr
Human trafficking-considered modern-day slavery- is a global problem and is becoming increasingly prevalent across the World. Types and venues of trafficking in the United States Identifying victims of trafficking in healthcare settings Identifying warning signs of trafficking in healthcare settings for minors and adults Identifying resources for reporting suspected victims of human trafficking. The training requirement dictates a timeline beginning with the first renewal cycle for the period of 2017-2022. Let's talk more and research many areas, So join us by registering
The timeline for the training of individuals who are seeking initial nursing licensure - is 5 or more years of experience.
The timeline for the training of individuals who are seeking initial nursing licensure - is 5 or more years of experience.
Posted by: Super Admin
Posted on: #iteachmsu
Developing self-awareness and emotional intelligence: Understanding one's own emotions and those of
\Life skills education focuses on equipping individuals with the abilities needed to navigate everyday challenges and lead fulfilling lives. It encompasses a range of psychosocial and interpersonal skills that enable informed decision-making, effective communication, and healthy relationships. This type of education goes beyond traditional academic subjects, emphasizing practical skills applicable to personal, social, and professional contexts.
Key aspects of life skills education include:
Developing self-awareness and emotional intelligence:
Understanding one's own emotions and those of others, managing stress and anxiety, and building healthy relationships are crucial components.
Enhancing critical thinking and problem-solving:
Learning to analyze information, identify problems, and develop effective solutions is essential for navigating complex situations.
Improving communication and interpersonal skills:
Effective communication, both verbal and nonverbal, is vital for building strong relationships and resolving conflicts.
Promoting decision-making and goal-setting:
Learning to make informed decisions, set realistic goals, and develop plans to achieve them are important life skills.
Fostering adaptability and resilience:
Developing the ability to adapt to change, cope with setbacks, and bounce back from challenges is essential for navigating life's ups and downs.
Encouraging responsible citizenship:
Understanding personal responsibility, contributing to the community, and promoting ethical behavior are important aspects of life skills education.
Key aspects of life skills education include:
Developing self-awareness and emotional intelligence:
Understanding one's own emotions and those of others, managing stress and anxiety, and building healthy relationships are crucial components.
Enhancing critical thinking and problem-solving:
Learning to analyze information, identify problems, and develop effective solutions is essential for navigating complex situations.
Improving communication and interpersonal skills:
Effective communication, both verbal and nonverbal, is vital for building strong relationships and resolving conflicts.
Promoting decision-making and goal-setting:
Learning to make informed decisions, set realistic goals, and develop plans to achieve them are important life skills.
Fostering adaptability and resilience:
Developing the ability to adapt to change, cope with setbacks, and bounce back from challenges is essential for navigating life's ups and downs.
Encouraging responsible citizenship:
Understanding personal responsibility, contributing to the community, and promoting ethical behavior are important aspects of life skills education.
Posted by: Chathuri Super admin..
Navigating Context
Posted on: #iteachmsu
My Class Size Exceeds the Zoom License Limits – What Now?
ADHD is a problem with attention, so adult ADHD can make it hard to succeed in today’s fast-paced, hustle-bustle world. Many people find that distractibility can lead to a history of career under-performance, especially in noisy or busy offices. If you have adult ADHD, you might find that phone calls or email derail your attention, making it hard for you to finish tasks.
Posted by: Chathuri Super admin..
Posted on: #iteachmsu
Categorization of Artificial Intelligence
Categories of AI
Artificial intelligence:
can be divided into two different categories: weak and strong. Weak artificial intelligence embodies a system designed to carry out one particular job. Weak AI systems include video games such as the chess example from above and personal assistants such as Amazon's Alexa and Apple's Siri. You ask the assistant a question, it answers it for you.
Strong artificial intelligence systems are systems that carry on the tasks considered to be human-like. These tend to be more complex and complicated systems. They are programmed to handle situations in which they may be required to problem solve without having a person intervene. These kinds of systems can be found in applications like self-driving cars or in hospital operating rooms.
Artificial intelligence:
can be divided into two different categories: weak and strong. Weak artificial intelligence embodies a system designed to carry out one particular job. Weak AI systems include video games such as the chess example from above and personal assistants such as Amazon's Alexa and Apple's Siri. You ask the assistant a question, it answers it for you.
Strong artificial intelligence systems are systems that carry on the tasks considered to be human-like. These tend to be more complex and complicated systems. They are programmed to handle situations in which they may be required to problem solve without having a person intervene. These kinds of systems can be found in applications like self-driving cars or in hospital operating rooms.
Authored by: Rupali
Assessing Learning
Posted on: #iteachmsu
THE TOP MYTHS ABOUT ADVANCED AI
common myths
for Advanced
AI:A captivating conversation is taking place about the future of artificial intelligence and what it will/should mean for humanity. There are fascinating controversies where the world’s leading experts disagree, such as AI’s future impact on the job market; if/when human-level AI will be developed; whether this will lead to an intelligence explosion; and whether this is something we should welcome or fear. But there are also many examples of boring pseudo-controversies caused by people misunderstanding and talking past each other.
TIMELINE MYTHS
The first myth regards the timeline: how long will it take until machines greatly supersede human-level intelligence? A common misconception is that we know the answer with great certainty.
One popular myth is that we know we’ll get superhuman AI this century. In fact, history is full of technological over-hyping. Where are those fusion power plants and flying cars we were promised we’d have by now? AI has also been repeatedly over-hyped in the past, even by some of the founders of the field. For example, John McCarthy (who coined the term “artificial intelligence”), Marvin Minsky, Nathaniel Rochester, and Claude Shannon wrote this overly optimistic forecast about what could be accomplished during two months with stone-age computers: “We propose that a 2 month, 10 man study of artificial intelligence be carried out during the summer of 1956 at Dartmouth College […] An attempt will be made to find how to make machines use language, form abstractions, and concepts, solve kinds of problems now reserved for humans, and improve themselves. We think that a significant advance can be made in one or more of these problems if a carefully selected group of scientists work on it together for a summer.”
CONTROVERSY MYTHS
Another common misconception is that the only people harboring concerns about AI and advocating AI safety research are Luddites who don’t know much about AI. When Stuart Russell, author of the standard AI textbook, mentioned this during his Puerto Rico talk, the audience laughed loudly. A related misconception is that supporting AI safety research is hugely controversial. In fact, to support a modest investment in AI safety research, people don’t need to be convinced that risks are high, merely non-negligible — just as a modest investment in home insurance is justified by a non-negligible probability of the home burning down.
for Advanced
AI:A captivating conversation is taking place about the future of artificial intelligence and what it will/should mean for humanity. There are fascinating controversies where the world’s leading experts disagree, such as AI’s future impact on the job market; if/when human-level AI will be developed; whether this will lead to an intelligence explosion; and whether this is something we should welcome or fear. But there are also many examples of boring pseudo-controversies caused by people misunderstanding and talking past each other.
TIMELINE MYTHS
The first myth regards the timeline: how long will it take until machines greatly supersede human-level intelligence? A common misconception is that we know the answer with great certainty.
One popular myth is that we know we’ll get superhuman AI this century. In fact, history is full of technological over-hyping. Where are those fusion power plants and flying cars we were promised we’d have by now? AI has also been repeatedly over-hyped in the past, even by some of the founders of the field. For example, John McCarthy (who coined the term “artificial intelligence”), Marvin Minsky, Nathaniel Rochester, and Claude Shannon wrote this overly optimistic forecast about what could be accomplished during two months with stone-age computers: “We propose that a 2 month, 10 man study of artificial intelligence be carried out during the summer of 1956 at Dartmouth College […] An attempt will be made to find how to make machines use language, form abstractions, and concepts, solve kinds of problems now reserved for humans, and improve themselves. We think that a significant advance can be made in one or more of these problems if a carefully selected group of scientists work on it together for a summer.”
CONTROVERSY MYTHS
Another common misconception is that the only people harboring concerns about AI and advocating AI safety research are Luddites who don’t know much about AI. When Stuart Russell, author of the standard AI textbook, mentioned this during his Puerto Rico talk, the audience laughed loudly. A related misconception is that supporting AI safety research is hugely controversial. In fact, to support a modest investment in AI safety research, people don’t need to be convinced that risks are high, merely non-negligible — just as a modest investment in home insurance is justified by a non-negligible probability of the home burning down.
Authored by: Rupali
Assessing Learning
Posted on: #iteachmsu
Storage of Certificates of Students
Block chain technology allows duplication of data. Thus it can help to store digital copies of the student certificates in the distributed and collaborated environment. Each university can act as node or Validator where any person in authority can validate student documents by requesting for verified information from the students.
Such collaborative approach can help solve many issues like loss of original degree certificates or mark sheets, illegal duplication or modification of documents, authentication of student education records etc. This will also help universities to cut down the costs involved in making infrastructure available for storage of students’ important educational documents.
Such collaborative approach can help solve many issues like loss of original degree certificates or mark sheets, illegal duplication or modification of documents, authentication of student education records etc. This will also help universities to cut down the costs involved in making infrastructure available for storage of students’ important educational documents.
Authored by: Divya Sawant
Navigating Context
Posted on: #iteachmsu
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.
Posted by: Rupali Jagtap
Assessing Learning
Posted on: #iteachmsu
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 is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the most simple to those that are even more complex. The goals of artificial intelligence include learning, reasoning, and perception.
link: https://www.youtube.com/watch?v=oV74Najm6Nc
Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the most simple to those that are even more complex. The goals of artificial intelligence include learning, reasoning, and perception.
link: https://www.youtube.com/watch?v=oV74Najm6Nc
Posted by: Rupali Jagtap
Posted on: #iteachmsu
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.
: 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.
Posted by: Roni Smith
Navigating Context
Posted on: #iteachmsu
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.
Posted by: Rupali Jagtap
Assessing Learning
Posted on: #iteachmsu
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.
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.
Posted by: Rupali Jagtap
Assessing Learning
Posted on: #iteachmsu
It improves your thinking, listening and speaking skills. It also promotes your confidence level. It is an effective tool in problem solving, decision making and personality assessment. GD skills may ensure academic success, popularity and good admission or job offer.
It improves your thinking, listening and speaking skills. It also promotes your confidence level. It is an effective tool in problem solving, decision making and personality assessment. GD skills may ensure academic success, popularity and good admission or job offer.
It improves your thinking, listening and speaking skills. It also promotes your confidence level. It is an effective tool in problem solving, decision making and personality assessment. GD skills may ensure academic success, popularity and good admission or job offer.
Posted by: Chathuri Super admin..
Pedagogical Design
Posted on: #iteachmsu
Genetic algorithms are unique ways to solve complex problems by harnessing the power of nature. By applying these methods to predicting security prices, traders can optimize trading rules by identifying the best values to use for each parameter for given security.
Posted by: Rupali Jagtap
Assessing Learning
Posted on: #iteachmsu
Achieving work life balance is possible with effective time management. Learning time management tips will not only help you manage your time better but also boost personal productivity. With that said, here are some time management strategies you can try:
The 80/20 rule is a technique created by the Italian economist Vilfredo Pareto. It’s the idea that 20% of actions are responsible for 80% of outcomes. The goal of Pareto analysis is to help you prioritize tasks that are most effective at solving problems.
Achieving work life balance is possible with effective time management. Learning time management tips will not only help you manage your time better but also boost personal productivity. With that said, here are some time management strategies you can try:
The 80/20 rule is a technique created by the Italian economist Vilfredo Pareto. It’s the idea that 20% of actions are responsible for 80% of outcomes. The goal of Pareto analysis is to help you prioritize tasks that are most effective at solving problems.
Posted by: Super Admin
Disciplinary Content