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ETEC 522 – Ventures in Learning Technologies
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AI & Machine Learning

By David Vogt on December 28, 2019

Artificial Intelligence (AI) and Machine Learning (aka “Deep Learning”) are actually quite different technologies, but they address roughly the same opportunity in learning.  AI is the vision of creating a stand-alone processing capacity with dimensions of human intelligence, in science fiction approaching a “singularity” when a machine becomes more intelligent than any person. By contrast, Machine Learning refers to enabling a computer to ‘watch’ any complex system long enough to model original ways to very successfully engage with it (for example, this is how a computer recently learned how to beat the best human players of “Go”).   Machine Learning is therefore about data and analysis, rather than artificial intelligence.

Opportunity Statement:

If Google was simply an ability to find things, a much bigger transformation will happen as machines are able to understand and even act upon knowledge and information that can be found, or are able to act in tandem with human learners and human learning processes.

Sources:

Edsurge 2019

2015 Horizon Report – Machine Learning

Educause 2017 Top Seven Things About AI

2017 Horizon Report

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12 Jan Posted on AI & Machine Learning

trained algorithms are already better at recognizing breast cancer than expert radiologists. I welcome AI into the education field. I'm a science guy - the more data, the better. If we don't have processed, filtered, relevant information with which to make decisions, we're just attempting to optimize education through trial and error.

12 Jan
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christopher spanis @cspanis

trained algorithms are already better at recognizing breast cancer than expert radiologists. I welcome AI into the education field. I'm a science guy - the more data, the better. If we don't have processed, filtered, relevant information with which to make decisions, we're just attempting to optimize education through trial and error.

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12 Jan Posted on AI & Machine Learning

Machine learning, combined with other emerging technologies such as AI, adaptive software, big data and learning analytics, and self-guided learning, has enormous potential to revolutionize how we use data to analyze mass amounts of information to make predictions that guide decision making, research, and find ways to apply our discoveries across industries. Admittedly, I have not read much about its implications or uses in education, but I have read about machine learning in regards to its application in food systems through its use along with imaging technologies (identifying pests/disease in the greenhouse, detecting visual differences in fruits to identify issues from farm to retail, etc.), its use to identify disease at early stages in the human body, and discussed it with a global economic strategist about his application of it to analyze market trends and make predictions. I look forward to learning more, making connections with its potential in education, and seeing its impact in the years to come.

12 Jan
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Mel @mddrake

Machine learning, combined with other emerging technologies such as AI, adaptive software, big data and learning analytics, and self-guided learning, has enormous potential to revolutionize how we use data to analyze mass amounts of information to make predictions that guide decision making, research, and find ways to apply our discoveries across industries. Admittedly, I have not read much about its implications or uses in education, but I have read about machine learning in regards to its application in food systems through its use along with imaging technologies (identifying pests/disease in the greenhouse, detecting visual differences in fruits to identify issues from farm to retail, etc.), its use to identify disease at early stages in the human body, and discussed it with a global economic strategist about his application of it to analyze market trends and make predictions. I look forward to learning more, making connections with its potential in education, and seeing its impact in the years to come.

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10 Jan Posted on AI & Machine Learning

Apart from the commonly understood applications of pattern recognition and other analytics to adaptive learning systems that can drive self-paced learning systems, I think AI and machine learning will impact LEARNING before it impacts EDUCATION. This is because these technologies will provide us with new ways of discovering and creating knowledge and understanding, by working to SUPPLEMENT and EXTEND human cognition, as opposed to replicating it. This phenomenon will provide much faster evolution of knowledge in any given domain of inquiry, but also lead to such radically new ways of discovering, accessing, interrelating, and developing knowledge that what results are actually new ways of learning.

10 Jan
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shuebrook @intigr8r

Apart from the commonly understood applications of pattern recognition and other analytics to adaptive learning systems that can drive self-paced learning systems, I think AI and machine learning will impact LEARNING before it impacts EDUCATION. This is because these technologies will provide us with new ways of discovering and creating knowledge and understanding, by working to SUPPLEMENT and EXTEND human cognition, as opposed to replicating it. This phenomenon will provide much faster evolution of knowledge in any given domain of inquiry, but also lead to such radically new ways of discovering, accessing, interrelating, and developing knowledge that what results are actually new ways of learning.

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