Archive of ‘instructional technology’ category

zoom vs google

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more on Zoom in this IMS blog
http://blog.stcloudstate.edu/ims?s=zoom

learning experience design

Building a Learning Innovation Network

https://www.insidehighered.com/digital-learning/blogs/technology-and-learning/building-learning-innovation-network

new interdisciplinary field of learning innovation emerging.

Learning innovation, as conceptualized as an interdisciplinary field, attempts to claim a space at the intersection of design, technology, learning science and analytics — all in the unique context of higher education.

professional associations, such as POD, ELI, UPCEA, (https://upcea.edu/) OLC (https://onlinelearningconsortium.org/), ASU GSV (https://www.asugsvsummit.com/) and SXSW Edu (https://www.sxswedu.com/) — among many other conferences and events put on by professional associations.

A professional community of practice differs from that of an interdisciplinary academic network. Professional communities of practice are connected through shared professional goals. Where best practices and shared experiences form the basis of membership in professional associations, academic networks are situated within marketplaces for ideas. Academic networks run on the generation of new ideas and scholarly exchange. These two network models are different.

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https://elearningindustry.com/learning-experience-design-instructional-design-difference

“Learning Experience Design™ is a synthesis of Instructional Design, educational pedagogy, neuroscience, social sciences, design thinking, and User Experience Design.”

The Process: ADDIE Vs. Design Thinking

The Process: ADDIE Vs. Design Thinking

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more on LX design in this iMS blog
http://blog.stcloudstate.edu/ims?s=learning+design

AI in education

https://www.edsurge.com/news/2019-01-23-how-much-artificial-intelligence-should-there-be-in-the-classroom

a two-day conference about artificial intelligence in education organized by a company called Squirrel AI.

he believes that having AI-driven tutors or instructors will help them each get the individual approach they need.

the Chinese government has declared a national goal of surpassing the U.S. in AI technology by the year 2030, so there is almost a Sputnik-like push for the tech going on right now in China.

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more on AI in education in this IMS blog
http://blog.stcloudstate.edu/ims?s=Artificial+Intelligence+and+education

data driven education

https://www.kqed.org/mindshift/45396/whats-at-risk-when-schools-focus-too-much-on-student-data

The U.S. Department of Education emphasizes “ensuring the use of multiple measures of school success based on academic outcomes, student progress, and school quality.”

starting to hear more about what might be lost when schools focus too much on data. Here are five arguments against the excesses of data-driven instruction.

1) Motivation (decrease)

as stereotype threat. threatening students’ sense of belonging, which is key to academic motivation.

2) Helicoptering

A style of overly involved “intrusive parenting” has been associated in studies with increased levels of anxiety and depression when students reach college.

3) Commercial Monitoring and Marketing

The National Education Policy Center releases annual reports on commercialization and marketing in public schools. In its most recent report in May, researchers there raised concerns about targeted marketing to students using computers for schoolwork and homework.

Companies like Google pledge not to track the content of schoolwork for the purposes of advertising. But in reality these boundaries can be a lot more porous.

4) Missing What Data Can’t Capture

5) Exposing Students’ “Permanent Records”

In the past few years several states have passed laws banning employers from looking at the credit reports of job applicants.
Similarly, for young people who get in trouble with the law, there is a procedure for sealing juvenile records
Educational transcripts, unlike credit reports or juvenile court records, are currently considered fair game for gatekeepers like colleges and employers. These records, though, are getting much more detailed.

Evolving Field of Instructional Design

Ace of All Trades: New Research Looks at Evolving Field of Instructional Design

By Marguerite McNeal     May 6, 2016

https://www.edsurge.com/news/2016-05-06-ace-of-all-trades-new-research-looks-at-evolving-field-of-instructional-design

They lurk behind the scenes of a rapidly growing number of courses at colleges and universities, yet instructional designers are an elusive bunch. Their field is exploding—The Chronicle of Higher Education ranked it as one of the top 10 trends in higher ed this year—as more institutions pursue online and blended-learning offerings. But there hasn’t been much consensus on the role of instructional designers across institutions.

estimates at least 13,000 professionals are in the field at higher-ed institutions. Findings provide a glimpse of who instructional designers are:

  • The average age of IDs is 45 years old
  • 67 percent are female
  • 87 percent have master’s degrees
  • More than half have teaching experience

IDs reported that their duties vary from day to day, but that their work generally fits into four buckets: design (e.g., creating new or redeveloping old courses); management (e.g., overseeing projects from cradle to grave); training (e.g., helping faculty use new technologies); and support (e.g., providing timely help for LMS questions from faculty).

https://onlinelearningconsortium.org/webinar/instructional-designers-higher-education-role-responsibilities-experiences-ids/

https://onlinelearningconsortium.org/webinar/classroom-campus-wide-leveraging-instructional-designers-different-scales/

https://onlinelearningconsortium.org/webinar/moving-innovative-institution-forward-tools-strategies-instructional-designers/

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more on ID in this IMS blog
http://blog.stcloudstate.edu/ims?s=instructional+design

AI deep learning

Machine learning for sensors

June 3, 2019

https://phys.org/news/2019-06-machine-sensors.html

Researchers at the Fraunhofer Institute for Microelectronic Circuits and Systems IMS have developed AIfES, an artificial intelligence (AI) concept for microcontrollers and sensors that contains a completely configurable artificial neural network. AIfES is a platform-independent machine learning library which can be used to realize self-learning microelectronics requiring no connection to a cloud or to high-performance computers. The sensor-related AI system recognizes handwriting and gestures, enabling for example gesture control of input when the library is running on a wearable.

a machine learning library programmed in C that can run on microcontrollers, but also on other platforms such as PCs, Raspberry PI and Android.

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more about machine learning in this IMS blog
http://blog.stcloudstate.edu/ims?s=machine+learning

Sherry Turkle 2016 book

Sherry Turkle Says There’s a Wrong Way to Flip a Classroom

By Jeffrey R. Young     Oct 13, 2016

https://www.edsurge.com/news/2016-10-13-sherry-turkle-says-there-s-a-wrong-way-to-flip-a-classroom

“Reclaiming Conversation: The Power of Talk in a Digital Age,

It’s much more likely that students will get lit up by learning if they come in for office hours and they present a very imperfect argument and the teacher says, the mentor says, that’s not really right. That’s not really where it should be, but come back again. Come back here again. I’ll be here for you again.

So many faculty are kind of going in the opposite direction or saying we’re putting things online and you can take the course online.

definition flipped classroom
In a flipped classroom the idea is the students are learning the technical material at home and then the classroom time is designed to be about discussion of the material and questions about the material.
part of the narrative of a flipped classroom is that it’s somehow responding to a crisis of a deadened classroom instead of an enlivened classroom and that isn’t necessarily true.

an open laptop or an open iPad opens up a kind of cone of silence and attentional disarray around itself because students’ attention has sort of been taken by the open device.

We’re not using the technology really the way we should. And I think that education is a tough case because so much has been pitched and so much has been sold. Schools have been told that this is the future, and parents are told that this is the future. Actually, it’s not clear, it’s not clear how much of this is the future and how much some of this is just our feeling

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more on Sherry Turkle in this IMS blog
http://blog.stcloudstate.edu/ims?s=turkle

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