educational technology

The Overselling of Education Technology

By Alfie Kohn     Mar 16, 2016

https://www.edsurge.com/news/2016-03-16-the-overselling-of-education-technology

my response to ed tech is “It depends.”

Some people seem to be drawn to technology for its own sake—because it’s cool.

Other people, particularly politicians, defend technology on the grounds that it will keep our students “competitive in the global economy.”

But the rationale that I find most disturbing—despite, or perhaps because of, the fact that it’s rarely made explicit—is the idea that technology will increase our efficiency…at teaching the same way that children have been taught for a very long time. Perhaps it hasn’t escaped your notice that ed tech is passionately embraced by very traditional schools: Their institutional pulse quickens over whatever is cutting-edge: instruction that’s blended, flipped, digitally personalized.

We can’t answer the question “Is tech useful in schools?” until we’ve grappled with a deeper question: “What kinds of learning should be taking place in those schools?”

Tarting up a lecture with a SmartBoard, loading a textbook on an iPad, looking up facts online, rehearsing skills with an “adaptive learning system,” writing answers to the teacher’s (or workbook’s) questions and uploading them to Google Docs—these are examples of how technology may make the process a bit more efficient or less dreary but does nothing to challenge the outdated pedagogy. To the contrary: These are shiny things that distract us from rethinking our approach to learning and reassure us that we’re already being innovative.

putting grades online (thereby increasing their salience and their damaging effects), using computers to administer tests and score essays, and setting up “embedded” assessment that’s marketed as “competency-based.” (If your instinct is to ask “What sort of competency? Isn’t that just warmed-over behaviorism?”

But as I argued not long ago, we shouldn’t confuse personalized learning with personal learning. The first involves adjusting the difficulty level of prefabricated skills-based exercises based on students’ test scores, and it requires the purchase of software. The second involves working with each student to create projects of intellectual discovery that reflect his or her unique needs and interests, and it requires the presence of a caring teacher who knows each child well.a recent review found that studies of tech-based personalized instruction “show mixed results ranging from modest impacts to no impact” – despite the fact that it’s remarkably expensive.

 an article in Education Week, “a host of national and regional surveys suggest that teachers are far more likely to use tech to make their own jobs easier and to supplement traditional instructional strategies than to put students in control of their own learning.”

OECD reportednegative outcomes when students spent a lot of time using computers, while Stanford University’s Center for Research on Education Outcomes (CREDO) concluded that online charter schools were basically a disaster.

Larry Cuban, Sherry Turkle, Gary Stager, and Will Richardson.

Emily Talmage points out, uncannily aligned with the wish list of the Digital Learning Council, a group consisting largely of conservative advocacy groups and foundations, and corporations with a financial interest in promoting ed tech.

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more on educational technology in this IMS blog
https://blog.stcloudstate.edu/ims?s=educational+technology

media, digital literacy and fake news

An interactive discussion on media, digital literacy and fake news

Bryan Alexander’s Future Trends Forum w/ Special Guest Jennifer Sparrow

https://shindig.com/login/event/ftf-sparrow

On this week’s Future Trends Forum, Bryan Alexander and Jennifer Sparrow, the Senior Director of Teaching and Learning with Technology at Penn State University, will explore the significance of media and digital literacy, especially in the era of fake news.

Jennifer and Bryan will further dissect how digital literacy and fluency differ, and why this difference is important.

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more on digital literacy in this IMS blog
https://blog.stcloudstate.edu/ims?s=digital+literacy+education

sound and the brain

What Types of Sound Experiences Enable Children to Learn Best?

https://www.kqed.org/mindshift/46824/what-types-of-sound-experiences-enable-children-to-learn-best
At Northwestern’s Auditory Neuroscience Lab, Kraus and colleagues measure how the brain responds when various sounds enter the ear. They’ve found that the brain reacts to sound in microseconds, and that brain waves closely resemble the sound waves.
Making sense of sound is one of the most “computationally complex” functions of the brain, Kraus said, which explains why so many language and other disorders, including autism, reveal themselves in the way the brain processes sound. The way the brain responds to the “ingredients” of sound—pitching, timing and timbre—is a window into brain health and learning ability.

practical suggestions for creating space “activities that promote sound-to-meaning development,” whether at home or in school:
Reduce noise. Chronic background noise is associated with several auditory and learning problems: it contributes to “neural noise,” wherein brain neurons fire spontaneously in the absence of sound; it reduces the brain’s sensitivity to sound; and it slows auditory growth.
Read aloud. Even before kids are able to read themselves, hearing stories told by others develops vocabulary and builds working memory; to understand how a story unfolds, listeners, need to remember what was said before.
Encourage children to play a musical instrument. “There is an explicit link between making music and strengthening language skills, so that keeping music education at the center of curricula can pay big dividends for children’s cognitive, emotional, and educational health.Two years of music instruction in elementary and even secondary school can trigger biological changes in how the brain processes sound, which in turn affects language development.
Listen to audiobooks and podcasts. Well-told stories can draw kids in and build attention skills and working memory. The number and quality of these recordings has exploded in recent years, making it that much easier to find a good fit for individuals and classes.
Support learning a second language. Growing up in a bilingual environment causes a child’s brain to manage two languages at once.
Avoid white noise machines. In an effort to soothe children to sleep, some parents set up sound machines in bedrooms. These devices, which emit “meaningless sound,” as Kraus put it, can interfere with how the brain develops sound-processing circuitry.
Use the spread of technology to your advantage. Rather than bemoan the constant bleeping and chirping of everyday life, much of it the result of technological advances, welcome the new sound opportunities these developments provide. Technologies that shrink the globalized world enable second-language learning.

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More on the brain in this IMS blog
https://blog.stcloudstate.edu/ims?s=brain

student-centered social media policy

How to Craft Useful, Student-Centered Social Media Policies

08/09/18  Tanner Higgin

https://thejournal.com/articles/2018/08/09/how-to-craft-useful-student-centered-social-media-policies.aspx

Whether your school or district has officially adopted social media or not, conversations are happening in and around your school on everything from Facebook to Snapchat.

Use policy creation as an opportunity to take inventory of your students’ needs, how social media is already being used by your teachers, and how policy can support both responsibly.

1. Create parent opt-out forms that specifically address social media use.

2. Establish baseline guidelines for protecting and respecting student privacy.

3. Make social media use transparent to students

4. Most important: As with any technology, attach social media use to clearly articulated goals for student learning

Moving from Policy to Practice

Social media isn’t a novel phenomenon requiring separate attention. Ed tech, and the tech world in general, wants to tout every new development as a revolution. Most, however, are an iteration. While we get caught up re-inventing everything to wrestle with a perceived social media sea change, our students see it simply as a part of school life.

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more on social media in education in this IMS blog
https://blog.stcloudstate.edu/ims?s=social+media+education

 

Teachers on Instagram

Teachers Are Moonlighting As Instagram Influencers To Make Ends Meet

One teacher in Texas told BuzzFeed News she makes a $50,000 a year, but made over $200,000 in a year through Instagram.

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more on social media in education in this IMS blog
https://blog.stcloudstate.edu/ims?s=social+media+education

Data Lake

What is a Data Lake? A Super-Simple Explanation For Anyone

September 6, 2018 Bernard Marr

https://www.linkedin.com/pulse/what-data-lake-super-simple-explanation-anyone-bernard-marr/

James Dixon, the CTO of Pentaho is credited with naming the concept of a data lake. He uses the following analogy:

“If you think of a datamart as a store of bottled water – cleansed and packaged and structured for easy consumption – the data lake is a large body of water in a more natural state. The contents of the data lake stream in from a source to fill the lake, and various users of the lake can come to examine, dive in, or take samples.”

A data lake holds data in an unstructured way and there is no hierarchy or organization among the individual pieces of data. It holds data in its rawest form—it’s not processed or analyzed. Additionally, a data lakes accepts and retains all data from all data sources, supports all data types and schemas (the way the data is stored in a database) are applied only when the data is ready to be used.

What is a data warehouse?

A data warehouse stores data in an organized manner with everything archived and ordered in a defined way. When a data warehouse is developed, a significant amount of effort occurs during the initial stages to analyze data sources and understand business processes.

Data

Data lakes retain all data—structured, semi-structured and unstructured/raw data. It’s possible that some of the data in a data lake will never be used. Data lakes keep all data as well. A data warehouse only includes data that is processed (structured) and only the data that is necessary to use for reporting or to answer specific business questions.

Agility

Since a data lake lacks structure, it’s relatively easy to make changes to models and queries.

Users

Data scientists are typically the ones who access the data in data lakes because they have the skill-set to do deep analysis.

Security

Since data warehouses are more mature than data lakes, the security for data warehouses is also more mature.

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more on big data in this IMS blog
https://blog.stcloudstate.edu/ims?s=big+data

Limbic thought and artificial intelligence

Limbic thought and artificial intelligence

September 5, 2018  Siddharth (Sid) Pai

https://www.linkedin.com/pulse/limbic-thought-artificial-intelligence-siddharth-sid-pai/

An AI programme “catastrophically forgets” the learnings from its first set of data and would have to be retrained from scratch with new data. The website futurism.com says a completely new set of algorithms would have to be written for a programme that has mastered face recognition, if it is now also expected to recognize emotions. Data on emotions would have to be manually relabelled and then fed into this completely different algorithm for the altered programme to have any use. The original facial recognition programme would have “catastrophically forgotten” the things it learnt about facial recognition as it takes on new code for recognizing emotions. According to the website, this is because computer programmes cannot understand the underlying logic that they have been coded with.
Irina Higgins, a senior researcher at Google DeepMind, has recently announced that she and her team have begun to crack the code on “catastrophic forgetting”.
As far as I am concerned, this limbic thinking is “catastrophic thinking” which is the only true antipode to AI’s “catastrophic forgetting”. It will be eons before AI thinks with a limbic brain, let alone has consciousness.
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Stephen Hawking warns artificial intelligence could end mankind

https://www.bbc.com/news/technology-30290540
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thank you Sarnath Ramnat (sarnath@stcloudstate.edu) for the finding

An AI Wake-Up Call From Ancient Greece

  https://www.project-syndicate.org/commentary/artificial-intelligence-pandoras-box-by-adrienne-mayor-2018-10

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more on AI in this IMS blog
https://blog.stcloudstate.edu/ims?s=artifical+intelligence

4th industrial revolution

Are You Ready For The 4th Industrial Revolution?

Bernard Marr

https://www.linkedin.com/pulse/you-ready-4th-industrial-revolution-bernard-marr/

the Fourth Industrial Revolution, or Industry 4.0. The adoption of cyber-physical systems, the Internet of Things and the Internet of Systems

While in some ways it’s an extension of the computerization of the 3rd Industrial Revolution (Digital Revolution), due to the velocity, scope and systems impact of the changes of the fourth revolution, it is being considered a distinct era. The Fourth Industrial Revolution is disrupting almost every industry in every country and creating massive change in a non-linear way at unprecedented speed.

In his book, The Fourth Industrial Revolution, professor Klaus Schwab, founder and executive chairman of the World Economic Forum, describes the enormous potential for the technologies of the Fourth Industrial Revolution as well as the possible risks.

Our workplaces and organizations are becoming “smarter” and more efficient as machines, and humans start to work together, and we use connected devices to enhance our supply chains and warehouses. The technologies of the Fourth Industrial Revolution might even help us better prepare for natural disasters and potentially also undo some of the damage wrought by previous industrial revolutions.

There might be increased social tensions as a result of the socioeconomic changes brought by the Fourth Industrial Revolution that could create a job market that’s segregated into “low-skill/low-pay” and “high-skill/high-pay” segments.

We need to develop leaders with the skills to manage organizations through these dramatic shifts.

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More on the 4th industrial revolution in this IMS blog
https://blog.stcloudstate.edu/ims?s=industrial+revolution

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