Searching for "deep learning"

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
https://blog.stcloudstate.edu/ims?s=machine+learning

deep learning revolution

Sejnowski, T. J. (2018). The Deep Learning Revolution. Cambridge, MA: The MIT Press.

How deep learning―from Google Translate to driverless cars to personal cognitive assistants―is changing our lives and transforming every sector of the economy.

The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.

Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.

A pioneering scientist explains ‘deep learning’

Artificial intelligence meets human intelligence

neural networks

Buzzwords like “deep learning” and “neural networks” are everywhere, but so much of the popular understanding is misguided, says Terrence Sejnowski, a computational neuroscientist at the Salk Institute for Biological Studies.

Sejnowski, a pioneer in the study of learning algorithms, is the author of The Deep Learning Revolution (out next week from MIT Press). He argues that the hype about killer AI or robots making us obsolete ignores exciting possibilities happening in the fields of computer science and neuroscience, and what can happen when artificial intelligence meets human intelligence.

Machine learning is a very large field and goes way back. Originally, people were calling it “pattern recognition,” but the algorithms became much broader and much more sophisticated mathematically. Within machine learning are neural networks inspired by the brain, and then deep learning. Deep learning algorithms have a particular architecture with many layers that flow through the network. So basically, deep learning is one part of machine learning and machine learning is one part of AI.

December 2012 at the NIPS meeting, which is the biggest AI conference. There, [computer scientist] Geoff Hinton and two of his graduate students showed you could take a very large dataset called ImageNet, with 10,000 categories and 10 million images, and reduce the classification error by 20 percent using deep learning.Traditionally on that dataset, error decreases by less than 1 percent in one year. In one year, 20 years of research was bypassed. That really opened the floodgates.

The inspiration for deep learning really comes from neuroscience.

AlphaGo, the program that beat the Go champion included not just a model of the cortex, but also a model of a part of the brain called the basal ganglia, which is important for making a sequence of decisions to meet a goal. There’s an algorithm there called temporal differences, developed back in the ‘80s by Richard Sutton, that, when coupled with deep learning, is capable of very sophisticated plays that no human has ever seen before.

there’s a convergence occurring between AI and human intelligence. As we learn more and more about how the brain works, that’s going to reflect back in AI. But at the same time, they’re actually creating a whole theory of learning that can be applied to understanding the brain and allowing us to analyze the thousands of neurons and how their activities are coming out. So there’s this feedback loop between neuroscience and AI

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deep learning revolution
https://blog.stcloudstate.edu/ims?s=deep+learning

Deep learning and Wearables

RE.WORK Deep Learning Summit, Boston

May 26-27, 2015
Boston, Massachusetts

Internet of Things Summit, Boston 2015

May 28, 2015 – May 29, 2015

Hyatt Regency Boston, Boston, Massachusetts, USA

– See more at: https://www.crunchbase.com/event/internet-of-things-summit-boston-2015-2015528#sthash.cBVjBogG.dpuf

social media teaching and learning

Teaching Crowds: Learning and Social Media by Jon Dron and Terry Anderson Published by Athabasca University, Canada, ISBN: 978-1-927356-81-4 (PDF), September 2014, Pages: 370

(book review)

https://www.dhakacourier.com.bd/news/Essays/Using-social-media-platforms-in-teaching-learning/1051

Dr. Jon Dron and Professor Terry Anderson of Athabasca University, Canada attempt to introduce a new model for understanding and exploiting the pedagogical potential of Web-based technologies. Recognizing the E-learning/ online education as new model of teaching and learning, the authors show how learners can engage with social media platforms to create an unbounded field of emergent connections.

In chapter 9 ‘Issues and Challenges in Educational Uses of Social Software’ , the writers accordingly examine the dark side of social software—the ways in which it can undermine or even jeopardize, rather than deepen and extend, the experience of learning. They present a series of over-arching issues that warrant consideration by anyone who plans to use social software for learning. These include issues surrounding privacy, disclosure, and trust, cross-cultural dissonances, problems posed by the complexities of technology and by the digital divide, unpredictable systemic effects, and risks such as mob stupidity and filter bubbles.

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

measuring learning outcomes

https://www.facebook.com/groups/onlinelearningcollective/permalink/746716582625709/

a discussion from the Higher Ed Learning Collective:

In my teaching career I worked at two colleges in Wisconsin. One public and one private. Both have Learning outcomes for each course, program/major outcomes for each major, and Institutional outcomes for the college (aka Employable skills, Career essentials, or Abilities).
Recently a friend of mine started teaching an online class at the University in a different state, and she kept asking them to give her learning outcomes for the course. After some back and forth emails it turned out that this other state university doesn’t have them.
It blew my mind 🤯, how do they know what the scope and depth of teaching should be in that course? How do they get their accreditation?
I am curious to know if it is just in Wisconsin or selected states/countries that it is a common practice to have outcomes? Also how do you teach without them?

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Go to the AACU Value Rubric website and adopt several of the outcomes for the course.
https://www.aacu.org/value-rubrics

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We have LOs over here in MN.
My guess is that they’re buried deep in some filing cabinet in your friend’s university and most folks just ignore them.
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Usually the instructor is required to create the outcomes for the class, but they are usually based on meta-outcomes from the department. That’s how it has been at all institutions I have worked at. With that said, I have worked with colleagues, full professors with Ph.D.s that didn’t understand the principle of learning outcomes, and unless forced to put them in the syllabus, they either would not do it on their own or when having them, would not follow them. And forgot about triangulation of LO to activities and assessments.
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Accreditors look for program LOs but not at course level. (We learned this after a faculty member was fired for pushing back on LOs on the syllabus, and when the Uni said “SACS requirements”, SACS responded w/“um no, not really…”) Since then, we’ve collected data as part of our assessment plan & can say w/confidence that students don’t read them…

CRITICAL PEDAGOGY IN AN AGE OF ONLINE LEARNING

CRITICAL PEDAGOGY IN AN AGE OF ONLINE LEARNING

http://libjournal.uncg.edu/ijcp/article/view/1055/892?fbclid=IwAR3SHDRFlxTbj7lMAuVJ_BsO3wLQaYEcEXEukUPQVXDDOqEnHg_XT9VJ1SE

Paulo Freire and Critical Pedagogy

Freire’s pedagogical concepts, such as problem posing, dialogue, praxis, conscientiazation and the politics of education, were devel-oped in a pre-Internet era. His work in popular education was deeply interpersonal and involved spending significant time in a community becoming familiar with the culture, linguistic patterns, and lifestyle of the people before ever embarking on teaching.

struggles to employ a critical pedagogy in the increasingly assessment-oriented, outcomes-based environment

While designed to make teaching in the online environment more efficient, these systems confront the critical pedagogue with challenges to create a teaching-learning environment that promotes critical reflection not only on the content of a course but on the very way in which content is delivered.

teaching in cyberspace requires a different teaching paradigm altogether

p. 170 Feenberg (2009) developed the Critical Theory of Technology (CTT),

p. 171 As outlined by CTT, technology creates a cyber culture that redefines human identity and the meaning and means of human interaction (Gomez, 2009). When viewed through this lens, online education is not simply another tool for the promotion of learning, but rather an all-encompassing environment managing and controlling access to information, structuring relationships, and redefining individual identities.

p. 171 While masquerading as efforts to enhance student learning, these industries are clearly profit-oriented. Knowledge has become a commodity, students have become consumers, faculty have become content providers, and schools operate as businesses

p. 172 Like Feenberg (2009), Freire would be concerned with the values and principles embedded in the technology of online learning, as well as the cyber culture it has created.

p. 173 Schools did not venture into online learning because they thought it was a better way to teach, but rather because they saw it as a way to reach unreached student populations with the promise of off-site educational offerings. Only later was attention given to developing online pedagogies.

Whereas education in the United States was originally viewed as a way to prepare students for effective citizenship, now it is seen as a way to develop loyal and capable employees of their corporate overlords

p. 174 A second area of concern is the banking nature of the LMSs. One of the underlying assumptions of an LMS like Blackboard™, Moodle™, or Brightspace™ is that the online platform is a repository of resources for teaching and learning.

Freire vehemently rejected this banking approach to education because it did not recognize or encourage the student’s creative, exploratory, and critical abilities. In the banking model the teacher is regarded as the holder and transmitter of knowledge, which is then imparted to the student. The banking model assumes the student is an empty vessel and does not value or recognize the student’s experiential and cultural knowledge

By contrast Freire argued for a problem-posing, constructivist approach that invites students to critically engage their world and one another. In the critical classroom, the student at times takes on the role of teacher and the teacher becomes a learner, inviting a sharing of power and mutual learning. While this approach can be carried out to an extent online, the LMS is set up to be the primary source of information in a course, and the teacher is assigned as the expert designer of the learning experience, thus limiting the constructivist nature and mutuality of the learning process.

p. 175 A third area of concern is the limited access to online learning to large sectors of society. While e-learning advocates tout the greater access to learning provided by online learning (Goral, 2013; Kashi & Conway, 2010), the digital divide is a reality impacting millions of students.

p. 176 A final area of concern is the disembodied nature of the online learning process. One of the major attractions of online learning to potential students is the freedom from having to be in a classroom in a particular time or place.

p. 177 Embodied learning means students must not only engage the cognitive dimension (thinking and reflection), but also partake in concrete action. This action in reflection, and reflection in action, referred to as praxis, involves acting on and in the world as one is seeking to learn about and transform the world.
To limit education to the transmission and reception of text-based knowledge without action undermines the entire learning process (Escobar et al., 1994).
Freire believed dialogue begins not with what the teacher professes to know, but with the student’s experience and knowledge.

p. 179 For Freire, the building of a learning community is essential to creating meaningful dialogue; this is also true for those who seek to teach effectively online. Palloff and Pratt (2007) contend that all online teaching must begin with building community and stress that a carefully constructed online learning community provides a space for students to test ideas, get feedback, and create a collaborative learning experience.
For Freire, learning was a social and democratic event where authoritarianism and control of the learning process are minimized.
“reading the world,” or conscientization, that is, understanding the larger political context in which experience occurs and knowledge is situated. In the current era of Facebook, Twitter, instant message, and other social media, in-depth discussion and analysis is often absent in favor of brief, often innocuous statements and personal opinions.
Through online academic databases, students have easy access to far more sources of information than previous generations. Furthermore, search engines like Google, Yahoo, and the like bring students in contact with remote sources, organizations, and individuals instantly.

p. 180 the challenge is not only the accessing of information, but also encouraging students to become discerning purveyors of information—to develop “critical digital literacy,” the capacity to effectively and critically navigate the databases and myriads of potential sources (Poore, 2011, p. 15)

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

https://blog.stcloudstate.edu/ims?s=online+learning

Teaching and Learning + Student Success

EDUCAUSE Academic Communities: Teaching and Learning + Student Success

https://events.educause.edu/webinar/2020/educause-academic-communities-teaching-and-learning-student-success

Tuesday, February 25, 2020, at 12:00 pm,
Miller Center, MC 205, the SCSU Professional Development Room
(how to get there? https://youtu.be/jjpLR3FnBLI  )

You will receive an email from Canvas Catalog when you have been granted access to the event website. This site includes live event login details, program and speaker information, and technical requirements.

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My notes from the Adobe Connect webinar

Malcolm Brown (MB) and Kathe Pelletier (KP)campus outcomes

 

 

John Martin, UW-Madison: Interesting that “Student Success” = retention. I feel retention = org success.

Cindy Auclair: Cindy Auclair – ASU – Retention is important that goes hand in hand with well-being.

Kathy Fernandes, CSU Chico: Not sure how one would measure Becoming a Citizen? We do have public Debates, Town Hall, etc. to engage with community.

Lisa Durff: I thought of digital citizenship

assessment

Jim J – MiraCosta: “as a part of teaching and learning” is a real gray area –

Jim J – MiraCosta: We may measure all of these, but there is very little formality around “teaching and learning”

Lisa Durff: very few measure instructor satisfaction

work together

 

student success after 2017 shifts from SS and technology to SS and other issues

digital transformation

why tech adoption doesn’t equal digital transformation. article from Forbes. MB: it is not for sale, cannot buy. not a product, but deep and coordinated shifts: culture, workforce, technology.

student success

 

 

ask for EDUCAUSE Academic Communities PDF document

Malcolm Brown: 2019 Horizon Report https://library.educause.edu/resources/2019/4/2019-horizon-report

Malcolm Brown: Transforming Higher Ed blog https://er.educause.edu/columns/transforming-higher-ed

Malcolm Brown: EDUCAUSE Student Success https://library.educause.edu/topics/information-technology-management-and-leadership/student-success

https://www.educause.edu/research-and-publications/research/core-data-service

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more on Educause in this IMS blog
https://blog.stcloudstate.edu/ims?s=educause

game based learning

How Game-Based Learning Empowers Students for the Future

https://www.edsurge.com/news/2019-01-22-its-2019-so-why-do-21st-century-skills-still-matter

educators’ guide to game-based learning, packed with resources for gaming gurus and greenhorns alike.

How are schools and districts preparing students for future opportunities? What is the impact of game-based learning?

It’s 2019. So Why Do 21st-Century Skills Still Matter?

By Suzie Boss     Jan 22, 2019

21st-century trends such as makerspaces, flipped learning, genius hour, gamification, and more.

EdLeader21, a national network of Battelle for Kids.has developed a toolkit to guide districts and independent schools in developing their own “portrait of a graduate” as a visioning exercise. In some communities, global citizenship rises to the top of the wish list of desired outcomes. Others emphasize entrepreneurship, civic engagement, or traits like persistence or self-management.

ISTE Standards for Students highlight digital citizenship and computational thinking as key skills that will enable students to thrive as empowered learners. The U.S. Department of Education describes a globally competent student as one who can investigate the world, weigh perspectives, communicate effectively with diverse audiences, and take action.

Frameworks provide mental models, but “don’t usually help educators know what to do differently,” argues technology leadership expert Scott McLeod in his latest book, Harnessing Technology for Deeper Learning. He and co-author Julie Graber outline deliberate shifts that help teachers redesign traditional lessons to emphasize goals such as critical thinking, authenticity, and conceptual understanding.

1. Wondering how to teach and assess 21st-century competencies? The Buck Institute for Education offers a wide range of resources, including the book, PBL for 21st Century Success: Teaching Critical Thinking, Collaboration, Communication, and Creativity (Boss, 2013), and downloadable rubrics for each of the 4Cs.

2. For more strategies about harnessing technology for deeper learning,listen to the EdSurge podcast featuring edtech expert and author Scott McLeod.

3. Eager to see 21st-century learning in action? Getting Smart offers suggestions for using school visits as a springboard for professional learning, including a list of recommended sites. Bob Pearlman, a leader in 21st century learning, offers more recommendations.

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more on game- based learning in this IMS blog
https://blog.stcloudstate.edu/ims?s=game+based

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