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Assessment of Deeper Learning
AI, machine learning, MOOCs (oh my!) and more...anything that strikes me as potentially related to digital media-based assessment of higher order thinking.
Curated by davidgibson
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Machine-Learning Algorithm Outperforms Predecessors - Laboratory Equipment

Machine-Learning Algorithm Outperforms Predecessors - Laboratory Equipment | Assessment of Deeper Learning | Scoop.it
Laboratory Equipment Machine-Learning Algorithm Outperforms Predecessors Laboratory Equipment Image: MIT Reinforcement learning is a technique, common in computer science, in which a computer system learns how best to solve some problem through...
davidgibson's insight:

I've posted this news before I believe, but it bears repeating - concerning RLPy (for reinforcement learning and Python) from MIT

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Badge pathways: part 2, the "quel"

Badge pathways: part 2, the "quel" | Assessment of Deeper Learning | Scoop.it
          In the badge pathways paraquel post we discussed the importance of the whole system and how your badges can coalesce into something greater than its parts. But le...
davidgibson's insight:

The 3 part structure of one's "strengths, interests and aspirations" that I've used as a mental model for decades might have an alignment with Carla's "command, contract and desire" paths framework. Strengths lead to first building on them and then trusting the recommendations other make for shoring up weaknesses. Interests statements declare your allegience to something, which can lead to contracts. Aspirations are the lofty horizons that you explore via independent exploration or creation of new pathways.

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How Machine Learning and Big Data Are Changing the Face of Biological Sciences

Until recently, the wet lab has been a crucial component of every biologist. Today's advances in the production of massive amounts of data and the creation of machine-learning algorithms for processing that data are changing the face of biological science—making it possible to do real science without a wet lab. David Heckerman shares several examples of how this transformation in the area of genomics is changing the pace of scientific breakthroughs.


Via Szabolcs Kósa
davidgibson's insight:

This 36 min video is well worth the time spent - to get an idea (hopefully a transferrable one) about Big Data and the frontiers of science. In this case both "wet lab" (test tubes microscopes) and "dry lab" (computer modeling with machine learning) and needed and so is content as well as computational literacy.

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Games in Education mini conference 2013 | Learning + Technology

Games in Education mini conference 2013 | Learning + Technology | Assessment of Deeper Learning | Scoop.it
EdGE researchers are using video analysis of game play and educational data mining (EDM) to identify moves and the development of strategies the may be evidence of implicit knowledge building within the games.
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Sheila’s work blog » Learning Analytics for Assessment and Feedback Webinar, 15 May

Sheila’s work blog » Learning Analytics for Assessment and Feedback Webinar, 15 May | Assessment of Deeper Learning | Scoop.it
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Online Learning with Stream Mining

Talk given at the San Francisco Machine Learning Meetup on April 24, 2013.
davidgibson's insight:

In this case, the "learner" is the machine learning ecosystem...but I have a feeling that these methods may be needed to understand human performance over time in digital spaces as well.

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New Report Taps the 6 Ed Tech Trends to Watch in K-12 -- THE Journal

New Report Taps the 6 Ed Tech Trends to Watch in K-12 -- THE Journal | Assessment of Deeper Learning | Scoop.it
Cloud computing and mobile technology are the top technologies to watch in education, according to this year's K-12 Horizon Report, an annual publication from the New Media Consortium that highlights developing trends in ed tech.

Via Carolyn Wiberg
davidgibson's insight:

...the K-12 Horizon Report...say no more.

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Carolyn Wiberg's curator insight, May 23, 2013 8:45 PM

While we have the innovations today, it appears that open content and learning analytics are still about two to three years to adoption.



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Dr. Denise Whitelock: Learning Analytics and Automatic Feedback ...

Dr. Denise Whitelock: Learning Analytics and Automatic Feedback ... | Assessment of Deeper Learning | Scoop.it
During his stay, Dr. Whitelock offered workshop The Research Workshop Learning Analytics and student feedback and seminar Automatic feedback for motivation and self-regulation. The latter forms part lecture series on ...
davidgibson's insight:

Look for the slideshare at http://www.slideshare.net/eLearnCenter/open-seminar-automatic-feedback-for-motivation-and-selfregulation-denise-whitelock

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How Games Help Students Embrace Failure - OnlineUniversities.com

How Games Help Students Embrace Failure - OnlineUniversities.com | Assessment of Deeper Learning | Scoop.it

Via JackieGerstein Ed.D.
davidgibson's insight:

...hey just pick yourself up and try again...

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Machine Learning Video Library - Learning From Data (Abu-Mostafa)

Machine Learning Video Library - Learning From Data (Abu-Mostafa) | Assessment of Deeper Learning | Scoop.it
davidgibson's insight:

I love sites like this!

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Best of H+: Artificial Intelligence & A New Age of Magical Thinking

Best of H+: Artificial Intelligence & A New Age of Magical Thinking | Assessment of Deeper Learning | Scoop.it

h+ Magazine is a new publication that covers technological, scientific, and cultural trends that are changing human beings in fundamental ways.


Via LeapMind
davidgibson's insight:

FYI if you follow AI in educational technology

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400 ppm CO2: What It Means

400 ppm CO2: What It Means | Assessment of Deeper Learning | Scoop.it
Learn about what the number 400 means for our future.
davidgibson's insight:

This is a bit off-topic of my scoops for assessing deeper learning, but if we don't have a place to live, then assessment will seem like a much less important issue.

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The Two Cultures: statistics vs. machine learning? - Cross Validated

davidgibson's insight:

I've been dipping my toes into the two cultures (love the ref to the C.P. Snow term) and really appreciate the added details in this set of blog links and discussion points, comparing stats and machine learning - also, do follow the link on data mining, which is different from machine learning...maybe we need a "3 cultures" article!

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Epistemic Games to Improve Professional Skills and Values -- David Williamson Shaffer


Via Jim Lerman
davidgibson's insight:

The concept of "epistemic" seems close to "authentic" in a "walk in someone else's shoes" sort of way; but there is more to it so take a look as soon as you can.

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Jim Lerman's curator insight, May 29, 2013 6:39 PM

From the paper:

 

"In the 1970s and 1980s, MIT Professor Donald Schön asked a fundamental
question about higher education: is the current curriculum, he wondered, the right way to train young professionals? Schön’s answer was that professional education in the late 20thCentury was outdated. It was based on ideas about thinking, learning, and professional expertise that were not appropriate for preparing students to work in complex and uncertain domains that demand autonomy, judgment, and the ability to solve problems in action and on the spot. [2, 3]

 

"Now, at the beginning of the 21st Century, we need to ask a similar question about all education: is the current system the right way to prepare young people for life in a world where new technologies of information and communication place a premium on creative and innovative thinking? My answer is in two parts. The bad news is that the technologies of the digital age bring the same problems and issues that Schön identified in professional education to all of education. However, the good news is that the same technologies that make innovative and creative thinking critical skills for the future also make it possible for students to prepare for that future through well-designed and sophisticated computer games for learning

 

"Computer games, in other words, may be a critical part of the future of education in the digital age, and while in this analysis, because of my own particular expertise I draw examples primarily (though not exclusively) from the United States, the issues and analysis holds for any nation that wishes to prepare itself and its citizens for our changing world."

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Sentient Search: Inside Machine Learning for SEO [INFOGRAPHIC]

Sentient Search: Inside Machine Learning for SEO [INFOGRAPHIC] | Assessment of Deeper Learning | Scoop.it

Via Tony Fish
davidgibson's insight:

Say no more...

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Scoring Engine Via PMML Makes Hadoop Easier

Scoring Engine Via PMML Makes Hadoop Easier | Assessment of Deeper Learning | Scoop.it
Working with predictive models and machine-learning applications on Apache Hadoop (RT @pawcon: Working with #predictive models, machine-learning: Scoring engine via #PMML makes #Hadoop easier, by http://t.co/YfTAXzVgZe)...
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Open Course Frameworks: Lowering the Barriers to OER Adoption

Open Course Frameworks: Lowering the Barriers to OER Adoption | Assessment of Deeper Learning | Scoop.it
I've been fairly quiet recently about Lumen Learning, the "RedHat for OER" I founded earlier this year with Kim Thanos. Lumen (for short) is where I'm spending my Shuttleworth Fellowship time, with...
davidgibson's insight:

Is this OEI for OER (infrastructure...for resources?) If so, then let's add automated analytics, digital performance assessments "item bank" (I say "item" because each item is really a complex multimedia object, and what else? What would you like to have OE-access to?

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The Shape of Data

The Shape of Data | Assessment of Deeper Learning | Scoop.it
Exploring the geometry behind machine learning, data mining, etc.
davidgibson's insight:

Intro...

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IMEJ Article - TADA-Ed for Educational Data Mining

IMEJ Article - TADA-Ed for Educational Data Mining | Assessment of Deeper Learning | Scoop.it
TADA-Ed stands for Tool for Advanced Data Analysis in Education. It is a data mining platform dedicated to teachers, allowing them to visualize and mine students on-line exercise work with the aim of discovering pedagogically relevant patterns.
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Automatic feedback for motivation and self-regulation

Open Seminar by Prof. Denise Whitelock Open University Institute of Educational Technology 10 May 2013
davidgibson's insight:

Here is the direct link to her slideshare

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Using the Facebook group as a learning management system: An exploratory study - Wang - 2011 - British Journal of Educational Technology - Wiley Online Library

Using the Facebook group as a learning management system: An exploratory study - Wang - 2011 - British Journal of Educational Technology - Wiley Online Library | Assessment of Deeper Learning | Scoop.it

Facebook is a popular social networking site. It, like many other new technologies, has potential for teaching and learning because of its unique built-in functions that offer pedagogical, social and technological affordances. In this study, the Facebook group was used as a learning management system (LMS) in two courses for putting up announcements, sharing resources, organizing weekly tutorials and conducting online discussions at a teacher education institute in Singapore.


Via Dr. Susan Bainbridge, Peter Mellow
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Getting students useful feedback from machine learning - e-Literate

Getting students useful feedback from machine learning - e-Literate | Assessment of Deeper Learning | Scoop.it
Facilitative vs authoritative Accountable Talk in conversational agents (chatbots) for education
http://t.co/gqzsWaXHUz via @PhilOnEdTech
davidgibson's insight:

This great posting led me down several new paths just now...landed on and downloaded LightSIDE "making machine learning easy" (well maybe for some people - haha)

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Educational Technology and Mobile Learning: Awesome Poster on Bloom's Revised Taxonomy

Educational Technology and Mobile Learning: Awesome Poster on Bloom's Revised Taxonomy | Assessment of Deeper Learning | Scoop.it

Med Kharback:

I just got this poster from a fellow teacher featuring the 6 thinking skills as outlined in the revised taxonomy. As you probably know, Blooms taxonomy that was first created in the 1950s has been revised by Krathwohl and there are two  main changes that appeared in this revised taxonomy: the first one is semantic in that nouns are now being replaced with verbs; and the second change relates to the order of these thinking skills. In the old taxonomy, Bloom highlighted the importance of evaluating and therefore placed it at the top of the  thinking continuum, but for Krathwohl Creating is the highest order thinking skill.


Via Dennis T OConnor, Philip Polack, Susan, Carolyn Wiberg
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Bonnie Bracey Sutton's comment, June 20, 2013 7:47 AM
I like the ground source sharing.. you are welcome.
Paul Gagnon's comment, June 20, 2013 9:30 AM
Yes it is great. Wish I had these technologies year's ago when I was in my prime so to speak.:-)
Shannon O'Connor's curator insight, November 21, 2013 10:32 AM

The link below actually has all the slides i a larger version that can be used with a poster maker.

http://naomiharm.org/05-2Bloom-13+Elem+Posters.pdf

Suggested by MOOC News & Reviews
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Massive MOOC Grading Problem - Stanford HCI Group Tackles Peer Assessment - moocnewsandreviews.com

Massive MOOC Grading Problem - Stanford HCI Group Tackles Peer Assessment - moocnewsandreviews.com | Assessment of Deeper Learning | Scoop.it
Peer assessment may lead to better learning outcomes. In his Human Computer Interface course, Scott Klemmer of th HCI Group found that students can be put to work reviewing their cohorts.
davidgibson's insight:

I think of several ways to address the problem of scaling high quality feedback: 1) continuously human-shaped machine learning, 2) self and peer assessment using rubrics and automated feedback on those uses, 3) automated unobtrusive assessments, and 4) expert feedback. Numbers 2,3,4 feed into number 1.

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Jenny Wakefield's comment, May 17, 2013 4:07 PM
The problem I see with 2) “peer feedback” is that peers rarely give good feedback. I say this based on experience from classes I have taken myself but also from within classes I have taught where I have asked students to provide peer feedback. Often the feedback given is lofty and/or positive in nature – rarely constructive leading to improvement/change. The machine-generated feedback holds more promise, as I see it. We need a way to extend on this – the automated machine-generated feedback. It is staring to emerge through systems such as Turn-It-In and Pearson’s machine-generated correction systems. There is definitely still room for continued development here though.
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#LAK11 – Week 2 – Educational Data Mining

#LAK11 – Week 2 – Educational Data Mining | Assessment of Deeper Learning | Scoop.it
Week 2 of the Learning Analytics (LAK11) course focuses on the emerging field of educational data mining (EDM).    Data mining tries to make senses of huge amounts of data.  These can be in tabular...
davidgibson's insight:

My comment on this was: If you data mined students responses to why they did such and such, would that not address a “why” question? In work I’ve been doing with Jody Clarke-Midura, the data being mined are the paths students have taken to arrive at a scientific conclusion. Patterns of activity found for subgroups in the data appear to us to be signs of both “how” and “why”. The paths might indicate how a certain group of students navigated some decisions and then why that led them to a particular conclusion. Group membership is then one of the predictive elements of the analysis; if someone can be shown to be a member of a certain group, then the probability of that student doing certain things and claiming certain things is increased.

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Bonnie Bracey Sutton's comment, May 8, 2013 12:06 PM
This is excellent