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Author: Brian S McGowan, PhD

RESOURCE: Coursera forced to call off a MOOC amid complaints about the course

Maybe it was inevitable that one of the new massive open online courses would crash. After all, MOOCs are being launched with considerable speed, not to mention hype. But MOOC advocates might have preferred the collapse of a course other than the one that was suspended this weekend, one week into instruction: “Fundamentals of Online Education: Planning and Application.”Technology and design problems are largely to blame for the courses problems. And many students are angry that a course about online education — let alone one offered by the Georgia Institute of Technology — wouldnt have figured out the tech issues in advance, or been able to respond quickly once they became evident. Many of the problems related to the courses use of Google Docs to sign up for group discussions.

via Coursera forced to call off a MOOC amid complaints about the course | Inside Higher Ed.

STORIFY: Online and open access learning in HE: MOOCs, new pedagogies and business models #ldnMOOCS

This one day seminar was intended for senior managers and policy makers in higher education, as well as other stakeholders and innovators in both the public and private sectors. It promised to:
take a critical look at the critical surge of online and open access higher education in the US, as well as its emergence in the UK and elsewhere. And asked what it has to offer to students and Universities seeking to adapt to the new landscape.

via Online and open access learning in HE: MOOCs, new pedagogies and business models (with tweets) · glittrgirl · Storify.

RESOURCE: Teaching with Twitter: how the social network can contribute to learning

The important question to ask regarding e-learning is: What does an online space make possible by way of teaching that my class couldn’t do face-to-face? One effective answer to this is that online spaces allow students to role play and inhabit characters in a way that would be a rather embarrassing drama workshop if tried in the classroom. So in a discussion forum my entire class of 30 students can all ‘be’ one of the characters from Charles Dickens’s Bleak House, and, in character, debate the motion ‘This house believes the law is an ass’. To do this with flair they have to get under the skin of their character. In other words, they have to read the novel carefully and well, which is exactly what I want them to do. This kind of ludic, playful and creative activity is also something I have come to regard as very much having a place within the more critical discipline of English studies.

via Teaching with Twitter: how the social network can contribute to learning | Higher Education Network | Guardian Professional.

RESOURCE: The terror of tweeting: social medium or academic message?

To me this is a peculiar kind of technological confusion. If we ban live tweeting, do we also ban conversations about a paper in the lunch queue or the bar? If people really are anxious about tweeting or blogging, because it might reveal too much about them or their work, does that mean that they don’t talk to their colleagues over coffee, whether about research or the latest gossip?

To focus our anxiety on the technology is to ignore its function: the simple art of communicating and connecting with other people, and the pleasure of doing so. If an academic can talk to a colleague or a friend, they already know how and why to tweet. No further guidance is necessary.

via The terror of tweeting: social medium or academic message? | Higher Education Network | Guardian Professional.

RESOURCE: 12 Fabulous Academic Search Engines

In the world of academia, Google search engine does not always serve the purpose because most of the time its search results are not exact . I am a huge fan of Google but when it comes to academic search queries I  often have recourse to other search engines that are area or content specific. I have curated a list of some of these search engines that I personally use and I added to them other titles I found through Julie Greller . Enjoy

via 12 Fabulous Academic Search Engines ~ Educational Technology and Mobile Learning.

ABSTRACT: Probability-based text clustering algorithm by alternately repeating two operations

Abstract

Owing to the rapid advance of internet technology, users have to face to a large amount of raw data from the World Wide Web every day, most of which is displayed in text format. This situation brings a great demand for efficient text analysis techniques by internet users. Since clustering is unsupervised and requires no prior knowledge, it is extensively adopted to help analyse textual data. Unfortunately, as far as I know, almost all the clustering algorithms proposed so far fail to deal with large-scale text collection. For precisely classifying large-scale text collection, a novel probability based text clustering algorithm by alternately repeating two operations (abbreviated as PTCART) is proposed in this paper. This algorithm just repeats two operations of (a) feature set construction and (b) text partition until the optimal partition is reached. Its convergent capacity is also validated. Experiments results demonstrate that, compared with several popular text clustering algorithms, PTCART has excellent performance.

via Probability-based text clustering algorithm by alternately repeating two operations.

Reflecting on what is missing in medical education – A letter to a mentor.

Below is an excerpt from a letter I recently sent to a friend and mentor.

I hope by sharing it it may inspire others to think through these issues, and hopefully to share their ideas with the community.

 

Dear (Mentor):

We began our conversation with the definition of learning: “Learning is the extraction of insights from experience…and this extraction comes through reflection.”

I am in complete agreement and support of this statement.

(Interestingly today’s ‘rapid learning models’ try to automate the extraction and the reflection processes through algorithms and computational analysis…but it is still the human adult learner that needs to then react to this computation…presumably the reaction will be grounded in trust, relevance, and context; but this is fodder for another conversation.)

We discussed in brief the learning moment ‘when eyes dilate’ and insight has been initially identified. Perhaps we could also say that the learning moment includes the moment of cognitive dissonance, but that might cloud the term – clearly there are moments of dissonance when insight does not immediately follow. And clearly there are learning moments that are not actually moments, but actually prolonged periods of intermittent reflection that might not rise to solution and insight. This temporal element of learning plays a large role in where my head is at currently.

If learning is indeed a ‘process’ then there is surely a temporal element which may be on the scale of 30 mins or 30 days. As educators, is it not our obligation to build the support systems around and beneath our learners such that the time for re-exposure to an idea, the time for reflection, and the time for extraction of insight is as simple, efficient, and effective as possible?

It might help to think outside of the classroom and to think outside of the mentor/facilatator role: How can educators craft a better architecture that supports the prolonged process of learning? (I think this is my most basic question…and the question I that I have been working on answering for several months now.)

We then discussed the 4 questions of learning (forgive my paraphrasing) that a learner must answer before making the investment to learn:

  1. Is it relevant?
  2. Is it possible?
  3. What would it take?
  4. What is the benefit of learning it to me?

As I see it, these questions are neither binary or consistent. There would be shading in my answers and at different times I might answer each question differently…again, this leads me to ponder the temporal nature of reflection and extraction…and to therefore also question the temporal nature of a requisite learning architecture.

I do love considering the idea that so many adult learners have engineered their own structure in support of their learning process (I have written about this before at length) and this confounds the problem. The medical education community, especially the CME community has hardly considered the relevance of the learning architecture – in fact many have told me that they have faith that clinicians are smart people and therefore they know ‘how to learn.’ The reality is that extraction of insight is rarely a linear process…in fact it is quite often a laborious process. And if we rely on learners knowing how to learn, if we rely on the tens of thousands of unique and jerry-rigged learning architectures that learners have built for themselves, then is it any wonder we find it so difficult to make a connection between educational content, learning, and behavior change. There is little question, we are failing in this regard.

We may each be able to share examples of how we learn and we might each be able to share examples of how learning takes place within our educational programs, but I would argue that upon greater reflection, we would realize that we are barely making a dent in what is needed. My argument is that by moving beyond content development and by exploring new models for content architecture, we may very quickly come to learn that we can indeed transform medical education in meaningful ways.

This reminds me…I probably have some notes from our last call that I never got a chance to reflect on…

In pursuit of learning,

Brian

 

I hope there are some greater lessons to be learned from this letter and perhaps some novel ideas are generated.  I don’t claim to have all the answers, but having conversations such as the one that lead to this letter make me realize how lucky I am to have the career I have, to have the social graph I have, and, from time-to-time to have access to some of the great conversations I have.

All the best,

Brian

MANUSCRIPT: Patient safety and quality improvement education: a cross-sectional study of medical students’ preferences and attitudes

A greater proportion of students reported previous exposure to patient safety than to quality improvement topics (79% vs. 47%). More than 80% of students thought patient safety was of the same or greater importance than basic science or clinical skills whereas quality improvement was rated as the same or more important by about 70% of students. Students rated real life examples of quality improvement projects and participation in these projects with actual patients as potentially the most helpful (mean scores 4.2/5 and 3.9/5 respectively). For learning about patient safety, real life examples of mistakes were again rated most highly (mean scores 4.5/5 for MD presented mistakes and 4.1/5 for patient presented mistakes). Students rated QI as very important to their future career regardless of intended specialty (mean score 4.5/5).

http://www.biomedcentral.com/content/pdf/1472-6920-13-16.pdf

MANUSCRIPT: Sharing data for the public good and protecting individual privacy: informatics solutions to combine different goals

Data sharing requires an environment in which the professionals who handle the data adhere to the highest ethical standards and implement systematic processes that (a) measure data quality, (b) respect to consumer preferences, (c) successfully identify research cohorts, and (d) are scalable.

http://jamia.bmj.com/content/20/1/1.full.pdf html

ABSTRACT: Implementing an interface terminology for structured clinical documentation

Abstract
Clinically oriented interface terminologies support interactions between humans and computer programs that accept structured entry of healthcare information. This manuscript describes efforts over the past decade to introduce an interface terminology called CHISL (Categorical Health Information Structured Lexicon) into clinical practice as part of a computer-based documentation application at Vanderbilt University Medical Center. Vanderbilt supports a spectrum of electronic documentation modalities, ranging from transcribed dictation, to a partial template of free-form notes, to strict, structured data capture. Vanderbilt encourages clinicians to use what they perceive as the most appropriate form of clinical note entry for each given clinical situation. In this setting, CHISL occupies an important niche in clinical documentation. This manuscript reports challenges developers faced in deploying CHISL, and discusses observations about its usage, but does not review other relevant work in the field.

via Implementing an interface terminology for structured clinical documentation — Rosenbloom et al. — Journal of the American Medical Informatics Association.