gpmt
51.6K views | +5 today
Follow
gpmt
infos utiles aux gpmt (formation blended learning)
Your new post is loading...
Your new post is loading...
Scooped by michel verstrepen
Scoop.it!

Rebirth of the Teaching Machine through the Seduction of Data Analytics: This Time It's Personal

Rebirth of the Teaching Machine through the Seduction of Data Analytics: This Time It's Personal | gpmt | Scoop.it
This was written by Phil McRae who is an executive staff officer with the Alberta Teachers` Association. Dr. Phil McRae’s Biography, Research, Writing, Scholarship and Presentations can be found at www.philmcrae.com, and you can follow him on Twitter here.
No comment yet.
Rescooped by michel verstrepen from Teachning, Learning and Develpoing with Technology
Scoop.it!

MOOCs and other ed-tech bubbles

MOOCs and other ed-tech bubbles | gpmt | Scoop.it

"Why most of what currently excites the ed-tech world is hot air: MOOCs, Learning Analytics and Open Education Resources, amongst other fads.

It is impossible to make progress with a cogent argument for how education technology will transform education while most of the community accepts as self-evident half-baked notions of “independent learners” and “21st century skills”, believes that creativity is possible without knowledge, or that testing is a dirty word."


Via Peter B. Sloep, Paulo Simões, Teaching, Learning & Developing with Technology
Peter B. Sloep's curator insight, January 3, 2013 9:11 AM

And so Crispin Weston goes on to attack MOOCs, Learning Analytics and Open Educational Resources. After discussing each bubble, including why it is destined to pop, he discusses the question of what is needed to make the innovation that each bubble foreshadows, last.

 

Weston makes several sensible observations, such as "an academic education is not equivalent to a trip to the public library, digital or otherwise", or learning "analytics is predicated on 'big data' but in education, big data will not exist until we sort out the current failure of interoperability", or with Open Education Resources "the quality of the resources themselves and the pedagogies they represent are poor." However, these observations lead to incoherent arguments, in the case of Learning Analytics to downright insinuating ones. His arguments do not attempt to represent the complexity of the situation that surrounds each of these educational innovations. Rather they serve one purpose, portraying the innovation as a bubble. 

 

Weston's arguments lack subtlety to the degree that there seems to be an agenda underlying them, and indeed there is one. It is that research should be taken out of the hands of academics and public funding bodies to make place for "proper R&D that is commercially-funded and responds to market requirements." There is of course nothing wrong with companies getting involved in R&D. Indeed, in EU framework projects always commercial parties participate in the research consortia that are set up. But it is too simplistic to portray research done by companies as proper and all the rest as improper.

 

With Weston I have my doubt and worries about MOOCs, Learning Analytics and OERs. They have bubble-like qualities in that researchers and educational administrators seem too uncritically adopt them. Uncritically adopting technological innovations in education actually happens quite often. And industry has more than once played a dubious role in this, see what Todd Oppenheimer in his Flickering Mind writes about the money that was wasted on the introduction of computers in K-12 education. The conclusion should be that a discussion about innovations such as MOOCs, Learning Analytics, Open Educational Resources, e-Portfolios, Serious Games, Adaptive Learning systems should never be guided by political agendas such as boosting commercial research. There is enough to worry about as it is. What really gets me worried is the idea that the venture capitalists that fund the MOOCs are going to determine the destiny of Higher Education; precisely because they think commercially and respond to market requirements only.

Rescooped by michel verstrepen from Educational Mixology 2 -- tools, strategies, & compendia
Scoop.it!

Student engagement | online learning insights

Student engagement | online learning insights | gpmt | Scoop.it
Learning Analytics…less data more insight. Analytics primary task is not to report the past, but to help find the optimal path to the desired future. (Shum, 2012)
Via Sue Hellman
No comment yet.
Rescooped by michel verstrepen from E-Learning-Inclusivo (Mashup)
Scoop.it!

Privacy and the use of learning analytics | Tony Bates

Privacy and the use of learning analytics | Tony Bates | gpmt | Scoop.it

cprMaking sense of learning analytics

The Open University has always collected data on students since it started. In fact, McIntosh, Calder and Smith (1976) found that statistically, the best predictor of success was whether a student returned a questionnaire in the first week of a course, as this indicated their commitment. It still didn’t tell you what to do about the students who didn’t return the questionnaire. (In fact, the OU’s solution at the time was not to count anyone as an enrolment until they had completed an assignment two weeks into the course – advice that MOOC proponents might pay attention to).

As with so many technology developments, the issue is not so much the technology but how the technology is used, and for what purposes. Conscientious instructors have always tried to track or monitor the progress of individual students and learning analytics merely provides a more quantitative and measurable way of tracking progress. The issue though is whether the data you can track and measure can offer solutions when students do run into trouble.

My fear is that learning analytics will replace the qualitative assessment that an instructor gets from, for instance, participating in a live student discussion, monitoring an online discussion forum, or marking assignments. This is more likely to identify the actual conceptual or learning problems that students are having and is more likely to provide clues to the instructor about what needs to be done to address the learning issues. Indeed in a discussion the instructor may be able to deal with it on the spot and not wait for the data analysis. Whether a student chooses to study late at night, for instance, or only reads part of a textbook, might provide a relatively weak correlation with poorer student performance, but recommending students not to stay up late or to read all the textbook may not be the appropriate response for any individual student, and more importantly may well fail to identify key problems with the teaching or learning.


Via Miloš Bajčetić, Alfredo Calderón, juandoming
No comment yet.
Rescooped by michel verstrepen from 21st Century Learning and Teaching
Scoop.it!

Learning Analytics: Leveraging Education Data [Infographic]

Learning Analytics: Leveraging Education Data [Infographic] | gpmt | Scoop.it

Via Gust MEES
Gust MEES's curator insight, January 20, 2013 11:00 AM

A MUST know for any person in the Education field!!!

 

davidgibson's curator insight, March 6, 2013 9:18 AM

Gotta love these visuals...read with a critical eye and find if it misses a mark you wish could be added to the picture.

David Mooers's comment, April 12, 2013 2:52 AM
I see a great potential for students to delve deeper into a particular field of interest captivating and encouraging specialization unleashing the limitations of standardized teaching
Rescooped by michel verstrepen from tips Distance Learning
Scoop.it!

Understanding Learning Analytics and Student Data

Understanding Learning Analytics and Student Data | gpmt | Scoop.it
There's a lot to unpack about learning analytics -- everything from how student data is captured to how it will be used.

Via Gisele Brugger
No comment yet.