learning analytics for learning and becoming in practice - #icls2014 workshop
TRANSCRIPT
Learning Analytics
Process vs Practice
Simon Knight, Alyssa Wise, Golnaz Arastoopour,
David Williamson Shaffer, Simon Buckingham Shum, Paul Kirschner, Wesley Collier
Getting Started
Getting Started
Introductions
Name, Institution & Department
Getting Started
Introductions
Name, Institution & Department
#ICLSLA #ICLS14
Getting Started
Introductions
Name, Institution & Department
#ICLSLA #ICLS14
Collaborative Notes
https://icls.etherpad.mozilla.org/1
Process vs. Practice
Process vs. Practice
What’s the difference?
a starting point for thinking about Process
a series of related actions engaged in as part of
learning activities
a starting point for thinking about Practice
a repertoire of processes organized around
particular foci recognized within a social group
Process vs. Practice
Practice = Process + Process + Process ?
Process vs. Practice
Practice = Process + Process + Process ?
Practice { Identity, Goals, Intentionality }
Process vs. Practice and Learning Analytics
Theoretical Frame
Process vs. Practice and Learning Analytics
BIG Data Mining
Process vs. Practice and Learning Analytics
BIG Data Mining
RICH Data Exploration
Process vs. Practice and Learning Analytics
BIG Data Mining
RICH Data Exploration
&
THEORY Informed Interpretation
Data Mining
Process vs. Practice and Learning Analytics
(Shaffer, 2013)
Process vs. Practice and Learning Analytics
Data Geology
Process vs. Practice and Learning Analytics
BIG Data Mining
RICH Data Exploration
&
THEORY Informed Interpretation
Process vs. Practice and Learning Analytics
BIG Data Mining
RICH Data Exploration
&
THEORY Informed Interpretation
RECONSTRUCTION of a past civilization
(Wise, 2013)
Process vs. Practice and Learning Analytics
Data Archeology
Process vs. Practice and Learning Analytics
Theoretical Frame
Temporality
Temporality and Learning Analytics
Code & Count vs. Process Data
Temporality and Learning Analytics
Code & Count vs. Process Data
Occurrances vs. Sequences
Temporality and Learning Analytics
Code & Count vs. Process Data
Occurrances vs. Sequences
Temporality and Learning Analytics
Code & Count vs. Process Data
Occurrances vs. Sequences
Snapshots vs. Accumulation
Temporality and Learning Analytics
Code & Count vs. Process Data
Occurrances vs. Sequences
Snapshots vs. Accumulation
Process vs. Practice and Learning Analytics
Theoretical Frame
Temporality
Context & Culture
Process vs. Practice and Learning Analytics
Theoretical Frame
Temporality
Context & Culture
Localization
How can learning analytics get at practices?
How can learning analytics get at practices?
Our schedule for the day
How can learning analytics get at practices?
Our schedule for the day
Strategies Over Time as Leverage Towards Practices
How can learning analytics get at practices?
Our schedule for the day
Strategies Over Time as Leverage Towards Practices
Co-Occurrence as Leverage Towards Practices
How can learning analytics get at practices?
Our schedule for the day
Strategies Over Time as Leverage Towards Practices
Co-Occurrence as Leverage Towards Practices
Practices in Constrained Environments
How can learning analytics get at practices?
Our schedule for the day
Strategies Over Time as Leverage Towards Practices
Co-Occurrence as Leverage Towards Practices
Practices in Constrained Environments
Interactive Demos
How can learning analytics get at practices?
Our schedule for the day
Strategies Over Time as Leverage Towards Practices
Co-Occurrence as Leverage Towards Practices
Practices in Constrained Environments
Interactive Demos
How Far Can Bottom-Up Methods Get us Towards
Practices?
Special Issue
We invite you to consider these issues and
submit to the related special issue in JLA!
Journal of Learning Analytics special issue on
Learning Analytics and Learning Theory
Topics include, but are not limited to:
• How understanding of specific learning phenomenon (processes, practices) has helped to shape particular approaches to learning analytics
• How learning analytics have helped to refine / improve our understanding of particular learning phenomenon (processes, practices)
• Work contributing to our understanding of how people engage with learning analytics as part of their learning processes or practices
For more information please see the CFP available at http://learning-analytics.info
This special issue focuses on the intersection of learning theory and analytics. Specifically it will include papers demonstrating the ways in which learning theories are being used to craft analytics, how analytics have helped us advance learning theories, and the initial development of theories of learning with analytics
Guest Editors: Alyssa Friend Wise & David Williamson Shaffer
Question groups
Constraint, co-occurrence, & temporality
https://icls.etherpad.mozilla.org/1
Discuss:
1. the ways in which analytics relate to our
understanding of practice, for example: A. What are the specific challenges for using analytics to
understand practices as opposed to processes?
B. What is the distinction between process and practice?
C. How have the work we’ve seen so far tried to get at
these issues through their theoretical models, working
definitions, tools and analytic approaches they’ve taken
Food Near the Millennium Hotel
(1 block) 28th St. and Arapahoe Ave.,
The Twenty Ninth Street mall anchors the intersection and is ideal for
quick meals at Chipotle or Noodles & Company (both founded in
Boulder), along with Pei Wei, Modmarket, and Smashburger, among
several others.
Additional recommendations within walking distance:
Larkburger ($) – Fresh, fast, delicious burgers paired with truffle & parm
fries.
Rincon del Sol ($) – Simple, affordable Mexican food and powerful
margaritas.
Tibet Kitchen ($) – Authentic momos and noodle dishes affordably
priced.
Il Pastaio ($$) – Voted best Italian in Boulder with delicious homemade
pastas.
Pizzeria Da Lupo ($$) – Boulder’s best pizza, wood fired pies and
amazing salads.
Zolo Grill ($$) – A local favorite for upscale Southwest cuisine and tasty
margs.
Demos
To what extent do the tools ‘get at’ practice? How do they do so? (e.g. how do the day’s themes relate?)
How could you integrate this tool as part of your
teaching / learning practice?
Generality / localization
How does theory conect to learning analytic
tools and methods? How much theory is embedded within the tool?
What’s the perspective of the tool?
Does it matter?
(Some of the) Burning questions
• Is data mining/geology/archeology the right
analogy? What else might we describe?
• Process data and outcome data--how are they
related in the learning analytics world?
• How do we deal with granularity, and
segmentation? How do we ‘theorise' which events
(or features) make up our data for analysis?
• Can we build practice models without a rich
theorized account of the domain?
• Multivocality – What role does it play? (Validation?)
Thanks for coming! Food/drinks (with
moocshop) @ Backcountry Pizza & Tap House
Evaluation: see http://goo.gl/suk0rL