Category: liveblogging

LAK14 Thu am (7): Keynote, MOOCs, at-risk students

Liveblog from the second full day LAK14 – Thursday morning session.

Stephanie welcomes everyone to the second day. Introduces Mike Sharkey, founder of Blue Canary, a sponsor. Former director of academic analytics at the University of Phoenix. At LAK12 he and his partner talked about founding a company, and now has Blue Canary.

Mike was talking to George at another LAK, focus on research and theory side, but what about application and implementation side. Was very focused on implementation side, saw a gap in people that had the ability and resources to implement the exciting ideas. Started software-focused company a year ago, going to institutions and help them help their students out. Happy to be a sponsor here, first major sponsorship from their company.

Here to introduce Nancy Law.

Downtown Indianapolis

Keynote: Nancy Law: Is Learning Analytics a Disruptive Innovation?

Continue reading “LAK14 Thu am (7): Keynote, MOOCs, at-risk students”

LAK14 Weds am (5): Keynote, Conversation, Barriers panel

Liveblog from the first full day LAK14 – Wednesday morning session.

Welcome

Matt Pistilli welcomes everyone. We are international – 25 countries, all 6 inhabited continents. 140 institutions, 237 registrants – largest yet. 13 full papers, 25 short papers, 11 posters and demos, 9 doctoral consortium posters. Thanks to sponsors: blue canary, Purdue, Desire2Learn, Intellify Learning, SoLAR. Supporters: SoLAR, Wisconsin, Gardner Institute, Purdue. Thanks all those who have helped make it happen.

Abelardo Pardo takes over to talk about the submissions. 45 full papers, 35 short.Expanding in posters, demos, doc consortium posters.

Stephanie Teasley takes over. This is our fourth conference. Many – most – of the people in the room are first-time LAK attenders. We’re not from the same tribe, but what we can do together is bigger. Introduces Art Graeser, who is bridging boundaries already.

Keynote: Art Graeser
Scaling Up Learning by Communicating with AutoTutor, Trialogs, and Pedagogical Agents

Scales

Continue reading “LAK14 Weds am (5): Keynote, Conversation, Barriers panel”

LAK14 Monday (1): Workshops

Liveblog from the first day of workshops at LAK14. I’ll be collecting the liveblogging as usual, here.

Computational approaches to connecting levels of analysis in networked learning communities

Ulrich Hoppe (Univ Duisburg-Essen) and Dan Suthers (Univ Hawaii)

Ulrich introduces himself, Dan and the day. Proceedings will be available on http://ceur-ws.org very soon. Best papers from the workshop will be invited to a special issue of IJ Learning Analytics.

Idea of spelling the analysis out through multiple levels – of agency, of aggregation of the learning group. The levels issue has been discussed in many other workshops. Data-intensive methos of analysis. Using it to inform decision-making in learning.

Themes emerging from today’s papers, identified by Ulrich.

  1. Learning analytics and CSCL:- theory-based interpretation of interaction data; from action logs to contingencies and networks.
  2. Learning analytics tools & methods for large online courses (incl MOOCs): measures of participation, contributions; indicators of transactivity, collaboration; transitions between large group and small group activities.
  3. Reification, sharing and re-use of analysis workflows: reproducible data analysis; workbenches for data analysis.
  4. Embedment/integration of analysis methods: data capturing and analysis from ubiquitous learning environments; embedment of analysis components in learning platforms.

… but the levels idea seems more in the background.
Level

Continue reading “LAK14 Monday (1): Workshops”

InFocus: Learner analytics and Big data

Liveblog notes from “InFocus: Learner analytics and Big data“, a one-day conference organised by the Centre for Distance Education, University of London, held in Senate House.


cc licensed ( BY ) flickr photo shared by NASA Goddard Space Flight…

Steven Warburton: Welcome and Introduction

Head of Department for Technology Enhanced Learning, University of Surrey 

Analytics appears three times in the Gartner hype cycle curve.  At the peak, content analytics, very closely related. Big data at the top too. Prescriptive analytics – what is the best course of action. Beyond descriptive, then predictive, to prescriptive. (ouch) Help people make the best decisions.

Predictive analytics story: from Target – How Target figured out a teen girl was pregnant before her father did. Guessed whether pregnant from purchasing patterns, sent targeted flyers to daughter, father angry.

OU Innovating Pedagogy report – learning analytics there. NMC horizon report – learning analytics again there on 2-3 year timetable.

What are the benefits? For learner, tutor, institution.

Erik Duval concern -programming out the human. We should be in control of those algorithms, thinking about human value.

Continue reading “InFocus: Learner analytics and Big data”