Program Wednesday

Track 1:

AP 00.15 AUD. M. WEBER

Track 2:

AP 01.30 AUD. J. MONNET

9:00-10:15 Keynote: Marsha Lovett
10:15-10:40 break
10:40-11:30 Session with Marsha Lovett Visualization to support
awareness and reflection
Addressing learner issues with StepUp!: an Evaluation. Jose Luis Santos, Katrien Verbert, Sten Govaerts, Erik Duval (Full)
Live Interest Meter – Learning from Quantified Feedback in Mass Lectures. Verónica Rivera-Pelayo, Johannes Munk, Valentin Zacharias, Simone Braun  (Short)
11:30-12:00 break
12:00-13:00 Sequence analytics  Design briefings
Interpreting Data Mining Results with Linked Data for Learning Analytics: Motivation, Case Study and Directions. Mathieu D’Aquin, Nicolas Jay (Full) GradeCraft: What Can We Learn From a Game-Inspired Learning Management System? Caitlin Holman, Stephen Aguilar, Barry Fishman  (Short)
Nanogenetic Learning Analytics: Illuminating Student Learning Pathways in an Online Fraction Game. Taylor Martin, Ani Aghababyan, Jay Pfaffman, Stephanie Baker, Carmen Petrick Smith, Rachel Phillips, Phillip Janisiewicz (Short) System for Assessing Classroom Attention. Mirko Raca, Pierre Dillenbourg  (Short)
SAIL Smart Space: Real-time orchestration of complex inquiry designs. Jim Slotta, Mike Tissenbaum, Michelle Lui  (Short)
13:00-13:45 lunch
13:45-15:15 Multi-discplinarity of LAK  Supporting teachers
Multidisciplinarity vs. Multivocality, the case of “Learning Analytics”. Nicolas Balacheff, Kristine Lund (Full, Best Paper Nomination)
STEMscopes: Contextualizing Learning Analytics in a K-12 Science Curriculum. Carlos Monroy, Virginia Snodgrass Rangel, Reid Whitaker  (Full)
Panel: Educational Data Scientists – A Scarce Breed. Simon Buckingham Shum, Ryan S.J.D. Baker, John Behrens, Martin Hawksey, Naomi Jeffery, Roy Pea Supporting Action Research with Learning Analytics. Anna Lea Dyckhoff, Vlatko Lukarov, Arham Muslim, Mohamed Amine Chatti, Ulrik Schroeder (Full)
A case study inside Virtual
Worlds: use of analytics for immersive spaces. Vanessa Camilleri, Sara de Freitas, Matthew Montebello, Paul McDonagh-Smith  (Short)
15:15-15:45 break
15:45-17:00 Predictive analytics  MOOCs 
What Can We Learn from Facebook Activity? Using Social Learning Analytics to Observe New Media Literacy
Skills. June Ahn (Full)
Deconstructing Disengagement: Analyzing Learner Subpopulations in Massive Open Online Courses. Rene Kizilcec, Chris Piech, Emily Schneider (Full)
Improving retention: predicting at-risk students by analysing clicking behaviour in a virtual learning
environment. Annika Wolff, Zdenek Zdrahal, Andriy Nikolov, Michal Pantucek (Short)
The Pairing of Lecture Recording Data with Assessment Scores: A Method of Discovering Pedagogical Impact. Negin Mirriahi, Shane Dawson (Short)
Open Academic Analytics
Initiative: Initial Research Findings. Eitel Lauria, Erik Moody, Sandeep Jayaprakash, Nagamani Jonnalagadda, Joshua Baron (Short)
MOOCs and the Funnel of Participation. Doug Clow  (Short)
17:00-18:30 Poster session and demos

2 thoughts on “Program Wednesday

  1. Pingback: Program Ready! | LAK 2013

  2. Pingback: LAK13 Panel — Educational Data Scientists: A Scarce Breed

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