Pre-Conference Schedule

Monday 4 March

Monday (Workshop and Tutorials)
08:00 – 09:00 Student Pavilion Lobby Registration & Coffee
09:00 – 10:30 Full Day Sessions
LSA 101 The Fifth LAK Hackathon: Trusted and Inclusive Learning Analytics Across Spaces with New Tools, Standards and Infrastructures Daniele Di Mitri, Adam Cooper, Kirsty Kitto, Gábor Kismihók, Stefan T. Mol, Niall Sclater, Jan Schneider and Alan Berg
Senita C Workshop on Learning Analytic Services to Support Personalized Learning and Assessment at Scale Alina Von Davier, Michael Yudelson, Kenneth Koedinger, Steven Ritter and Peter Brusilovsky
    LSE 204 Connectivism: Using learning analytics to operationalize a research agenda Srecko Joksimovic, George Siemens, Shane Dawson and Vitomir Kovanovic
    LSE B52 International Workshop on Technology-Enhanced and Evidence-Based Education and Learning Rwitajit Majumdar and Hiroaki Ogata
    LSE 244 3rd CrossMMLA: Multimodal Learning Analytics Across Physical and Digital Spaces Daniel Spikol, Daniele Di Mitri, Vanessa Echeverria, Roberto Martinez-Maldonado, Mutlu Cukurova, Luis P. Prieto, María Jesús Rodríguez-Triana, Xavier Ochoa, Marcelo Worsley and Michail Giannakos
    LSA 109 Advances in Writing Analytics: Mapping the state of the field Antonette Shibani, Ming Liu, Christian Rapp and Simon Knight
    Senita B 2nd International Workshop on Learning Analytics in Schools Simon Buckingham Shum, Mutlu Cukurova, Mingyu Feng, Andrew Krumm, Jojo Manai
    LSE B04 AutoTutor Tutorial: Conversational Intelligent Systems and Learning Analytics Bor-Chen Kuo, Chen-Huei Liao, Kai-Chih Pai, Chia-Hua Lin, Xiangen Hu, Zhiqiang Cai and Arthur C. Graesser
    Half Day AM Sessions
    LSA 119 Scalability and Sustainability of Learning Analytics Solutions (SASLAS19) Tom Broos, Dragan Gašević, Abelardo Pardo, Hendrik Drachsler, Rafael Ferreira, Katrien Verbert and Tinne De Laet
    LSE 250 Interdisciplinary Learning Analytics: What to Know, Who to Talk To, and How It’s Done Danielle Hagood and Robert Bodily
    LSE 232 Try R: A Gentle Introduction to Using R for Learning Analytics James Cunningham and William Morgan
    10:30 – 11:00 Senita A Coffee Break
    11:00 – 12:30 Full Day and Half Day Sessions Continue
    12:30 – 13:30 Senita A Lunch
    13:30 – 15:00 Full Day Sessions Continue
    Half Day PM Sessions
    LSE 232 Diving in to Educational Experiments: Process, Evaluation, and Reasoning in Support of Learning (DEEPER Support of Learning) Christopher Brooks, Dan Davis, Nia Dowell, Joshua Gardner, Timothy Necamp, Oleksandra Poquet, Rene Kizilcec and Joseph Williams
    LSE 505 Innovative problem solving assessment with learning analytics Lishan Zhang, Baoping Li, Yigal Rosen, Kristin Stoeffler and Shengquan Yu
    LSE 250 3rd Annual Workshop of the Methodology in Learning Analytics Bloc (LAKMLA19) Yoav Bergner, Geraldine Gray and Charles Lang
    LSA 119 Workshop on Educational Data Visualization Nirmal Patel, Derek Lomas and Collin Sellman
    15:00 – 15:30 Senita A Coffee Break
    15:30 – 17:00 Full Day and Half Day PM Sessions Continue
    Tuesday 5 March

    Tuesday (Workshop and Tutorials)
    08:00 – 09:00 Student Pavilion Lobby Registration & Coffee
    09:00 – 10:30 Full Day Sessions
    LSA 101 The Fifth LAK Hackathon: Trusted and Inclusive Learning Analytics Across Spaces with New Tools, Standards and Infrastructures Daniele Di Mitri, Adam Cooper, Kirsty Kitto, Gábor Kismihók, Stefan T. Mol, Niall Sclater, Jan Schneider and Alan Berg
    Memorial Union – Pinal Learning analytics in support of convergence

    George Siemens, Katy Borner, Ryan Baker, Kylie Peppler, Michael Richey and Shane Dawson
      Memorial Union – Gila VISLA: Visual Approaches to Learning Analytics Katrien Verbert, Robin De Croon, Tinne De Laet, Tom Broos, Xavier Ochoa, Robert Bodily, Judy Kay, Hendrik Drachsler and Cristina Conati
      LSA 109 Predicting Performance Based on the Analysis of Reading Behavior: A Data Challenge Brendan Flanagan, Atsushi Shimada, Stephen Yang, Bae-Ling Chen, Yang-Chia Shih and Hiroaki Ogata
      Memorial Union – Apache 2nd Educational Data Mining in Computer Science Education (CSEDM) Workshop David Azcona, Yancy Vance Paredes, Sharon Hsiao and Thomas Price
      Memorial Union – Graham LAK19 Doctoral Consortium (Invitation Only)
      Memorial Union – Coconino Python Bootcamp for Learning Analytics Practitioners Alfred Essa, Shirin Mojarad and Neil Zimmerman
      Half Day AM Sessions
      Memorial Union – Yuma Fairness and Equity in Learning Analytics Systems (FairLAK) Kenneth Holstein and Shayan Doroudi
      LSE B52 Workshop on Social-Emotional Learning (SEL): Assessment toward Diversity and Inclusion Elle Yuan Wang, Maria Ofelia San Pedro, Srecko Joksimovic and Jason Way
      LSE B04 Analyzing learners’ online behaviour for student success and course enhancement: Case-studies from Blackboard Christine Armatas, Ada Tse and Chun Sang Chan
      LSE 204 Analytics as a Team Sport: Using Cloud-Based Tools to Support Data-Intensive Research-Practice Partnerships Andrew Krumm, Jeremy Roschelle and Particia Schank
      LSA 119 DesignLAK19: Ensuring validity in assessment design and analytics Nancy Law, Linda Corrin, Sandra Milligan and Ulla Ringtved
      LSE 232 Building the Learning Analytics Curriculum for 2020 and Beyond Charles Lang, Stephanie Teasley and John Stamper
      LSE 244 Supporting Feedback Processes at Scale with OnTask. A Hands-on Tutorial Abelardo Pardo, Shane Dawson, Dragan Gasevic and George Siemens
      10:30 – 11:00 Senita A Coffee Break
      11:00 – 12:30 Full Day and Half Day Sessions Continue
      12:30 – 13:30 Senita A Lunch
      13:30 – 15:00 Full Day Sessions Continue
      Half Day PM Sessions
      LSE 204 Sharing and Reusing Data and Analytic Methods with LearnSphere Kenneth Koedinger, John Stamper and Paulo Carvalho
      LSE 232 Developing A Learning Analytics Community for Ethical Discourse James Folkestad, George Rehrey, Linda Shepard, Dennis Groth and Matthew Hickey
      LSA 119 2nd Personalising feedback at scale Workshop: Focusing on Approaches and Students Lorenzo Vigentini, Danny Y.T. Liu and Lisa Lim
      LSE 244 Exploiting data intelligence in education from three levels: Practice, challenges and expectations Gu Xiaoqing
      Memorial Union – Yuma How to Generate Actionable Predictions on Student Engagement: Hands-on Tutorial with Python Scikit-Learn Erkan Er
      15:00 – 15:30 Senita A Coffee Break
      15:30 – 17:00 Full Day and Half Day PM Sessions Continue

      Important Dates

      All deadlines are 23:59 GMT-11

      Submission deadline for main track categories (Research, Practitioners, Workshops, Tutorials and Doctoral Consortium) 1 October 2018
      Notification of acceptance for Workshops and Tutorials 15 October 2018
      Accepted Workshop Open for Submission 29 October 2018
      Notification of acceptance for Research, Practitioners, Doctoral Consortium 19 November 2018
      Submission deadline for Posters/Demos and Workshop Papers 3 December 2018
      Camera-ready papers for ACM Proceedings: Full Research Papers and Short Research Papers 17 December 2018
      Notification of Acceptance for Posters/Demos and Workshop Papers 4 January 2019
      Early-bird registration closes 8 January 2019
      Camera-ready papers for Companion Proceedings 4 February 2019
      LAK19, Tempe, Arizona 4-8 March 2019