| Vol-2163 urn:nbn:de:0074-2163-7 Copyright © 2018 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# CrossMMLA 2018
Multimodal Learning Analytics Across (Physical and Digital) Spaces

### Proceedings of the Second Multimodal Learning Analytics Across (Physical and Digital) Spaces
co-located with the 8th International Learning Analytics and Knowledge Conference (LAK 2018)

### Sydney, Australia, March 06, 2018.

Edited by

### Roberto Martinez-Maldonado a
Vanessa Echeverria a,f
Luis P. Prieto b
Maria Jesus Rodriguez-Triana b,c
Daniel Spikol d
Mutlu Curukova e
Manolis Mavrikis e
Xavier Ochoa f
Marcelo Worsley g

a University of Technology Sydney, Connected Intelligence Centre, Sydney, Australia
b School of Educational Sciences, Tallin University, Estonia
c École Polytechnique Fédérale de Lausanne, Switzerland
d Malmö University, Sweden
e UCL Knowledge Lab, United Kingdom
f Escuela Superior Politécnica del Litoral, Ecuador
g Northwestern University, United States

## Table of Contents

- Preface

### Papers

- Learning False Friends across Contexts
  Victoria Abou-Khalil, Brendan Flanagan, Hiroaki Ogata
- Combining Multimodal Learning Analytics with Backward Design to Assess Learning
  Melanie E. Peffer,
- On the Prediction of Students’ Quiz Score by Recurrent Neural Network
  Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada, Yuta Taniguchi, Shin´ichi Konomi
- Multimodal Transcript of Face-to-Face Group-Work Activity Around Interactive Tabletops
  Xavier Ochoa, Katherine Chiluiza, Roger Granda, Gabriel Falcones, Jaime Castells, Bruno Guáman
- Multimodal Learning Analytics’ Past, Present, and Potential Futures
  Marcelo Worsley
- The Big Five: Addressing Recurrent Multimodal Learning Data Challenges
  Daniele Di Mitri, Jan Schneider, Marcus Specht, Hendrik Drachsler

We offer a BibTeX file for citing papers of this workshop from LaTeX.

2018-08-14: submitted by Vanessa Echeverria, metadata incl. bibliographic data published under Creative Commons CC0
2018-08-14: published on CEUR-WS.org |valid HTML5|