| Vol-1828 urn:nbn:de:0074-1828-1 Copyright © 2017 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# MMLA-CrossLAK 2017
MMLA and Cross-LAK Workshops 2017

### Joint Proceedings of the Sixth Multimodal Learning Analytics (MMLA) Workshop and the Second Cross-LAK Workshop
co-located with 7th International Learning Analytics and Knowledge Conference (LAK 2017)

### Vancouver, Canada, March 14, 2017.

Edited by

### Luis P. Prieto, Tallinn University, Estonia
Roberto Martinez-Maldonado, University of Technology Sydney, Australia
Daniel Spikol, Malmö University, Sweden
Davinia Hernández-Leo, Universitat Pompeu Fabra, Spain
María Jesús Rodríguez-Triana, Tallinn University, Estonia
Xavier Ochoa, Escuela Superior Politécnica del Litoral, Ecuador

## Table of Contents

- Editorial: Joint Proceedings of the Sixth Multimodal Learning Analytics (MMLA) Workshop and the Second Cross-LAK Workshop 1-3
  Luis P. Prieto, Roberto Martinez-Maldonado, Daniel Spikol, Davinia Hernández-Leo, María Jesús Rodríguez-Triana, Xavier Ochoa

### Session 1: 2nd Cross-LAK Workshop

- Towards Measurement of the Relationship between Student Engagement and Learning Outcomes at a Bricks-and-Mortar University 4-14
  Carmel Kent, Chris A. Boulton, Hywel Williams
- Finding Traces of High and Low Achievers by Analyzing Undergraduates' E-book Logs 15-22
  Misato Oi, Masanori Yamada, Fumiya Okubo, Atsushi Shimada, Hiroaki Ogata
- A Subjective Evaluation of Web-based Programming Grading Assistant: Harnessing Digital Footprints from Paper-based Assessments 23-30
  Yancy Vance Paredes, Po-Kai Huang, Hannah Murphy, I-Han Hsiao
- Towards Data Informed Group Formation Support Across Learning Spaces 31-38
  Ishari Amarasinghe, Davinia Hernández-Leo, Anders Jonsson
- How to Capitalise on Mobility, Proximity and Motion Analytics to Support Formal and Informal Education? 39-46
  Roberto Martinez-Maldonado, Augusto Dias Pereira Dos Santos, Vanessa Echeverria, Kalina Yacef, Mykola Pechenizkiy

### Session 2: 6th Multimodal Learning Analytics (MMLA) Workshop

- Multimodal Data Collection and Analysis of Collaborative Learning through an Intelligent Tutoring System 47-52
  Ran Liu, John Stamper
- Smart School Multimodal Dataset and Challenges 53-59
  Luis P. Prieto, María Jesús Rodríguez-Triana, Marge Kusmin, Mart Laanpere
- Toward Multimodal Analytics in Ubiquitous Learning Environments 60-67
  Juan A. Muñoz-Cristóbal, María Jesús Rodríguez-Triana, Miguel L. Bote-Lorenzo, Sara L. Villagrá-Sobrino, Juan I. Asensio-Pérez, Alejandra Martínez-Monés
- The Multimodal Study of Blended Learning Using Mixed Sources: Dataset and Challenges of the SpeakUp Case 68-73
  María Jesús Rodríguez-Triana, Luis P. Prieto, Adrian Holzer, Denis Gillet
- How to Aggregate Lesson Observation Data into Learning Analytics Datasets? 74-81
  Maka Eradze, María Jesús Rodríguez-Triana, Mart Laanpere
- Using Structural Domain and Learner Models to Link Multiple Data Sources for Learning Analytics 82-88
  Michael Kickmeier-Rust, Dietrich Albert
- Using One-Shot Machine Learning to Implement Real-Time Multimodal Learning Analytics 89-93
  Michael Junokas, Greg Kohlburn, Sahil Kumar, Benjamin Lane, Wait-Tat Fu, Robb Lindgren
- Multimodal Collaborative Workgroup Dataset and Challenges 94-98
  Vanessa Echeverria, Gabriel Falcones, Jaime Castells, Roger Granda, Katherine Chiluiza
- A Methodological Framework for the Exploratory Analysis of Multimodal Features in Learning Activities 99-103
  Alejandro Andrade, Marcelo Worsley
- The Engineering Design with Everyday Materials Multi-modal Dataset 104-110
  Marcelo Worsley
- Challenges to Multimodal Data Set Collection in Games-based Learning Environments 111-117
  Aybuke Turker, Jennifer Dalsen, Matthew Berland, Constance Steinkuehler

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

2017-05-03: submitted by Luis P. Prieto, metadata incl. bibliographic data published under Creative Commons CC0
2017-05-03: published on CEUR-WS.org |valid HTML5|