MMLA-CrossLAK 2017
MMLA and Cross-LAK Workshops 2017

Table of Contents

• Editorial: Joint Proceedings of the Sixth Multimodal Learning Analytics (MMLA) Workshop and the Second Cross-LAK Workshop1-3
  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 University4-14
  Carmel Kent, Chris A. Boulton, Hywel Williams
  
• Finding Traces of High and Low Achievers by Analyzing Undergraduates' E-book Logs15-22
  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 Assessments23-30
  Yancy Vance Paredes, Po-Kai Huang, Hannah Murphy, I-Han Hsiao
  
• Towards Data Informed Group Formation Support Across Learning Spaces31-38
  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 Challenges53-59
  Luis P. Prieto, María Jesús Rodríguez-Triana, Marge Kusmin, Mart Laanpere
  
• Toward Multimodal Analytics in Ubiquitous Learning Environments60-67
  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 Case68-73
  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 Analytics82-88
  Michael Kickmeier-Rust, Dietrich Albert
  
• Using One-Shot Machine Learning to Implement Real-Time Multimodal Learning Analytics89-93
  Michael Junokas, Greg Kohlburn, Sahil Kumar, Benjamin Lane, Wait-Tat Fu, Robb Lindgren
  
• Multimodal Collaborative Workgroup Dataset and Challenges94-98
  Vanessa Echeverria, Gabriel Falcones, Jaime Castells, Roger Granda, Katherine Chiluiza
  
• A Methodological Framework for the Exploratory Analysis of Multimodal Features in Learning Activities99-103
  Alejandro Andrade, Marcelo Worsley
  
• The Engineering Design with Everyday Materials Multi-modal Dataset104-110
  Marcelo Worsley
  
• Challenges to Multimodal Data Set Collection in Games-based Learning Environments111-117
  Aybuke Turker, Jennifer Dalsen, Matthew Berland, Constance Steinkuehler