2nd Crossmmla: Multimodal learning analytics across physical and digital spaces

Roberto Martinez-Maldonado, Vanessa Echeverria, Luis P. Prieto, Maria Jesus Rodriguez-Triana, Daniel Spikol, Mutlu Curukova, Manolis Mavrikis, Xavier Ochoa, Marcelo Aaron Bonilla Worsley

Research output: Contribution to journalConference article

Abstract

Students’ learning is ubiquitous. It happens wherever the learner is rather than being constrained to a specific physical or digital learning space (e.g. the classroom or the institutional LMS respectively). A critical question is: how to integrate and coordinate learning analytics to provide continued support to learning across physical and digital spaces? CrossMMLA is the successor to the Learning Analytics Across Spaces (CrossLAK) and MultiModal Learning Analytics (MMLA) series of workshops that were merged in 2017 after successful cross-pollination between the two communities. Although it may be said that CrossLAK and MMLA perspectives follow different philosophical and practical approaches, they both share a common aim. This aim is: deploying learning analytics innovations that can be used across diverse authentic learning environments whilst learners feature various modalities of interaction or behaviour.

Original languageEnglish (US)
JournalCEUR Workshop Proceedings
Volume2163
StatePublished - Jan 1 2018
Event2nd Multimodal Learning Analytics Across (Physical and Digital) Spaces, CrossMMLA 2018 - Sydney, Australia
Duration: Mar 6 2018 → …

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Innovation
Students

Keywords

  • Integration
  • Learning analytics
  • Multimodal
  • Seamless learning

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Martinez-Maldonado, R., Echeverria, V., Prieto, L. P., Rodriguez-Triana, M. J., Spikol, D., Curukova, M., ... Worsley, M. A. B. (2018). 2nd Crossmmla: Multimodal learning analytics across physical and digital spaces. CEUR Workshop Proceedings, 2163.
Martinez-Maldonado, Roberto ; Echeverria, Vanessa ; Prieto, Luis P. ; Rodriguez-Triana, Maria Jesus ; Spikol, Daniel ; Curukova, Mutlu ; Mavrikis, Manolis ; Ochoa, Xavier ; Worsley, Marcelo Aaron Bonilla. / 2nd Crossmmla : Multimodal learning analytics across physical and digital spaces. In: CEUR Workshop Proceedings. 2018 ; Vol. 2163.
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Martinez-Maldonado, R, Echeverria, V, Prieto, LP, Rodriguez-Triana, MJ, Spikol, D, Curukova, M, Mavrikis, M, Ochoa, X & Worsley, MAB 2018, '2nd Crossmmla: Multimodal learning analytics across physical and digital spaces' CEUR Workshop Proceedings, vol. 2163.

2nd Crossmmla : Multimodal learning analytics across physical and digital spaces. / Martinez-Maldonado, Roberto; Echeverria, Vanessa; Prieto, Luis P.; Rodriguez-Triana, Maria Jesus; Spikol, Daniel; Curukova, Mutlu; Mavrikis, Manolis; Ochoa, Xavier; Worsley, Marcelo Aaron Bonilla.

In: CEUR Workshop Proceedings, Vol. 2163, 01.01.2018.

Research output: Contribution to journalConference article

TY - JOUR

T1 - 2nd Crossmmla

T2 - Multimodal learning analytics across physical and digital spaces

AU - Martinez-Maldonado, Roberto

AU - Echeverria, Vanessa

AU - Prieto, Luis P.

AU - Rodriguez-Triana, Maria Jesus

AU - Spikol, Daniel

AU - Curukova, Mutlu

AU - Mavrikis, Manolis

AU - Ochoa, Xavier

AU - Worsley, Marcelo Aaron Bonilla

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Students’ learning is ubiquitous. It happens wherever the learner is rather than being constrained to a specific physical or digital learning space (e.g. the classroom or the institutional LMS respectively). A critical question is: how to integrate and coordinate learning analytics to provide continued support to learning across physical and digital spaces? CrossMMLA is the successor to the Learning Analytics Across Spaces (CrossLAK) and MultiModal Learning Analytics (MMLA) series of workshops that were merged in 2017 after successful cross-pollination between the two communities. Although it may be said that CrossLAK and MMLA perspectives follow different philosophical and practical approaches, they both share a common aim. This aim is: deploying learning analytics innovations that can be used across diverse authentic learning environments whilst learners feature various modalities of interaction or behaviour.

AB - Students’ learning is ubiquitous. It happens wherever the learner is rather than being constrained to a specific physical or digital learning space (e.g. the classroom or the institutional LMS respectively). A critical question is: how to integrate and coordinate learning analytics to provide continued support to learning across physical and digital spaces? CrossMMLA is the successor to the Learning Analytics Across Spaces (CrossLAK) and MultiModal Learning Analytics (MMLA) series of workshops that were merged in 2017 after successful cross-pollination between the two communities. Although it may be said that CrossLAK and MMLA perspectives follow different philosophical and practical approaches, they both share a common aim. This aim is: deploying learning analytics innovations that can be used across diverse authentic learning environments whilst learners feature various modalities of interaction or behaviour.

KW - Integration

KW - Learning analytics

KW - Multimodal

KW - Seamless learning

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Martinez-Maldonado R, Echeverria V, Prieto LP, Rodriguez-Triana MJ, Spikol D, Curukova M et al. 2nd Crossmmla: Multimodal learning analytics across physical and digital spaces. CEUR Workshop Proceedings. 2018 Jan 1;2163.