2nd Crossmmla: Multimodal learning analytics across physical and digital spaces
Research output: Contribution to journal › Conference article › Research › peer-review
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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.
In: CEUR Workshop Proceedings, Vol. 2163, 2018.Research output: Contribution to journal › Conference article › Research › peer-review
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TY - GEN
T1 - 2nd Crossmmla
T2 - 2nd Multimodal Learning Analytics Across (Physical and Digital) Spaces, CrossMMLA 2018
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
PY - 2018
Y1 - 2018
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
UR - http://www.scopus.com/inward/record.url?scp=85051940030&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85051940030
VL - 2163
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
SN - 1613-0073
Y2 - 6 March 2018
ER -
ID: 256268004