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.
Martinez-Maldonado, RobertoUniversity of Technology, Sydney, Australia
(redaktör/utgivare)
Echeverria, VanessaUniversity of Technology, Sydney, Australia
(redaktör/utgivare)
Prieto, Luis P.School of Educational Sciences, Tallin University, Estonia
(redaktör/utgivare)
Rodriguez-Triana, Maria JesusÉcole Polytechnique Fédérale de Lausanne & Tallinn University, Estonia
(redaktör/utgivare)
Spikol, Daniel,1965-Malmö universitet,Institutionen för datavetenskap och medieteknik (DVMT),Disciplinary literacy and inclusive teaching(Swepub:mau)tsdasp
(redaktör/utgivare)
Curukova, MutluUCL Knowledge Lab, United Kingdom
(redaktör/utgivare)
Mavrikis, ManolisUCL Knowledge Lab, United Kingdom
(redaktör/utgivare)
Ochoa, XavierEscuela Superior Politécnica del Litoral, ESPOL, Ecuador
(redaktör/utgivare)
Worsley, MarceloNorthwestern University, United States
(redaktör/utgivare)
University of Technology, Sydney, AustraliaSchool of Educational Sciences, Tallin University, Estonia
(creator_code:org_t)