Physical and Digital 2018 - International Workshop on Multimodal Learning Analytics Across (Physical and Digital) spaces
Topics/Call fo Papers
International Workshop on Multimodal Learning Analytics Across (Physical and Digital) spaces at LAK’ 18
In conjunction with LAK 2018 at The University of Sydney, Australia
March 5, 2018 https://latte-analytics.sydney.edu.au/index.php/pr...
===
http://crossmmla.org
As part of LAK 2018, the Eighth International Learning Analytics and Knowledge Conference, we are thrilled to announce the second Multimodal Learning Analytics Across (Physical and Digital) Spaces (CrossMMLA) workshop. Student’s learning happens where the learner is rather than being constrained to a single physical or digital environment. Educational research has revealed the pedagogical benefits of letting students experience different types of content, ”real world” challenges, and physical and social interactions with educators or other learners. In this way students commonly work outside the boundaries of the institutional learning system(s). This inherently blended nature of learning settings makes it essential to move beyond learning analytics that rely solely on a single data source (e.g. log files).
This full-day workshop will encourage participants to think about this educational need in our increasingly complex everyday world and to consider both the growing interest in real-world learning analytics.
The workshop will focus on the following four sub-themes:
- Learning analytics across digital and physical spaces
- Integration of multiple data sources
- Engaging and communicating meaning to learners and teachers from learning analytics
- Challenges for multimodal learning analytics across diverse spaces
Participants are encouraged to submit at least one paper under the following categories:
1 Short papers (4-6 pages) about research in the area of learning analytics across physical and digital spaces.
2 Position papers (2-5 pages) explaining unique perspective on the field that the author would like to contribute.
Submissions should follow the LAK Companion Proceedings template. All workshop submissions should be done through easychair. All submissions will be peer-reviewed. Accepted submissions will be published on CEUR-WS (http://ceur- ws.org/) and electronically through the LAK18 Companion Proceedings.
* Important Dates *
===
- Abstracts (optional): December 11th 2017
- Submission Deadline: December 18th 2017
- Notification of Acceptance: January 15th 2018
- Confirmation of Attendance (early-bird registration deadline): January 22nd 2018
- Deadline for Camera Ready Version: January 29th 2018
- Workshop: Wednesday, March 6th, 2018
* Organising Committee *
===
Roberto Martinez-Maldonado, University of Technology Sydney, Australia
Luis P. Prieto, Tallinn University, Estonia
María Jesús Rodríguez-Triana, Ecole Polytechnique Fédérale de Lausanne, Switzerland / Tallinn University, Estonia
Vanessa Echeverria, University of Technology Sydney, Australia
Emanuele Ruffaldi, Scuola Superiore Sant’Anna, Italy
Daniel Spikol, Malm ̈o University, Sweden
Mutlu Cukurova, UCL Knowledge Lab, United Kingdom
Manolis Mavrikis, UCL Knowledge Lab, United Kingdom
Xavier Ochoa, Escuela Superior Politécnica del Litoral, Ecuador
Marcelo Worsley, Northwestern, USA
For further information and updates, please visit our site http://crossmmla.org/ or mail us: crossmmla-AT-gmail.com
In conjunction with LAK 2018 at The University of Sydney, Australia
March 5, 2018 https://latte-analytics.sydney.edu.au/index.php/pr...
===
http://crossmmla.org
As part of LAK 2018, the Eighth International Learning Analytics and Knowledge Conference, we are thrilled to announce the second Multimodal Learning Analytics Across (Physical and Digital) Spaces (CrossMMLA) workshop. Student’s learning happens where the learner is rather than being constrained to a single physical or digital environment. Educational research has revealed the pedagogical benefits of letting students experience different types of content, ”real world” challenges, and physical and social interactions with educators or other learners. In this way students commonly work outside the boundaries of the institutional learning system(s). This inherently blended nature of learning settings makes it essential to move beyond learning analytics that rely solely on a single data source (e.g. log files).
This full-day workshop will encourage participants to think about this educational need in our increasingly complex everyday world and to consider both the growing interest in real-world learning analytics.
The workshop will focus on the following four sub-themes:
- Learning analytics across digital and physical spaces
- Integration of multiple data sources
- Engaging and communicating meaning to learners and teachers from learning analytics
- Challenges for multimodal learning analytics across diverse spaces
Participants are encouraged to submit at least one paper under the following categories:
1 Short papers (4-6 pages) about research in the area of learning analytics across physical and digital spaces.
2 Position papers (2-5 pages) explaining unique perspective on the field that the author would like to contribute.
Submissions should follow the LAK Companion Proceedings template. All workshop submissions should be done through easychair. All submissions will be peer-reviewed. Accepted submissions will be published on CEUR-WS (http://ceur- ws.org/) and electronically through the LAK18 Companion Proceedings.
* Important Dates *
===
- Abstracts (optional): December 11th 2017
- Submission Deadline: December 18th 2017
- Notification of Acceptance: January 15th 2018
- Confirmation of Attendance (early-bird registration deadline): January 22nd 2018
- Deadline for Camera Ready Version: January 29th 2018
- Workshop: Wednesday, March 6th, 2018
* Organising Committee *
===
Roberto Martinez-Maldonado, University of Technology Sydney, Australia
Luis P. Prieto, Tallinn University, Estonia
María Jesús Rodríguez-Triana, Ecole Polytechnique Fédérale de Lausanne, Switzerland / Tallinn University, Estonia
Vanessa Echeverria, University of Technology Sydney, Australia
Emanuele Ruffaldi, Scuola Superiore Sant’Anna, Italy
Daniel Spikol, Malm ̈o University, Sweden
Mutlu Cukurova, UCL Knowledge Lab, United Kingdom
Manolis Mavrikis, UCL Knowledge Lab, United Kingdom
Xavier Ochoa, Escuela Superior Politécnica del Litoral, Ecuador
Marcelo Worsley, Northwestern, USA
For further information and updates, please visit our site http://crossmmla.org/ or mail us: crossmmla-AT-gmail.com
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Last modified: 2017-11-23 12:02:30