[AISWorld] Call for Contributions: UMUAI SI on Multimodal Learning Analytics & Personalized Support Across Spaces

[Roberto Martinez]

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UMUAI special issue on



Multimodal Learning Analytics & Personalized Support Across Spaces



http://crosslak.utscic.edu.au/umuai/

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Learning often occurs in spaces and at moments that go beyond those shaped
in formal educational settings. Students’ opportunities for significant
learning are commonly not limited to the moments when they interact with a
specific educational tool. By contrast, learning can be considered as a
complex life-long journey which is socially, epistemically, physically and
digitally situated. Increasing access to emerging communication
technologies and the proliferation of mobile and pervasive devices have
made it possible for students to have access to a wide range of educational
(and non-educational) resources. Moreover, students commonly work outside
the boundaries of the institutional learning system(s). They may interact
face-to-face, use other educational tools or even use resources that were
not specifically designed to serve in learning contexts. Instructors may
also want students to not only use the tools offered by the institution,
but also other tools that are more suitable for the context and the subject
matter.



This proliferation of emerging communication technologies is creating new
possibilities for providing automated, continued feedback and a more
holistic view for supporting learning. Pervasive and mobile technologies
can be used to allow learners to get remote access to educational resources
from different physical spaces (e.g. ubiquitous/mobile learning) or to
enrich their learning experiences in the classroom in ways that were not
previously possible (e.g. face-to-face/blended learning).



There is an increasing interest in providing multimodal, personalized
support or feedback to students across varied physical and digital spaces.
For this SPECIAL ISSUE, we encourage submission of original papers that
demonstrate ways to integrate and coordinate learning analytics and
personalized feedback systems that provide continued support to learning
across digital and/or physical spaces.



TOPICS OF INTEREST
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Contributions can be made on any of the following themes:



●          Providing Personalized Support to Learners Interacting Across
Multiple Digital Spaces: Studies of novel analytics approaches and systems
providing personalized support or feedback across multiple digital learning
tools. This includes data mining, learner modelling and/or visualization
(or Open Learner Modelling) approaches applied to datasets that integrate
logs from multiple learning tools;



●          Providing Personalized Support Bridging the Physical and Digital
Realms: Design and study of learning situations that include
collocated/face-to-face interaction and/or the use of online (remote
access) tools (e.g. including ‘everyday’ settings, collocated collaboration
situations, multi-device ecologies, ubiquitous learning technology or
blended learning cases). This also includes classroom analytics, multimodal
learning analytics (MMLA), and modelling collocated group interactions;



●          Generating Models of Learner’s Interaction Data from
Heterogeneous Sources: Discussion of methodologies and theoretical
approaches, and their technical solutions, to acquire learner models by
integrating activity logs from multiple sources of student’s data. This
includes technical approaches (such as conceptual models, formal
representation of heterogeneous learner models or generic user modelling
systems) but also non-technical issues (such as privacy and security of
information for personalization, cultural adaptation, or data management).



PAPER SUBMISSION AND PUBLICATION
==================================



Prospective authors must submit an extended abstract to the special issue
editors via EasyChair. It must be at most 4 single-spaced pages long, not
counting references, formatted with 12pt font and 1 inch margins. The
special issue editors will screen all submitted abstracts. Abstracts that
do not pass this initial screening (i.e., abstracts deemed not to have a
reasonable chance of acceptance) will not be considered further. Authors of
abstracts that pass the initial screening will be invited to submit a full
version of the manuscript using the formatting guidelines and submission
instructions of the journal, which can be consulted at
http://www.umuai.org/paper_submission.html



IMPORTANT DATES
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(see updates in the special issue website at
http://crosslak.utscic.edu.au/umuai)



●    November 1, 2017: Submission of title and abstract

●    December 1, 2017: Notification of suitability of abstract

●    March 15, 2018: Submission of full papers

●    June 15, 2018: First round of review notifications

●    August 15, 2018: Revisions of papers due

●    November 1, 2018: Final notifications due

●    December 15, 2019: Camera ready papers due

●    February 15, 2019: Publication of special issue



GUEST EDITORS

===============

Roberto Martinez-Maldonado, University of Technology Sydney, Australia

Davinia Hernandez-Leo, Universitat Pompeu Fabra, Spain

Abelardo Pardo, The University of Sydney, Australia


UTS CRICOS Provider Code: 00099F
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