Cross-LAK 2016: International Workshop on Learning Analytics Across Physical and Digital Spaces *Call for Papers*
In conjunction with LAK 2016 at the University of Edinburgh | April 25-29, 2016 http://lak16.solaresearch.org/
Submission Deadline: January 24, 2016 (5pm PDT) –> Extended January 31st, 2016
Notification to Authors: February 19, 2016
Camera-Ready Papers: April 3, 2016 (5pm PDT)
Workshop: April 25-29, 2016 (TBC)
The exploration of how students interact with digital resources in physical spaces in the context of blended learning scenarios is gaining relevance within the Learning Analytics community. The challenge is to find the best approaches that can be applied to automatically capture traces of students’ activity, and understand how learning analytics techniques can be used in heterogeneous contexts. This workshop aims to articulate the community of researchers, interested in analytics for ubiquitous, mobile and/or face-to-face learning. The workshop will provide a platform to review and discuss challenges and opportunities for integrating and coordinating analytic techniques to support learning across digital and physical spaces. The goals of the workshop are to share approaches and identify a set of guidelines to design and connect Learning Analytics solutions according to the pedagogical needs and contextual constraints of practitioners.
The workshop will focus on (but is not limited to) the following four themes:
>>> 1- Learning analytics across digital spaces.
Examples of application of learning analytics in educational settings where multiple digital technologies (digital spaces, learning environments, tools such as e-books, learning management systems, e-portfolio systems, social network platforms, intelligent tutoring systems, etc), connected or disconnected, are used to facilitate different learning activities.
>>> 2- Learning analytics bridging physical and digital spaces.
Examples of application of learning analytics in educational settings with an significant face-to-face component (e.g. in the classroom, computer lab, collocated experimental settings, etc), a blend of collocated face-to-face and remote learning activities, or experimental approaches to gather collaborative student’s data while interacting with various systems.
>>> 3- Mobile and ubiquitous learning analytics.
Examples of application of learning analytics in ubiquitous educational settings with an important component of student’s mobility and where the learning activity spans across various physical and digital spaces.
>>> 4- Data integration of heterogeneous learning data sources.
Examples of learning analytics (conceptual and/or technological) solutions to collect, gather and synchronise student’s activity data coming from varied heterogeneous data sources.
We welcome papers under two categories:
>>>Short papers (4 pages). Short papers consist of authors describing their research in the area of learning analytics across physical and digital spaces, aligned to at least one of the four themes of the workshop. Authors of successful submissions will give a brief firehose presentation and present a poster at the poster session during the workshop.
>>>Panel papers (2-4 pages). Panel papers explain a unique perspective on the field that the author would like to contribute, aligned to one or all the themes of the workshop. Authors of successful submissions will participate in one of panels held during the workshop.
Participation Requirements: All workshop participants are encouraged to submit at least one paper under any of these two categories. There is no restriction on the number of papers submitted by the same author. The submission of a paper is not compulsory.
Contributions must be submitted through the EasyChair submission system. All submissions should be formatted as per the ACM formatting guidelines. Please use the formatting instructions and a link to the templates provided in the workshop website.
Roberto Martinez-Maldonado (University of Technology Sydney, Australia)
Davinia Hernandez-Leo (Universitat Pompeu Fabra, Spain)
Abelardo Pardo (The University of Sydney, Australia)
Dan Suthers (University of Hawaii, USA)
Kirsty Kitto (Queensland University of Technology, Australia)
Sven Charleer (KU Leuven, Belgium)
Naif Aljohani (King Abdulaziz University, Saudi Arabia)
Hiroaki Ogata (Kyushu University, Japan)