SASLAS19: Scalability and Sustainability of Learning Analytics Solutions Arizona State University Tempe, AR, United States, March 4-8, 2019 |
Conference website | http://saslas.org |
Submission link | https://easychair.org/conferences/?conf=saslas19 |
Submission deadline | December 3, 2018 |
Scope
Research about Learning Analytics has increasingly gained attention, as demonstrated by the geographic and substantive scope of the International Learning Analytics and Knowledge (LAK) Conference. However, as the domain of LA is maturing, the connection of research to long-term applicability is relatively underdeveloped. This may hinder further investment of policy makers and administrators.
While Learning Analytics (LA) is still a relatively young discipline, it is quickly expanding, both in substantive scope and geographic interest. At each edition of the LAK conference, several promising results are being shared. However, in many cases LA tools demonstrate difficulties in making the transition from research artefacts into scalable solutions in real-life educational contexts. Research papers generally do not address the issues of scalability and sustainability of proposed solutions extensively, if at all, leaving practitioners with unclear guidelines to apply them in non-experimental settings.
SASLAS19 (Scalability and Sustainability of Learning Analytics Solutions) will be organized as part of LAK19 on 4 March in Tempe, Arizona (US). The goal of our half-day workshop is to explore and discuss the scalability and sustainability of existing and proposed solutions, and to initiate the creation of a framework of strategies available to researchers and practitioners.
Important dates
- December 3, 2018: Paper submission deadline
- January 4, 2018: Notification of acceptance
- January 8, 2018: Last day for early-bird registration
- January 25, 2019: Submission of camera-ready version
- March 4, 2019: Workshop in Tempe, Arizona
Submissions
Authors are invited to submit original unpublished work addressing one or more of the following topics.
- Generalizability: not uncommonly, LA research takes place in favorable settings, e.g. involving a researcher-teacher with detailed knowledge of the specific course, or other highly motivated stakeholders. We invite researchers to address this issue when presenting their own work, or to start from existing work to explore its reproducibility in challenging contexts.
- Return on investment: as LA projects are likely to end up competing for resources with other proposals, LA researchers need to include return-on-investment (ROI) in their reasoning. LA solutions that require only limited effort can be attractive, even if the expected impact is relatively low or even uncertain and vice versa. We welcome work that includes the concept of ROI in the description of LA solutions.
- Change management: chances of sustainable and scalable implementations are limited without acceptance of learners, teachers and other stakeholders. Many lessons learned in general change management should not be ignored by the LA community. Authors are invited to describe how change management relates to their LA solutions.
- Trust: even the best models and feedback tools are of little use if they are not acted upon due to a lack of trust. We welcome submissions that explores approaches of transparency and trust-building to LA.
Contributions of researchers, as well as practitioners, are welcomed. Submissions should have 3 pages at least and 12 at most and follow the Companion Proceedings, using the Companion Proceedings Template. Authors are strongly recommended to add an interactive demo or mockup of solutions where applicable.
Papers will be published in the Companion Proceedings of the LAK 2019 conference.
Organizers
- Tom Broos, Katrien Verbert and Tinne De Laet, KU Leuven, Belgium
- Dragan Gašević, Monash University, Australia
- Abelardo Pardo, University of South Australia, Australia
- Hendrik Drachsler Goethe University Frankfurt am Main and DIPF, Germany
- Rafael Ferreira, Universidade Federal Rural de Pernambuco, Brazil