Alaunch scale 2016 full#
Alaunch scale 2016 series#

We are fortunate to have three outstanding keynote speakers. How could it be different, as Learning at Scale is a truly international phenomenon?

Thus, the conference is successfully migrating from the continent of its birth, indicating its international relevance. The overall submission numbers did not differ substantially from those of the previous year. An industry session reflects the importance of for the commercial world and for real world deployment. As such, they fulfill a key role in this fast moving area.

Alaunch scale 2016 full#

Whereas Full Papers present work that is innovative and mature, WiPs and Demos offer a forum for the newest and emerging work at earlier stages, offering pointers to future directions. Final decisions for acceptance of Full Papers were made by the program committee as a whole, often after extensive discussion of the merits of the paper. Full Papers were reviewed by at least three program committee members, Work-In-Progress Papers and Demo Descriptions by two. All papers were reviewed according to stringent criteria. The call for papers attracted submissions from all over the world, covering a broad range of topics from the theoretical to the pragmatic. It is concerned with the challenges and affordances of scale: What are innovative forms of learning and instruction that can be orchestrated with very large numbers of learners? Specific topics include, but are not limited to: Pedagogies that enhance learning as scale personalization and adaptation of learning at scale selfand co-regulation of learning at scale platforms, tools, and architectures for learning at scale usability studies tools for automated feedback and grading learning analytics analysis of log data studies of application of learning theory and finally, investigation of student behavior and correlation with learning outcomes, depth and retention of learning, and motivational and affective outcomes. It covers face-to-face settings as well as settings in which learners work remotely, whether synchronous or asynchronous. 'Learning at Scale' refers to new approaches to teaching and learning that involve large numbers of students, thousands or even tens of thousands. This area of research is interdisciplinary, sitting at the intersection of the learning sciences, education, computer science, educational data mining, and learning analytics. This conference was created by the Association for Computing Machinery (ACM), inspired by the emergence of Massive Open Online Courses (MOOCs) and the accompanying shift in thinking about education.

Alaunch scale 2016 series#

This conference series is a venue for discussion of the highest quality research on how learning and teaching can be transformed when done at scale. It is our great pleasure to present the Proceedings of the Third Annual ACM Conference on Learning at Scale, 2016, held on April 25-26 at the University of Edinburgh, UK, the first time for the conference to be held outside of North America.