We solicit paper submissions reporting on rigorous research on methodologies, studies, analyses, tools, or technologies for learning at scale. We accept four kinds of papers, detailed below: Full Research Papers, Full Synthesis Papers, Work-in-Progress Posters, and Demonstrations. Accepted papers and posters are presented at the conference, and included in the proceedings.
In addition, accepted authors have the option of presenting supplementary online materials through the OpenEdX platform to aid in their presentation. Accepted authors are encouraged to consider using their allotted symposium time for activities or discussion in addition to delivering presentations or showing posters.
Statement on Open Science
Authors are strongly encouraged to conduct their scientific inquiry using emerging best practices from open science.
- Preregistration. Researchers are encouraged to pre-register their designs, hypotheses, and analysis plans and publish these with the Open Science Foundation or a similar organization (see, for example). When presenting the results from pre-registered studies, authors are encouraged to report pre-registered and exploratory analyses separately (e.g. see Gehlbach et al. (2015) Creating Birds of Similar Feathers). Causal claims from experimental interventions are strongest when researchers constrain their analytic space through pre-planning and pre-registration (see Tukey (1980) We Need Exploratory and Confirmatory Research and Gelman and Loken (2013) The Garden of Forking Paths). Best practices in open science pre-planning and pre-registration are not well-established, but experimentalists in the Learning at Scale community are encouraged to explore and develop these practices.
- Open Data and Replication. As studies are conducted, whenever possible, feasible, and ethical, researchers are encouraged to make their data openly available for inspection, replication, and additional analysis. We encourage replication papers, and reviewers will be instructed to evaluate these papers not on the novelty of the replication, but on the important and influence of the original work being replicated.
Full Research Papers
Full papers must not exceed 10 pages (shorter is fine) and must use the ACM CHI Archive Format, available in latex and Word. Submissions must be in PDF format, written in English, contain original work and not be under review for any other venue while under review for this conference.
In order to increase high quality papers and independent merit, the evaluation process will be double blind. The papers submitted for review MUST NOT contain the authors' names, affiliations, or any information that may disclose the authors' identity (this information is to be restored in the camera-ready version upon acceptance). Please replace author names and affiliations with Xs on submitted papers. In particular, in the version submitted for review please avoid explicit auto-references, such as "in  we show" -- consider "in  it is shown". You should cite your own relevant previous work, so that a reviewer can access it and see the new contributions, but yet the text should be written so that it does not state that the cited work belongs to the authors.
Full Context/Synthesis Papers
One of the purposes of the Learning@Scale conference and community is to create a context for communities of learning scientists and computer scientists to engage in meaningful discourse and start fruitful collaborations. In that spirit we invite papers that evaluate, synthesize, and contextualize existing bodies of knowledge and research targeted at one or both communities. These papers will provide a high value to our community but would otherwise not be accepted because they lack novel research contributions. Suitable papers include survey papers that provide useful perspectives on major research areas, papers that support or challenge long-held beliefs with compelling evidence, or papers that provide an extensive and realistic evaluation of competing approaches to solving specific problems. … [Submissions] will be reviewed by the full PC and held to the same standards as traditional research papers, except instead of emphasizing novel research contributions the emphasis will be on value to the community. Accepted papers will be presented at the symposium and included in the proceedings.
A Work-in-Progress (WiP) is a concise report of recent findings or other types of innovative or thought-provoking work that has not yet reached a level of completion that would warrant submission of a full paper. Topics are the same as those listed for full papers. At the conference, all accepted WiP submissions will be presented in poster form. Selected WiPs may be invited for oral presentation during the conference. Rejected full-papers can be resubmitted as WiP and will be evaluated accordingly.
Formatting: Work-in-Progress submissions 4 pages or fewer and must use the ACM CHI Archive Format, available in latex and Word and submitted as a PDF file. Due to the very rapid selection process we cannot offer any extensions to the deadline. WiP submissions are not anonymous and should therefore include all author names, affiliations and contact information. If accepted, you should expect to prepare a poster to present at the conference venue.
Demonstrations show aspects of learning at scale in an interactive hands-on form. A live demonstration is a great opportunity to communicate ideas and concepts in a powerful way that a regular presentation cannot. We invite demonstrations of learning and analytical environments and other systems that have direct relevance to learning at scale. We especially encourage authors of accepted papers and industrial partners to showcase their technologies using this format. Demonstration submissions are 2 pages or fewer in length and must use the ACM CHI Archive Format, available in latex and Word, and submitted as a PDF file. A demonstration proposal should address two components:
- The merit and nature of the demonstrated technology. If the proposed demonstration is associated with a Full Paper or a WiP submission, please point to the title of the submission instead of repeating the information here.
- Details of how the demo will be executed in practice, and how visitors will interact with it during the conference.
Full papers will appear in the conference proceedings published by the ACM Press in the ACM Digital Library. Work-in-Progress and Demonstration papers will appear in a separate part of the conference proceedings. The status of Work-in-Progress paper will be akin to what CHI describes as "semi-archival", meaning the results reported in the WIP must be original, but copyright is retained by the authors and the material can be used as the basis for future publications in ACM venues as long as there are significant revisions from the original.
Proceedings from prior years can be accessed here:
AUTHORS TAKE NOTE: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.)
Submission for Full Papers is now closed. You can still submit Work in Progress and Proposals for demonstrations at EasyChair.