Call for papers: The 10th International Conference on Learning Analytics & 
Knowledge (LAK20)
Celebrating 10 years of LAK: Shaping the future of the field
23-27 March 2020, Frankfurt, Germany
https://lak20.solaresearch.org
The 2020 edition of The International Conference on Learning Analytics & 
Knowledge (LAK20) will take place in Frankfurt, Germany. LAK20 is organised by 
the Society for Learning Analytics Research (SoLAR) and hosted by Frankfurt 
Goethe-University in Germany with support from many European partners. LAK20 is 
a collaborative effort by learning analytics researchers and practitioners to 
celebrate and promote the achievements of the learning analytics community over 
the past ten years and to look forward to what lies ahead.
The tenth anniversary of the LAK conference celebrates the past successes of 
the learning analytics community and poses new questions and challenges for the 
field. The theme for this year is “Shaping the future of the field” and focuses 
on thinking how we can advance learning analytics and drive its development 
over the next ten years and beyond.
LAK conference is intended for both researchers and practitioners. We invite 
both researchers and practitioners of learning analytics to come and join a 
proactive dialogue around the future of learning analytics and its practical 
adoption. We further extend our invite to educators, leaders, administrators, 
government and industry professionals interested in the field of learning 
analytics and related disciplines.
Conference theme and topics
We welcome submissions from both research and practice, covering different 
theoretical, methodological, empirical and technical contributions to learning 
analytics field. Specifically, this year, we invite contributors to think about 
the implications and potential impact of the presented work for the next 10 
years. In their contributions, we encourage authors to address some of the 
following questions:

  1.  What are the practical and scholarly implications of the presented work 
for the next ten years?
  2.  What are the challenges of the presented work we need to address to 
improve its impact in the next ten years?
  3.  How can the presented work be practically implemented and adopted?
We also explicitly encourage research that validates, replicates and examines 
the generalisability of previously published findings, as well as the aspects 
of practical adoption of the existing learning analytics methods and 
approaches. Finally, we also invite authors to submit dedicated short research 
paper submissions (see below for details) that explicitly address the theme of 
this year’s conference.
Some of the topics of interest include, (but are not limited) are:
Capturing Learning & Teaching:
●       Finding evidence of learning: Studies that identify and explain useful 
data for analysing, understanding and optimising learning and teaching.
●       Assessing student learning: Studies that assess learning progress 
through the computational analysis of learner actions or artefacts.
●       Analytical and methodological approaches: Studies that introduce 
analytical techniques, methods, and tools for capturing and modelling student 
learning.
●       Technological infrastructures for data storage and sharing: Proposals 
of technical and methodological procedures to store, share and preserve 
learning and teaching traces.
Understanding Learning & Teaching:
●       Data-informed learning theories: Proposals of new learning/teaching 
theories or revisions/reinterpretations of existing theories based on 
large-scale data analysis.
●       Insights into specific learning processes: Studies to understand 
particular aspects of a learning/teaching process through the use of data 
science techniques.
●       Learning and teaching modelling: Creating mathematical, statistical or 
computational models of a learning/teaching process, including its actors and 
context.
●       Systematic reviews: Studies that provide a systematic and 
methodological synthesis of the available evidence in an area of learning 
analytics.
Impacting Learning & Teaching:
●       Providing decision support and feedback: Studies that evaluate the 
impact of feedback or decision-support systems based on learning analytics 
(e.g., dashboards, early-alert systems, automated messages).
●       Practical evaluations of learning analytics efforts:  Empirical 
evidence about the effectiveness of learning analytics implementations or 
educational initiatives guided by learning analytics.
●       Personalised and adaptive learning: Studies that evaluate the 
effectiveness and impact of adaptive technologies based on learning analytics.
Implementing change in Learning & Teaching:
●       Ethical issues around learning analytics: Analysis of issues and 
approaches to the lawful and ethical capture and use of educational data 
traces; tackling unintended bias and value judgements in the selection of data 
and algorithms; perspectives and methods for value-sensitive, participatory 
design that empowers stakeholders.
●       Learning analytics adoption: Discussions and evaluations of strategies 
to promote and embed learning analytics initiatives in educational institutions 
and learning organisations.
●       Learning analytics strategies for scalability: Discussions and 
evaluations of strategies to scale the capture and analysis of information at 
the program, institution or national level; critical reflections on 
organisational structures that promote analytics innovation and impact in an 
institution.
Conference tracks
The conference has three different tracks with different types of submissions. 
For more information about each track, see the submission guidelines page.
1. Research track
The focus of the research track is on advancing scholarly knowledge in the 
field of learning analytics through rigorous reports of learning analytics 
research studies. The primary audience includes academics, doctoral students, 
postdoctoral researchers and other types of educational research staff working 
in different capacities on learning analytics research projects.
Submission types for the research track are:
●       Full research papers (10 pages, ACM proceedings template) include a 
clearly explained substantial conceptual, technical or empirical contribution. 
The scope of the paper must be placed appropriately with respect to the current 
state of the field, and the contribution should be clearly described. This 
includes the conceptual or theoretical aspects at the foundation of the 
contribution, an explanation of the technical setting (tools used, how are they 
integrated into the contribution), analysis, and results.
●       Short research papers (6 pages, ACM proceedings template) can address 
on-going work, which may include a briefly described theoretical underpinning, 
an initial proposal or rationale for a technical solution, and preliminary 
results, with consideration of stakeholder engagement issues. We also invite 
short papers that explicitly address the theme of this year’s conference by 
reflecting on past, present, and future research foci in the field of learning 
analytics, along with reflections on the role which LAK has played in shaping 
our research agendas.
●       Research posters (3 pages, SoLAR companion proceedings template) 
represent a concise report of recent findings or other types of innovative work 
not ready to be submitted as a full or short research paper. Poster 
presentations are part of the LAK Poster & Demo session, and authors are given 
a physical board to present and discuss their projects with delegates. 
Alternatively, a poster submission may be work that you prefer to present 
interactively.
2. Practitioner track
The practitioner track is complementary to the research track and brings 
real-world experiences of adoption of learning analytics systems in education. 
Learning analytics practitioners include 1) policymakers, project managers, 
instructional technologists, analysts, learning designers and other 
non-research staff, 2) developers, designers, analysts, and other 
representatives from commercial and industrial entities, non-profit 
organisations, and government bodies.
Submissions for the practitioner track have a unique format which emphasises 
practical aspects of project implementations. More details around submission 
formats and preparing your practitioner submission will be available on LAK20 
website. All accepted submissions to the practitioner track will be published 
in the LAK20 Companion Proceedings and archived on the SoLAR website.
Submission types for practitioner track:
●       Practitioner reports  (4 pages, SoLAR companion proceedings template) 
include accounts and findings that stem from practical experience in 
implementing learning analytics projects. Practitioner reports are presented 
alongside research track submissions as part of the main conference. Some of 
the goals of practitioner presentations are to 1) contribute to the 
conversation between researchers and practitioners around adoption and 
implementation of learning analytics, 2) provide insights from practice around 
factors affording or constraining learning analytics adoption and 
implementation, and 3) present effective learning analytics adoption strategies 
and approaches.
●       Practitioner posters (2 pages, SoLAR companion proceedings template) 
represent a concise description of a practical learning analytics project 
implementation which may not be ready to be presented as a practitioner report. 
Posters are presented during the LAK Poster & Demo session, and authors are 
given a physical board to present posters and discuss their projects with 
delegates. This type of submission is also prefered in cases where interactive 
presentation is more suitable for the particular project.
●       Practitioner interactive demos (200 words abstract in SoLAR companion 
proceedings template + 5 min video) provide opportunities to communicate 
interactive learning analytics tools. Interactive demonstrations are part of 
the LAK Poster & Demo session, and presenters are given table space and 
demonstrate their latest learning analytics projects, tools, and systems. Use 
demos to communicate innovative user interface designs, visualisations, or 
other novel functionality that tackles a real user problem. Tools may be at an 
early concept demonstrator stage or relatively mature, all the way through to 
products. While LAK encourages participation from commercial analytics 
partners, interactive demos should be built around actual field experience, 
results, and feedback. Submissions for conceptual products or for products that 
have not been used by instructors and/or students are unlikely to be accepted.
3. Pre-conference event track
The focus of pre-conference events is on providing space for new and emerging 
ideas in learning analytics and their development. Events can have either 
research or practical focus and can be structured in the way which best serves 
their particular purpose.
The types of submissions for the pre-conference event track are:
●       Workshops (4 pages, SoLAR companion proceedings template) provide an 
efficient forum for community building, sharing of perspectives, and idea 
generation for specific and emerging research topics or viewpoints. Proposals 
should be explicit regarding the kind of activity participants should expect, 
for example, from interactive/generative participatory sessions to 
mini-conference or symposium sessions.
●       Tutorials (4 pages, SoLAR companion proceedings template) aim to 
educate stakeholders on a specific learning analytics topic or stakeholder 
perspective. Proposals should be clear what the need is for particular 
knowledge, target audience and their prior knowledge, and the intended learning 
outcomes.
Doctoral consortium
The doctoral consortium is a day-long workshop designed to support emerging 
scholars in learning analytics by helping them develop productive approaches to 
studying the intersection of theory, data, and practice. Doctoral Consortium 
participants will be given the opportunity to present, discuss, and receive 
feedback on their research in an interdisciplinary and supportive atmosphere, 
as well as build their professional network with leading researchers.
More details will be available on LAK20 website around submission lengths and 
formats of the different types of submissions.
Review process
LAK20 will use a double-blind peer review process for all submissions except 
doctoral consortium (as they include a letter of reference from the principal 
supervisor) and demos. An important aspect of this year’s review process is 
that LAK20 will have a rebuttal phase for full and short research papers in 
which authors will be given five days to respond to remarks and comments raised 
by reviewers in a maximum of 500 words. Rebuttals are optional, and there is no 
requirement to respond. Authors should keep in mind that papers are being 
evaluated as submitted and thus, responses should not propose new results or 
restructuring of the presentation. Thus, rebuttals should focus on answering 
specific questions raised by reviewers (if any) and providing clarifications 
and justifications to reviewers. Finally, the conference timeline allows for 
rejected submissions to be re-submitted in revised form as workshop papers.
Proceedings publication
Accepted full and short research papers will be included in the LAK20 
conference proceedings published and archived by ACM. Other types of 
submissions (research posters, workshops, tutorials, and practitioner track 
submissions) will be included in the open access LAK companion proceedings, 
archived on SoLAR’s website. Please note at least one of the authors must 
register for the conference by the Early bird deadline before the paper can be 
included in the ACM Proceedings or LAK Companion Proceedings.
Important dates
Note: all dates are 23:59 GMT-12 (AOE 
Timezone<https://www.worldtimeserver.com/time-zones/aoe/>)
Submission deadlines:
●       1 Oct 2019: Deadline for full and short research papers, practitioner 
reports, and workshop/tutorial proposal submissions
●       14 Oct 2019: Deadline for doctoral consortium submissions
●       1 Nov 2019: Deadline for research and practitioner posters and 
interactive demo submissions
●       15 Nov 2019: Deadline for full and short research paper rebuttal 
(submissions open 8 Nov 2019) submissions
●       15 Dec 2019: Deadline for workshop paper submissions (submissions open 
1 Nov 2019)
●       20 Dec 2019: Deadline for camera-ready versions of all accepted 
submissions
Acceptance notifications:
●       21 Oct 2019: Notification of acceptance for workshops and tutorials
●       15 Nov 2019: Notification of acceptance for doctoral consortium
●       1 Dec 2019: Notification of acceptance for full and short research 
papers, practitioner  reports, posters/demos
●       5 Jan 2019: Notification of acceptance for workshop papers
Conference and registration dates:
●       20 Jan 2020: Early-bird registration closes
●       23-27 Mar 2019: LAK20 conference, Frankfurt, Germany
Further information
Visit http://lak20.solaresearch.org for further details about the conference 
venue, organisers, keynotes, topics, submission guidelines and review process.
Kind regards,
Vitomir Kovanovic, Maren Scheffel, Niels Pinkwart, and Katrien Verbert
LAK20 Program Chairs

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