EDM 2022 : International Conference on Educational Data Mining
Conference Series : Educational Data Mining
Call For Papers
Topics of Interest
Note that a paper does not need to use a certain method to be of interest to EDM. The most important consideration is whether the paper has novel implications of interest to the EDM community, which may include development of relevant theories, new EDM methods, evaluations of EDM methods, quantitative or qualitative research on stakeholders’ views toward EDM practices, insights into the EDM community itself, or other ways of discovering knowledge of relevance to EDM.
Topics of interest to the conference include, but are not limited to:
Research related to the conference theme this year: Inclusion, Diversity, Equity, and Accessibility (IDEA) in EDM Research and Practice
Closing the loop between EDM research and learning sciences (e.g., informing EDM via educational theory and vice versa)
Causal inference of which factors impact—not just predict—learning
Developing new techniques for mining educational data
Deriving representations of domain knowledge from data
Privacy concerns and methods for preserving privacy
Learner cognition, metacognition, affect, emotion, and behavior modeling
Learner knowledge and performance modeling
Educational recommenders, instructional sequencing, and personalized learning
Institutional analytics (e.g., course sequencing, policy analysis)
Social and collaborative learning (e.g., social network analysis, discussion forum mining)
Replicability (e.g., replications in new contexts, platforms to enable replication)
Improving reproducibility and open science methods in EDM research
For all tracks, the references section at the end of the paper does not count towards the listed page limits.
Full Papers: 10 pages. Should describe original, substantive, mature, and unpublished work.
Short Papers: 6 pages. Should describe original, unpublished work. This includes early stage, less developed works in progress.
JEDM Journal Track Papers: Papers submitted to the Journal of Educational Data Mining track (and accepted before May 30, 2022) will be published in JEDM and presented during the JEDM track of the conference.
Industry Papers: 6 pages. Should describe innovative uses of EDM techniques in a commercial setting.
Doctoral Consortium: 2–4 pages. Should describe the graduate/postgraduate students’ research topics, proposed contributions, results so far, and aspects of the research on which advice is sought.
Posters/Demos: 2–4 pages. Posters should describe original unpublished work in progress or last-minute results. Demos should describe EDM tools and systems, or educational systems that use EDM techniques.
Workshop proposals: 2–4 pages. Should describe the organizers’ plan both to conduct the workshop (e.g., format, rough schedule, proposed list of speakers) and to stimulate growth in the workshop’s area of focus. Workshop organizers should indicate whether they would prefer to host their event in a hybrid format (supporting both in-person and remote attendees), or a remote-only format.
Tutorial proposals: 2–4 pages. Should motivate and describe succinctly the field or tool that will be presented, as well as a plan for attendees to learn it in a hands-on way. Tutorial organizers should indicate whether they would prefer to host their event in a hybrid format (supporting both in-person and remote attendees), or a remote-only format.
All accepted papers will be published in the open-access proceedings of the conference, except for the JEDM journal track as stated above. Papers submitted to workshops will be published separately in the workshop proceedings. All paper submissions must be submitted for double-blind reviewing.
Links to existing source code are encouraged, however, to keep the double-blind reviewing, we suggest using a service such as Anonymous GitHub (https://anonymous.4open.science).
All papers should be formatted according to the EDM template, which is available in Word and LaTeX versions (https://educationaldatamining.org/resources/), and will soon be available in the template gallery in Overleaf. Note that the templates have recently changed to improve accessibility—thus, please make sure to use the updated template.
Papers should be submitted to EasyChair (https://easychair.org/my/conference?conf=edm22). Select the relevant track for your submission on EasyChair, and then follow the submission instructions.
EDM will incorporate questions related to fairness, equity, and positive social impacts as part of the review process this year. Authors should thus also consider these questions while writing papers. Details are available online (https://educationaldatamining.org/edm-2022-author-reviewer-checklist/); note that not all questions will be relevant to every paper, but if a question is relevant, reviewers will be asked to comment on it. In short, the questions are:
Does the paper provide detail on the demographics of the population involved in the study?
Does the paper describe how participants’ privacy rights were respected in the data collection process?
Does the paper explicitly check for algorithmic bias in some fashion, and/or replicate new or existing results across population(s)?
Does the paper include a discussion about potential positive and negative educational impacts of the proposed research artifact or application?
Does the paper discuss ethical concerns related to the work, including potentially the framing of the task?
Does the paper discuss the limitations of the work?
Does the paper describe the computational power needed for training or testing the given models?