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Balancing the Equation: Connecting Math Cognition and Education


The Mathematical Cognition and Learning Society (MCLS) invites abstract submissions for the 2019 meeting in Ottawa, Canada from June 16-18. The society encourages submissions from researchers at all career stages. Submissions should be made via the conference website.

REVISED FEBRUARY 4, 2019

Please contact mcls2019@carleton.ca if you have any questions.


Symposia Submission Deadline: February 8, 2019

Lightning Talk and Poster Submission Deadline: February 8, 2019

Notification of Decisions: by February 25, 2019

Conference Registration Opens: February 25, 2019

Submission Types

Symposia
To propose a symposium, submit an abstract (max 500 words) that describes the general topic of the symposium, the names, positions, and institutions of the speakers, and a title and brief description for each talk, as well as a title for the symposium. A symposium consists of four presenters (15 minutes each, including time for questions), or three presenters and one discussant. Submissions that feature presenters from multiple career stages and international perspectives are encouraged. Please select ‘Presenting author’ to indicate the chair or organizer of the symposium. If a symposium is accepted, each speaker will be asked to submit an individual abstract by March 25, 2019.


Total time allotted to a session: 65 minutes
Please note that the program will be set up to allow ample time for informal discussion.


Educationally-relevant symposia
Symposia submissions on topics of mathematics learning and instruction are encouraged in keeping with the conference theme of connecting math cognition research and education. For scheduling purposes, please indicate if your proposed topic may be of interest to educators and include a description of implications for education in your abstract.

We will not be accepting abstracts for stand-alone oral presentations. If you require assistance connecting with other potential presenters to propose a symposium on a specific topic, please email mcls2019@carleton.ca, including a brief description of your topic.


Posters
For poster presentations, submit an abstract (max 300 words) including title and author names and affiliations. Poster abstracts must include introduction, methods, results, and conclusions. For projects where data collection has not been completed, consider submitting an abstract for a Pre-registration Poster.


Pre-registration Posters
Researchers looking to get feedback on the design of studies to be undertaken, or on analysis plans for projects in progress, are invited to submit abstracts for pre-registration posters.
Abstracts must include:

  • Introduction (rationale for carrying out the study and hypotheses)
  • Methods (how the hypotheses will be tested)
  • Approach for statistical analysis (how the data will be analysed and what the predicted outcomes are)

More information about conference abstracts and open science can be found here:
https://doi.org/10.1016/j.tics.2018.01.008


Lightning Talks (5 minutes talk)
Lightning talks will be grouped into 30 minute sessions consisting of five 5-minute talks, with one audience question for each and time for general discussion. Presenters may use a maximum of 3 slides and will be cut off when 5-minutes is up. Submit an abstract (max 300 words) with a title and the authors’ names and affiliations and indicate whether your abstract is for a Data Blitz or Collaboration Pitch.


Data Blitz
Communicate 1-2 key findings in a clear and concise manner and include only the essential information. Abstract for data blitzes should follow the same format as poster submissions.

Collaboration Pitch
Propose an idea for a project and solicit feedback and potential collaborators. Abstracts for collaboration pitches should describe the rationale and research questions of the project. The aim is that these pitches would provide opportunities for forming new collaborations to combine or collect larger datasets, provide assistance with analysis techniques, or facilitate data collection in special populations.

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