Attendance

Instructions

To see the participants who have registered for your cohort or to enter attendance data, scroll down and enter your cohort code.
Please fill in the Attendance by Cohort, Video Artifacts, and Dropout notes columns as applicable.
Attendance by Cohort: To fill out participant attendance, you will need to select the right code. The attendance codes are the cohort code followed by the session number (1, 2, or 3) and Present or Absent. For example, if a participant was present for the first session of AC100PQ, and absent for the second and third session, their attendance would be AC100PQ1-Present, AC100PQ2-Absent, AC100PQ3-Absent. Please fill in the attendance even if a participant is absent for all three sessions.
Video Artifacts: Please indicate for each session whether a participant brought a video of their practice or a lesson plan artifact. If they did not bring any artifacts, please leave that column blank. If there is data in that column already, please just add the new data to it.
Dropout Notes: If a participant has shared with you why they are no longer participating in ACRES, please indicate the reason in the Dropout Notes column.

Skill codes:

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Terms of Use

Except where otherwise noted, ACRES modules and resources are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

This means, you are free to share and adapt the ACRES resources, under the following terms:

Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

NonCommercial — You may not use the material for commercial purposes.

ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

ACRES is a project of:

Maine Mathematics and Science Alliance
343 Water Street, Augusta, ME 04330

This material is based upon work supported by the Noyce Foundation, STEM Next, the Davis Family Foundation, and the National Science Foundation under Grants No. DRL 17131341 and DRL 2115229. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the funders listed above.