Online: Tech Quick Learn - Enhancing Data Analysis for Academic Coaches

.00 Points
  • Wed, Jun 25, 2025 - Wed, Jun 25, 2025

  • Online Training

  • Online Training

40

SEATS AVAILABLE

NON-MEMBERS

$0

MEMBERS

$0

REGISTER NOW

Contact Information

Details

Course No.

#124484

Category

District: Professional Learning (9431)

Classroom Hours

.00

Non-Classroom
Hours

0

Component Numbers

3.003.006 Technology and Learning

Course Description URL

-

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STARTS IN

48

days

Start Date

Wed, Jun 25, 2025

End Date

Wed, Jun 25, 2025
Session Dates and Times

Registration Deadline

Mon, Jun 02, 2025

Withdrawal Deadline

Mon, Jun 02, 2025

Course Description
 More Details

The Technology Quick Learn sessions explore new methods of using technology, including AI, in teacher's instructional work. In this session, participants will enhance data analysis in K-12 settings. Learn how to leverage AI tools to gather, interpret, and utilize data insights to support teachers and improve student outcomes. Participants must attend the 60-minute virtual training and complete a corresponding assignment to be eligible for Inservice credit.
 
Important: Participants must complete a minimum of three, but no more than six, virtual sessions and corresponding assignments to receive Inservice credit. Credit will be awarded in a separate PDS course upon successful completion of all course requirements.


Schedule

START DATE

START TIME

End TIME

06-25-2025

03:00PM

04:00PM

Additional Information


Substitute Provided No
Stipend Provided (Charter teachers) No
Stipend Provided (HCPS teachers) No
Stipend Provided (Private teachers) No
Does this training contribute to a teacher's meeting the criteria for Highly Qualified status? No
Evaluation Method - Students F-Other performance assessment
Evaluation Method - Staff A-Changes in classroom practice
Delivery Methods B-Electronic, Interactive
Follow-Up Methods P-Participant Product related to training (may include lesson plans, written reflection, audio/videotape, case study, samples of student work)