Video summary

Artificial Intelligence in Data Driven Leadership in Education

Main summary

Key takeaways

Educational

Main Ideas and Lessons Conveyed

  • AI literacy is increasingly demanded in education leadership

    • “AI literacy” is framed as the key competency, gradually overtaking traditional “digital literacy.”
    • There’s no single universally guaranteed certification, but educators can become AI-literate by using AI tools appropriately in classroom practice and school operations.

  • Data-driven leadership requires solid, reliable data

    • Effective leadership decisions must be grounded in trusted and valid data, not “instinct.”
    • Schools should collect strong evidence using surveys/responses (e.g., Google Forms) and store results so they can be reused later.
    • Excel-based data analysis/analytics is presented as a practical method for school heads to evaluate whether initiatives worked (e.g., whether a program improved enrollment).

  • AI supports decision-making, but humans remain responsible

    • Participants are reminded that AI outputs are not final authority—leaders and teachers must interpret results and decide actions to take.
    • Core principle: AI can recommend, but educators must consider context, empathy, and suitability (for example, cancel or modify interventions even if data suggests they should proceed).

  • Challenges to adopting AI in education (especially for school leaders/teachers)

    • Data privacy and technical trust concerns.
    • Limited expertise / lack of training.
    • Accessibility barriers (whether learners have cellphones or internet access).
    • Bias and limitations (AI is only as good as the input data; lack of empathy can yield poor recommendations).
    • Infrastructure limitations (weak signal, limited devices).
    • The session emphasizes that training and baseline knowledge can reduce these challenges.

  • Recommended AI tools (as described)

    • Google Gemini and Microsoft Copilot are presented as more reliable options in the context of school accounts.
    • ChatGPT is acknowledged, but with noted limits.
    • Using the proper school/official accounts matters (personal vs. school accounts).

Practical Workflow Demonstrated: “Data → Analytics → AI-Assisted Planning”

  1. Use QR codes to access an entry/training resource.
  2. Collect response data using Google Forms.
  3. Use Excel with appropriate add-ins:
    • Enable Analysis ToolPak (and potentially Solver).
    • Use statistical tools such as:
      • Two-sample t-test (paired/two-sample means)
      • correlation, and other relevant methods
  4. Create pivot tables and/or data visualizations that update from live data.
  5. Convert/export reports (e.g., to PDF) for documentation.
  6. Use AI (MagicSchool AI) to generate structured deliverables based on collected data (e.g., a 3-day PD plan, differentiated sessions, presentations, etc.).
  7. Store outcomes in an LMS/repository structure so principals can access lock sessions and materials over time.

Methodology / Instructions Presented (Detailed)

A) Getting the Certificate (Registration/Cutoff Process)

  • No registration is required to attend the free webinar.
  • To receive the certificate, participants must:
    • Attend the webinar from start to finish.
    • After the webinar, complete a certification link within a limited time window (about 10 minutes as mentioned).
  • If participants can’t submit in time:
    • They may need to use Google Chrome to open the certification link.
  • The certification link is time-constrained to ensure only actual attendees receive certificates.

B) Accessing Resources/Training via QR Code

  • A QR code is described as the fastest entry method.
  • Attendees are instructed to:
    • Download/scan the QR code.
    • Enter an online access/training space (described as involving online/flex/hybrid/face-to-face options).
  • The QR code reportedly includes an access code (e.g., “6509” is stated).

C) Building a Data-Driven Evidence Base (Surveys and Storage)

  • Use Google Forms to create surveys.
  • Publish the form and collect responses.
  • Ensure the response link is shared or processed so results can be reused later.
  • Export and document results:
    • Responses can be converted/exported to PDF for readability and sharing.
  • Keep “lock session” materials in a repository so they persist and can be revisited annually.

D) Excel Setup and Analytics Workflow

  • Confirm school/official Microsoft 365 / Office 365 access:
    • Sync/enable it on devices (laptop and optionally a cellphone).
  • In Excel:
    • Go to Add-ins and enable Analysis ToolPak.
    • Use the Data Analysis menu to select statistical methods.
  • Example analysis shown:
    • Use a two-sample t-test (two-tailed) to evaluate whether a program changed outcomes (e.g., an anti-bullying orientation affecting enrollment/participation).
    • Interpret p-values using a chosen alpha threshold (0.05 presented as standard).
  • Use conditional formatting to highlight values that meet rules (e.g., greater-than thresholds).
  • Use pivot tables:
    • Pivot tables can reorganize and update automatically when underlying data changes.
    • Pivot tables support grouping by school/program and dynamic filtering for reporting.

E) Integrating AI into Data-Driven Leadership (Human-in-the-Loop)

  • Use AI tools to:
    • Generate plans and session structures (e.g., PD schedules).
    • Convert survey insights into actionable training formats.
  • Maintain decision responsibility:
    • Leaders make final decisions about adoption and adjustments.
    • AI should not replace educator judgment, empathy, or contextual considerations.

F) Using MagicSchool AI (As Presented)

  • Enter MagicSchool AI with templates for educational planning.
  • Examples demonstrated:
    • Generate a 3-day professional development seminar for educators based on the data.
    • Create day-by-day schedules/tables.
    • Generate PowerPoint slide content (e.g., “Generate professional 5 slides” for a topic such as leadership), then export/generate and edit with design tools.
  • Additional capabilities mentioned:
    • “Picture sensitive” reading (AI can interpret images/pictures).
    • “Unlimited attachments” (stated as a capability within the described system/domain context).
  • Limitations mentioned:
    • Some AI services may impose text/name limits per output, based on template constraints.

G) LMS / Repository and “Lock Session” Handling

  • A recurring session structure is described, including:
    • Pretest/assessment, documentation, video/output, minutes, reflections, and repository storage.
  • Emphasis:
    • Build materials so future principals can access them anytime.
    • “Lock sessions” occur periodically (stated roughly as monthly: about one in a month, totaling about 12).

H) End-of-Session Survey and Feedback

  • Attendees complete a short survey during or near the end.
  • A word cloud/summary is shown as part of the feedback mechanism.

Speakers / Sources Featured (Identified)

  1. Sir Alan Custudio (main presenter/trainer)
  2. Sir John Morata (director/trainer; mentioned as a cct/classpoint trainer)
  3. Maam Maria (attendee greeting/commenter)
  4. Maam LJ (attendee greeting/commenter)
  5. Ma’am LJ / Ma’am Les / Ma’am Sarah Jane / Ma’am Kirana / Ma’am Grace / Ma’am Nono / Ma’am Maria Joy / Ma’am Gisel / Ma’am Lenny / Ma’am Karen / Ma’am Shan (attendees acknowledged through greetings/questions)
  6. Various participants/locations referenced as attendees (e.g., General Santos City, Taguig, Basilan, Batangas, Quezon, North Cotabato, Bukidnon, Cavite, Ilocos Norte, Occidental Mindoro, Mandaluyong, Cagayan, etc.)
  7. Edtech Teacher Training Center (hosting/promoting the webinar and certification process)
  8. Microsoft (Office 365, Excel add-ins, Copilot)
  9. Google (Google Forms, Google Drive, Gmail, Chrome)
  10. MagicSchool AI (used for generating PD plans and slide content)
  11. DepEd / DepEd.gov.ph (referenced for organizational domain/account context and training/placement requirement)

Original video