The EdTech PD Journal is a fillable PDF kept across a single school year. It gives an educator one place to document professional development on AI and educational technology: what each session covered across governance, policy, and tool use; which tool was involved, whom it serves, and what makes it AI; whether the training addressed the safety of both student and educator data; and what it prepared the educator to do. Each entry also records the gap, what the session did not address that the role requires, so the record shows not only what was taught but what remains. Read together across a year, the entries form an account a district can be held to: evidence of whether its required training prepares educators with data safety in mind.
What is inside:
Teaching Philosophy. Five pages establishing the standard against which every tool is judged.
The Learning Log. Twelve dated, two-page entries cataloguing each session, the tool, its audience and AI-driven function, data-safety coverage, what changed in practice, the gap it left, and a full page for reflection and open questions.
Helpful Hints: Types of AI. A plain-language reference to the kinds of AI found in teacher-facing and student-facing tools.
Tool in Practice. Twelve reviews of whether an adopted tool delivered what it promised.
Quarterly Reflection and Year-End Synthesis. Wider readings of how understanding shifted across the year.
A clickable contents page and fillable fields throughout.
The EdTech PD Journal is a fillable PDF kept across a single school year. It gives an educator one place to document professional development on AI and educational technology: what each session covered across governance, policy, and tool use; which tool was involved, whom it serves, and what makes it AI; whether the training addressed the safety of both student and educator data; and what it prepared the educator to do. Each entry also records the gap, what the session did not address that the role requires, so the record shows not only what was taught but what remains. Read together across a year, the entries form an account a district can be held to: evidence of whether its required training prepares educators with data safety in mind.
What is inside:
Teaching Philosophy. Five pages establishing the standard against which every tool is judged.
The Learning Log. Twelve dated, two-page entries cataloguing each session, the tool, its audience and AI-driven function, data-safety coverage, what changed in practice, the gap it left, and a full page for reflection and open questions.
Helpful Hints: Types of AI. A plain-language reference to the kinds of AI found in teacher-facing and student-facing tools.
Tool in Practice. Twelve reviews of whether an adopted tool delivered what it promised.
Quarterly Reflection and Year-End Synthesis. Wider readings of how understanding shifted across the year.
A clickable contents page and fillable fields throughout.
