Team and Self-Created PLN
Empowering educators through structured, collaborative, and self-paced learning experiences.
Empowering Educators, Elevating Learning
Rastify is your dedicated space for meaningful educator development. We bring together structured Professional Learning Networks (PLNs), self-paced modules, collaborative discussions, and real classroom-tested strategies—all designed to help teachers enhance instruction, increase student engagement, and build mastery-driven learning environments.
From interactive tools like Quizizz to guided reading frameworks, Rastify equips educators with the resources and support they need to teach with confidence and impact.
What This Site Offers
Team PLN: Level Up Learning with Quizizz
A structured, four-week learning journey helping educators implement Quizizz for engagement, assessment, and mastery learning.
Self-Created PLN: Guided Reading 101 with Mrs. Keifer
A self-paced PLN offering lesson plans, demonstrations, and tools for effective guided reading.
Why Professional Learning Networks Matter
Professional Learning Networks build collaboration, support differentiated learning, and empower educators to continuously upgrade their skills through shared resources and guidance.
Frequently Asked Question
Our model only processes qualifying text in the form of long-form writing. Long-form writing means individual sentences contained in paragraphs that make up a
longer piece of written work, such as an essay, a dissertation, or an article, etc. Qualifying text that has been determined to be likely AI-generated will be
highlighted in cyan in the submission, and likely AI-generated and then likely AI-paraphrased will be highlighted purple.
Non-qualifying text, such as bullet points, annotated bibliographies, etc., will not be processed and can create disparity between the submission highlights and the
percentage shown.
The percentage shown in the AI writing report is the amount of qualifying text within the submission that Turnitin’s AI writing
detection model determines was either likely AI-generated text from a large-language model or likely AI-generated text that was
likely revised using an AI paraphrase tool or word spinner.
False positives (incorrectly flagging human-written text as AI-generated) are a possibility in AI models.
AI detection scores under 20%, which we do not surface in new reports, have a higher likelihood of false positives. To reduce the
likelihood of misinterpretation, no score or highlights are attributed and are indicated with an asterisk in the report (*%).
The AI writing percentage should not be the sole basis to determine whether misconduct has occurred. The reviewer/instructor
should use the percentage as a means to start a formative conversation with their student and/or use it to examine the submitted
assignment in accordance with their school's policies.
