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Assessments  Differentiation (KAT)  Metacognition (KAT)  Personalisation (KAT)  Scaffolding (KAT)  
Scaffolding/Feedback  

 Description

gotFeedback is an AI-powered feedback tool designed to help educators provide personalised and timely feedback on student writing. By allowing teachers to upload documents or paste text, gotFeedback analyses the writing based on specific criteria such as narrative structure

, use of evidence, and claims. The platform aims to streamline the feedback process, enabling teachers to focus on instruction while still offering meaningful insights to their students.


 Features
  • AI Analysis of writing
  • Integration Capabilities: Can be integrated with various learning management systems (LMS)
  • Multiple Document Formats: Supports uploads of PDFs and Word documents, as well as text input.

 Affordances
  • Allows teachers to create tailored feedback prompts for specific assignments.
  • Provides feedback that can be edited for personalisation before sharing with students.

 Educator Usage

Substitution - Instead of manually grading each paper, teachers can upload documents to the platform, which generates initial feedback based on set criteria.

Augmentation - Teachers can use the AI-generated feedback as a starting point, enhancing their comments with personalised insights. This immediate access to evaluations helps educators address student needs more effectively and encourages students to revise their work based on constructive suggestions.

Modification: gotFeedback allows for detailed, criterion-based analysis. With this, educators can create custom prompts tailored to specific writing tasks, enabling them to focus on particular skills or areas for improvement. This modification fosters a more targeted approach to teaching writing skills, ensuring that feedback is relevant and actionable.

Redefinition - gotFeedback redefines the feedback process by enabling ongoing dialogue between teachers and students about their writing. With features that allow for real-time updates and tracking of student progress over time, educators can create a continuous feedback loop that encourages growth. Additionally, the ability to store and reference past feedback creates a comprehensive record of each student's development.

For a comprehensive understanding of how generative AI can be applied in teaching and learning, including guidelines for its use in educational settings, integration into assessments, and considerations around ethics and academic integrity, please refer to this document: [Generative Artificial Intelligence for Teaching and Learning]


 Platforms Supported
Latest version of Chrome, Edge, Firefox, Safari browsers

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