The Impact of AI-Driven Tools on Student Writing Development: A Case Study From The CGScholar AI Helper Project

TL;DR

This case study investigates how the CGScholar AI Helper, a web-based AI feedback tool, influences 11th-grade students' writing development in a diverse, low-income school setting.

Contribution

It provides new insights into the effects of AI-driven feedback on student writing and offers practical suggestions for improving such educational tools.

Findings

AI Helper supported students' writing development.

Students and teachers provided feedback for tool improvement.

The tool showed potential in diverse, low-income educational contexts.

Abstract

The case study examines the impact of the CGScholar (Common Ground Scholar) AI Helper on a pilot research initiative involving the writing development of 11th-grade students in English Language Arts (ELA). CGScholar AI Helper is an evolving and innovative web-based application designed to support students in their writing tasks by providing specified AI-generated feedback. This study is one of six interventions. It involved one teacher and six students in a diverse school with low income students and explored to what extent customized AI-driven feedback can support students' writing development. The findings suggest that the implementation of AI Helper supported the development of students' writing in a number of ways. It also elicited suggestions from the teacher and students about ways of improving the still in development tool.