Manually grading essays and providing comprehensive feedback pose significant challenges for writing instructors, requiring subjective assessments of various writing elements. Automated essay scoring (AES) systems have emerged as a potential solution, offering improved grading consistency and time efficiency, along with insightful analytics. However, the use of AES in English as a Second Language (ESL) remains rare. This dissertation aims to explore the implementation of AES in ESL education to enhance teaching and learning. The dissertation presents a study involving ESL teachers who learned to use a specific AES system called LightSide, a free and open text mining tool, to enhance writing instruction. The study involved observations, interviews, and a workshop where teachers learned to build their own AES using LightSide. The study aimed to address questions related to teacher interest in using AES, challenges faced by teachers, and the influence of the workshop on teachers' perceptions of AES. By exploring the use of AES in ESL education, this research provides valuable insights to inform the integration of technology and enhance the teaching and learning of writing skills for English language learners.