Automated essay scoring uses natural language processing to evaluate student writing against defined criteria. EnlightenAI brings automated essay scoring to the classroom level: calibrated to your rubric, adapted to your scoring decisions, reviewed by you before any grade reaches a student.
Standard automated essay scoring systems apply a universal model. EnlightenAI starts from your rubric and your grading decisions. Grade five submissions alongside the system, and it learns what a 3, a 4, and a 5 look like in your classroom.
After five submissions, automated scoring takes over. EnlightenAI evaluates each essay against your rubric criteria using natural language processing, assigns scores per criterion, and drafts inline feedback in seconds.
No automated essay scoring output reaches students without your approval. Review the full stack, edit any score or comment, and send. Automated speed, teacher control. Every grade has your sign-off.
Traditional automated essay scoring systems use machine learning models trained on large datasets of scored essays. Tools like Pearson’s Intelligent Essay Assessor (IEA), IntelliMetric, and Project Essay Grade (PEG) produce consistent scores at scale, but they apply the same model to every teacher’s rubric.
EnlightenAI uses large language models and natural language processing with a calibration layer. The system learns from your scoring decisions through the first five submissions, adapting to your rubric and grade level rather than a statistical average from a large dataset.
As you review automated scores, EnlightenAI adapts to match:
Aligned to major writing standards and exams
The gap between a traditional automated essay scoring system and one calibrated to your classroom is the difference between a generic model and one that has learned your rubric. EnlightenAI scores each essay against your criteria, not a statistical average from a large dataset.
“Your essay demonstrates moderate coherence and adequate thesis development. Argument strength could be improved with more specific evidence. Word choice is generally appropriate.”
“Your thesis clearly states a position, but your evidence in paragraph 2 focuses on a different historical period (1850s instead of 1920s). Try integrating the primary source documents to strengthen your argument about economic change.”
EnlightenAI is used by 10,000+ teachers across grades 3-12
EnlightenAI has been like handing an intelligent, diligent, and tireless teaching assistant a stack of papers and having them returned promptly and in alphabetical order, meticulously graded with commentary—no fatigue, frustration, or bias involved.
Grading, once my most dreaded task, became faster and far more efficient. With EnlightenAI handling the bulk of the grading, I was free to focus on what mattered most: meaningful instruction with my students and time with my family.
I no longer need to spend hours searching for resources or scheduling meetings – I can focus on what matters most: my students’ success.
The time savings with EnlightenAI have been phenomenal. No more ‘feedback block’ or weekends lost to endless screen time.
After using EnlightenAI for a few weeks, my students demonstrated a clear upward trajectory in their ability to integrate feedback and substantiate their claims. EnlightenAI’s regular, targeted feedback became a key motivator for their improvement.
With EnlightenAI, I was able to grade assignments in about half the time, freeing up valuable time to focus on other teaching priorities.
After using EnlightenAI, across all skill levels, students made meaningful revisions, showing noticeable improvements in grammar, structure, and analysis. Seeing them take ownership of their work and make real progress so quickly was incredibly rewarding.
I love how it made me more consistent with the language I use for feedback. The consistency of language and feedback vocabulary has helped my students and myself grow with their assignments.
I appreciate the numerous advantages provided by AI tools in creating assignments. The immediate feedback they offer to my students is invaluable, fostering a collaborative atmosphere where we can identify improvements together.
I cannot believe just how quickly I can provide aligned, personalized feedback to students. It’s truly like tears-in- the-eyes game changing!
I love how the feedback is targeted to what I am looking for. I thought that it would originally be generic and generalized, but it really does get specific, especially when I edit the feedback.
EnlightenAI has completely transformed the way my students engage with the writing process. The immediate, personalized feedback helps them identify areas for improvement right away, allowing them to make meaningful revisions in real time.
What has surprised me most about using EnlightenAI to give immediate feedback is how motivated students become in trying to improve their work. Students are so engaged in trying to improve their grade!
EnlightenAI has reshaped my relationship with assessing my students’ writing. My time and energy levels no longer dictate how much writing practice my students get. Instead, they get personalized feedback and data-driven reteaching based on areas that need improvement.
Whole class trends help provide valuable insights to my teachers and I. The feedback is immediate and we get to jump into planning in our meetings right away.
I'm continually impressed by how well the AI picks up my feedback style both generally as well as in relation to a particular assignment and specific requirements.
Automated essay scoring uses machine learning and natural language processing to evaluate student writing against defined rubric criteria. These systems analyze thesis clarity, coherence, argument strength, word choice, and syntax. For a classroom-level implementation, see AI writing grader.
Accuracy varies by system and calibration method. Generic automated essay scoring systems score against a population average. In a study with DREAM Charter Schools, EnlightenAI scored 0.77 QWK with the teacher who trained it, higher than teacher-to-teacher consistency on the same scoring guide.
For the full accuracy data, see ai grading accuracy study.
Yes. Unlike traditional automated essay scoring software that applies a fixed scoring model, EnlightenAI calibrates to your rubric. Upload your rubric, grade five submissions alongside the system, and EnlightenAI adapts to your criteria.
See also: how expert teachers use rubrics.
Traditional automated essay scoring software, including tools used in large-scale standardized assessments like the ASAP competition dataset, is built to grade consistently at scale using pre-trained models. EnlightenAI adds a calibration layer: it learns from your specific grading decisions rather than applying a generic model.
See also: pretraining your grading system.
Yes. EnlightenAI integrates directly with Google Classroom and Canvas. Import student submissions automatically or batch upload Google Docs and Word files. EnlightenAI is FERPA-compliant, and student work is never used to train external models.
See also: translating feedback during grading.
No. Most tools marketed as an AI essay grader apply one scoring model to every classroom. EnlightenAI’s automated scoring engine is calibrated per teacher, using the rubric and scoring decisions from that specific classroom, not a shared default.
No, and it is not meant to. Every score EnlightenAI suggests goes through teacher review before it reaches a student. Human scoring judgment stays the final step. For the broader grading workflow this fits into, see AI grading assistant.
EnlightenAI applies automated essay scoring technology to the assignments you already give, calibrated to the rubric you already use. Upload your rubric, grade five submissions, and the system handles the rest.
40+ hours of grading time back in your year. Free for grades 3-12.
