4.2 Grading and Feedback — The AI-Enhanced Classroom: Redefining Teaching and Learning

Guiding Questions

How can AI be used to create formative and summative assessments?
How can AI assist in grading and providing feedback?
What are the benefits and downsides of using AI to assist in grading assignments?

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There are multiple ways that AI can assist with creating assessments, grading and providing feedback without taking away from any of the personalized teacher help that students benefit from. But since the focus of this module is improving teacher workflow, we’ll focus on how chatbots and other AI tools can lighten the load of grading and giving feedback.

Creating Assessments

Formative assessments

Teachers invest a significant amount of time in crafting engaging formative activities for their classroom. By integrating AI into their workflow, teachers can swiftly generate high-quality activities that can be used to check progress and reinforce student learning.

AI tools take into account the learning objectives, specific skills, concepts, and knowledge that require reinforcement, ensuring their alignment with assessments used in the classroom. These tools can also generate a variety of learning options, allowing students to choose activities or enabling teachers to diversify the types of formative activities provided. Furthermore, AI tools can create answer keys and adaptive exercises, minimizing teacher workload.

Some formative assessment activities that AI can help create include:

Worksheets
Matching exercises
Word searches
Fill-in-the-blank
Short answer questions
Discussion ideas
Short stories
Role-play ideas or scripts

Summative assessments

AI tools can also help generate summative assessments that are aligned with standards, targeting the exact concepts and skills being tested, personalized to the needs of your classroom or individual students, and adapted to different teaching and learning goals. Some types of assessments that AI tools can help generate include:

Essay Prompts
Project Ideas
Assessment Questions
Case Studies
Research Topics
Oral Presentation Topics
Debate Topics
Book Report Guidelines
Simulation Scenarios
Portfolio Creation Guide

Rubrics

Another key step in the assessment process that AI can assist with is drafting rubrics. Like with curricula and lessons, you can input the assignment specifics and a chatbot will return a decent rubric that you can edit to fit your needs. This not only cuts down the time it takes to write an organized rubric, but the chatbot may also suggest insightful assessment metrics that you didn’t think of. You can then input these rubrics as grading criteria when employing AI to grade assignments later. As we suggested in the curriculum development lesson, the more details you can provide about the grade level, assignment type, and standards, the more useful the AI-generated rubric will be. This is also a great place to make use of Chat GPT’s ability to generate output in table format.

Grading

Now onto grading. The main reason that AI can be a great tool for lessening the workload of grading is that it is simply faster than humans. So, it can help teachers grade large numbers of assignments quickly. It can also recognize patterns and be used to identify common problems and mistakes in student work. So for example, if you ask an AI tool to grade a multiple choice quiz for your class of 25 students, you can then ask it to list the top 3 questions that students got wrong so you know where to target your review. Allowing the AI to do the tedious part of grading for you then leaves you more time to plan and personalize your next steps.

Chatbots are also capable of giving individualized feedback on assignments, which is a function that can be used both by teachers, and by students looking to check their work. When prompting a chatbot to give feedback, you can instruct it on where to focus. For example, if you’re using it to grade an essay assignment, you may want the feedback to focus on technical skills like spelling and grammar, or on the flow and persuasiveness of the writing. You can also encourage students to ask for specific feedback based on their individual strengths and weaknesses. Having students do self-checks with a chatbot throughout an assignment adds formative assessment into the process, without increasing the teacher’s workload.

Tools and Resources for AI-Assisted Assessment

Besides ChatGPT, here are some popular tools and resources that offer automated scoring and feedback capabilities:

Turnitin: Turnitin provides plagiarism detection, automated essay scoring, and AI-powered feedback on grammar, style, and content.
Gradescope: Gradescope offers automated scoring for various assessment types, including multiple-choice, fill-in-the-blank, and short-answer questions.
Quizlet: Quizlet's AI-driven platform allows you to create personalized quizzes and flashcards for your students, with automated scoring and feedback.

Benefits and Downsides

We’ll finish this lesson with a brief discussion on the potential benefits and downsides of using AI for grading and giving feedback.

One potential benefit is that it ensures uniform grading. Bots don’t get tired, have more important things to worry about, or have opinions and biases. They can grade each individual assignment with the exact same amount of attention and objectivity.
AI can also help increase the quantity and pace of feedback that students receive beyond what a teacher would have time to give on their own. For example, students can ask a chatbot for personalized, real-time feedback throughout different steps in a project or assignment. Other tools, like Duolingo and Socrat.ai are also designed to give instant feedback as students are building particular skills.
The key downside is that there are times when the human perspective is essential. Personal comments from teachers on areas of growth are critical for helping students feel seen and cared for. Avoiding over-reliance on AI is also an important part of using it in your teaching practice.
Another downside is that AI does not have the same discerning eye as a teacher. For example, AI tools may recognize that a student used all the right vocabulary words, but it may not pick up if a student’s response lacked deeper understanding. Likewise, teachers know their students and how they communicate, making them better equipped at seeing beyond certain mistakes, like spelling or grammar, to assess whether the student understands the content.

In the end, employing AI in grading is all about figuring out which tasks are better suited for a chatbot or a human.

Key Takeaways

AI can assist with multiple stages grading, from creating rubrics and assessment questions to scoring and giving feedback.
Using AI for grading has both benefits and downsides. Teachers can use AI to make their work quicker and easier, but AI can’t replace personalized attention from the teacher.