Give Your Business StudentsInstant Writing Feedback
Provide many rounds of comprehensive, assignment-tailored feedback on your students' business writing, without giving them the answers.
For Business School Instructors
How Feedback Machines Help
Feedback Machines adapt to your assignments, writing guidelines and/or grading rubrics, and offer students many rounds of extremely detailed feedback that align with what you would give.
Feedback Machines will never do the work for students. It provides detailed feedback on their writing without giving them the answers, supporting academic integrity.
Monitor how your students improve through multiple rounds of feedback. See which concepts they're mastering and where they still need help.
Spend less time trying to understand what points the student is making. Students who use Feedback Machines submit clearer, more structured work that's easier and more enjoyable to grade.
For Business School Assignments
How Feedback Machines Work
Based on your assignments and grading rubrics, Feedback Machines emulate the feedback that you and your TAs would give.
Create a Feedback Machine in 5 Min
Submit your assignment instructions and grading rubric and a Feedback Machine will be tailored to your criteria within a couple minutes.
Students Submit Drafts
Students submit their drafts to the Feedback Machine and receive detailed feedback that aligns with the criteria you use to evaluate their work.
You Track Progress
Track how many drafts each student submits and how their performance changes with each submission.
Why Feedback Machines
The Science of Feedback
Research shows that the number of feedback rounds directly correlates with skill development, while using AI to complete work undermines learning.
Key Research Findings:
- Multiple Feedback Iterations Enhance Learning:
Hattie and Timperley (2007) emphasize that feedback significantly influences student achievement, with an average effect size of 0.79. This underscores the importance of regular, formative feedback to facilitate continuous student improvement.
- Quality of Feedback Matters:
Detailed and elaborative feedback produces stronger learning outcomes than simple corrective feedback, helping students clearly understand errors and actively guiding their improvement (Wisniewski, Zierer, & Hattie, 2020).
- Over-Reliance on AI Can Reduce Cognitive Skill Development:
Continuous use of AI tools such as ChatGPT for completing academic tasks has been linked to decreased cognitive engagement and increased academic laziness. This reliance negatively impacts students' deeper learning processes and their ability to retain and apply knowledge independently (International Journal of Educational Technology in Higher Education, 2024).
"Feedback should cause thinking. It should be focused; it should relate to the learning goals that have been shared with the students." — Dylan Wiliam
References: Hattie, J., & Timperley, H. (2007). The Power of Feedback. Review of Educational Research, 77(1), 81-112. | Wisniewski, B., Zierer, K., & Hattie, J. (2020). The Power of Feedback Revisited. Contemporary Educational Psychology, 61. | International Journal of Educational Technology in Higher Education. (2024). Continuous use of AI tools and student cognitive engagement. Retrieved from: https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-024-00444-7