From Feedback to Feedforward
The results of a 10-week study into the effectiveness of AI-Managed Learning Loops*
What We Measured
19,500
Australian and New Zealand secondary school students
204k
total answers analysed
100k
answers analysed without the learning loop on
104k
the learning loop on
AI-Based Star Ratings
Our AI tool rates all student responses by comparing them to model answers and explanations crafted by educators. All lessons and questions are aligned to your selected curriculum.
Rated as low quality
or
Rated as average quality
Rated as high quality
or
The Learning Loop
The Learning Loop is an iterative, real-time process that allows students to receive feedback, apply it to improve their work, and then receive further feedback on their improvements. This cyclical approach contrasts the traditional model of feedback cycles, where students receive a delayed evaluation of their efforts, without the opportunity to learn from their mistakes and try again while in the flow of learning.
Finding #1
Students Engage More Effectively with an Activated Learning Loop
1-Star Attempts
Percentage of students that progressed from a 1-star initial attempt to a second attempt
Percentage of students that then progressed from a 1-star second attempt to a third attempt
2-Star Attempts
Percentage of students that progressed from a 2-star initial attempt to a second attempt
Percentage of students that then progressed from a 2-star second attempt to a third attempt
Finding #2
Our Learning Loop Results in Higher Star-Rated Student Responses
Before and After
3-star, 4-star and 5-star final attempts increased from 48% before the Learning Loop to 87% with the Learning Loop
1-star and 2-star final attempts dropped from 52% before the Learning Loop to just 13% after the Learning Loop
Finding #3
Our Learning Loop Results in Higher Star-Rated Student Responses
Measured Improvements
The Final Numbers
* Statistics are based on an internal data analysis of AI-graded student answers performed by Education Perfect and do not reflect a formal study of learning improvement efficacy. EP AI star ratings use a generic marking criteria. AI grading and feedback can sometimes be incorrect. Model answers / exemplar responses may have been shown to students between the first and final attempt.
