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USE CASE

AI-based Personalised Feedback for Students

By Kanika
Published: Jul 27, 2024
3 minute read

Stay Updated

The global EdTech market is on a skyrocketing trajectory, projected to reach a staggering $341.1 billion by 2027.

This explosive growth signifies a fundamental shift in how education is delivered and consumed. But amidst this exciting landscape, one challenge persists — the need for effective feedback mechanisms.

💡A 2021 study by the Bill & Melinda Gates Foundation found that 70% of students reported wanting more specific feedback on their assignments.

However, traditional grading methods often leave them with generic comments or cryptic red marks. This lack of clear direction can be frustrating and impede their learning journey.

What if there was a way where AI becomes your helpful companion to analyzes their responses, pinpoints areas for growth, and offers personalized guidance.

This isn't science fiction – it's the future of education, powered by personalized feedback systems.

Personalized Feedback System for Students Success

A personalized feedback system utilizes artificial intelligence (AI) to analyze student work and provide tailored guidance.

They act as their own personal study buddy, analysing your work and offering tailored guidance.

Here's how it works:

Analyze

The system reads student work, whether it's an essay, a math problem, or a coding project. Using Natural Language Processing (NLP) and advanced algorithms, it identifies strengths and weaknesses.

Diagnose

The AI delves deeper, pinpointing specific areas where improvement is needed. This could be anything from grammatical errors in writing to a misunderstanding of a concept.

Prescribe

The system doesn't just diagnose; it prescribes solutions. Students receive personalized feedback that explains their mistakes and gives alternative approaches like interactive exercises to solidify concepts.

Perks of Having Personalized Feedback System

Research also shows that personalized feedback can lead to a 30% increase in student learning gains. This makes AI Personalized feedback system a crucial element for the further evolution of online education services. Here’s a detailed list of perks of personalized feedback system:

1. Improved Learning Outcomes:

Studies have shown that personalized feedback can lead to significant improvements in student performance. A 2016 meta-analysis by NCES found that students exposed to personalized feedback outperformed their peers by an average of eight percentile points.

2. Increased Engagement:

Clear, actionable feedback keeps students invested in their learning. Studies show that a lack of clear and specific feedback decrease student motivation by up to 50%. Such systems empowers them to see their progress, fostering a sense of accomplishment and boosting their motivation.

3. Develops Critical Thinking Skills:

Personalized feedback encourages students to analyze their work, understand their thought process, and develop independent learning strategies. So instead of simply receiving a red mark and the correct answer, students receive prompts that ask them to reflect on their thought process.

4. Reduced Teacher Burden:

Grading mountains of essays, quizzes, and problem sets can leave them with limited time for in-depth feedback. Personalized feedback systems act as a valuable assistant, automating the initial analysis of student work so teachers can focus on providing more students improvement.

Where Feedback Gets Personal with Real Use

Several EdTech companies are already harnessing the power of personalized feedback.

  • Grammarly: This popular writing platform uses AI to identify grammar, punctuation, and style errors in student writing. It provides suggestions for improvement, making it a valuable tool for developing writing skills.
  • Khan Academy: This online learning platform employs AI to personalize the learning experience for students. The system tracks student progress and adjusts the difficulty level of exercises based on their individual needs.
  • Duolingo: This language learning app utilizes AI to provide personalized feedback on pronunciation and grammar. It tailors exercises based on a student's strengths and weaknesses, making language learning more efficient and engaging.

Challenges to Building the Bridge to Personalized Feedback

While the potential of personalized feedback systems is undeniable, there are challenges to overcome:

  • Algorithmic Bias: AI systems can perpetuate existing biases if not carefully designed. It's crucial to develop the system using diverse datasets and continuously monitor for potential biases.
  • Teacher Integration: Educators need to be comfortable integrating AI tools into their classrooms. Investing in proper training and support systems is essential for successful implementation.

The Future of Feedback: A Collaborative Learning Journey

The future of education is a collaborative one, where AI and teachers work together to empower students. Personalized feedback systems are not meant to replace teachers, but rather to augment their expertise. Design a personalized feedback system that seamlessly integrate with existing learning management systems (LMS) used by edtech platforms, schools or universities.

By embracing this collaborative learning, EdTech firms can empower students, teachers, and themselves to create a more successful and engaging learning environment.

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