Kritik
AI-powered peer assessment platform for higher education
💰Paid
🌐Web
About
Kritik is an AI-powered peer assessment platform that facilitates structured student feedback and evaluation. It enables students to critically assess their peers' work using rubrics, fostering critical thinking and providing diverse learning perspectives. Educators benefit from automated grading assistance, scalable active learning, and valuable insights into student performance and engagement.
How to Use
1. As an instructor, create an assignment and define the submission requirements, criteria, and grading rubrics.
2. Students submit their work (e.g., essays, presentations) by the deadline through the Kritik platform.
3. The AI assigns submissions to peers for critical evaluation and feedback, guided by the instructor's rubric.
4. Students then evaluate the feedback they received, and the AI helps instructors synthesize these evaluations into a final grade, promoting reflective learning.
Available On
web
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Frequently Asked Questions
What is Kritik?▾
Kritik is an AI-powered peer assessment platform designed for higher education. It facilitates student evaluation of classmates' work, providing constructive feedback and improving critical thinking. Educators can create engaging activities, monitor student engagement, and gain insights into learning outcomes.
Is Kritik free?▾
No, Kritik is a paid AI tool. It operates on a subscription model, offering various plans tailored to educational institutions and specific course needs. Prospective users typically engage with a sales team to determine the best fit and pricing for their implementation.
Who is Kritik best for?▾
Kritik is ideal for universities, colleges, and higher education institutions seeking to enhance active learning and student engagement through peer feedback. It suits instructors aiming to scale feedback processes in large courses and develop students' critical assessment skills.
How does Kritik ensure fair grading?▾
Kritik incorporates AI and instructor oversight to ensure fairness. Students are graded on the quality of their evaluations, not just their submissions. Algorithms help identify outlier grades and potential bias, while instructors maintain ultimate control, moderating and adjusting grades as needed.
Topics & Tags
🌍Global👨🎓Students🎯Assessment👩🏫Teachers🏛️Administrators🎯Studying🎯Teaching📚General
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