AI can automate the Grading process by Predicting grading scores (based on similarity with historical correct answers), grouping similar answers together to assign the same score, recognizing handwriting, and providing consistent and fast feedback to students. This can save teachers much time and provide a more accurate and fair grading
Understand the Use-case under 5 minutes
Video (1.4 minutes)
The video explains how Pearson can score an English test using artificial intelligence including a candidate's speaking ability.
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Video (1.4 minutes)
Bakpax creates an AI-based solution that can help with all the things teachers do outside of class, like grading, creating content, and planning lessons.
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Article (4 minutes)
AI-based solutions for paper grading come with many benefits such as decreasing the load on teachers, saving lots of time and money, and providing fair and accurate grading.
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Get to know more Business and Technical details about the use-case (15-30 minutes)
More detailed introduction covering business and technical aspects
Article (12 minutes)
This research compared grading on paper to the AI-based one for 10 questions with 172 submissions per question. Grading times were reduced by 74%, and the number of words of the feedback given increased by a factor of 7.2
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Video (3.5 minutes)
A Demonstration for AI-based grading via smart Answers Grouping
WatchCase studies, Organizational Aspects, Return on Investment examples
Case Study (3 minutes)
Explore how Professor George Michael Gehring (Penn State Harrisburg) reduced grading time by 50% using AI-enabled grading, while enabling reporting and quality feedback
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Video (13 minutes)
Listen from Natalia Sánchez, a PhD Lecturer in Psychology in Yale University - while she explains how AI-based grading is helping her streamline the whole grading process
WatchMore details on the technical aspects of the use-case
Video (23 minutes)
Developing an easy essay grading system using machine learning and natural language processing that achieves a quadratic weighted kappa of 0.70026
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Video (30 minutes)
study of how to automate grading of a complex assignment using a medical case assessment as a test case
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Technical resources that will help you implement the use-case (notebooks, tutorials..)
Paper
Paper authors show that the algorithmic approach in machine learning can be used to automatically examine and grade theoretical content in exam answer papers.
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Video (32 minutes)
Combining conventional and advanced Natural Language Processing (NLP) methods which include various embeddings that range from word level, sentence level and contextual
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Github repo
Python implementation to grade automation of exam papers in technical domain with the help of natural language processing algorithms and toolkits include NTLK, word2vec, etc
VisitGithub repo
Code and data for automatic math word problem-solving. It contains the implementation of 3 distinct arithmetic word problem solvers
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Data Sets you can use to build Demos, POCs, or test Algorithms
Eight essay sets. Each set was generated from a single prompt. Selected essays range from an average length of 150 to 550 words per response.
dataset contains 82 mathematical symbols including sum, square root, log, limit, and more, each symbol contains at most 4000 example images
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