He advance of artificial intelligence during the last year It’s been amazing, scary, and changing the world. It seems that this is only the tip of the iceberg, since it is unknown to what limits this technology could reach and even if it would be capable of one day surpassing the human being.
This technology aims to optimize repetitive and monotonous tasks of different jobs so that productivity increases. One of these tasks could be to correct exams and this is what the North American state wants to test to help correct a high exam load of its new STAAR system.
Exams corrected by artificial intelligence
According to the medium Texas Tribune, STARR exams are tests designed to measure what students learn in each grade and whether they are ready to move on to the next. The students who show up will be part of the experiment in Texas schools, and their written responses on the state’s standardized tests They will be automatically graded by the AI. This uses natural language processing, a basic component of artificial intelligence chatbots such as GPT-4.
In 2023, for this type of exams They needed about 6,000 temporary workers to correct, while this year, the figure is expected to decrease to less than 2,000. In fact, the technology that will be used to correct the exams will save the state between 15 and 20 million dollars in personnel hiring to correct. The test includes fewer multiple-choice questions and more open-ended questions.
These are known as constructed response elements, which will be corrected by the AI ​​model. After, TEA employees will verify if the scores are correct. In the event that the scoring engine does not understand any of the answers that include words in another language or informal terms, they will be marked by the AI ​​and They will be assigned to a person to evaluate it.
If after taking the exam, a student is not satisfied with their grade, they have the possibility of pay $50 to request a review. Still, this has generated concern among educators and parents due to the influence of machine learning, automation and artificial intelligence.
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