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Automated Grading Using Generative AI /
~
Downes, Thomas,
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Automated Grading Using Generative AI /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Automated Grading Using Generative AI // Thomas Downes.
Author:
Downes, Thomas,
Description:
1 electronic resource (45 pages)
Notes:
Source: Masters Abstracts International, Volume: 86-03.
Contained By:
Masters Abstracts International86-03.
Subject:
Software. -
Online resource:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31357978
ISBN:
9798384336969
Automated Grading Using Generative AI /
Downes, Thomas,
Automated Grading Using Generative AI /
Thomas Downes. - 1 electronic resource (45 pages)
Source: Masters Abstracts International, Volume: 86-03.
Recent innovations in AI have enabled a wide array of new applications to improve human lives and productivity. These innovations enable the automation of mundane, and repetitive tasks to an extent never before seen. In this work we leverage this technology to create a system which can automate the time-consuming task of grading student homework submis- sions, while also maintaining a level of quality that students expect. To aid instruction, the system also provides a summary of common mistakes made by students and for students it provides individualized written feedback intended to improve learning outcomes, all while reducing the grading workload for instructors.In addition to developing the system, we used real student data to evaluate the efficacy and acceptance of the system. This began with using the system to grade student sub- missions from archived semesters, and comparing the grades assigned by the TA and our system. Next we had students in current courses engage with the system with their current assignments. Students were provided with written feedback shortly after submitting their homework assignment, and asked to rate how useful they found the feedback. This feedback was chosen randomly from either the TA or the automatic grading system. Our results show that the system is capable of automatically grading student submissions with a quality comparable to a human grader, and provides feedback that students found helpful.
English
ISBN: 9798384336969Subjects--Topical Terms:
619355
Software.
Automated Grading Using Generative AI /
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Recent innovations in AI have enabled a wide array of new applications to improve human lives and productivity. These innovations enable the automation of mundane, and repetitive tasks to an extent never before seen. In this work we leverage this technology to create a system which can automate the time-consuming task of grading student homework submis- sions, while also maintaining a level of quality that students expect. To aid instruction, the system also provides a summary of common mistakes made by students and for students it provides individualized written feedback intended to improve learning outcomes, all while reducing the grading workload for instructors.In addition to developing the system, we used real student data to evaluate the efficacy and acceptance of the system. This began with using the system to grade student sub- missions from archived semesters, and comparing the grades assigned by the TA and our system. Next we had students in current courses engage with the system with their current assignments. Students were provided with written feedback shortly after submitting their homework assignment, and asked to rate how useful they found the feedback. This feedback was chosen randomly from either the TA or the automatic grading system. Our results show that the system is capable of automatically grading student submissions with a quality comparable to a human grader, and provides feedback that students found helpful.
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https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31357978
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