Content-type: text/html
[] []
Applications of Analytics

Automated Grading

Category: Diagnostic Analytics

There is a large literature devoted to automated grading, beginning with Page (1966), continuing through the Hewlett competition (Kaggle, 2012), and today the technology has at least “developed to the point where the systems provide meaningful feedback on students’ writing and represent a useful complement (not replacement) to human scoring” (Kaja and Bosnic, 2015).

Automated writing evaluation (AWE) has already been tested in language-learning classes and has met with a generally favourable response from students. “The correcting network can effectively help students to improve their English writing. Compared with the traditional teacher marking and giving feedback, it is immediate, clear, and time-saving!” (Lu, 2019).

Automated essay grading is a categorization task; a large number of essays are sorted into categories, labeled with grades, and then a candidate essay is matched to a category, and hence, a grade. However, students report that they would also value feedback on submitted assignments, which requires a more in-depth analysis. (Ifenthaler and Widanapathirana, 2014) It can also be adjusted to reflect required content and feedback based on scoring rubrics, as for example in McGraw-Hill’s used in its Connect digital course materials (Schaffhauser, 2020).

Ultimately, AI could replace grading altogether. Rose Luckin argues, “If technology tracked a student throughout their school days, logging every keystroke, knowledge point and facial twitch, then the perfect record of their abilities on file could make such testing obsolete” (Beard, 2020).

Examples and Articles

A hybrid scheme for Automated Essay Grading based on LVQ and NLP techniques
This paper presents a hybrid approach to an Automated Essay Grading System (AEGS) that provides automated grading and evaluation of student essays. Direct Link

,

Towards artificial intelligence-based assessment systems
‘Stop and test’ assessments do not rigorously evaluate a student's understanding of a topic. Artificial intelligence-based assessment provides constant feedback to teachers, students and parents about how the student learns, the support they need and the progress they are making towards their learning goals. Direct Link

Do you have another example of Automated Grading? Suggest it here

Force:yes