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Stefan Ruseti; Ionut Paraschiv; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
Automated Essay Scoring (AES) is a well-studied problem in Natural Language Processing applied in education. Solutions vary from handcrafted linguistic features to large Transformer-based models, implying a significant effort in feature extraction and model implementation. We introduce a novel Automated Machine Learning (AutoML) pipeline…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essays
Stefan Ruseti; Ionut Paraschiv; Mihai Dascalu; Danielle S. McNamara – International Journal of Artificial Intelligence in Education, 2024
Automated Essay Scoring (AES) is a well-studied problem in Natural Language Processing applied in education. Solutions vary from handcrafted linguistic features to large Transformer-based models, implying a significant effort in feature extraction and model implementation. We introduce a novel Automated Machine Learning (AutoML) pipeline…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essays
Talento-Miller, Eileen; Guo, Fanmin; Han, Kyung T. – Graduate Management Admission Council, 2012
When power tests include a time limit, it is important to assess the possibility of "speededness" for examinees. Research on differential speededness in the past has included looking at gender and ethnic subgroups in the United States on paper and pencil tests. The needs of a global audience necessitated, and the availability of computer…
Descriptors: College Entrance Examinations, Graduate Study, Business Administration Education, Timed Tests