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Doewes, Afrizal; Kurdhi, Nughthoh Arfawi; Saxena, Akrati – International Educational Data Mining Society, 2023
Automated Essay Scoring (AES) tools aim to improve the efficiency and consistency of essay scoring by using machine learning algorithms. In the existing research work on this topic, most researchers agree that human-automated score agreement remains the benchmark for assessing the accuracy of machine-generated scores. To measure the performance of…
Descriptors: Essays, Writing Evaluation, Evaluators, Accuracy
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Zhang, Mengxue; Heffernan, Neil; Lan, Andrew – International Educational Data Mining Society, 2023
Automated scoring of student responses to open-ended questions, including short-answer questions, has great potential to scale to a large number of responses. Recent approaches for automated scoring rely on supervised learning, i.e., training classifiers or fine-tuning language models on a small number of responses with human-provided score…
Descriptors: Scoring, Computer Assisted Testing, Mathematics Instruction, Mathematics Tests
Manalo, Jonathan R.; Wolfe, Edward W. – 2000
Recently, the Test of English as a Foreign Language (TOEFL) changed by including a writing section that gives the examinee an option between computer and handwritten formats to compose their responses. Unfortunately, this may introduce several potential sources of error that might reduce the reliability and validity of the scores. The seriousness…
Descriptors: Computer Assisted Testing, Essay Tests, Evaluators, Handwriting
Page, Ellis B.; Poggio, John P.; Keith, Timothy Z. – 1997
Most human gradings of essays are holistic, or "overall." Therefore, Project Essay Grade (PEG), an attempt to develop computerized grading of essays, has concentrated most of its research on overall grading. It has successfully simulated human judges. However, since computer grading is less expensive than human grading, PEG has also…
Descriptors: Computer Assisted Testing, Elementary Secondary Education, Essays, Evaluators
Cramer, Stephen E. – 1990
A standard-setting procedure was developed for the Georgia Teacher Certification Testing Program as tests in 30 teaching fields were revised. A list of important characteristics of a standard-setting procedure was derived, drawing on the work of R. A. Berk (1986). The best method was found to be a highly formalized judgmental, empirical Angoff…
Descriptors: Computer Assisted Testing, Cutting Scores, Data Collection, Elementary Secondary Education
Solano-Flores, Guillermo; Raymond, Bruce; Schneider, Steven A. – 1997
The need for effective ways of monitoring the quality of scoring of portfolios resulted in the development of a software package that provides scoring leaders with updated information on their assessors' scoring quality. Assessors with computers enter data as they score, and this information is analyzed and reported to scoring leaders. The…
Descriptors: Art Teachers, Computer Assisted Testing, Computer Software, Computer Software Evaluation