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Sinharay, Sandip; Zhang, Mo; Deane, Paul – Applied Measurement in Education, 2019
Analysis of keystroke logging data is of increasing interest, as evident from a substantial amount of recent research on the topic. Some of the research on keystroke logging data has focused on the prediction of essay scores from keystroke logging features, but linear regression is the only prediction method that has been used in this research.…
Descriptors: Scores, Prediction, Writing Processes, Data Analysis
Choi, Ikkyu; Hao, Jiangang; Deane, Paul; Zhang, Mo – ETS Research Report Series, 2021
"Biometrics" are physical or behavioral human characteristics that can be used to identify a person. It is widely known that keystroke or typing dynamics for short, fixed texts (e.g., passwords) could serve as a behavioral biometric. In this study, we investigate whether keystroke data from essay responses can lead to a reliable…
Descriptors: Accuracy, High Stakes Tests, Writing Tests, Benchmarking
Deane, Paul; Song, Yi; van Rijn, Peter; O'Reilly, Tenaha; Fowles, Mary; Bennett, Randy; Sabatini, John; Zhang, Mo – Reading and Writing: An Interdisciplinary Journal, 2019
This paper presents a theoretical and empirical case for the value of scenario-based assessment (SBA) in the measurement of students' written argumentation skills. First, we frame the problem in terms of creating a reasonably efficient method of evaluating written argumentation skills, including for students at relatively low levels of competency.…
Descriptors: Vignettes, Writing Skills, Persuasive Discourse, Writing Evaluation