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Santi Lestari – Research Matters, 2024
Despite the increasing ubiquity of computer-based tests, many general qualifications examinations remain in a paper-based mode. Insufficient and unequal digital provision across schools is often identified as a major barrier to a full adoption of computer-based exams for general qualifications. One way to overcome this barrier is a gradual…
Descriptors: Keyboarding (Data Entry), Handwriting, Test Format, Comparative Analysis
Bennett, Randy E.; Zhang, Mo; Sinharay, Sandip; Guo, Hongwen; Deane, Paul – Educational Measurement: Issues and Practice, 2022
Grouping individuals according to a set of measured characteristics, or profiling, is frequently used in describing, understanding, and acting on a phenomenon. The advent of computer-based assessment offers new possibilities for profiling writing because aspects can be captured that were not heretofore observable. We explored whether writing…
Descriptors: Computer Assisted Testing, Adults, High School Equivalency Programs, Tests
Yang Jiang; Mo Zhang; Jiangang Hao; Paul Deane; Chen Li – Journal of Educational Measurement, 2024
The emergence of sophisticated AI tools such as ChatGPT, coupled with the transition to remote delivery of educational assessments in the COVID-19 era, has led to increasing concerns about academic integrity and test security. Using AI tools, test takers can produce high-quality texts effortlessly and use them to game assessments. It is thus…
Descriptors: Integrity, Artificial Intelligence, Technology Uses in Education, Ethics
Choi, Ikkyu; Deane, Paul – Language Assessment Quarterly, 2021
Keystroke logs provide a comprehensive record of observable writing processes. Previous studies examining the keystroke logs of young L1 English writers performing experimental writing tasks have identified writing processes features predictive of the quality of responses. Contrarily, large-scale studies on the dynamic and temporal nature of L2…
Descriptors: Writing Processes, Writing Evaluation, Computer Assisted Testing, Learning Analytics
Davoodifard, Mahshad – Studies in Applied Linguistics & TESOL, 2022
Over the past 40 years, second language educators and assessors have come to the realization that investigating the process of writing can shed light on language teaching, learning and assessment practices (Odendahl & Deane, 2018). What L2 writers do and think while writing can provide links between the task, the related construct and the…
Descriptors: Writing Processes, Accuracy, Teaching Methods, Writing Instruction
Conijn, Rianne; Martinez-Maldonado, Roberto; Knight, Simon; Buckingham Shum, Simon; Van Waes, Luuk; van Zaanen, Menno – Computer Assisted Language Learning, 2022
Current writing support tools tend to focus on assessing final or intermediate products, rather than the writing process. However, sensing technologies, such as keystroke logging, can enable provision of automated feedback during, and on aspects of, the writing process. Despite this potential, little is known about the critical indicators that can…
Descriptors: Automation, Feedback (Response), Writing Evaluation, Learning Analytics
Zhang, Mo; Bennett, Randy E.; Deane, Paul; van Rijn, Peter W. – Educational Measurement: Issues and Practice, 2019
This study compared gender groups on the processes used in writing essays in an online assessment. Middle-school students from four grades responded to essays in two persuasive subgenres, argumentation and policy recommendation. Writing processes were inferred from four indicators extracted from students' keystroke logs. In comparison to males, on…
Descriptors: Gender Differences, Essays, Computer Assisted Testing, Persuasive Discourse
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
Michel, Marije; Révész, Andrea; Lu, Xiaojun; Kourtali, Nektaria-Efstathia; Lee, Minjin; Borges, Lais – Second Language Research, 2020
Most research into second language (L2) writing has focused on the products of writing tasks; much less empirical work has examined the behaviours in which L2 writers engage and the cognitive processes that underlie writing behaviours. We aimed to fill this gap by investigating the extent to which writing speed fluency, pausing, eye-gaze…
Descriptors: Second Language Learning, Writing Processes, Cognitive Processes, Writing Skills
Tate, Tamara P.; Warschauer, Mark – Technology, Knowledge and Learning, 2019
The quality of students' writing skills continues to concern educators. Because writing is essential to success in both college and career, poor writing can have lifelong consequences. Writing is now primarily done digitally, but students receive limited explicit instruction in digital writing. This lack of instruction means that students fail to…
Descriptors: Writing Tests, Computer Assisted Testing, Writing Skills, Writing Processes
Jin, Yan; Yan, Ming – Language Assessment Quarterly, 2017
One major threat to validity in high-stakes testing is construct-irrelevant variance. In this study we explored whether the transition from a paper-and-pencil to a computer-based test mode in a high-stakes test in China, the College English Test, has brought about variance irrelevant to the construct being assessed in this test. Analyses of the…
Descriptors: Writing Tests, Computer Assisted Testing, Computer Literacy, Construct Validity
Tsai, Shu-Chiao – Computer Assisted Language Learning, 2019
This study investigates the impact on extemporaneous English-language first drafts by using Google Translate (GT) in three different tasks assigned to Chinese sophomore, junior, and senior students of English as a Foreign Language (EFL) majoring in English. Students wrote first in Chinese (Step 1), then drafted corresponding texts in English (Step…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Khuder, Baraa; Harwood, Nigel – Written Communication, 2019
This mixed-methods study investigates writers' task representation and the factors affecting it in test-like and non-test-like conditions. Five advanced-level L2 writers wrote two argumentative essays each, one in test-like conditions and the other in non-test-like conditions where the participants were allowed to use all the time and online…
Descriptors: Second Language Learning, Task Analysis, Advanced Students, Essays
Revesz, Andrea; Michel, Marije; Lee, Minjin – Studies in Second Language Acquisition, 2019
This study investigated the cognitive processes underlying pauses at different textual locations (e.g., within/between words) and various levels of revision (e.g., below word/clause). We used stimulated recall, keystroke logging, and eye-tracking methodology in combination to examine pausing and revision behaviors. Thirty advanced Chinese L2 users…
Descriptors: Writing Processes, Revision (Written Composition), English (Second Language), Language Tests
Zou, Xiao-Ling; Chen, Yan-Min – Technology, Pedagogy and Education, 2016
The effects of computer and paper test media on EFL test-takers with different computer familiarity in writing scores and in the cognitive writing process have been comprehensively explored from the learners' aspect as well as on the basis of related theories and practice. The results indicate significant differences in test scores among the…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Test Format
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