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Holmes, Langdon; Crossley, Scott; Sikka, Harshvardhan; Morris, Wesley – Information and Learning Sciences, 2023
Purpose: This study aims to report on an automatic deidentification system for labeling and obfuscating personally identifiable information (PII) in student-generated text. Design/methodology/approach: The authors evaluate the performance of their deidentification system on two data sets of student-generated text. Each data set was human-annotated…
Descriptors: Open Source Technology, Automation, Identification, Confidentiality
Bulut, Okan; Yildirim-Erbasli, Seyma Nur – International Journal of Assessment Tools in Education, 2022
Reading comprehension is one of the essential skills for students as they make a transition from learning to read to reading to learn. Over the last decade, the increased use of digital learning materials for promoting literacy skills (e.g., oral fluency and reading comprehension) in K-12 classrooms has been a boon for teachers. However, instant…
Descriptors: Reading Comprehension, Natural Language Processing, Artificial Intelligence, Automation
Madnani, Nitin; Cahill, Aoife; Blanchard, Daniel; Andreyev, Slava; Napolitano, Diane; Gyawali, Binod; Heilman, Michael; Lee, Chong Min; Leong, Chee Wee; Mulholland, Matthew; Riordan, Brian – ETS Research Report Series, 2018
We present a microservice architecture for large-scale automated scoring applications. Our architecture builds on the open-source Apache Storm framework and facilitates the development of robust, scalable automated scoring applications that can easily be extended and customized. We demonstrate our architecture with an application for automated…
Descriptors: Automation, Scoring, Computer System Design, Open Source Technology
Daniels, Paul – TESL-EJ, 2022
This paper compares the speaking scores generated by two online systems that are designed to automatically grade student speech and provide personalized speaking feedback in an EFL context. The first system, "Speech Assessment for Moodle" ("SAM"), is an open-source solution developed by the author that makes use of Google's…
Descriptors: Speech Communication, Auditory Perception, Computer Uses in Education, Computer Assisted Testing
Hussein, Mohammed Juned; Yusuf, Javed; Deb, Arpana Sandhya; Fong, Letila; Naidu, Som – Open Praxis, 2020
COVID-19 is hastening the adoption of online learning and teaching worldwide, and across all levels of education. While many of the typical learning and teaching transactions such as lecturing and communicating are easily handled by contemporary online learning technologies, others, such as assessment of learning outcomes with closed book…
Descriptors: Computer Assisted Testing, Computer Software Evaluation, Supervision, Distance Education
Ramanarayanan, Vikram; Lange, Patrick; Evanini, Keelan; Molloy, Hillary; Tsuprun, Eugene; Qian, Yao; Suendermann-Oeft, David – ETS Research Report Series, 2017
Predicting and analyzing multimodal dialog user experience (UX) metrics, such as overall call experience, caller engagement, and latency, among other metrics, in an ongoing manner is important for evaluating such systems. We investigate automated prediction of multiple such metrics collected from crowdsourced interactions with an open-source,…
Descriptors: Automation, Prediction, Man Machine Systems, Open Source Technology