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Anglin, Kylie; Boguslav, Arielle; Hall, Todd – Grantee Submission, 2020
Text classification has allowed researchers to analyze natural language data at a previously impossible scale. However, a text classifier is only as valid as the the annotations on which it was trained. Further, the cost of training a classifier depends on annotators' ability to quickly and accurately apply the coding scheme to each text. Thus,…
Descriptors: Documentation, Natural Language Processing, Classification, Research Design
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Adnane Ez-zizi; Dagmar Divjak; Petar Milin – Language Learning, 2024
Since its first adoption as a computational model for language learning, evidence has accumulated that Rescorla-Wagner error-correction learning (Rescorla & Wagner, 1972) captures several aspects of language processing. Whereas previous studies have provided general support for the Rescorla-Wagner rule by using it to explain the behavior of…
Descriptors: Error Correction, Second Language Learning, Second Language Instruction, Gender Differences
Alex Warstadt – ProQuest LLC, 2022
Data-driven learning uncontroversially plays a role in human language acquisition--how large a role is a matter of much debate. The success of artificial neural networks in NLP in recent years calls for a re-evaluation of our understanding of the possibilities for learning grammar from data alone. This dissertation argues the case for using…
Descriptors: Language Acquisition, Artificial Intelligence, Computational Linguistics, Ethics
Dorottya Demszky; Heather C. Hill; Eric S. Taylor; Ashlee Kupor; Deepak Varuvel Dennison; Chris Piech – Annenberg Institute for School Reform at Brown University, 2025
The role of teacher agency in professional learning has been the subject of several qualitative studies but has not yet been tested in an experimental setting. To provide causal evidence of the impact of teacher agency on the effectiveness of professional learning, we conducted a preregistered randomized controlled trial in an online computer…
Descriptors: Professional Autonomy, Faculty Development, Attribution Theory, Online Courses
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Anglin, Kylie L. – Journal of Research on Educational Effectiveness, 2019
Education researchers have traditionally faced severe data limitations in studying local policy variation; administrative data sets capture only a fraction of districts' policy decisions, and it can be expensive to collect more nuanced implementation data from teachers and leaders. Natural language processing and web-scraping techniques can help…
Descriptors: Natural Language Processing, Educational Policy, Web Sites, Decision Making
Anglin, Kylie L. – Grantee Submission, 2019
Education researchers have traditionally faced severe data limitations in studying local policy variation; administrative datasets capture only a fraction of districts' policy decisions, and it can be expensive to collect more nuanced implementation data from teachers and leaders. Natural language processing and web-scraping techniques can help…
Descriptors: Natural Language Processing, Educational Policy, Web Sites, Decision Making
ElMessiry, Adel Magdi – ProQuest LLC, 2016
Complaining is a fundamental human characteristic that has prevailed throughout the ages. We normally complain about something that went wrong. Patient complaints are no exception; they focus on problems that occurred during the episode of care. The Institute of Medicine estimated that each year thousands of patients die due to medical errors. The…
Descriptors: Patients, Health Services, Medical Services, Hospitals