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Jiangang Hao; Alina A. von Davier; Victoria Yaneva; Susan Lottridge; Matthias von Davier; Deborah J. Harris – Educational Measurement: Issues and Practice, 2024
The remarkable strides in artificial intelligence (AI), exemplified by ChatGPT, have unveiled a wealth of opportunities and challenges in assessment. Applying cutting-edge large language models (LLMs) and generative AI to assessment holds great promise in boosting efficiency, mitigating bias, and facilitating customized evaluations. Conversely,…
Descriptors: Evaluation Methods, Artificial Intelligence, Educational Change, Computer Software
Lawrence Ingvarson; Hilary Hollingsworth – Australian Council for Educational Research, 2023
In December 2022, federal, state and territory education ministers released a National Teacher Workforce Action Plan to improve teacher supply and retention in the profession. While recognising the important role that Highly Accomplished and Lead Teacher (HALT) certification could play, the plan also recognised that the current approach to…
Descriptors: Foreign Countries, Teacher Supply and Demand, Teacher Persistence, Faculty Workload
Porter, Kristin E.; Balu, Rekha – MDRC, 2016
Education systems are increasingly creating rich, longitudinal data sets with frequent, and even real-time, data updates of many student measures, including daily attendance, homework submissions, and exam scores. These data sets provide an opportunity for district and school staff members to move beyond an indicators-based approach and instead…
Descriptors: Models, Prediction, Statistical Analysis, Elementary Secondary Education
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Rose, Carolyn; Wang, Yi-Chia; Cui, Yue; Arguello, Jaime; Stegmann, Karsten; Weinberger, Armin; Fischer, Frank – International Journal of Computer-Supported Collaborative Learning, 2008
In this article we describe the emerging area of text classification research focused on the problem of collaborative learning process analysis both from a broad perspective and more specifically in terms of a publicly available tool set called TagHelper tools. Analyzing the variety of pedagogically valuable facets of learners' interactions is a…
Descriptors: Language Patterns, Computational Linguistics, Classification, Learning Processes
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Dana-Picard, Thierry – International Journal for Technology in Mathematics Education, 2005
A mathematician's work consists of proving theorems, calculating, and making mathematics understandable. An assistant for all three components is a Computer Algebra System. We describe and discuss various CAS-assisted processes for proving theorems, and discuss the constraints which can appear regarding efficiency, confidence in the result and…
Descriptors: Algebra, Mathematics Instruction, Validity, Mathematical Logic