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Jure Žabkar; Tajda Urankar; Karmen Javornik; Milena Košak Babuder – Center for Educational Policy Studies Journal, 2023
Measurement of readability is an important tool for assessing reading disorders such as dyslexia. Among the screening procedures for dyslexia is the reading fluency test, which is defined as the ability to read with speed, accuracy and proper expression. The reading fluency test often consists of a sequence of unrelated written texts ranging from…
Descriptors: Foreign Countries, Dyslexia, Elementary School Students, Grade 3
Patel, Nirmal; Nagpal, Pooja; Shah, Tirth; Sharma, Aditya; Malvi, Shrey; Lomas, Derek – Journal of Computer Assisted Learning, 2023
Background: Readability metrics provide us with an objective and efficient way to assess the quality of educational texts. We can use the readability measures for finding assessment items that are difficult to read for a given grade level. Hard-to-read math word problems can put some students at a disadvantage if they are behind in their literacy…
Descriptors: Mathematics Tests, Readability, Word Problems (Mathematics), Mathematics Achievement
Rose E. Wang; Ana T. Ribeiro; Carly D. Robinson; Susanna Loeb; Dorottya Demszky – Annenberg Institute for School Reform at Brown University, 2024
Generative AI, particularly Language Models (LMs), has the potential to transform real-world domains with societal impact, particularly where access to experts is limited. For example, in education, training novice educators with expert guidance is important for effectiveness but expensive, creating significant barriers to improving education…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Tutors, Elementary School Students
Lee, JiHye; Lee, Hyun-Kyung; Jeong, Dabin; Lee, JiEun; Kim, TaeRyun; Lee, JiHyon – International Journal of Art & Design Education, 2021
Traditional museums of culture and history are failing to develop or make effective use of augmented reality (AR) technology. To address this deficit, the present study sought to develop online and offline experiential AR learning tools that would enable children to more fully explore museum artefacts. The study approach was based on the Blended…
Descriptors: Museums, Cultural Education, Computer Simulation, History Instruction
L. Hannah; E. E. Jang; M. Shah; V. Gupta – Language Assessment Quarterly, 2023
Machines have a long-demonstrated ability to find statistical relationships between qualities of texts and surface-level linguistic indicators of writing. More recently, unlocked by artificial intelligence, the potential of using machines to identify content-related writing trait criteria has been uncovered. This development is significant,…
Descriptors: Validity, Automation, Scoring, Writing Assignments