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Yi Gui – ProQuest LLC, 2024
This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…
Descriptors: Writing Tests, Natural Language Processing, Writing Evaluation, Scoring
Neidorf, Teresa; Arora, Alka; Erberber, Ebru; Tsokodayi, Yemurai; Mai, Thanh – International Association for the Evaluation of Educational Achievement, 2020
The International Association for the Evaluation of Educational Achievement (IEA) Research for Education series represents a further effort by IEA to capitalize on it's unique datasets, so as to provide powerful information for policymakers and researchers. Each report focuses on a specific topic and is produced by a dedicated team of leading…
Descriptors: Misconceptions, Mathematical Concepts, Scientific Concepts, Mathematics Instruction
Craig Pournara; Lynn Bowie – South African Journal of Childhood Education, 2023
Background: Poor mathematics performance in South Africa is well known. The COVID-19 pandemic was expected to exacerbate the situation. Aim: To investigate Grade 7 learners' mathematical knowledge at the end of primary school and to compare mathematical performance of Grade 7 and 8 learners in the context of the pandemic. Setting: Data were…
Descriptors: Mathematics Education, Knowledge Level, Grade 7, COVID-19
An, Shuhua; Wu, Zhonghe – International Journal of Science and Mathematics Education, 2012
This study focuses on teacher learning of student thinking through grading homework, assessing and analyzing misconceptions. The data were collected from 10 teachers at fifth-eighth grade levels in the USA. The results show that assessing and analyzing misconceptions from grading homework is an important approach to acquiring knowledge of…
Descriptors: Homework, Grading, Grade 8, Mathematics Teachers