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Yiling Cheng; I-Chien Chen; Barbara Schneider; Mark Reckase; Joseph Krajcik – Applied Measurement in Education, 2024
The current study expands on previous research on gender differences and similarities in science test scores. Using three different approaches -- differential item functioning, differential distractor functioning, and decision tree analysis -- we examine a high school science assessment administered to 3,849 10th-12th graders, of whom 2,021 are…
Descriptors: Gender Differences, Science Achievement, Responses, Testing
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
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Pournara, Craig; Hodgen, Jeremy; Sanders, Yvonne; Adler, Jill – Pythagoras, 2016
It is well known that learner performance in mathematics in South Africa is poor. However, less is known about what learners actually do and the extent to which this changes as they move through secondary school mathematics. In this study a cohort of 250 learners was tracked from Grade 9 to Grade 11 to investigate changes in their performance on a…
Descriptors: Secondary School Mathematics, Algebra, Grade 9, Grade 10
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Paz-Baruch, Nurit; Leikin, Roza; Leikin, Mark – Journal for the Education of the Gifted, 2016
Little empirical data are available concerning the cognitive abilities of gifted individuals in general and especially those who excel in mathematics. We examined visual processing abilities distinguishing between general giftedness (G) and excellence in mathematics (EM). The research population consisted of 190 students from four groups of 10th-…
Descriptors: Academically Gifted, Adolescents, Visual Perception, Cognitive Ability