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Direct linkLitman, Diane; Zhang, Haoran; Correnti, Richard; Matsumura, Lindsay Clare; Wang, Elaine – Grantee Submission, 2021
Automated Essay Scoring (AES) can reliably grade essays at scale and reduce human effort in both classroom and commercial settings. There are currently three dominant supervised learning paradigms for building AES models: feature-based, neural, and hybrid. While feature-based models are more explainable, neural network models often outperform…
Descriptors: Essays, Writing Evaluation, Models, Accuracy
Haya Shamir; David Pocklington; Kathryn Feehan; Erik Yoder – Online Submission, 2020
This study investigated the impact of a computer-adaptive reading program, Waterford Early Learning (WEL), in an elementary school in Indiana. The study investigated how educational technology, specifically computer-assisted instruction (CAI), would impact the literacy scores of kindergarten students when paired with traditional instruction:…
Descriptors: Computer Assisted Instruction, Teaching Methods, Reading Instruction, Special Education
Klecker, Beverly M.; Klecker, Richard L. – Online Submission, 2015
This study examined equity through the differences average scale scores on the NAEP 2015 12th-grade mathematics test by parents' socioeconomic status (SES) and students' use of graphing calculators in the classroom and while taking the NAEP 2015 assessment. Data were national public composite mathematics 12-grade 2015 NAEP assessment scores. The…
Descriptors: Mathematics Instruction, Graphing Calculators, National Competency Tests, Scores
Reeger, Adam; Gaasedelen, Owen; Welch, Catherine; Dunbar, Stephen – AERA Online Paper Repository, 2016
Student Growth Percentiles (SGPs) are increasingly being used in evaluations of teacher effectiveness. This study investigates two properties of SGPs: 1) SGP sensitivity to reference group characteristics such as sample size, free and reduced lunch (FRL) status, and English language learner (ELL) status; and 2) variation in score changes across…
Descriptors: Teacher Effectiveness, Teacher Evaluation, Accountability, Sample Size
