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Download full textAllen, Laura K.; Crossley, Scott A.; McNamara, Danielle S. – Grantee Submission, 2015
We investigated linguistic factors that relate to misalignment between students' and teachers' ratings of essay quality. Students (n = 126) wrote essays and rated the quality of their work. Teachers then provided their own ratings of the essays. Results revealed that students who were less accurate in their self-assessments produced essays that…
Descriptors: Essays, Scores, Natural Language Processing, Interrater Reliability
Direct linkWay, Walter D.; Murphy, Daniel; Powers, Sonya; Keng, Leslie – Pearson, 2012
Significant momentum exists for next-generation assessments to increasingly utilize technology to develop and deliver performance-based assessments. Many traditional challenges with this assessment approach still apply, including psychometric concerns related to performance-based tasks (PBTs), which include low reliability, efficiency of…
Descriptors: Task Analysis, Performance Based Assessment, Technology Uses in Education, Models
Pardos, Zachary A.; Heffernan, Neil T. – International Working Group on Educational Data Mining, 2009
Researchers who make tutoring systems would like to know which sequences of educational content lead to the most effective learning by their students. The majority of data collected in many ITS systems consist of answers to a group of questions of a given skill often presented in a random sequence. Following work that identifies which items…
Descriptors: Data Analysis, Bayesian Statistics, Statistical Analysis, Problem Sets
