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Direct linkNicolay, Björn; Krieger, Florian; Stadler, Matthias; Vainikainen, Mari-Pauliina; Lindner, Marlit Annalena; Hansen, Anne; Greiff, Samuel – Metacognition and Learning, 2022
The ability to solve complex problems successfully represents a key competence for students' educational success and beyond. While strategy application and metastrategic knowledge constitute two underlying components that drive successful complex problem solving (CPS), little is known about how these two facets develop individually and jointly in…
Descriptors: Metacognition, Problem Solving, Cognitive Processes, Cognitive Style
Download full textJames, Syretta R.; Liu, Shihching Jessica; Maina, Nyambura; Wade, Julie; Wang, Helen; Wilson, Heather; Wolanin, Natalie – Montgomery County Public Schools, 2021
The impact of the COVID-19 pandemic continues to overwhelm the functioning and outcomes of educational systems throughout the nation. The public education system is under particular scrutiny given that students, families, and educators are under considerable stress to maintain academic progress. Since the beginning of the crisis, school-systems…
Descriptors: Achievement Tests, COVID-19, Pandemics, Public Schools
Liu, Junhui; Brown, Terran; Chen, Jianshen; Ali, Usama; Hou, Likun; Costanzo, Kate – Partnership for Assessment of Readiness for College and Careers, 2016
The Partnership for Assessment of Readiness for College and Careers (PARCC) is a state-led consortium working to develop next-generation assessments that more accurately, compared to previous assessments, measure student progress toward college and career readiness. The PARCC assessments include both English Language Arts/Literacy (ELA/L) and…
Descriptors: Testing, Achievement Tests, Test Items, Test Bias
Steedle, Jeffrey; McBride, Malena; Johnson, Marc; Keng, Leslie – Partnership for Assessment of Readiness for College and Careers, 2016
The first operational administration of the Partnership for Assessment of Readiness for College and Careers (PARCC) took place during the 2014-2015 school year. In addition to the traditional paper-and-pencil format, the assessments were available for administration on a variety of electronic devices, including desktop computers, laptop computers,…
Descriptors: Computer Assisted Testing, Difficulty Level, Test Items, Scores
Madnani, Nitin; Burstein, Jill; Sabatini, John; O'Reilly, Tenaha – Grantee Submission, 2013
We introduce a cognitive framework for measuring reading comprehension that includes the use of novel summary-writing tasks. We derive NLP features from the holistic rubric used to score the summaries written by students for such tasks and use them to design a preliminary, automated scoring system. Our results show that the automated approach…
Descriptors: Computer Assisted Testing, Scoring, Writing Evaluation, Reading Comprehension
