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Qiwei He; Qingzhou Shi; Elizabeth L. Tighe – Grantee Submission, 2023
Increased use of computer-based assessments has facilitated data collection processes that capture both response product data (i.e., correct and incorrect) and response process data (e.g., time-stamped action sequences). Evidence suggests a strong relationship between respondents' correct/incorrect responses and their problem-solving proficiency…
Descriptors: Artificial Intelligence, Problem Solving, Classification, Data Use
Samuel L. Tunstall – Numeracy, 2020
A tension raised in recent scholarship is that between numeracy as a social practice and numeracy as a functional skill set. Such frameworks for conceptualizing numeracy pose a challenge to assessment because what individuals do with numeracy is not the same as what individuals can do (or express) in an assessment setting. This study builds on…
Descriptors: Numeracy, Test Validity, Adults, Measurement
Durda, Tabea; Artelt, Cordula; Lechner, Clemens M.; Rammstedt, Beatrice; Wicht, Alexandra – International Review of Education, 2020
Low literacy among adolescents and adults worldwide remains a serious problem, even in economically developed countries. The consequences of low reading proficiency levels can be harmful in many ways for both the individuals concerned and their communities in terms of health, political, social and economic outcomes. While large-scale international…
Descriptors: Reading Achievement, Reading Skills, Low Achievement, Adolescents
André A. Rupp; Laura Pinsonneault – National Center for the Improvement of Educational Assessment, 2025
State education agencies are sitting on rich repositories of quantitative and qualitative assessment data. This document is designed to provide a conceptual framework and implementation guidance that can help agency leadership leverage and interrogate student performance data in systematic ways for reporting, outreach, and planning purposes. The…
Descriptors: Evaluation Methods, Educational Assessment, Achievement Tests, College Entrance Examinations
Golumbic, Yaela N.; Fishbain, Barak; Baram-Tsabari, Ayelet – International Journal of Science Education, Part B: Communication and Public Engagement, 2020
Citizen science is transforming the ways scientific knowledge is created, in that citizens participate in active scientific research, and large scientific databases can be accessed online. However, data availability does not guarantee public use or the relevance of these resources. This paper addresses the ways in which non-expert adults involved…
Descriptors: Scientific Literacy, Data Interpretation, Data Use, Lay People
Glancey, Kathleen – Council for Adult and Experiential Learning, 2018
The adult learner is often defined by age (25 years or older) as an easy way to distinguish this group from students who head to college straight out of high school. But age is insufficient as a defining factor. The growing popularity of other terms like nontraditional student--and more recently, terms like post-traditional student or today's…
Descriptors: Student School Relationship, Nontraditional Students, Data Use, Program Effectiveness
Interagency Autism Coordinating Committee, 2023
Each year, the Interagency Autism Coordinating Committee (IACC) releases a list of scientific advances that represent significant progress in the field of autism research. The "Summary of Advances" provides short, plain language summaries of the top research breakthroughs selected by the IACC from a pool of research articles nominated by…
Descriptors: Autism Spectrum Disorders, Research, Screening Tests, Clinical Diagnosis
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use

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