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Evans, William S.; Hula, William D.; Quique, Yina; Starns, Jeffrey J. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Aphasia is a language disorder caused by acquired brain injury, which generally involves difficulty naming objects. Naming ability is assessed by measuring picture naming, and models of naming performance have mostly focused on accuracy and excluded valuable response time (RT) information. Previous approaches have therefore ignored the…
Descriptors: Aphasia, Pictorial Stimuli, Brain, Injuries
Lee, June Y.; Patel, Sheetal J. – Industry and Higher Education, 2020
With a changing landscape of higher education institutions (HEIs), the authors explore the concepts of a platform business model in the context of university career services. Through an inductive, multiyear case study of an HEI, this study analyzes how university career services can innovate and transform by operating as a platform. This…
Descriptors: Student Personnel Services, Career Centers, Models, Innovation
Rao, Dhawaleswar; Saha, Sujan Kumar – IEEE Transactions on Learning Technologies, 2020
Automatic multiple choice question (MCQ) generation from a text is a popular research area. MCQs are widely accepted for large-scale assessment in various domains and applications. However, manual generation of MCQs is expensive and time-consuming. Therefore, researchers have been attracted toward automatic MCQ generation since the late 90's.…
Descriptors: Multiple Choice Tests, Test Construction, Automation, Computer Software
Dickes, Amanda Catherine; Farris, Amy Voss; Sengupta, Pratim – Journal of Science Education and Technology, 2020
In recent years, the field of education has challenged researchers and practitioners to incorporate computing as an essential focus of K-12 STEM education. Integrating computing within K-12 STEM supports learners of all ages in codeveloping and using computational thinking in existing curricular contexts alongside practices essential for…
Descriptors: Elementary School Science, Coding, STEM Education, Computer Science Education
Carvalho, Luís Miguel; Costa, Estela; Sant'Ovaia, Carlos – European Educational Research Journal, 2020
This article analyses the trajectory of national testing in Portugal between the early 1990s and 2015 in order to unveil continuities and changes in the regulatory processes of education in Portugal, particularly the emergence of results-based coordination and control methods. Drawing on legislative materials, it identifies and describes the…
Descriptors: Foreign Countries, Standardized Tests, National Standards, Accountability
Shi, Dexin; Maydeu-Olivares, Alberto – Educational and Psychological Measurement, 2020
We examined the effect of estimation methods, maximum likelihood (ML), unweighted least squares (ULS), and diagonally weighted least squares (DWLS), on three population SEM (structural equation modeling) fit indices: the root mean square error of approximation (RMSEA), the comparative fit index (CFI), and the standardized root mean square residual…
Descriptors: Structural Equation Models, Computation, Maximum Likelihood Statistics, Least Squares Statistics
Palts, Tauno; Pedaste, Margus – Informatics in Education, 2020
Computer science concepts have an important part in other subjects and thinking computationally is being recognized as an important skill for everyone, which leads to the increasing interest in developing computational thinking (CT) as early as at the comprehensive school level. Therefore, research is needed to have a common understanding of CT…
Descriptors: Models, Skill Development, Computation, Thinking Skills
DeBaylo, Paige; Hutchins, Shaun D. – Online Submission, 2020
This document describes PPfT school-wide value-added measure by showing how to gain access to your SAS Education Value-Added Assessment System (EVAAS) account, stepping through the school growth measures, and discussing how growth is scored in PPfT appraisal.
Descriptors: School Districts, Value Added Models, Teacher Effectiveness, Teacher Evaluation
Nizam, Ali – International Journal of Information and Learning Technology, 2020
Purpose: Increasing flexibility and student mobility are among the most important objectives of today's universities. The purpose of this paper is to discuss the effects of student exchange process (SEP) on a campus management system (CMS), compare different models and recommend an improvement handling transfer process.…
Descriptors: Student Mobility, Transfer Policy, College Credits, College Transfer Students
Ladner, Matthew – American Enterprise Institute, 2020
The American K-12 system had serious problems even before the pandemic. Teachers were frustrated, and students suffered growing levels of anxiety and depression, not to mention the downward academic achievement trends of the past decade. A set of promising new schooling techniques has gained traction during the pandemic, which could bring joy back…
Descriptors: Teaching Methods, Distance Education, Pandemics, COVID-19
Patnaik, Arpita; Venator, Joanna; Wiswall, Matthew; Zafar, Basit – National Bureau of Economic Research, 2020
In this paper, we estimate a rich model of college major choice using a panel of experimentally-derived data. Our estimation strategy combines two types of data: data on self-reported beliefs about future earnings from potential human capital decisions and survey-based measures of risk and time preferences. We show how to use these data to…
Descriptors: College Students, Majors (Students), Decision Making, Risk
Marx, T.; Klein, E.; Colpo, A.; Walden-Doppke, M.; Reinhardt, E.; Butler, C. – National Center on Intensive Intervention, 2020
Broadly defined, coaching is "a form of professional learning within the classroom or school that helps [educators] develop and apply new knowledge, make strong plans for instruction and assessment, obtain feedback, refine their practices, and examine results" (The University of Florida Lastinger Center for Learning, Learning Forward,…
Descriptors: Coaching (Performance), Professional Development, Models, Intervention
Singh, Malkeet; Dunn, Hugh H. – AERA Online Paper Repository, 2020
This paper will demonstrate how we used state-level longitudinal data to model reading growth trajectories. Using data from large scale assessments that were vertically linked across grades in Hawaii, we utilized a multilevel regression framework to develop growth models to study students' reading performance trajectories during their elementary…
Descriptors: Reading Achievement, Elementary School Students, Student Characteristics, Models
Olga Gould-Yakovleva; Mary McVee; David Fronczak – Online Submission, 2020
This qualitative telling case study was situated within a broader project, which explored how the research participants modified their teaching after having completed their master's program. We investigated reflective stance of a teacher-practitioner who was a graduate of a Master's Literacy Specialist program, which promoted reflective teaching…
Descriptors: Reflective Teaching, Teaching Methods, Faculty Development, Teacher Improvement
Morgan A. Eldridge; Lyndsay N. Jenkins – International Journal of Bullying Prevention, 2020
Bullying, both traditional and cyber, has been associated with several negative outcomes for students, but when bystanders (such as peers or adults) intervene, bullying will often decrease or stop. Teachers are especially important adult bystanders because they are more likely than parents to witness or hear about bullying, especially bullying…
Descriptors: Prosocial Behavior, Intervention, Bullying, Models

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