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McVee, Mary, Ed.; Ortlieb, Evan, Ed.; Reichenberg, Jennifer, Ed.; Pearson, P. David, Ed. – Literacy Research, Practice and Evaluation, 2019
Educators are always in search of approaches that promote student development and academic achievement. Engaging learners in purposeful instruction in skills and strategies is a cornerstone in every classroom. The gradual release of responsibility (GRR) model requires the responsibility of learning to shift from being teacher-centric towards…
Descriptors: Student Centered Learning, Evidence Based Practice, Models, Educational Practices
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Schack, Edna O.; Dueber, David; Thomas, Jonathan Norris; Fisher, Molly H.; Jong, Cindy – AERA Online Paper Repository, 2019
Scoring of teachers' noticing responses is typically burdened with rater bias and reliance upon interrater consensus. The authors sought to make the scoring process more objective, equitable, and generalizable. The development process began with a description of response characteristics for each professional noticing component disconnected from…
Descriptors: Models, Teacher Evaluation, Observation, Bias
Banerjee, Abhijit; Breza, Emily; Chandrasekhar, Arun G.; Mobius, Markus – National Bureau of Economic Research, 2019
The DeGroot model has emerged as a credible alternative to the standard Bayesian model for studying learning on networks, offering a natural way to model naive learning in a complex setting. One unattractive aspect of this model is the assumption that the process starts with every node in the network having a signal. We study a natural extension…
Descriptors: Alternative Assessment, Bayesian Statistics, Incidental Learning, Networks
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Abdi, Solmaz; Khosravi, Hassan; Sadiq, Shazia; Gasevic, Dragan – International Educational Data Mining Society, 2019
The Elo rating system has been recognised as an effective method for modelling students and items within adaptive educational systems. The existing Elo-based models have the limiting assumption that items are only tagged with a single concept and are mainly studied in the context of adaptive testing systems. In this paper, we introduce a…
Descriptors: Models, Foreign Countries, College Students, Multivariate Analysis
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Arthurs, Noah; Stenhaug, Ben; Karayev, Sergey; Piech, Chris – International Educational Data Mining Society, 2019
Understanding exam score distributions has implications for item response theory (IRT), grade curving, and downstream modeling tasks such as peer grading. Historically, grades have been assumed to be normally distributed, and to this day the normal is the ubiquitous choice for modeling exam scores. While this is a good assumption for tests…
Descriptors: Grades (Scholastic), Scores, Statistical Distributions, Models
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Hansen, Christian; Hansen, Casper; Alstrup, Stephen; Lioma, Christina – International Educational Data Mining Society, 2019
In this paper we consider the problem of modelling when students end their session in an online mathematics educational system. Being able to model this accurately will help us optimize the way content is presented and consumed. This is done by modelling the probability of an action being the last in a session, which we denote as the…
Descriptors: Integrated Learning Systems, Probability, Foreign Countries, Student Behavior
Kratsa, Kristi D. – ProQuest LLC, 2019
The American School Counselor Association National Model was developed to unify the profession and to ensure that students receive equitable access to comprehensive, developmental, and preventive school counseling programming through the delivery of school counseling curriculum and services (ASCA: 2003, 2005, 2012). Designed to promote the…
Descriptors: Holistic Approach, Models, School Counseling, Barriers
Agarwal, Nikhil; Somaini, Paulo J. – National Bureau of Economic Research, 2019
Preferences for schools are important determinants of equitable access to high-quality education, effects of expanded choice on school improvement and school choice mechanism design. Standard methods for estimating consumer preferences are not applicable in education markets because students do not always get their first choice school. This review…
Descriptors: School Choice, Models, Educational Quality, Data Analysis
Colorado Department of Education, 2019
The Colorado Growth Model (CGM) was developed jointly by the Colorado Department of Education (CDE), the Technical Advisory Panel for Longitudinal Growth (TAP), and the National Center for the Improvement of Educational Assessment (NCIEA). Its development was required by state statute (SB09-163) and assigned to the Technical Advisory Panel. The…
Descriptors: Growth Models, Elementary Secondary Education, Accountability, Academic Achievement
Zhang, Xue; Tao, Jian; Wang, Chun; Shi, Ning-Zhong – Grantee Submission, 2019
Model selection is important in any statistical analysis, and the primary goal is to find the preferred (or most parsimonious) model, based on certain criteria, from a set of candidate models given data. Several recent publications have employed the deviance information criterion (DIC) to do model selection among different forms of multilevel item…
Descriptors: Bayesian Statistics, Item Response Theory, Measurement, Models
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Özüdogru, Melike – Education and Information Technologies, 2022
The purpose of this study was to investigate the perceptions of teacher candidates about distance education teacher training classroom environments and to display the relationships among distance education classroom environment variables and course achievement. This study was designed according to relational survey research and employed structural…
Descriptors: Structural Equation Models, Distance Education, Preservice Teacher Education, Preservice Teachers
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Aykan, Ahmet; Yildirim, Bekir – Technology, Knowledge and Learning, 2022
This paper investigated the integration of a Lesson Study Model (LSM) into distance STEM education during the COVID-19 pandemic. The study focused on six dimensions: (1) STEM education in distance learning, (2) Lesson Study (LS), (3) lesson planning processes, (4) challenges of lesson planning, (5) evaluation and assessment methods, and (6)…
Descriptors: Distance Education, STEM Education, COVID-19, Pandemics
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Broley, Laura; Hardy, Nadia – International Journal of Research in Undergraduate Mathematics Education, 2022
Research using the Anthropological Theory of the Didactic suggests different models of how student learning may evolve in the progression of undergraduate mathematics coursework: from elementary courses in Calculus to more advanced courses in Analysis. An ideal model suggests that the theory-driven learning in the latter serves as a natural…
Descriptors: Calculus, Mathematics Instruction, Teaching Methods, Task Analysis
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Sandry, Joshua; Ricker, Timothy J. – Cognitive Research: Principles and Implications, 2022
The drift diffusion model (DDM) is a widely applied computational model of decision making that allows differentiation between latent cognitive and residual processes. One main assumption of the DDM that has undergone little empirical testing is the level of independence between cognitive and motor responses. If true, widespread incorporation of…
Descriptors: Decision Making, Motor Reactions, Cognitive Processes, Comparative Analysis
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Sivan, Atara; Chan, Dennis W. K. – Learning Environments Research, 2022
This qualitative study explored Hong Kong students' views and reactive emotions towards interpersonal teacher behaviour in their classrooms. Fifteen focus-group interviews were conducted with 69 secondary-school students. Content analysis was performed to identify main themes. Cultural similarities and differences were identified in students'…
Descriptors: Secondary School Students, Student Attitudes, Content Validity, Teacher Student Relationship
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