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Weitekamp, Daniel, III.; Harpstead, Erik; MacLellan, Christopher J.; Rachatasumrit, Napol; Koedinger, Kenneth R. – International Educational Data Mining Society, 2019
Computational models of learning can be powerful tools to test educational technologies, automate the authoring of instructional software, and advance theories of learning. These mechanistic models of learning, which instantiate computational theories of the learning process, are capable of making predictions about learners' performance in…
Descriptors: Computation, Models, Learning, Prediction
Wang, Chun; Xu, Gongjun; Zhang, Xue – Grantee Submission, 2019
When latent variables are used as outcomes in regression analysis, a common approach that is used to solve the ignored measurement error issue is to take a multilevel perspective on item response modeling (IRT). Although recent computational advancement allow efficient and accurate estimation of multilevel IRT models, we argue that a two-stage…
Descriptors: Error of Measurement, Item Response Theory, Regression (Statistics), Evaluation Methods
Crooks, Noelle M.; Bartel, Anna N.; Alibali, Martha W. – Grantee Submission, 2019
In recent years, there have been calls for researchers to report and interpret confidence intervals (CIs) rather than relying solely on p-values. Such reforms, however, may be hindered by a general lack of understanding of CIs and how to interpret them. In this study, we assessed conceptual knowledge of CIs in undergraduate and graduate psychology…
Descriptors: Undergraduate Students, Graduate Students, Psychology, Statistics
Tom Liam Lynch – English Education, 2019
In this conceptual essay, the author argues that computational methods and computer science more broadly should be embedded into English education programs. Positing that computational methods can deepen and expand the way literature is already taught in many English education programs and secondary English classrooms, the author first makes a…
Descriptors: Computer Science Education, Literature, English Instruction, Computation
Perrine, Brittany L.; Scherer, Ronald C. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: The goal of this study was to determine if differences in stress system activation lead to changes in speaking fundamental frequency, average oral airflow, and estimated subglottal pressure before and after an acute, psychosocial stressor. Method: Eighteen vocally healthy adult females experienced the Trier Social Stress Test (TSST) to…
Descriptors: Acoustics, Public Speaking, Stress Variables, Speech Communication
A Comparison of CBM-WE Scoring Metrics and Progress Monitoring Frequency among Second-Grade Students
Hier, Bridget O.; January, Stacy-Ann A.; Van Norman, Ethan R. – School Psychology Review, 2020
This study examined the effect of progress monitoring frequency and scoring metric on curriculum-based measurement of written expression (CBM-WE) progress monitoring estimates. The writing progress of 116 second-grade students receiving a classwide writing fluency intervention in their general education classrooms was monitored across 13 weeks…
Descriptors: Curriculum Based Assessment, Writing Tests, Progress Monitoring, Grade 2
Wells, Craig S.; Sireci, Stephen G. – Applied Measurement in Education, 2020
Student growth percentiles (SGPs) are currently used by several states and school districts to provide information about individual students as well as to evaluate teachers, schools, and school districts. For SGPs to be defensible for these purposes, they should be reliable. In this study, we examine the amount of systematic and random error in…
Descriptors: Growth Models, Reliability, Scores, Error Patterns
Qian, Jiahe – ETS Research Report Series, 2020
The finite population correction (FPC) factor is often used to adjust variance estimators for survey data sampled from a finite population without replacement. As a replicated resampling approach, the jackknife approach is usually implemented without the FPC factor incorporated in its variance estimates. A paradigm is proposed to compare the…
Descriptors: Computation, Sampling, Data, Statistical Analysis
Langbeheim, Elon; Perl, David; Yerushalmi, Edit – Journal of Science Education and Technology, 2020
This study focuses on science teachers' first encounter with computational modeling in professional development workshops. It examines the factors shaping the teachers' self-efficacy and attitudes towards integrating computational modeling within inquiry-based learning modules for 9th grade physics. The learning modules introduce phenomena, the…
Descriptors: Science Teachers, Secondary School Teachers, Teacher Attitudes, Grade 9
Jewsbury, Paul A.; van Rijn, Peter W. – Journal of Educational and Behavioral Statistics, 2020
In large-scale educational assessment data consistent with a simple-structure multidimensional item response theory (MIRT) model, where every item measures only one latent variable, separate unidimensional item response theory (UIRT) models for each latent variable are often calibrated for practical reasons. While this approach can be valid for…
Descriptors: Item Response Theory, Computation, Test Items, Adaptive Testing
Yavich, Roman; Malev, Sergey; Rotkin, Vladimir – Higher Education Studies, 2020
What constitutes learning in the 21st century is the capacity for e-learning. Integral components of e-education are training content management systems. Existing content generators more transform content than create original content. Creating a methodology and technology for generating original content is important and relevant. In order to form…
Descriptors: Geometric Concepts, Electronic Learning, Mathematics Education, Computation
Bara, Jason Edward; McLemore, John Patrick – Chemical Engineering Education, 2020
There appears to be no published knowledge regarding how humans use unit conversions. Until very recently, acquiring such data would be essentially impossible, but mobile devices have now enabled many questions to be answered through passive "crowdsourcing" of big data sets. This work details the analysis of five years of anonymous user…
Descriptors: Telecommunications, Handheld Devices, Foreign Countries, Computation
Ellis, Joshua; Wieselmann, Jeanna; Sivaraj, Ramya; Roehrig, Gillian; Dare, Emily; Ring-Whalen, Elizabeth – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2020
The lack of a definition of the T in STEM (science, technology, engineering, and mathematics) acronym is pervasive, and it is often the teachers of STEM disciplines who inherit the task of defining the role of technology within their K-12 classrooms. These definitions often vary significantly, and they have profound implications for curricular and…
Descriptors: Technology, STEM Education, Definitions, Elementary Secondary Education
Cain, Chris; Faulkner, Valerie; Fanelli, Kate – Australian Primary Mathematics Classroom, 2020
In the USA, the Common Core Standards in Mathematics for the early grades (K-3) are designed to build on and develop students' number sense as students gain understanding of the structures of addition, subtraction, multiplication and division. It is well understood in teaching circles that subtraction is notoriously more difficult for students…
Descriptors: Subtraction, Mathematics Instruction, Common Core State Standards, Elementary School Students
Mulligan, Joanne; Oslington, Gabrielle; English, Lyn – ZDM: The International Journal on Mathematics Education, 2020
An Australian longitudinal study of 319 Kindergartners developed, implemented and evaluated an intervention, the Pattern and Structure Mathematics Awareness Program (PASMAP). It comprised of repetitions and growing patterns, structured counting and grouping, grids and shapes, partitioning, additive and multiplicative structures, measurement and…
Descriptors: Foreign Countries, Kindergarten, Mathematical Concepts, Repetition

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