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Juhi Kim – Learning Assistance Review, 2022
The shift in literacy education has reshaped the perspective of writing instruction in its theory and philosophy of the writing center in the US. This study examines how the writing center tutors instruct themselves for the work of writing instruction through mock tutorials. The tutors demonstrate how they make sense of the collaborative process…
Descriptors: Universities, Tutorial Programs, Writing Instruction, Skill Centers
Stukenberg, Steven – ProQuest LLC, 2022
The aim of this confirmatory grounded theory case analysis was to investigate the perceptions of high school civics teachers on the new Illinois civics curriculum and how this relates to concepts of citizenship. This qualitative study involved focus groups consisting of 20 public high school civics teachers to investigate the use of the…
Descriptors: High School Teachers, Civics, Citizenship, Constructivism (Learning)
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Jordan Rickles; Martyna Citkowicz; Megha Joshi; Mark Lachowicz; Robert Nathenson – Society for Research on Educational Effectiveness, 2022
Background: Over the past 20 years, much has been written about the merits and limitations of matching methods, particularly propensity score matching (see, e.g., Stuart, 2010 for a review of matching approaches), and the myriad ways matching can be implemented to identify a comparison group that is similar to the treatment group on observable…
Descriptors: Observation, Research Design, Educational Research, Comparative Analysis
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Kelly Davis McCauley – Management Teaching Review, 2024
The Networking "Menu" is a customizable learning experience for online students to explore various ways to network virtually and to sharpen their networking skills. The "menu" offers four networking options for students to select from. Some networking options require that students network with their peers via virtual platforms…
Descriptors: Social Networks, College Students, Business Administration Education, Online Courses
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Giada Spaccapanico Proietti; Mariagiulia Matteucci; Stefania Mignani; Bernard P. Veldkamp – Journal of Educational and Behavioral Statistics, 2024
Classical automated test assembly (ATA) methods assume fixed and known coefficients for the constraints and the objective function. This hypothesis is not true for the estimates of item response theory parameters, which are crucial elements in test assembly classical models. To account for uncertainty in ATA, we propose a chance-constrained…
Descriptors: Automation, Computer Assisted Testing, Ambiguity (Context), Item Response Theory
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Ronen Kasperski; Merav E. Hemi – European Journal of Teacher Education, 2024
Increasing research indicates the effectiveness of simulation-based learning as a means of socio-emotional learning (SEL). Traditionally, simulations are conducted face-to-face (FTF) with a live actor in the role of the 'other'. The outbreak of COVID-19 led to the shifting of simulations to online settings. To explore the differences between FTF…
Descriptors: Social Emotional Learning, Simulation, Teaching Methods, COVID-19
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Adi Zloof Golombick; Gil Zukerman; Michal Icht – International Journal of Language & Communication Disorders, 2024
Background: Research suggests that participating in a stuttering simulation-based learning (SBL) program could help speech-language pathology (SLP) students feel more at ease, less nervous and more capable while interacting with people who stutter. Personality traits may influence SLP students' self-efficacy beliefs as well as their level of…
Descriptors: Stuttering, Simulation, Speech Therapy, Speech Language Pathology
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Reina Karen M. Celestino-Salcedo; Jr. Sotero O. Malayao Jr.; Monera A. Salic-Hairulla; Ellen J. Castro; Ivy Claire V. Mordeno – Journal of Education and Learning (EduLearn), 2024
The challenge of creating reliable technology-based resources for science learning is a perennial challenge in Philippine education, with limited learning materials accessible to all learners. This study is about the development of a videocast embedded with physics education technology (PhET) simulation that served as supplementary learning…
Descriptors: Physics, Science Education, Motion, Scientific Concepts
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Li, Xinru; Dusseldorp, Elise; Meulman, Jacqueline J. – Research Synthesis Methods, 2019
In meta-analytic studies, there are often multiple moderators available (eg, study characteristics). In such cases, traditional meta-analysis methods often lack sufficient power to investigate interaction effects between moderators, especially high-order interactions. To overcome this problem, meta-CART was proposed: an approach that applies…
Descriptors: Correlation, Meta Analysis, Identification, Testing
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Kangasrääsiö, Antti; Jokinen, Jussi P. P.; Oulasvirta, Antti; Howes, Andrew; Kaski, Samuel – Cognitive Science, 2019
This paper addresses a common challenge with computational cognitive models: identifying parameter values that are both theoretically plausible and generate predictions that match well with empirical data. While computational models can offer deep explanations of cognition, they are computationally complex and often out of reach of traditional…
Descriptors: Inferences, Computation, Cognitive Processes, Models
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Van Norman, Ethan R.; Nelson, Peter M. – School Psychology, 2019
A growing body of research suggests that growth in early literacy skills, including letter sound fluency, is predictive of later reading outcomes. In turn, educators and school psychologists use measures of letter sound fluency to monitor student response to early reading instruction. Limited research has evaluated whether decision-making…
Descriptors: Progress Monitoring, Emergent Literacy, Curriculum Based Assessment, Simulation
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Fu, Jianbin – ETS Research Report Series, 2019
A maximum marginal likelihood estimation with an expectation-maximization algorithm has been developed for estimating multigroup or mixture multidimensional item response theory models using the generalized partial credit function, graded response function, and 3-parameter logistic function. The procedure includes the estimation of item…
Descriptors: Maximum Likelihood Statistics, Mathematics, Item Response Theory, Expectation
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Berger, Stéphanie; Verschoor, Angela J.; Eggen, Theo J. H. M.; Moser, Urs – Journal of Educational Measurement, 2019
Calibration of an item bank for computer adaptive testing requires substantial resources. In this study, we investigated whether the efficiency of calibration under the Rasch model could be enhanced by improving the match between item difficulty and student ability. We introduced targeted multistage calibration designs, a design type that…
Descriptors: Simulation, Computer Assisted Testing, Test Items, Difficulty Level
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Fujimoto, Ken A. – Educational and Psychological Measurement, 2019
Advancements in item response theory (IRT) have led to models for dual dependence, which control for cluster and method effects during a psychometric analysis. Currently, however, this class of models does not include one that controls for when the method effects stem from two method sources in which one source functions differently across the…
Descriptors: Bayesian Statistics, Item Response Theory, Psychometrics, Models
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Andrews-Todd, Jessica; Kerr, Deirdre – International Journal of Testing, 2019
Collaborative problem solving (CPS) has been deemed a critical twenty-first century competency for a variety of contexts. However, less attention has been given to work aimed at the assessment and acquisition of such capabilities. Recently large scale efforts have been devoted toward assessing CPS skills, but there are no agreed upon guiding…
Descriptors: Cooperative Learning, Problem Solving, Student Evaluation, Evidence Based Practice
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