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Zachary J. Roman; Patrick Schmidt; Jason M. Miller; Holger Brandt – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Careless and insufficient effort responding (C/IER) is a situation where participants respond to survey instruments without considering the item content. This phenomena adds noise to data leading to erroneous inference. There are multiple approaches to identifying and accounting for C/IER in survey settings, of these approaches the best performing…
Descriptors: Structural Equation Models, Bayesian Statistics, Response Style (Tests), Robustness (Statistics)
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Paul V. Mathew; Joemon Pappachan; Satyendra Kushwaha – Discover Education, 2024
This study aims to identify key factors influencing the performance and satisfaction of students in online courses during the COVID-19 pandemic. An online survey of 545 Indian university students was conducted, and structural equation modelling was used to analyse the data. The results highlight four critical factors high-quality instruction,…
Descriptors: Foreign Countries, College Students, Electronic Learning, Student Attitudes
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Jesús Pérez; Eladio Dapena; Jose Aguilar – Education and Information Technologies, 2024
In tutoring systems, a pedagogical policy, which decides the next action for the tutor to take, is important because it determines how well students will learn. An effective pedagogical policy must adapt its actions according to the student's features, such as knowledge, error patterns, and emotions. For adapting difficulty, it is common to…
Descriptors: Feedback (Response), Intelligent Tutoring Systems, Reinforcement, Difficulty Level
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Patricia Diaz; Stefan Hrastinski; Per Norström – Interactive Learning Environments, 2024
Teacher educators' distinct and dual task of educating future teachers includes using digital tools to support students' ongoing learning while exemplifying appropriate teaching strategies where the use of digital tools, such as response systems (RSs), are commonly occurring. RSs have been used in higher education for a long time, and many studies…
Descriptors: Teacher Educators, Audience Response Systems, Student Participation, Learner Engagement
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Eirini M. Mitropoulou; Leonidas A. Zampetakis; Ioannis Tsaousis – Evaluation Review, 2024
Unfolding item response theory (IRT) models are important alternatives to dominance IRT models in describing the response processes on self-report tests. Their usage is common in personality measures, since they indicate potential differentiations in test score interpretation. This paper aims to gain a better insight into the structure of trait…
Descriptors: Foreign Countries, Adults, Item Response Theory, Personality Traits
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Pere J. Ferrando; Fabia Morales-Vives; Ana Hernández-Dorado – Educational and Psychological Measurement, 2024
In recent years, some models for binary and graded format responses have been proposed to assess unipolar variables or "quasi-traits." These studies have mainly focused on clinical variables that have traditionally been treated as bipolar traits. In the present study, we have made a proposal for unipolar traits measured with continuous…
Descriptors: Item Analysis, Goodness of Fit, Accuracy, Test Validity
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Grace Pai – Journal of Statistics and Data Science Education, 2025
Instructors are increasingly using interactive student response systems (SRS) to foster active learning and deepen student understanding in statistics education. Yet most studies focus on either the benefits of SRS or on how "students" can receive and use feedback, rather than on how "instructors" can use formative assessment…
Descriptors: Community Colleges, Community College Students, Statistics Education, Active Learning
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Idit Adler; Scott Warren; Cathleen Norris; Elliot Soloway – Smart Learning Environments, 2025
Smart learning environments provide students with opportunities to engage in self-regulated learning (SRL). However, little research has examined how teachers leverage these opportunities. We employed a multiple-case study methodology to examine the SRL supporting instructional practices of five third-grade teachers as they implemented a science…
Descriptors: Elementary School Students, Elementary School Teachers, Grade 3, Independent Study
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Todd Whitney; Justin T. Cooper; Kate Snider – Journal of Special Education Technology, 2025
Students with disabilities are being educated in the general education setting at an ever-increasing rate; therefore, it becomes imperative that educator preparation programs ensure that pre-service teachers are equipped to meet the needs of all students. Teacher education scholars have encouraged educator preparation programs to maximize the…
Descriptors: Students with Disabilities, Preservice Teachers, Preservice Teacher Education, Inclusion
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Jiali Song; Benjamin Wolfe – Cognitive Research: Principles and Implications, 2024
The low prevalence effect (LPE) is a cognitive limitation commonly found in visual search tasks, in which observers miss rare targets. Drivers looking for road hazards are also subject to the LPE. However, not all road hazards are equal; a paper bag floating down the road is much less dangerous than a rampaging moose. Here, we asked whether…
Descriptors: Traffic Safety, Motor Vehicles, Incidence, Identification
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Naoko Aoki – Journal of Early Childhood Research, 2024
This study probed praising among preschoolers in natural settings and investigated their developmental changes. In study 1, teachers in preprimary educational facilities answered queries about the frequency and described episodes of praising among preschoolers. The results indicated that children approximately 3-year-old commonly praised friends,…
Descriptors: Preschool Children, Altruism, Friendship, Student Behavior
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Ken A. Fujimoto; Carl F. Falk – Educational and Psychological Measurement, 2024
Item response theory (IRT) models are often compared with respect to predictive performance to determine the dimensionality of rating scale data. However, such model comparisons could be biased toward nested-dimensionality IRT models (e.g., the bifactor model) when comparing those models with non-nested-dimensionality IRT models (e.g., a…
Descriptors: Item Response Theory, Rating Scales, Predictive Measurement, Bayesian Statistics
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Tegan Little; Phillip Dawson; David Boud; Joanna Tai – Assessment & Evaluation in Higher Education, 2024
Student feedback literacy has been the subject of much conceptual literature; however, relatively little intervention research has investigated how and if it can be developed. Further, no evaluation of the current empirical literature has been conducted to assess which elements of feedback literacy can be successfully improved in practice, and…
Descriptors: Feedback (Response), Higher Education, College Students, Intervention
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Eman Bajamal; Ebtsam Aly Abou Hashish; Lorraine B. Robbins – Journal of School Nursing, 2024
Although enjoyment has been linked to participation in physical activity (PA), a thorough analysis of the concept is lacking. Health-related behavior research emphasizes the necessity of focusing on individual psychological requirements, such as enjoyment in PA, to boost children and adolescents' motivation for PA. The current paper is a report on…
Descriptors: Children, Adolescents, Physical Activities, Psychological Patterns
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Bahar Saberzadeh-Ardestani; Ali Reza Sima; Bardia Khosravi; Meredith Young; Sara Mortaz Hejri – Advances in Health Sciences Education, 2024
Few studies have engaged in data-driven investigations of the presence, or frequency, of what could be considered retaliatory assessor behaviour in Multi-source Feedback (MSF) systems. In this study, authors explored how assessors scored others if, before assessing others, they received their own assessment score. The authors examined assessments…
Descriptors: Feedback (Response), Scores, Evaluators, Behavior
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