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Jerin Kim; Kent McIntosh – Journal of Positive Behavior Interventions, 2025
We aimed to identify empirically valid cut scores on the positive behavioral interventions and supports (PBIS) Tiered Fidelity Inventory (TFI) through an expert panel process known as bookmarking. The TFI is a measurement tool to evaluate the fidelity of implementation of PBIS. In the bookmark method, experts reviewed all TFI items and item scores…
Descriptors: Positive Behavior Supports, Cutting Scores, Fidelity, Program Evaluation
Mi Yeon Lee; Ji-Eun Lee – International Journal of Science and Mathematics Education, 2025
The aim of this study was to examine how pre-service teachers performed in tasks related to three specific aspects of curricular noticing. The participants completed a two-part written task in which they solved three pattern generalization problems and sequenced them for teaching purposes. Inductive content analysis was used to analyze the…
Descriptors: Preservice Teachers, Teacher Education Programs, Problem Solving, Mathematics Curriculum
Tristan H. S. de Jonge; Anna Berti; Sanne van Schijndel; Margot van Wermeskerken; Ellen Kok – Applied Cognitive Psychology, 2025
The coherence principle suggests removing unnecessary--or seductive--content from educational texts to reduce cognitive load. However, the binary proposition that all seductive details should be excluded neglects images' potential to prime semantically related concepts, which makes texts easier to process. It was hypothesized that this priming…
Descriptors: Concept Teaching, Concept Formation, Learning Processes, Schemata (Cognition)
Kaitlyn Tracy; Ourania Spantidi – IEEE Transactions on Learning Technologies, 2025
Virtual reality (VR) has emerged as a transformative educational tool, enabling immersive learning environments that promote student engagement and understanding of complex concepts. However, despite the growing adoption of VR in education, there remains a significant gap in research exploring how generative artificial intelligence (AI), such as…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Simulation, Educational Technology
Kelsey J. MacKay; Filip Germeys; Wim Van Dooren; Lieven Verschaffel; Koen Luwel – Educational Studies in Mathematics, 2025
Rational numbers, such as fractions and decimals, are harder to understand than natural numbers. Moreover, individuals struggle with fractions more than with decimals. The present study sought to disentangle the extent to which two potential sources of difficulty affect secondary-school students' numerical magnitude understanding: number type…
Descriptors: Number Concepts, Numeracy, Secondary School Mathematics, Secondary School Students
Xiaoming Zhai; Matthew Nyaaba; Wenchao Ma – Science & Education, 2025
This study aimed to examine an assumption regarding whether generative artificial intelligence (GAI) tools can overcome the cognitive intensity that humans suffer when solving problems. We examine the performance of ChatGPT and GPT-4 on NAEP science assessments and compare their performance to students by cognitive demands of the items. Fifty-four…
Descriptors: Artificial Intelligence, National Competency Tests, Elementary Secondary Education, Problem Solving
Ling Wu; Shuxin Wang – Education and Information Technologies, 2025
Contemporary technological advancements offer new possibilities for enhancing user creativity. We aimed to explore how technology can boost student creativity to meet the twenty-first century's demand for innovative talent. Based on the 4P model of creativity (person, process, product, and press) and constructivist theory, a virtual reality (VR)…
Descriptors: Computer Simulation, Brain, Biofeedback, Creativity
Katrin Schuessler; Vanessa Fischer; Maik Walpuski – Instructional Science: An International Journal of the Learning Sciences, 2025
Cognitive load studies are mostly centered on information on perceived cognitive load. Single-item subjective rating scales are the dominant measurement practice to investigate overall cognitive load. Usually, either invested mental effort or perceived task difficulty is used as an overall cognitive load measure. However, the extent to which the…
Descriptors: Cognitive Processes, Difficulty Level, Rating Scales, Construct Validity
Joseph A. Rios; Jiayi Deng – Educational and Psychological Measurement, 2025
To mitigate the potential damaging consequences of rapid guessing (RG), a form of noneffortful responding, researchers have proposed a number of scoring approaches. The present simulation study examines the robustness of the most popular of these approaches, the unidimensional effort-moderated (EM) scoring procedure, to multidimensional RG (i.e.,…
Descriptors: Scoring, Guessing (Tests), Reaction Time, Item Response Theory
Élisabeth Bélanger; Lorie-Marlène Brault Foisy; Steve Masson – International Journal of Research & Method in Education, 2025
The main objective of this methodological article is to discuss the contribution of response times as a tool in education research. The use of response times in research is largely a legacy of the work carried out in cognitive psychology, which has made it possible to describe the cognitive processes involved in information processing. In…
Descriptors: Educational Research, Reaction Time, Cognitive Processes, Research Methodology
Joseph Hin Yan Lam; Jiali Wang; Danyang Wang; Jissel B. Anaya; Lisa M. Bedore; Elizabeth D. Peña – Journal of Speech, Language, and Hearing Research, 2025
Purpose: The current study examines bilingual children's development of Spanish and English morphosyntax structures over the period of 1 year. Identification of morphosyntax forms clustered by difficulty can elucidate their development and guide clinicians to select appropriate targets for intervention and monitoring. Specifically, we aim to…
Descriptors: English, Spanish, Morphology (Languages), Syntax
Christof Keebaugh; Emily Marshman; Chandralekha Singh – Physical Review Physics Education Research, 2025
We discuss how research on student difficulties was used as a guide to develop, validate, and evaluate a Quantum Interactive Learning Tutorial (QuILT) to help students learn how to determine the completely symmetric bosonic or completely antisymmetric fermionic wave function and be able to compare and contrast them from the case when the particles…
Descriptors: Physics, Science Instruction, Teaching Methods, Quantum Mechanics
High School Student Levels of Arithmetic Knowledge When Solving Additive Word Problems: ? Case Study
Camilo Andrés Rodríguez-Nieto; José David Cabarcas-Jiménez; Adriana Lucía Sarmiento-Reales; Benilda María Cantillo-Rudas; Jesús David Berrio-Valbuena; Sudirman Sudirman; Angela Castro Inostroza – International Electronic Journal of Mathematics Education, 2025
The level of arithmetic knowledge of a high school student was explored when solving additive word problems considering the semantic structure and syntactic component. The methodology was qualitative and developed in four stages: the first is the selection of the participant, the second is the design of a questionnaire with twenty additive…
Descriptors: Problem Solving, Arithmetic, Mathematics Instruction, Addition
Enming Zhang; Yinghua Ye; Shuqian Ni – Asia-Pacific Education Researcher, 2025
Subject (e.g., math) problems often have deep rationales and concepts underlying them. Accordingly, when students solve these problems, they are prone to making errors that expose their misunderstandings and are difficult to correct. Previous research has shown the benefits of teacher feedback in learning from errors, but the effectiveness of…
Descriptors: Feedback (Response), Error Patterns, Error Correction, Cognitive Processes
Idit Adler; Liat Liberman; Ilana Dubovi – Journal of Computer Assisted Learning, 2025
Background: This study investigates the effect of immersion levels in virtual reality (VR) learning environments on the acquisition of declarative and procedural knowledge. Prior research indicates that immersion affects cognitive load, but its impact on declarative and procedural knowledge outcomes remains unclear. This study utilises a…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Outcomes of Education

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