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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
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
Melissa Paurowski; David Glassmeyer; Jihye Kim; Lateefah Id-Deen – International Journal of Mathematical Education in Science and Technology, 2025
Productive struggle is an effective mathematics teaching practice that provides students opportunities to grapple with challenging mathematical concepts, connect prior knowledge, discover new ideas, and develop their critical thinking skills. Research has documented the benefits of secondary mathematics students engaging in productive struggle.…
Descriptors: Advanced Placement Programs, Mathematics Achievement, Grade 11, Grade 12
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
Rawal, Amit; Tseng, Philip – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Visual statistical learning (VSL) occurs when participants are exposed to spatially or temporally ordered stimuli, and become increasingly sensitive to them without explicitly realizing the hidden regularities. In the temporal domain of VSL, participants are usually exposed to shape-triplets, followed by the use of familiarity judgments and…
Descriptors: Visual Learning, Incidental Learning, Difficulty Level, Reaction Time
Newman, Vera E.; Yee, Hannah F.; Walker, Adrian R.; Toumbelekis, Metaxia; Most, Steven B. – Cognitive Research: Principles and Implications, 2021
People often need to update representations of information upon discovering them to be incorrect, a process that can be interrupted by competing cognitive demands. Because anxiety and stress can impair cognitive performance, we tested whether looming threat can similarly interfere with the process of updating representations of a statement's…
Descriptors: Memory, Cognitive Processes, Difficulty Level, Anxiety
Qingchuan Li; Yan Luximon; Jiaxin Zhang; Yao Song – British Journal of Educational Technology, 2024
Although the utilization of mobile technologies has recently emerged in various educational settings, limited research has focused on cognitive load detection in the pen-based learning process. This research conducted two experimental studies to investigate what and how multimodal data can be used to measure and classify learners' real-time…
Descriptors: Cognitive Processes, Difficulty Level, Electronic Learning, Handwriting
Jimmy Van Rijt; Arina Banga; Martijn Goudbeek – Applied Linguistics, 2024
An important skill for L1 language teachers when teaching grammar is the ability to produce and quickly evaluate arguments that underpin a grammatical analysis. Previous research has revealed that the strongest arguments in favour of a particular grammatical analysis are based on linguistic manipulations (LM) rather than on rules of thumb (RoT).…
Descriptors: Student Teachers, Language Teachers, Grammar, Cognitive Processes
Aditya Shah; Ajay Devmane; Mehul Ranka; Prathamesh Churi – Education and Information Technologies, 2024
Online learning has grown due to the advancement of technology and flexibility. Online examinations measure students' knowledge and skills. Traditional question papers include inconsistent difficulty levels, arbitrary question allocations, and poor grading. The suggested model calibrates question paper difficulty based on student performance to…
Descriptors: Computer Assisted Testing, Difficulty Level, Grading, Test Construction
Matt Tincani; Shawn P. Gilroy; Art Dowdy – Journal of Applied Behavior Analysis, 2024
Open science practices are designed to enhance the utility, integrity, and credibility of scientific research. This article highlights how preregistration in open science practice can be leveraged to enhance the rigor and transparency of single-case experimental designs within an applied behavior analysis framework. We provide an overview of the…
Descriptors: Applied Behavior Analysis, Scientific Research, Research Design, Difficulty Level
Valentina Nachtigall; David Williamson Shaffer; Nikol Rummel – European Journal of Psychology of Education, 2024
A highly authentic learning setting is likely to trigger positive motivational and emotional reactions due to its emphasis on promoting the acquisition of knowledge that is connected and transferable to real-world phenomena outside the learning environment. However, a high level of authenticity is usually accompanied by a high level of complexity…
Descriptors: Authentic Learning, Difficulty Level, Teaching Methods, Educational Theories