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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
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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
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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
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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
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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
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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
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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
Janetta Adelle Robins Boone – ProQuest LLC, 2024
This dissertation aimed to expand knowledge and practical uses of educational technology tools in high-stakes team training environments. This study depicted the real-world impacts of virtual reality (VR) technology on learning and training for the Royal New Zealand Police Academy and those training teams in high-stakes environments.…
Descriptors: Cognitive Processes, Difficulty Level, Police Education, Police
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Lewis Doyle; Peter R. Harris; Matthew J. Easterbrook – Social Psychology of Education: An International Journal, 2024
A growing body of research has demonstrated that teachers' judgements may be biased by the demographics and characteristics of the students they teach. However, less work has investigated the contexts in which teachers may be most vulnerable to bias. In two pre-registered experimental studies we explored whether the quality of students' work, and…
Descriptors: Teacher Attitudes, Bias, Context Effect, Cognitive Processes
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Allison M. Kroesch; Neet Priya Bajwa; Beth L. MacDonald; Cassandra Mattoon; Agnes M. Gonzalez Hatch; Amanda L. Cullen; Edward S. Mooney; Julien Corven – Mathematics Teacher: Learning and Teaching PK-12, 2024
Students, even as young as kindergarten, are natural problem solvers (Carpenter et al., 2017). Even before they learn to count, they can make sense of mathematical problems and real- world situations (National Council of Teachers of Mathematics, 2022). Kindergartners can make sense of complex story problems, including Separate Start Unknown…
Descriptors: Kindergarten, Young Children, Problem Solving, Difficulty Level
Mingyan Xu – ProQuest LLC, 2024
Online education crowdfunding attracts public school teachers with its enormous outsourcing opportunities, but its success is constantly challenged by information asymmetry and information overload. To assist the teachers in successfully collecting teaching funds in crowdfunding, three studies are conducted to address the two challenges.…
Descriptors: Fund Raising, Donors, Difficulty Level, Information Literacy
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Renske Weeda; Sjaak Smetsers; Erik Barendsen – Computer Science Education, 2024
Background and Context: Multiple studies report that experienced instructors lack consensus on the difficulty of programming tasks for novices. However, adequately gauging task difficulty is needed for alignment: to select and structure tasks in order to assess what students can and cannot do. Objective: The aim of this study was to examine…
Descriptors: Novices, Coding, Programming, Computer Science Education
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Julius Meier; Peter Hesse; Stephan Abele; Alexander Renkl; Inga Glogger-Frey – Instructional Science: An International Journal of the Learning Sciences, 2024
Self-explanation prompts in example-based learning are usually directed backwards: Learners are required to self-explain problem-solving steps just presented ("retrospective" prompts). However, it might also help to self-explain upcoming steps ("anticipatory" prompts). The effects of the prompt type may differ for learners with…
Descriptors: Problem Based Learning, Problem Solving, Prompting, Models
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Meng Qi Wu; Violet V. Cieslik; Safoura Askari; Allyson F. Hadwin; Moira Hood – Journal of Psychoeducational Assessment, 2024
Research that uses self-report measures to examine the complexity of self-regulated learning (SRL) and academic challenges for adolescents is limited. This study examined the psychometric property of the Self-Regulated Learning Profile and Self-Diagnostic (SRL-PSD) instrument and addressed the multi-components of SRL and academic challenges for…
Descriptors: Foreign Countries, Middle School Students, Independent Study, Learning Processes
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Jenna Starck; Oleg A. Sinelnikov; Kevin Andrew Richards – Journal of Teaching in Physical Education, 2024
Purpose: Using the assessment literacy framework, the purpose of this study was to explore preservice teachers understanding and enactment of the message system during an early field experience. Method: Six PTs employed SE seasons totaling 540 min. Seven qualitative data methods were utilized. Data analysis included deductive and inductive…
Descriptors: Preservice Teachers, Assessment Literacy, Preservice Teacher Education, Physical Education
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