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James Pengelley; Peter R. Whipp; Anabela Malpique – Technology, Pedagogy and Education, 2025
The rising use of technology in classrooms has also brought with it a concomitant wave of computer-based assessments. The argument for computer-based testing is often framed in terms of efficiency and data management: computer-based tests facilitate more efficient processing of test data and the rate at which feedback can be leveraged for student…
Descriptors: Cognitive Processes, Paper and Pencil Tests, Computer Assisted Testing, Student Evaluation
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Ágnes Hódi; Edit Tóth; Marianne Nikolov – Reading Research Quarterly, 2025
Reading literacy is a multidimensional construct in terms of text and reading processes. Much research has examined the divisibility of the processes underlying reading, but they have treated the rest of the construct as unitary. This study extends the examination of dimensionality to a neglected area in literacy studies. It tests reading models…
Descriptors: Reader Text Relationship, Reading Processes, Text Structure, Foreign Countries
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Jiaqi Yin; Haoxin Xu; Yafeng Pan; Yi Hu – npj Science of Learning, 2025
Artificial intelligence (AI) driven chatbots provide instant feedback to support learning. Yet, the impacts of different feedback types on behavior and brain activation remain underexplored. We investigated how metacognitive, affective, and neutral feedback from an educational chatbot affected learning outcomes and brain activity using functional…
Descriptors: Outcomes of Education, Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication
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Yu Ji; Zehui Zhan; Tingting Li; Xuanxuan Zou; Siyuan Lyu – IEEE Transactions on Learning Technologies, 2025
The advent of generative artificial intelligence (GAI), exemplified by ChatGPT, has introduced both new opportunities and challenges in science, technology, engineering, and mathematics (STEM) and entrepreneurship education. This exploratory quasi-experimental study examined the effects of ChatGPT-assisted collaborative learning (CCL) on students'…
Descriptors: Man Machine Systems, Technology Uses in Education, Artificial Intelligence, Learning Processes
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I. Corbacho-Cuello; A. Núñez-Flores; M. A. Hernández-Barco; A. Muñoz-Losa – Environmental Education Research, 2025
This study explored and compared attitudes toward animals between primary school students and primary school prospective teachers, focusing on educational and cognitive influences. A cross-sectional survey of 100 primary school students and 102 primary school prospective teachers assessed animal behavior, animal attitudes, species conservation…
Descriptors: Teacher Attitudes, Student Attitudes, Animals, Elementary School Students
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Chun-Ying Chen – ACM Transactions on Computing Education, 2025
This study examined the effects of worked examples with different explanation types and novices' motivation on cognitive load, and how this subsequently influenced their programming problem-solving performance. Given the study's emphasis on both instructional approaches and learner motivation, the Cognitive Theory of Multimedia Learning served as…
Descriptors: Models, Learning Motivation, Cognitive Processes, Difficulty Level
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Belle Dang; Luna Huynh; Faaiz Gul; Carolyn Rosé; Sanna Järvelä; Andy Nguyen – British Journal of Educational Technology, 2025
The rise of generative artificial intelligence (GAI), especially with multimodal large language models like GPT-4o, sparked transformative potential and challenges for learning and teaching. With potential as a cognitive offloading tool, GAI can enable learners to focus on higher-order thinking and creativity. Yet, this also raises questions about…
Descriptors: Man Machine Systems, Artificial Intelligence, Technology Uses in Education, Cooperative Learning
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Yuyu Dai; Xuebu Hu – Education and Information Technologies, 2025
Online learning as an emerging learning method has a significant impact on education, which cannot be ignored. This article explores the relationship between engagement (including cognition, behavior and emotion), motivation, environment, and college students' concentration in online learning during the COVID-19 pandemic. A total of 889 college…
Descriptors: Foreign Countries, College Students, Attention, Electronic Learning
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Haoning Liu; Xinyi Yang; Wei Shao; Xiao Yu – Educational Psychology Review, 2025
While nature contact is increasingly recognized for its health benefits, its role in human development and learning remains insufficiently examined. The present meta-analysis aimed to investigate (a) the extent to which nature contact predicts social functioning, cognitive functioning, and academic performance, (b) whether these associations vary…
Descriptors: Outdoor Education, Predictor Variables, Social Development, Cognitive Processes
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Samuel Tobler; Tanmay Sinha; Katja Köhler; Manu Kapur – Instructional Science: An International Journal of the Learning Sciences, 2025
Despite the challenges posed by expository instruction materials, including unfamiliar text structure and abstracted and isolated representation of the contents, they constitute a primary means of studying scientific concepts in higher education. Conversely, utilizing narratives to present the to-be-learned content was conjectured to mitigate some…
Descriptors: Undergraduate Students, College Science, Science Instruction, Teaching Methods
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Charlotte Popp; Heidrun Stoeger; Albert Ziegler – Journal for the Education of the Gifted, 2025
In this second-order scoping review--that is, a broad overview of research on a particular topic, identifying key concepts and evidence gaps--we (a) provide an overview of robust (and semi-robust) findings in giftedness and talent research and (b) identify areas where giftedness and talent research has not yet produced robust (and semi-robust)…
Descriptors: Academically Gifted, Gifted Education, Educational Research, Meta Analysis
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Geoffroy P. J. C. Noel; Isabella Xiao; Maher Chaouachi; Alexandru Ilie; Jeremy O'Brien; Sean C. McWatt – Anatomical Sciences Education, 2025
Mixed reality (MR) offers a way to visualize and manipulate complex digital objects in three dimensions, which is particularly beneficial for human anatomy. However, implementing MR effectively requires a deep understanding of its effects on cognitive processes. The purpose of this study was to evaluate cognitive markers of students' engagement…
Descriptors: Cognitive Processes, Difficulty Level, Medical Students, Trainees
Catherine Antalek; Fiona Dixon; Elisabeth Herbert; Joanna Kolak – UK Department for Education, 2025
According to the SEND Code of Practice (DfE, 2015), cognition and learning difficulties encompass a wide range of needs, including general and specific learning difficulties. These difficulties affect various areas of learning including literacy, numeracy, and the acquisition of subject-specific knowledge and skills and may be linked to underlying…
Descriptors: Foreign Countries, Learning Disabilities, Cognitive Processes, Mathematical Aptitude
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Christopher E. Beaudoin – Health Education & Behavior, 2025
With bases in the Socio-Ecological Model (SEM), Protection Motivation Theory, and the Extended Parallel Process Model, this study builds a multilevel model including neighborhood risk factors, cognitive appraisals, and media information use with research hypotheses and questions developed at the individual, community, and cross levels. The…
Descriptors: COVID-19, Pandemics, Prevention, Health Behavior
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de Bruin, Anique B. H.; Roelle, Julian; Carpenter, Shana K.; Baars, Martine – Educational Psychology Review, 2020
An exponential increase in the availability of information over the last two decades has asked for novel theoretical frameworks to examine how students optimally learn under these new learning conditions, given the limitations of human processing ability. In this special issue and in the current editorial introduction, we argue that such a novel…
Descriptors: Cognitive Processes, Difficulty Level, Independent Study, Metacognition
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