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Gur Arie Livni Alcasid; Michal Haskel-Ittah – Research in Science Education, 2025
Mechanistic explanations, aiming to disclose details of entities and their activities, employ the act of unpacking which, inherently and paradoxically, produces explanatory gaps--pieces of undisclosed, undetailed mechanistic information. These gaps, termed explanatory black boxes, are often perceived as counterproductive to the teaching of…
Descriptors: Science Instruction, Science Teachers, Biology, Teacher Attitudes
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Paul Howard-Jones; Bethany Woollacott; Camilla Gilmore – Journal of Education for Teaching: International Research and Pedagogy, 2025
We consider what is known about the potential internal processes involved when educators come to use research findings in their classroom practice. We undertook a conceptual review drawing on a range of disciplines, with findings ultimately categorised under six phases regarding research uptake and implementation. This categorisation provides a…
Descriptors: Classroom Environment, Teaching Methods, Educational Research, Research Utilization
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Piera Biccard – Open Learning, 2025
This conceptual paper sets out the community-of-inquiry framework from a distributed perspective. It proposes that considering teaching presence, social presence and cognitive presence from a distributed perspective allows the broadening of the presences to consider the way in which participants, content and tools maintain and advance these…
Descriptors: Distance Education, Teaching Styles, Computer Assisted Instruction, Internet
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Robert W. Danielson; Benjamin C. Heddy; Onur Ramazan; Gan Jin; Kanvarbir S. Gill; Danielle N. Berry – Journal of Research in Science Teaching, 2025
Misinformation has been extensively studied as both maliciously intended propaganda and accidentally experienced incorrect assumptions. We contend that "conceptual contamination" is the process by which the learning of incorrect information interferes, pollutes, or otherwise disrupts the learning of correct information. This is similar…
Descriptors: Misinformation, Propaganda, Deception, Misconceptions
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Tino Endres; Lisa Bender; Stoo Sepp; Shirong Zhang; Louise David; Melanie Trypke; Dwayne Lieck; Juliette C. Désiron; Johanna Bohm; Sophia Weissgerber; Juan Cristobal Castro-Alonso; Fred Paas – Educational Psychology Review, 2025
Assessing cognitive demand is crucial for research on self-regulated learning; however, discrepancies in translating essential concepts across languages can hinder the comparison of research findings. Different languages often emphasize various components and interpret certain constructs differently. This paper aims to develop a translingual set…
Descriptors: Cognitive Processes, Difficulty Level, Metacognition, Translation
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Erik Marsja; Emil Holmer; Victoria Stenbäck; Andreea Micula; Carlos Tirado; Henrik Danielsson; Jerker Rönnberg – Journal of Speech, Language, and Hearing Research, 2025
Purpose: Although the existing literature has explored the link between cognitive functioning and speech recognition in noise, the specific role of fluid intelligence still needs to be studied. Given the established association between working memory capacity (WMC) and fluid intelligence and the predictive power of WMC for speech recognition in…
Descriptors: Short Term Memory, Word Recognition, Speech Communication, Auditory Perception
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Segun Michael Ojetunde; Umesh Ramnarain – Smart Learning Environments, 2025
Learning interaction patterns is key to the explanation of learning outcomes. Different studies have reported the relationship between classroom process variables and learning outcomes in a traditional classroom setting. However, the advent of robotics and its attendant student-robot interaction moderated by students' mathematical ability is yet…
Descriptors: Robotics, Technology Uses in Education, Mathematics Skills, Outcomes of Education
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Katrina E. Forbes-McKay; Pauline A. M. Bremner; Pamela Johnston; Carol Air – Journal of Applied Research in Higher Education, 2025
Purpose: This study addresses gaps in the existing literature on students' understanding of Independent Learning (IL), whilst exploring the link between levels of IL, growth mindset, motivated strategies for learning and academic performance. Design/methodology/approach: Three hundred and eighty-six university students recruited via opportunistic…
Descriptors: Independent Study, Student Attitudes, Student Motivation, Learning Strategies
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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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