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Keiko Ishikawa; Hannah Li; Elisabeth Coster – Journal of Speech, Language, and Hearing Research, 2023
Background/Objectives: The objectives of this study were to explore (a) the influence of different types of background noise and their informational content on the ability of speakers to initiate and maintain clear speech (CS), a widely utilized technique for enhancing speech intelligibility, and (b) the impact of background noise and CS usage on…
Descriptors: Acoustics, Speech Communication, Intelligibility, Cognitive Processes
Hopman-Droste, Rachel; McEldoon, Katherine – Pearson, 2023
Pearson's Learning Foundations describe the optimal conditions for learning and reflect the learner experience Pearson hopes their products will create. Pearson does this by incorporating the Learning Design Principles. Each of the Learning Design Principles goes into detail about a key principle, supporting product design and marketing by…
Descriptors: Attention, Cognitive Processes, Difficulty Level, Theory Practice Relationship
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Cynthia Y. Delgado; Richard E. Mayer – Journal of Educational Computing Research, 2025
This study examined whether answering focused explanative questions during pauses in an immersive virtual reality (IVR) lesson on pipetting procedures could enhance learning. The goal was to take a generative learning activity, known to be effective for declarative knowledge with conventional media, to the context of procedural knowledge with…
Descriptors: Computer Simulation, Computer Uses in Education, Laboratory Procedures, Learning Activities
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Xinxin Yang; Wen Ma – International Journal of Language & Communication Disorders, 2025
Background: Aphasia is a communication disorder caused by brain damage. People with aphasia (PWA) often experience difficulties in interaction. Methods: This study uses conversation analysis (CA) and examines the interactions of 10 PWA (5 fluent and 5 non-fluent speakers) and their healthcare professionals. Aims: The study aims to to explore how…
Descriptors: Mandarin Chinese, Aphasia, Interaction, Discourse Analysis
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Lorenzo Valente; Federico De Lorenzis; Davide Calandra; Fabrizio Lamberti – IEEE Transactions on Learning Technologies, 2025
In recent years, first responders have faced increasing challenges in their operations, highlighting a growing need for specialized and comprehensive training. In particular, the firefighting incident commanders (ICs) are playing a pivotal role, providing directions to field operators and making critical decisions in emergency situations. Over…
Descriptors: Fire Protection, Experiential Learning, Job Training, Computer Simulation
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Bilal Simsek; Bekir Direkci; Betül Koparan; Mehmet Canbulat; Mevlüt Gülmez; Emel Nalçacigil – Education and Information Technologies, 2025
The purpose of this study is to examine the effect of the duration of students' augmented reality (AR) experience on reading comprehension and cognitive load in reading activities carried out with an augmented reality storybook. The participants are 134 secondary school students aged between 11 and 12 attending a school in Antalya. They were…
Descriptors: Computer Simulation, Reading Comprehension, Difficulty Level, Cognitive Processes
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Yoonhee Shin; Jaewon Jung; Seohyun Choi; Bokmoon Jung – Education and Information Technologies, 2025
This study investigates the effects of metacognitive and cognitive strategies for computational thinking (CT) on managing cognitive load and enhancing problem-solving skills in collaborative programming. Four different scaffolding conditions were provided to help learners optimize cognitive load and improve their problem-solving abilities. A total…
Descriptors: Scaffolding (Teaching Technique), Mental Computation, Cognitive Processes, Difficulty Level
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Abdennabi Lakrim; Mohamed Chergui; Bouazza El Wahbi – Journal of Education and Learning (EduLearn), 2025
This study is a contribution to efforts to promote practices for dealing with the difficulties encountered by learners in probabilistic modeling situations. We attempt to elucidate as precisely as possible the types of difficulties that secondary school students face in the process of modeling with probability tools. By referring to a large and…
Descriptors: Probability, Difficulty Level, Correlation, Classification
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Clara Dumebi Moemeke; Joy Nkiruka Chukwunenye; Nasrudeen Ayinde Malik – Educational Considerations, 2025
Inquiry-based learning (IBL) represents a dynamic pedagogical approach in science education, driven by a foundation of deep theoretical constructs. This paper meticulously examines the cornerstone theoretical underpinnings of IBL, centering on constructivism, situated cognition, and cognitive load theories. Constructivism, epitomized by Piaget's…
Descriptors: Inquiry, Active Learning, Science Education, Constructivism (Learning)
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James Russo; Tim Powers; Jane Hubbard; Sarah Buckley; Sharyn Livy – Journal of Mathematics Teacher Education, 2025
Prior research has revealed a variety of factors associated with teacher views around when to incorporate challenging mathematical tasks into instruction, such as teachers' pedagogical content knowledge and their prior assumptions about student ability. There has been less focus on how motivational beliefs (teacher anxiety, enjoyment, confidence)…
Descriptors: Mathematics Instruction, Teacher Motivation, Anxiety, Psychological Patterns
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Fatma Gizem Karaoglan Yilmaz; Ramazan Yilmaz – Journal of Computing in Higher Education, 2025
Task complexity emerges as one of the factors affecting the computer-supported collaborative learning (CSCL) process, group dynamics, and processes. Upon reviewing the literature, it becomes apparent that there are conflicting results regarding the impact of escalating task complexity on group dynamics and collaboration processes. The lack of…
Descriptors: Cooperative Learning, Computer Uses in Education, Difficulty Level, Group Dynamics
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Robin Junker; Jennifer Janeczko; Alena Lehmkuhl; Verena Zucker; Manfred Holodynski; Nicola Meschede – Education and Information Technologies, 2025
The adoption of virtual learning environments (VLEs) in education has grown significantly due to their potential to enhance learning. Effective learning in VLEs depends on managing cognitive load and sustaining motivation, particularly for complex tasks like developing teachers' professional vision -- the ability to notice and interpret classroom…
Descriptors: Models, Prompting, Electronic Learning, Computer Simulation
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Conrad Borchers; Zachary A. Pardos – Journal of Learning Analytics, 2025
Inadequate consideration of course workload in undergraduate students' course selections has contributed to adverse academic outcomes. At the same time, credit hours, the default institutional metric to convey time-based course workload to students, has been shown to capture students' experienced workload insufficiently. Recent research documents…
Descriptors: Course Selection (Students), Difficulty Level, Undergraduate Students, Learning Analytics
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John Elwood Romig; Amanda A. Olsen – Educational Studies, 2025
Research on the effects of background music has historically produced mixed findings. This study examined whether listening to background music impacted participants' writing fluency and perceived cognitive load. Participants in this experiment were 109 attendees of a science and history museum. Participants had to be at least six years old to…
Descriptors: Writing Skills, Writing (Composition), Student Attitudes, Cognitive Processes
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Stuart Webb; Ana Pellicer-Sánchez; Andi Wang – Reading in a Foreign Language, 2025
The present study is a partial replication of the most widely cited study of lexical coverage and reading comprehension by Hu and Nation (2000). Ninety-four advanced L2 learners read a short story at one of 90%, 95%, 98%, and 100% lexical coverage and then completed a 14-item reading comprehension test. The results showed that although…
Descriptors: Reading Comprehension, Vocabulary, Difficulty Level, English (Second Language)
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