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Lee, Emily; Cormier, Kayla; Sharma, Anu – Cognitive Research: Principles and Implications, 2022
Aim: To investigate mask use and the difficulties it may pose during communication in healthcare settings. Methods: A survey utilizing a series of Likert scales was administered. Mask use challenges between clinicians and their patients were examined in the domains of communication, listening effort, cognition, and rehabilitation. Results: Across…
Descriptors: Health Services, Disease Control, Communication Problems, Safety Equipment
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Khong, Hou Keat; Kabilan, Muhammad Kamarul – Computer Assisted Language Learning, 2022
The notion of "Micro-Learning" (ML) has been repeatedly accented as a successful learning approach in different learning phenomena. Despite these optimistic emphases, several studies lack a theoretical grounding in adoption of ML, thus missing a shared perspective of the education community. The scarce theoretical justification for…
Descriptors: Second Language Instruction, Cognitive Processes, Difficulty Level, Self Determination
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Joseph, Tanya N.; Morey, Candice C. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Previous work with complex memory span tasks, in which simple choice decisions are imposed between presentations of to-be-remembered items, shows that these secondary tasks reduce memory span. It is less clear how reconfiguring and maintaining various amounts of information affects decision speeds. We introduced preliminary "lead-in"…
Descriptors: Short Term Memory, Cognitive Processes, Difficulty Level, Reaction Time
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Paula Chica, Maritza Gisella; Aguilar Morocho, Elva Katherine – Journal of Language and Linguistic Studies, 2022
The objective of this research has been the analysis of the effectiveness of sports performance through a program, based on the assimilation of contents from a previous diagnosis. The almost-experimental design was applied like a pre- during program. Eighty-two students from Basic Education Career of UPSE have participated in this study, developed…
Descriptors: Foreign Countries, Attention, Athletics, College Students
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Rosenberg-Kima, Rinat B.; Merrill, M. David; Baylor, Amy L.; Johnson, Tristan E. – Educational Technology Research and Development, 2022
Novice programmers, who have yet to form effective mental models of the domain, often experience high cognitive load, low confidence, and high anxiety, negatively affecting learning and retention rates. These cognitive and affective limitations pose an instructional challenge. This study aimed to investigate the effectiveness of a whole-task…
Descriptors: Computer Science Education, Instructional Effectiveness, Novices, Programming
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Toney, Allison F.; Boul, Stephen D. – PRIMUS, 2022
Based on our work teaching undergraduate Calculus courses, we offer insight into teaching the chain rule to reduce cognitive load for students. A particularly difficult topic for students to grasp, problems likely arise due to student struggles with the concept of function and, particularly, function composition relative to when they first…
Descriptors: College Mathematics, Undergraduate Study, Mathematics Instruction, Difficulty Level
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Jingjing Ma; Qingtang Liu; Shufan Yu; Jindian Liu; Xiaojuan Li; Chunhua Wang – British Journal of Educational Technology, 2025
This research employs the fuzzy-set qualitative comparative analysis (fsQCA) method to investigate the configurations of multiple factors influencing scientific concept learning, including augmented reality (AR) technology, the concept map (CM) strategy and individual differences (eg, prior knowledge, experience and attitudes). A quasi-experiment…
Descriptors: Science Education, Scientific Concepts, Comparative Analysis, Qualitative Research
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Haoxin Xu; Tianrun Deng; Xianlong Xu; Xiaoqing Gu; Lingyun Huang; Haoran Xie; Minhong Wang – Education and Information Technologies, 2025
In the 21st century, the urgent educational demand for cultivating complex skills in vocational training and learning is met with the effectiveness of the four-component instructional design model. Despite its success, research has identified a notable gap in the address of formative assessment, particularly within computer-supported frameworks.…
Descriptors: Models, Instructional Design, Computer Assisted Testing, Formative Evaluation
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Chaoyang Jin; Jing Yan – Language Learning Journal, 2025
This systematic review aims to explore how task complexity and task sequencing affect the complexity, accuracy, and fluency (CAF) of second language performance. Through an analysis of studies conducted between 2012 and 2021, this review investigates the characteristics of the studies, operationalisation of task complexity, measurements of CAF,…
Descriptors: Second Language Learning, Difficulty Level, Language Fluency, Accuracy
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Jie Bai; Xiulan Cheng; Hui Zhang; Yihang Qin; Tao Xu; Yun Zhou – Education and Information Technologies, 2025
The advancement of AI-generated content (AIGC) has made creating pedagogical agents (PAs) for multimedia learning increasingly realistic, simpler, and more efficient. However, little is known about the acceptance of AI-generated pedagogical agents (AIPAs) in picture book videos among young children aged 3-6. To address this, the present study…
Descriptors: Artificial Intelligence, Technology Uses in Education, Man Machine Systems, Picture Books
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Yan Zhang; Wen Guo; Anam Nazneen Tara; Xiaochen Cao; Huifen Wu; Hui Shi – Education and Information Technologies, 2025
Critical thinking (CT) is an essential skill in today's ever-changing society. Yet, the influences of instructional strategy, a crucial factor of educational outcomes, on the development of CT remains unclear. We proposed that the instructional strategy played a significant role in fostering CT and aimed to explore the complex neural mechanisms…
Descriptors: Critical Thinking, Teaching Methods, Skill Development, College Students
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Süleyman Özdel; Can Sarpkaya; Efe Bozkir; Hong Gao; Enkelejda Kasneci – International Educational Data Mining Society, 2025
Transforming educational technologies through the integration of large language models (LLMs) and virtual reality (VR) offers the potential for immersive and interactive learning experiences. However, the effects of LLMs on user engagement and attention in educational environments remain open questions. In this study, we utilized a fully…
Descriptors: Technology Uses in Education, Educational Technology, Artificial Intelligence, Computer Simulation
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Michaela Arztmann; Jessica Lizeth Domínguez Alfaro; Lisette Hornstra; Jacqueline Wong; Johan Jeuring; Liesbeth Kester – British Journal of Educational Technology, 2025
A distinct feature of educational games using augmented reality (AR) is that the game is played through physically interacting with the environment, whereas physical interaction is typically rather limited in other digital games. Understanding and performing the interactive game mechanics can be cognitively demanding. Adding pre-training could…
Descriptors: Computer Simulation, Artificial Intelligence, Training, Cognitive Processes
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Pengelley, James; Whipp, Peter R.; Rovis-Hermann, Nina – Educational Psychology Review, 2023
The aim of the present study is to reconcile previous findings (a) that testing mode has no effect on test outcomes or cognitive load (Comput Hum Behav 77:1-10, 2017) and (b) that younger learners' working memory processes are more sensitive to computer-based test formats (J Psychoeduc Assess 37(3):382-394, 2019). We addressed key methodological…
Descriptors: Scores, Cognitive Processes, Difficulty Level, Secondary School Students
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Storozuk, Andie; Retanal, Fraulein; Maloney, Erin A. – Journal of Numerical Cognition, 2023
Comparison shopping is good financial practice, but situations involving numbers and computations are challenging for consumers with math anxiety. We asked North Americans (N = 256) to select the better deal between two products differing in volume and price. As predicted, math anxiety was negatively related to performance on this Price Comparison…
Descriptors: Mathematics Anxiety, Money Management, Consumer Economics, Cognitive Processes
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