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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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Wellberg, Sarah – Assessment in Education: Principles, Policy & Practice, 2023
Classroom assessment research in the United States has shifted away from the examination of teacher-made tests, but such tests are still widely used and have an enormous impact on students' educational experiences. Given the major shifts in educational policy in the United States, including the widespread adoption of the Common Core State…
Descriptors: Teacher Made Tests, Mathematics Tests, Common Core State Standards, Test Items
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Basyal, Deepak; Jones, Dustin L.; Thapa, Mohan – International Journal of Science and Mathematics Education, 2023
We investigated the cognitive demand of the exercise problems that middle school students from Nepal are expected to complete. The middle school (grades 6, 7, and 8) mathematics textbooks examined in this study were published and distributed by the government of Nepal. Our data set consisted of textbooks that are currently in use in public schools…
Descriptors: Cognitive Processes, Difficulty Level, Foreign Countries, Mathematics Activities
Todd A. Miles – ProQuest LLC, 2023
Instructional design in a fire academy is essential for high academic achievement while students learn the basics of firefighting and hazardous materials. It is critical to explore concerns about balancing the students' cognitive load because of a significant decline in academic achievement. Students pursuing a firefighting career at a community…
Descriptors: Cognitive Processes, Difficulty Level, Instructional Design, Academic Achievement
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Ashraf Alam; Atasi Mohanty – Cogent Education, 2023
The present study involved an experimental inquiry wherein the researcher examined the possible impact of "textual cues" and "summarising scaffolding" on cognitive load, mental model, and learning performance. The study was conducted on a sample of 122 primary school pupils from Hyderabad, India. It commenced on 20 January 2021…
Descriptors: Computer Simulation, Curriculum Design, Cognitive Processes, Difficulty Level
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Baichang Zhong; Siyu Su; Xiaofan Liu; Zehui Zhan – Interactive Learning Environments, 2023
Brief Summary: Technology-Based Embodied Learning (TBEL) is a hotspot in learning science. By systematically reviewing 49 SSCI journal articles, this paper revealed the relationship between any two of sample group, sample size, duration, subject distribution, research design, and measurement instrument, etc. In general, the major results showed…
Descriptors: Technology Uses in Education, Cognitive Processes, Comprehension, Skill Development
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Kathryn M. Rich; Aman Yadav; Charles J. Fessler – Journal of Mathematics Teacher Education, 2024
One characteristic of high-quality mathematics teaching is supporting students in engaging in tasks of high cognitive demand. In this paper, we explore relationships between two elementary teachers' efforts to integrate computational thinking (CT) practices--abstraction, debugging, and decomposition--into their mathematics instruction and their…
Descriptors: Mental Computation, Thinking Skills, Mathematics Instruction, Elementary School Mathematics
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