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Lucia Mason; Angelica Ronconi; Barbara Carretti; Sara Nardin; Christian Tarchi – Journal of Computer Assisted Learning, 2024
Background: Digital texts are progressively becoming the medium of learning for students, but research has indicated that students tend to process information more superficially while reading on screen. It is therefore relevant to examine what strategies can support digital text comprehension. Objectives: This study aimed to investigate the…
Descriptors: College Students, Books, Electronic Publishing, Handheld Devices
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Rebecca A. Marks; Courtney Pollack; Steven L. Meisler; Anila M. D'Mello; Tracy M. Centanni; Rachel R. Romeo; Karolina Wade; Anna A. Matejko; Daniel Ansari; John D. E. Gabrieli; Joanna A. Christodoulou – Developmental Science, 2024
Children with dyslexia frequently also struggle with math. However, studies of reading disability (RD) rarely assess math skill, and the neurocognitive mechanisms underlying co-occurring reading and math disability (RD+MD) are not clear. The current study aimed to identify behavioral and neurocognitive factors associated with co-occurring MD among…
Descriptors: Dyslexia, Executive Function, Visual Perception, Spatial Ability
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Emre Toprak; Ahmet Metin; Demet Ünalan – Psychology in the Schools, 2024
Studies showed that fear of negative evaluation of students may affect their academic motivation. However, which variables mediate between academic motivation and fear of negative evaluation is unclear. This study aims to explore the mediating role of cognitive flexibility and critical thinking in the relationship between academic motivation and…
Descriptors: Adolescents, Cognitive Processes, Critical Thinking, Thinking Skills
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Chi-Cheng Chang; Tseng-Chuan Chen – Interactive Learning Environments, 2024
This study aims to explore how e-textbooks with emotional design affect students' emotion, cognitive load and learning achievement. There were 147 freshman students in total: the experimental group I, II and control group consisted of 49, 47 and 51 students, using e-textbooks with emotional design, without emotional design and traditional paper…
Descriptors: Electronic Books, Technology Uses in Education, Handheld Devices, College Freshmen
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Yael Sidi; Rakefet Ackerman – Educational Psychology Review, 2024
When faced with challenging thinking tasks accompanied by a feeling of uncertainty, people often prefer to opt out (e.g., replying "I don't know", seeking advice) over giving low-confidence responses. In professions with high-stakes decisions (e.g., judges, medical practitioners), opting out is generally seen as preferable to making…
Descriptors: Instructional Design, Decision Making, Metacognition, Knowledge Management
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Unggi Lee; Yeil Jeong; Junbo Koh; Gyuri Byun; Yunseo Lee; Hyunwoong Lee; Seunmin Eun; Jewoong Moon; Cheolil Lim; Hyeoncheol Kim – Smart Learning Environments, 2024
This preliminary study explores how GPT-4 Vision (GPT-4V) technology can be integrated into teacher analytics through observational assessment, aiming to improve reflective teaching practice. Our study develops a Video-based Automatic Assessment System (VidAAS) powered by GPT-4V. This approach uses Generative Artificial Intelligence (GenAI) to…
Descriptors: Observation, Teaching Methods, Artificial Intelligence, Behavior
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Suzanne Ruder; Courtney Stanford; Nuha Farhat; Leslie Bolda – Journal of College Science Teaching, 2024
Students need a strong understanding of how to represent chemical compounds in order to succeed in organic chemistry. This project set out to gain a better understanding of students' difficulties with symbolic representations, by identifying the specific errors associated with drawing wedge-dash structures. The focus was on how students…
Descriptors: Undergraduate Students, Chemistry, Science Instruction, Organic Chemistry
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Jennifer Gunn – English in Texas, 2024
This paper considers the impact of technological processes on human thought, specifically the implications of artificial intelligence (AI) on writing instruction. The main purpose of this paper is to present instructional considerations that will elevate human voice and reduce student temptations to turn to AI unreasonably to produce a piece of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Writing Instruction, Developmental Studies Programs
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Seda Kavaz; Omer Kocak – International Journal of Science and Mathematics Education, 2024
This study aims to investigate the effect of the online flipped learning model (OFLM) when integrated into a mathematics course in an emergency remote teaching process on seventh grade students' academic achievement, their attitudes towards their mathematics course, and their cognitive load. The study was designed as a crossover experimental…
Descriptors: Flipped Classroom, Mathematics Instruction, Distance Education, Grade 7
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Pamela Michel-Acosta; Josefina Pepín-Ubrí; Jeanette Chaljub-Hasbún – Journal of New Approaches in Educational Research, 2024
Introduction: The Dominican Republic, due to its nature as a Small Island Developing State (SIDS), faces several challenges in the face of extreme weather phenomena such as hurricanes. Therefore, integrating technologies such as Augmented Reality (AR) in teaching these topics in class can influence student motivation and improve learning. Aim:…
Descriptors: Foreign Countries, Autism Spectrum Disorders, Physical Environment, Simulated Environment
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Sijia Chen; Jan-Louis Kruger – Interpreter and Translator Trainer, 2024
Following a preliminary study that examined the potential effectiveness of a computer-assisted consecutive interpreting (CACI) mode, this paper presents a further trial of the CACI workflow. The workflow involves respeaking using speech recognition (SR) in phase I and production assisted by the SR text and its machine translation (MT) output in…
Descriptors: Computer Assisted Instruction, Artificial Intelligence, Translation, Speech Communication
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Monika Lohani; Joel M. Cooper; Amy S. McDonnell; Gus G. Erickson; Trent G. Simmons; Amanda E. Carriero; Kaedyn W. Crabtree; David L. Strayer – Cognitive Research: Principles and Implications, 2024
The reliability of cognitive demand measures in controlled laboratory settings is well-documented; however, limited research has directly established their stability under real-life and high-stakes conditions, such as operating automated technology on actual highways. Partially automated vehicles have advanced to become an everyday mode of…
Descriptors: Cognitive Processes, Difficulty Level, Automation, Psychophysiology
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T. Vessonen; M. Dahlberg; H. Hellstrand; A. Widlund; J. Korhonen; P. Aunio; A. Laine – Educational Psychology Review, 2024
Mathematical word problem-solving skills are crucial for students across their lives, yet solving such tasks poses challenges for many. Therefore, understanding the characteristics of mathematical word problems that are associated with students' performance is important. The objective of this systematic review and meta-analysis was to evaluate the…
Descriptors: Mathematics Instruction, Word Problems (Mathematics), Problem Solving, Mathematics Achievement
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Elizabeth Adams St. Pierre – International Journal of Qualitative Studies in Education (QSE), 2024
This paper advocates reading philosophy and using its concepts in educational and social science research. The lengthy engagement with the various concepts and conceptual orders of poststructuralism required for post qualitative inquiry exceeds the scope of reading required for a conventional literature review at the beginning of a typical…
Descriptors: Qualitative Research, Reading Research, Reading Motivation, Cognitive Processes
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Fatma Bayrambas; Emine Sendurur – Education and Information Technologies, 2024
Incidental learning is a type of informal learning occurring consciously with unintentional acts. Within the scope of this study, informal learning on a digital learning platform was examined in the context of cognitive load. The current study investigated the changes in incidental learning within two different scenarios: extraneous irrelevant…
Descriptors: Incidental Learning, Cognitive Processes, Difficulty Level, Biofeedback
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