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Jason Webb – ProQuest LLC, 2024
The goal of this qualitative study was to answer the question: How do educators make sense of learning in virtual reality? This study utilized multimedia learning theory and cognitive load theory to explore how educators understand virtual reality in education. Pre- and post-interviews as well as a VR experience were conducted with 13 educators…
Descriptors: Electronic Learning, Computer Simulation, Technology Uses in Education, Multimedia Instruction
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Xiaodong Wei; Lei Wang; Lap-Kei Lee; Ruixue Liu – Journal of Educational Computing Research, 2025
Notwithstanding the growing advantages of incorporating Augmented Reality (AR) in science education, the pedagogical use of AR combined with Pedagogical Agents (PAs) remains underexplored. Additionally, few studies have examined the integration of Generative Artificial Intelligence (GAI) into science education to create GAI-enhanced PAs (GPAs)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Models, Science Education
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Ghanis Putra Widhanarto; Zamzami Zainuddin; Titi Prihatin; Sunawan Sunawan; Amirul Mukminin; Seftia Kusumawardani; Mulawarman Mulawarman – Information and Learning Sciences, 2025
Purpose: This study aims to examine the effectiveness of Web-based interactive (WBI) presentations in reducing students' cognitive load and increasing their situational interest in learning. Traditionally, many learning practices fail to optimize students' cognitive resources by presenting irrelevant content and activities. However, practical…
Descriptors: Internet, Web Based Instruction, Gamification, Cognitive Processes
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Alexander Eitel; Marie-Christin Krebs; Claudia Schöne – Educational Psychology Review, 2025
Given the many opportunities for technology use in education nowadays (e.g., Large language models, explainer videos, digital quizzing), teachers should know and rely on evidence-based answers to questions about when, how, and why technology-augmented instruction helps or hinders learning. To date, finding these answers requires integrating…
Descriptors: Predictor Variables, Technology Uses in Education, Educational Technology, Computer Assisted Instruction
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Chih-Hung Wu; Vu Tran Ho – Education and Information Technologies, 2025
The present study investigated the potential of ChatGPT in enhancing the learning outcomes and engagement. Data were gathered from a survey of 687 university personnel and higher education students who utilized ChatGPT for educational purposes. The conceptual framework of the study was validated and analyzed using partial least squares structural…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Benefits, Learner Engagement
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Dean Cairns – Large-scale Assessments in Education, 2025
A considerable body of research on student-led learning focuses on approaches such as inquiry learning in science education. However, the effectiveness of such approaches for developing conceptual understanding is less than certain. One concern is that student-led practices can overload students' working memory and impede their ability to learn…
Descriptors: Cognitive Processes, Difficulty Level, Student Centered Learning, Science Education
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Aan Hendrayana; Anwar Mutaqin – Educational Process: International Journal, 2025
Background/purpose: This study investigates the effectiveness of Problem-Based Learning (PBL) integrated with scaffolding in enhancing problem-solving skills among students with varying levels of prior knowledge. The main objective is to determine how scaffolding, when combined with PBL, can support students in developing stronger problem-solving…
Descriptors: Foreign Countries, Problem Based Learning, Scaffolding (Teaching Technique), Problem Solving
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Lisa Carey; William Sadera; Alison Pritchard – Journal of Technology and Teacher Education, 2025
Technology-rich learning environments in which students use digital devices such as laptops and tablets may over-task students' executive functions (EF). However, limited research has examined how well teachers understand these demands or recognize EF-related challenges in digital learning contexts. This study investigated U.S. K-12 teachers'…
Descriptors: Electronic Learning, Cognitive Processes, Difficulty Level, Executive Function
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Hebatalla Nazmy; Merida Valentin-Mendez – Journal of Educational Technology Systems, 2025
Knowledge of building code is required for most building design licenses. However, designers often find the process confusing and overwhelming. The cognitive load theory suggests dividing information between visual and verbal formats reduces working memory burden, while concept mapping and mobile apps enhance learning. This study tests the…
Descriptors: Building Design, Design Requirements, Interior Design, Handheld Devices
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Farkish, Araz; Bosaghzadeh, Alireza; Amiri, S. Hamid; Ebrahimpour, Reza – Education and Information Technologies, 2023
Educational multimedia has proven to be an effective and efficient way of learning. Designers strive to produce multimedia that convey concepts most efficiently. That is to design multimedia that imposes the least possible cognitive load on the learner. Mayer's multimedia design principles are well-known, and multiple pieces of research have…
Descriptors: Educational Technology, Multimedia Materials, Cognitive Processes, Difficulty Level
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Ober, Teresa M.; Lu, Yikai; Blacklock, Chessley B.; Liu, Cheng; Cheng, Ying – Journal of Psychoeducational Assessment, 2023
We develop and validate a self-report measure of intrinsic and extrinsic cognitive load suitable for measuring the constructs in a variety of learning contexts. Data were collected from three independent samples of college students in the U.S. (N[subscript total]= 513; M[subscript age]= 21.13 years). Kane's (2013) framework was used to validate…
Descriptors: Test Construction, Test Validity, Cognitive Processes, Difficulty Level
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Kienitz, Anna; Krebs, Marie-Christin; Eitel, Alexander – Instructional Science: An International Journal of the Learning Sciences, 2023
Previous research often revealed detrimental effects of seductive details on learning with multimedia instruction, but there are mixed findings regarding how to best explain these detrimental effects. We investigated whether the detrimental effects of seductive details are mainly mediated by the cognitive processes of diversion (deeper processing…
Descriptors: Multimedia Instruction, Cognitive Processes, Difficulty Level, Relevance (Education)
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Song, Ningyuan; Chen, Kejun; Jin, Xiufang; Zhao, Yuehua – Journal of Computer Assisted Learning, 2023
Background: In the digital environment, users' academic reading behaviour has changed, working with many articles simultaneously to search, filter, scan, link, annotate and analyse content fragments. The semantic enhancement environment has been widely set with semantic technologies to offer additional and handy support for users and thus…
Descriptors: Reading Processes, Reading Skills, Semantics, Cognitive Processes
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Costley, Jamie; Lange, Christopher – Interactive Learning Environments, 2023
The use of e-learning personalization allows learners to control their learning by choosing which content to process and how to process it. In order to explain the processes that occur when students use e-learning personalization, this study looks at how it interacts with two other variables: sequencing and fading, a scaffolding technique where…
Descriptors: Electronic Learning, Individualized Instruction, Cognitive Processes, Difficulty Level
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Kang, Sangmi – Journal of Research in Music Education, 2023
The purpose of this study was to examine music teachers' experiences with flow while performing and teaching music. A model with four flow antecedents (Challenge, Skills, Goal Clarity, and Feedback) and three dimensions of flow state (Absorption, Enjoyment, and Intrinsic Motivation) was adopted to investigate music teachers' flow experiences in…
Descriptors: Music Teachers, Musicians, Music Education, Performance
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