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Jamie Costley; Anna Gorbunova; Matthew Courtney; Ouhao Chen; Christopher Lange – European Journal of Psychology of Education, 2024
In terms of instructional sequencing and cognitive load research, it remains unclear what effect different instructional sequences have on cognitive load and how to use problem-solving support within instructional sequences to reduce cognitive load. The current study examines how instructional sequencing and problem-solving support interact with…
Descriptors: Problem Solving, Cognitive Processes, Difficulty Level, Academic Achievement
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San Bolkan; Alan K. Goodboy – Communication Education, 2024
The effect of instructor clarity on student learning has been explained using cognitive load theory, which stipulates that students have limited mental resources to devote to activities pertaining to learning. To date, the effect of teacher clarity on students' cognitive burden has been studied in reference to students' extraneous cognitive load…
Descriptors: Cognitive Processes, Difficulty Level, Teacher Effectiveness, Prediction
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Felix Krieglstein; Maik Beege; Lukas Wesenberg; Günter Daniel Rey; Sascha Schneider – Educational Psychology Review, 2025
In research practice, it is common to measure cognitive load after learning using self-report scales. This approach can be considered risky because it is unclear on what basis learners assess cognitive load, particularly when the learning material contains varying levels of complexity. This raises questions that have yet to be answered by…
Descriptors: Cognitive Processes, Difficulty Level, Instructional Materials, Problem Solving
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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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Nick Serki; San Bolkan – Communication Education, 2024
This study tested the notion that the impact of clarity (i.e., structure) on learning is indirect and occurs, in part, through the reduction of cognitive load and subsequently through students' motivation to process instructional information. Two hundred fifty-two students were randomly assigned to one of two text-based lessons (clear or unclear)…
Descriptors: College Students, Difficulty Level, Cognitive Processes, Student Motivation
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Shu Chen; Xiaoting Liu; Norfarizah Mohd Bakhir; Yang Yu – Education and Information Technologies, 2024
This paper studies the effect of learning efficiency through various animations in conjunction with instructional teaching of traditional Intangible Cultural Heritage (ICH) crafts projects. The germane cognitive load (GCL) is defined as an investment in cognitive resources for schema development and automation. This study employs four…
Descriptors: Difficulty Level, Cognitive Processes, Schemata (Cognition), Cultural Background
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Wang, Wei-Tsong; Kartika Sari, Mega – Journal of Educational Computing Research, 2024
The designs of gamification platforms are diverse and constantly evolving. Excessive use of various game mechanisms in learning platforms can distract from the learning process. However, the fit of game mechanisms is still uncertain. Thus, this study investigates the effect of achieving fit when implementing game mechanisms on learning outcomes by…
Descriptors: Gamification, Educational Technology, Design, Cognitive Processes
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Lange, Christopher – Open Learning, 2023
Cognitive processing issues online may be reduced through e-learning personalisation, which allows learners to address individual learning needs by controlling how they process information. While some research shows that e-learning personalisation may actually complicate information processing under specific circumstances, this study examines…
Descriptors: Electronic Learning, Individualized Instruction, Cognitive Processes, Difficulty Level
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Irina Shcheglova; Jamie Costley; Elena Gorbunova; Christopher Lange – Innovations in Education and Teaching International, 2025
Although satisfaction with academic experience in the context of higher education has been an area of research for nearly 40 years, it is still unclear how pedagogical practices in the development of thinking skills are related to students' satisfaction. This study aims to investigate the relationships between students' satisfaction and the levels…
Descriptors: Thinking Skills, Skill Development, Student Satisfaction, Student Experience
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Shirong Zhang; Bjorn B. de Koning; Fred Paas – Applied Cognitive Psychology, 2024
The split-attention effect posits that learning outcomes are negatively impacted when interrelated text and graphics are spatially segregated rather than cohesively integrated. This study explored how the instructional material's presentation size influences the manifestation of the split-attention effect. Based on cognitive load theory and…
Descriptors: Instructional Materials, Attention, Layout (Publications), Text Structure
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Ling Wu; Shuxin Wang – Education and Information Technologies, 2025
Contemporary technological advancements offer new possibilities for enhancing user creativity. We aimed to explore how technology can boost student creativity to meet the twenty-first century's demand for innovative talent. Based on the 4P model of creativity (person, process, product, and press) and constructivist theory, a virtual reality (VR)…
Descriptors: Computer Simulation, Brain, Biofeedback, Creativity
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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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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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José Carlos Vázquez-Parra; Marco Cruz-Sandoval; Carlos Sotelo; David Sotelo; Martina Carlos-Arroyo; Jorge Welti-Chanes – Higher Education, Skills and Work-based Learning, 2024
Purpose: This article aims to present the results of an exploratory pilot study that demonstrates the validity of a self-created implementation methodology to develop the students' level of perceived achievement of the social entrepreneurship competency and explain how this is equally valid in developing the perceived achievement of the complex…
Descriptors: College Students, Foreign Countries, Cognitive Processes, Difficulty Level
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Lishan Zhang; Lili Liu; Shuwen Wang; Min Xu; Sixv Zhang; Yun Tang – Journal of Computer Assisted Learning, 2025
Background: Collaborative reading can facilitate students' understanding of complex learning materials. High-quality annotations provided by peer learners are essential for successful collaborative reading. However, it remains to be understood how annotation quality affects reading comprehension. Objectives: A simulated collaborative reading…
Descriptors: Educational Quality, Documentation, Reading Processes, Eye Movements
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