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Capturing Self-Regulated Learning Processes in Virtual Reality: Causal Sequencing of Multimodal Data
Marta Sobocinski; Daryn Dever; Megan Wiedbusch; Foysal Mubarak; Roger Azevedo; Sanna Järvelä – British Journal of Educational Technology, 2024
This study examines the embodied ways in which learners monitor their cognition while learning about exponential functions in an immersive virtual reality (VR) based game, "Pandemic" by Prisms of Reality. Traditionally, metacognitive monitoring has been assessed through behavioural traces and verbalised instances. When learning in VR,…
Descriptors: Computer Simulation, Educational Games, Video Games, Metacognition
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
Toni Honicke; Jaclyn Broadbent; Matthew Fuller-Tyszkiewicz – Higher Education Research and Development, 2023
According to Bandura's theory of reciprocal determinism, self-efficacy and academic achievement can have a mutual influence over one another. While empirical research generally supports this position, little focus has been given to within- and between-person factors that may moderate this relationship. The present study explored how initial…
Descriptors: Self Efficacy, Academic Achievement, Difficulty Level, Student Attitudes
Tomás Hyland; Niall Seery; Jeffrey Buckley – European Journal of Engineering Education, 2024
An association between spatial ability, particularly visualisation, and science, technology, engineering, and mathematics (STEM) education has been repeatedly demonstrated over the past four decades. Understanding this relationship is of critical importance as substantial evidence illustrates the malleability of spatial ability and that the…
Descriptors: Spatial Ability, Predictor Variables, Retention (Psychology), Visualization
Almaz Mesghina; Elayne Vollman; Kelly Trezise; Lindsey Engle Richland – Journal of Educational Psychology, 2024
We investigated whether worked examples could be used to reduce cognitive load on mathematics learners who may have reduced available cognitive resources due to experiencing anxiety or excess stress. Across 2 days, 280 fifth-grade students learned from a difficult lesson on ratio, half of whom reviewed worked examples at key problem-solving…
Descriptors: Stress Variables, Grade 5, Mathematics Instruction, Mathematics Anxiety
Hoch, Emely; Sidi, Yael; Ackerman, Rakefet; Hoogerheide, Vincent; Scheiter, Katharina – Educational Psychology Review, 2023
It is well established in educational research that metacognitive monitoring of performance assessed by self-reports, for instance, asking students to report their confidence in provided answers, is based on heuristic cues rather than on actual success in the task. Subjective self-reports are also used in educational research on cognitive load,…
Descriptors: Metacognition, Self Efficacy, Self Evaluation (Individuals), Student Behavior
Jon-Chao Hong; Jhen-Ni Ye; Jian-Hong Ye; Ling-Wen Kung – Interactive Learning Environments, 2024
Attentional control theory indicates that concentration is considered an important variable that contributes to learning. There are some devices for players to practice their concentration, but there are few virtual reality (VR) designs which can increase the level of difficulty for students to discipline their mental concentration with…
Descriptors: Attention Control, Predictor Variables, Cognitive Processes, Difficulty Level
Almaz Mesghina; Elayne Vollman; Kelly Trezise; Lindsey Engle Richland – Grantee Submission, 2023
We investigated whether worked examples could be used to reduce cognitive load on mathematics learners who may have reduced available cognitive resources due to experiencing anxiety or excess stress. Across 2 days, 280 fifth-grade students learned from a difficult lesson on ratio, half of whom reviewed worked examples at key problem-solving…
Descriptors: Stress Variables, Grade 5, Mathematics Instruction, Mathematics Anxiety
Chen, Yi-Ching; Chang, Yu-Shan; Chuang, Meng-Jung – Journal of Computer Assisted Learning, 2022
Virtual reality (VR) can promote design performance, and may generate a high cognitive load and affect creative design thinking as well. In order to examine the effect of VR application on cognitive load and engineering design creativity, this study recruited 81 eighth-grade students as participants and employed a non-equivalent-groups…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Creative Thinking
Own, Chung-Ming; Cai, Tingting; Hung, Cheng-Yu – IEEE Transactions on Learning Technologies, 2023
Studies have highlighted the possible advantages of tangible user interfaces (TUIs) over multitouch interfaces (MTIs) in preschool education; however, more objective evidence is required to establish the superiority of TUIs. In this article, we design a mathematical application called THE NUMBERS to compare preschool children's learning potential…
Descriptors: Preschool Children, Preschool Education, Computer Interfaces, Computer Uses in Education
Kinsey, Alan Wesley – ProQuest LLC, 2022
With the increase in online course enrollments each year, there is a continued examination of online course persistence, particularly in accelerated online courses. This examination of online course persistence has typically examined individual learner factors as contributors to persistence. However, research examining the institutional and…
Descriptors: Cognitive Processes, Difficulty Level, Student Motivation, Predictor Variables
Leppink, Jimmie; Pérez-Fuster, Patricia – Educational Psychology Review, 2019
Self-rated mental effort has been and continues to be the most widely used measure of cognitive load. This single-item measure is often used as a predictor variable in linear models for predicting performance or some other response variable. While an advantage of linear models is that they are fairly easy to understand, they fall short when the…
Descriptors: Cognitive Processes, Difficulty Level, Predictor Variables, Time on Task
Young, John Q.; Thakker, Krima; John, Majnu; Friedman, Karen; Sugarman, Rebekah; van Merriënboer, Jeroen J. G.; Sewell, Justin L.; O'Sullivan, Patricia S. – Advances in Health Sciences Education, 2021
Cognitive Load Theory has emerged as an important approach to improving instruction in the health professions workplace, including patient handovers. At the same time, there is growing recognition that emotion influences learning through numerous cognitive processes including motivation, attention, working memory, and long-term memory. This study…
Descriptors: Psychological Patterns, Cognitive Processes, Difficulty Level, Short Term Memory
Avgerinou, Vana A.; Tolmie, Andrew – British Journal of Educational Psychology, 2020
Background: Prior research with adults and children suggests that inhibitory control may have a role to play in learning counterintuitive fractions and decimals that are inconsistent with whole number knowledge. However, there is little research to date with primary school-aged children at the early stages of fraction and decimal instruction that…
Descriptors: Elementary School Students, Inhibition, Fractions, Arithmetic
Young, John Q.; Thakker, Krima; John, Majnu; Friedman, Karen; Sugarman, Rebekah; Sewell, Justin L.; O'Sullivan, Patricia S. – Applied Cognitive Psychology, 2021
We used the cognitive load inventory for handoffs (CLIH) to identify predictors of cognitive load types during patient handoffs in order to identify opportunities to improve instruction. In 2019, out of a total of 1,807 residents and fellows within a 24-hospital health system, 693 (38.4%) completed the CLIH after a patient handoff. Multivariable…
Descriptors: Predictor Variables, Cognitive Processes, Difficulty Level, Instructional Improvement