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Marc P. Janson; Oliver Dickhäuser – Journal of Experimental Education, 2025
Feedback significantly impacts learning outcomes, yet interindividual differences in feedback preferences remain understudied. We postulate and test a fitting feedback framework assuming that feedback framings matching personal preferences produce positive effects. We conducted two learning experiments including feedback representing different…
Descriptors: Cognitive Processes, Difficulty Level, Feedback (Response), Preferences
He, Hong; Chen, Yunyun; Li, Ting; Li, Hui; Zhang, Xuemin – Cognitive Research: Principles and Implications, 2023
Considerable research suggests a link between mind wandering and diminished levels of motivation and interest. During episodes of mind wandering, individuals may engage in efforts to redirect their attention back to the task at hand (known as focus back effort). Building on the resource-control hypothesis, we hypothesized that the influence of…
Descriptors: Attention Control, Student Motivation, Student Interests, Individual Differences
Laura Galeano; Gustaf Gredebäck – Cognitive Science, 2024
We investigated the relations between self-reported math anxiety, task difficulty, and pupil dilation in adults and very young children during math tasks of varying difficulty levels. While task difficulty significantly influenced pupillary responses in both groups, the association between self-reported math anxiety and pupil dilation differed…
Descriptors: Mathematics Anxiety, Difficulty Level, Task Analysis, Eye Movements
Huan Li; Qinghui Hou; Ren Mu; Yating Wang; Yating Yang – Journal of Creative Behavior, 2025
Although research on team performance-prove goal orientation (TPPGO) has flourished, there remains a scarcity of studies investigating its impact on individual performance. Drawing upon transactional stress theory, our study aims to explore the dual nature of the influence exerted by TPPGO on employee creative performance. Employing a multi-level…
Descriptors: Teamwork, Job Performance, Goal Orientation, Individual Differences
Cha Li; Mingcai Sui – Studies in Second Language Learning and Teaching, 2025
This study examined the relationship between complexity, accuracy and fluency (CAF), using longitudinal data. Conducted from the perspective of complex dynamic systems theory (CDST), this research adopted four CAF general measures to track the development of five Chinese undergraduates' English speech over a 15-week period. LOWESS graphs supported…
Descriptors: English (Second Language), Speech Communication, Accuracy, Language Fluency
Linnenbrink-Garcia, Lisa – Discourse Processes: A Multidisciplinary Journal, 2022
The articles in this special issue take an important step in beginning to test the PET framework. Together, these articles illustrate the importance of considering individual differences in attitudes and prior knowledge as well as differences in task demands when investigating the role of emotions in shaping cognitive processing while reading…
Descriptors: Psychological Patterns, Individual Differences, Student Attitudes, Prior Learning
Anita Marie Knox – ProQuest LLC, 2024
This quantitative study examined the effects of stored color knowledge on learning achievement and cognitive load using a randomized pretest-posttest control group design. Social media was used to recruit 60 adult participants, randomized into control and experimental groups. A multimedia lesson was presented where the control group viewed images…
Descriptors: Color, Cognitive Processes, Difficulty Level, Knowledge Level
Perfors, Andrew; Kidd, Evan – Cognitive Science, 2022
Humans have the ability to learn surprisingly complicated statistical information in a variety of modalities and situations, often based on relatively little input. These statistical learning (SL) skills appear to underlie many kinds of learning, but despite their ubiquity, we still do not fully understand precisely what SL is and what individual…
Descriptors: Statistics Education, Individual Differences, Perception, Stimuli
Lee, Yuan-Hsuan; Hong, Huang-Yao – Interactive Learning Environments, 2023
This study investigated multimodal multiple text comprehension (MMTC) among forty-eight Taiwanese university students, considering their cognitive and affective characteristics. A randomized trial with pre- and post-tests design was applied. The experiment group received a browser-embedded note-taking device along with epistemic prompting. The…
Descriptors: Foreign Countries, College Students, Reading Comprehension, Individual Differences
David Menendez; Sarah A. Brown; Martha W. Alibali – Cognitive Science, 2023
Why do people shift their strategies for solving problems? Past work has focused on the roles of contextual and individual factors in explaining whether people adopt new strategies when they are exposed to them. In this study, we examined a factor not considered in prior work: people's evaluations of the strategies themselves. We presented…
Descriptors: Individual Differences, Problem Solving, Learning Strategies, Self Evaluation (Individuals)
Madeleine Long; Hannah Rohde; Michelle Oraa Ali; Paula Rubio-Fernandez – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
This study aims to advance our understanding of the nature and source(s) of individual differences in pragmatic language behavior over the adult lifespan. Across four story continuation experiments, we probed adults' (N = 496 participants, ages 18-82) choice of referential forms (i.e., names vs. pronouns to refer to the main character). Our…
Descriptors: Attention Control, Individual Differences, Pragmatics, Aging (Individuals)
Xiao-Fan Lin; Seng Yue Wong; Wei Zhou; Weipeng Shen; Wenyi Li; Chin-Chung Tsai – International Journal of Science and Mathematics Education, 2024
Research evidence indicated that a specific type of augmented reality-assisted (AR-assisted) science learning design or support might not suit or be effective for all students because students' cognitive load might differ according to their experiences and individual characteristics. Thus, this study aimed to identify undergraduate students'…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Foreign Countries
David Menendez; Sarah A. Brown; Martha W. Alibali – Grantee Submission, 2023
Why do people shift their strategies for solving problems? Past work has focused on the roles of contextual and individual factors in explaining whether people adopt new strategies when they are exposed to them. In this study, we examined a factor not considered in prior work: people's evaluations of the strategies themselves. We presented…
Descriptors: Individual Differences, Problem Solving, Learning Strategies, Self Evaluation (Individuals)
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
Hoogerheide, Vincent; Roelle, Julian – Applied Cognitive Psychology, 2020
Decades of research has shown that example-based learning is an effective instructional strategy for learning new skills. The field of learning from examples is seeing a shift in focus towards more innovative and use-inspired research, in part because the use of examples for informal and formal learning purposes has mushroomed. This special issue…
Descriptors: Observational Learning, Problem Solving, Cognitive Processes, Difficulty Level

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