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When stimulus variability accelerates the learning of task knowledge in adults and school-aged children. Q J Exp Psychol (Hove) 2024:17470218241246189. [PMID: 38561322 DOI: 10.1177/17470218241246189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Experience with instances that vary in their surface features helps individuals to form abstract task knowledge, leading to transfer of that knowledge to novel contexts. The current study sought to examine the role of this variability effect in how adults and school-aged children learn to engage cognitive control. We focused on the engagement of cognitive control in advance (proactive control) and in response to conflicts (reactive control) in a cued task-switching paradigm, and conducted four preregistered online experiments with adults (Experiment 1A: N = 100, Experiment 1B: N = 105) and 9- to 10-year-olds (Experiment 2A: N = 98, Experiment 2B: N = 97). It was shown that prior task experience of engaging reactive control makes both adults and 9- to 10-year-olds respond more slowly in a subsequent similar-structured condition with different stimuli in which proactive control could have been engaged. 9- to 10-year-olds (Experiment 2B) exhibited more negative transfer of a reactive control mode when uninformative cue and pre-target stimuli, which do not convey task-relevant information, were changed in each block, compared with when they were fixed. Furthermore, adults showed suggestive evidence of the variability effect both when cue and target stimuli were varied (Experiment 1A) and when uninformative cue and pre-target stimuli were varied (Experiment 1B). The collective findings of these experiments provide important insights into the contribution of stimulus variability to the engagement of cognitive control.
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The effect of comprehensive working memory training on executive functions and behavioral symptoms in children with attention deficit-hyperactivity disorder (ADHD). Asian J Psychiatr 2023; 81:103469. [PMID: 36669291 DOI: 10.1016/j.ajp.2023.103469] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 01/12/2023] [Accepted: 01/16/2023] [Indexed: 01/19/2023]
Abstract
This study aimed to evaluate the effect of working memory training on executive functions and behavioral symptoms in children with ADHD. Thirty children with ADHD were randomly assigned to active control or Active Memory Intervention (AMIN) group. Executive functions and rating scales were used for assessment in three baseline, post-intervention, and 1-month follow-up sessions. The results show AMIN improves working memory and inhibitory control as well as ameliorates ADHD symptoms at home and school. Working memory training is beneficial and transferable intervention in children with ADHD.
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Brain Activity Associated with the Planning Process during the Long-Time Learning of the Tower of Hanoi (ToH) Task: A Pilot Study. SENSORS (BASEL, SWITZERLAND) 2022; 22:8283. [PMID: 36365987 PMCID: PMC9654550 DOI: 10.3390/s22218283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 10/21/2022] [Accepted: 10/26/2022] [Indexed: 06/16/2023]
Abstract
Planning and decision-making are critical managerial functions involving the brain's executive functions. However, little is known about the effect of cerebral activity during long-time learning while planning and decision-making. This study investigated the impact of planning and decision-making processes in long-time learning, focusing on a cerebral activity before and after learning. The methodology of this study involves the Tower of Hanoi (ToH) to investigate executive functions related to the learning process. Generally, ToH is used to measure baseline performance, learning rate, offline learning (following overnight retention), and transfer. However, this study performs experiments on long-time learning effects for ToH solving. The participants were involved in learning the task over seven weeks. Learning progress was evaluated based on improvement in performance and correlations with the learning curve. All participants showed a significant improvement in planning and decision-making over seven weeks of time duration. Brain activation results from fMRI showed a statistically significant decrease in the activation degree in the dorsolateral prefrontal cortex, parietal lobe, inferior frontal gyrus, and premotor cortex between before and after learning. Our pilot study showed that updating information and shifting issue rules were found in the frontal lobe. Through monitoring performance, we can describe the effect of long-time learning initiated at the frontal lobe and then convert it to a task execution function by analyzing the frontal lobe maps. This process can be observed by comparing the learning curve and the fMRI maps. It was also clear that the degree of activation tends to decrease with the number of tasks, such as through the mid-phase and the end-phase of training. The elucidation of this structure is closely related to decision-making in human behavior, where brain dynamics differ between "thinking and behavior" during complex thinking in the early stages of training and instantaneous "thinking and behavior" after sufficient training. Since this is related to human learning, elucidating these mechanisms will allow the construction of a brain function map model that can be used universally for all training tasks.
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Learning and Transfer in Problem Solving Progressions. J Intell 2022; 10:jintelligence10040085. [PMID: 36278607 PMCID: PMC9590082 DOI: 10.3390/jintelligence10040085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 10/04/2022] [Accepted: 10/08/2022] [Indexed: 11/23/2022] Open
Abstract
Do individuals learn more effectively when given progressive or variable problem-solving experience, relative to consistent problem-solving experience? We investigated this question using a Rubik’s Cube paradigm. Participants were randomly assigned to a progression-order condition, where they practiced solving three progressively more difficult Rubik’s Cubes (i.e., 2 × 2 × 2 to 3 × 3 × 3 to 4 × 4 × 4), a variable-order condition, where they practiced solving three Rubik’s Cubes of varying difficulty (e.g., 3 × 3 × 3 to 2 × 2 × 2 to 4 × 4 × 4), or a consistent-order condition, where they consistently practiced on three 5 × 5 × 5 Rubik’s Cubes. All the participants then attempted a 5 × 5 × 5 Rubik’s Cube test. We tested whether variable training is as effective as progressive training for near transfer of spatial skills and whether progressive training is superior to consistent training. We found no significant differences in performance across conditions. Participants’ fluid reasoning predicted 5 × 5 × 5 Rubik’s Cube test performance regardless of training condition.
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The Pursuit of Effective Working Memory Training: a Pre-registered Randomised Controlled Trial with a Novel Varied Training Protocol. JOURNAL OF COGNITIVE ENHANCEMENT 2021. [DOI: 10.1007/s41465-021-00235-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
AbstractWorking memory (WM) training, typically entailing repetitive practice with one or two tasks, has mostly yielded only limited task-specific transfer effects. We developed and tested a new WM training approach where the task paradigm, stimulus type, and predictability of the stimulus sequence were constantly altered during the 4-week training period. We expected that this varied training protocol would generate more extensive transfer by facilitating the use of more general strategies that could be applied to a range of WM tasks. Pre-post transfer effects following varied training (VT group, n = 60) were compared against traditional training (TT group, training a single adaptive WM task, n = 63), and active controls (AC, n = 65). As expected, TT evidenced strong task-specific near transfer as compared to AC. In turn, VT exhibited task-specific near transfer only on one of the measures, and only as compared to the TT group. Critically, no evidence for task-general near transfer or far transfer effects was observed. In sum, the present form of VT failed to demonstrate broader transfer. Nevertheless, as VT has met with success in other cognitive domains, future studies should probe if and how it would be possible to design WM training protocols that promote structural learning where common features of specific tasks would be identified and utilised when selecting strategies for novel memory tasks.
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Transfer: A Review for Biology and the Life Sciences. CBE LIFE SCIENCES EDUCATION 2020; 19:es9. [PMID: 32870091 PMCID: PMC8711802 DOI: 10.1187/cbe.19-11-0227] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 04/15/2020] [Accepted: 04/24/2020] [Indexed: 05/09/2023]
Abstract
Transfer of knowledge from one context to another is one of the paramount goals of education. Educators want their students to transfer what they are learning from one topic to the next, between courses, and into the "real world." However, it is also notoriously difficult to get students to successfully transfer concepts. This issue is of particular concern in biology and the life sciences, for which transfer of concepts between disciplines is especially critical to understanding. Students not only struggle to transfer concepts like energy from chemistry to biology but also struggle to transfer concepts like chromosome structures in cell division within biology courses. This paper reviews the current research and understanding of transfer from cognitive psychology. We discuss how learner abilities, taught material, and lesson characteristics affect transfer and provide best practices for biology and life sciences education.
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Cognitive rehabilitation in children with attention deficit- hyperactivity disorder: Transferability to untrained cognitive domains and behavior. Asian J Psychiatr 2020; 49:101949. [PMID: 32114377 DOI: 10.1016/j.ajp.2020.101949] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 12/29/2019] [Accepted: 02/09/2020] [Indexed: 10/25/2022]
Abstract
Transferability of cognitive rehabilitation is a crucial point for efficacy. The purpose of the present study is to determine the transfer effect of cognitive rehabilitation to the untrained cognitive domains and behavior in children with attention deficit- hyperactivity disorder (ADHD). Thirty children with ADHD randomly allocated into two intervention and control groups. The intervention group received cognitive rehabilitation in 12-15 sessions. Analyses indicated that the experimental group shows an improvement in the trained domain. The result found a lack of near transfer to selective attention and inhibitory control with a successful far transfer effect to the risky decision making and delay discounting. Furthermore, the transfer occurred to behavioral symptoms of the intervention group. Attention and working memory training decrease delay discounting and delay discounting. The near transfer is not a prerequisite of far transfer. Cognitive rehabilitation can transfer horizontally to other cognitive domains at the same level and vertically to behaviors in a top-down manner.
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Language Processing. Cognition 2019. [DOI: 10.1017/9781316271988.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Methods of Cognitive Psychology. Cognition 2019. [DOI: 10.1017/9781316271988.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Cognitive Psychologists’ Approach to Research. Cognition 2019. [DOI: 10.1017/9781316271988.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Visual Imagery. Cognition 2019. [DOI: 10.1017/9781316271988.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Index. Cognition 2019. [DOI: 10.1017/9781316271988.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Decision Making and Reasoning. Cognition 2019. [DOI: 10.1017/9781316271988.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Attention. Cognition 2019. [DOI: 10.1017/9781316271988.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Long-Term Memory Structure. Cognition 2019. [DOI: 10.1017/9781316271988.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Problem Solving. Cognition 2019. [DOI: 10.1017/9781316271988.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Preface. Cognition 2019. [DOI: 10.1017/9781316271988.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Sensory and Working Memory. Cognition 2019. [DOI: 10.1017/9781316271988.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Memory Retrieval. Cognition 2019. [DOI: 10.1017/9781316271988.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Visual Perception. Cognition 2019. [DOI: 10.1017/9781316271988.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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References. Cognition 2019. [DOI: 10.1017/9781316271988.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Language Structure. Cognition 2019. [DOI: 10.1017/9781316271988.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Concepts and Categories. Cognition 2019. [DOI: 10.1017/9781316271988.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Long-Term Memory Processes. Cognition 2019. [DOI: 10.1017/9781316271988.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Glossary. Cognition 2019. [DOI: 10.1017/9781316271988.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Is planning related to dynamic testing outcomes? Investigating the potential for learning of gifted and average-ability children. Acta Psychol (Amst) 2019; 196:87-95. [PMID: 31005781 DOI: 10.1016/j.actpsy.2019.04.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Revised: 02/15/2019] [Accepted: 04/04/2019] [Indexed: 11/23/2022] Open
Abstract
This study investigated the potential of dynamic testing of geometric analogical reasoning in differentiating between the potential for learning of gifted and average-ability children (aged 9-10 years old). In doing so, it was analysed whether planning, a higher-order executive function, was related to outcomes of the dynamic test, and to instructional needs during training. Employing a pretest-training-post-test control group design, participants were split into four subgroups: gifted dynamic testing (n = 24), gifted control (n = 26), average-ability dynamic testing (n = 48) and average-ability control (n = 50). The results revealed that children who were dynamically tested progressed more in accuracy from pre-test to post-test than their peers who received practice opportunities only. Gifted children outperformed their average-ability peers in accuracy, but showed similar levels of improvement after training or practice only. Moreover, gifted children showed they needed fewer prompts during training than their average-ability peers. Planning was found to be related only to pre-test accuracy, and the number of prompts needed at the first training session, but not to post-test accuracy or the number of prompts needed at the second training session. In the discussion, educational implications of the findings were discussed.
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