Background And Aims: Although errors and failures are indispensable parts of the learning process, the current theoretical models and empirical research remain inadequate to provide a comprehensive perspective for learning from errors, considering the roles of different agents, settings, and support mechanisms. Addressing these gaps in the literature, this special issue collects 11 research papers related to learning from errors and failure in educational contexts. In this commentary, we synthesize the findings of these papers with previous work, address conceptual and methodological challenges based on these papers and their implications, and provide suggestions to enhance educational practices.
Results: The special issue papers varying in regard to research design, subject domain, participants, and learning setting presented findings about four main themes: (1) contextual factors (e.g. organization and error climate) as an enabler and barrier, (2) individual factors (e.g. motivational beliefs and emotions) in learners' processing of errors, (3) error- or failure-related learning processes, and (4) instructional strategies (e.g. feedback and prompts) to support learning from errors. Critical evaluation of these papers also revealed conceptual (e.g. error vs. failure) and methodological (e.g. generic vs. error-specific measures and instruments) challenges, which also paved the way for directions for future research.
Conclusion: Overall, 11 papers in this special issue provide significant empirical evidence about learning from errors and failure in educational contexts. Synthesizing the findings of both these papers and prior research, we also present suggestions to construct an educational environment conducive to learning from errors.
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http://dx.doi.org/10.1111/bjep.12716 | DOI Listing |
Alzheimers Dement
December 2024
National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Background: With increased for promoting neuroplasticity in older adults through Cognitive training (CT), the study aimed to develop culturally relevant caregiver-driven model of CT for dementia called the Individualized Cognitive Augmentation Regimen for Elderly (iCARE).
Method: The study has three phases- 1. Development Phase- Included a) literature review, b) item generation, c) expert rating, d) field trial (n = 3), and e) feedback and modification.
Alzheimers Dement
December 2024
University of Melbourne, Parkville, VIC, Australia.
Background: Alzheimer's disease (AD) is a progressive neurodegenerative condition, with considerable variation in disease progression from the mild cognitive impairment (MCI) stage. Predicting disease progression will support prognostic decisions and patient management. Here we designed a machine learning (ML) stack model, where a classifier was used to differentiate MCI progressors from non-progressors (i.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Department of Neurology, Harvard Medical School, Boston, MA, USA.
Background: Semantic memory refers to knowledge of attributes associated with common objects. Quantifying the strength of semantic association between successive 'animal' fluency responses can be challenging. The current research assessed between-group differences for 'animal' fluency total output and selected verbal serial list learning, episodic memory measures.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Cumulus Neuroscience, Dublin, Ireland.
Background: Current tools for Alzheimer's disease screening and staging used in clinical research (e.g. ACE-3, ADAS-Cog) require substantial face-to-face time with trained professionals, and may be affected by subjectivity, "white coat syndrome" and other biases.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Department of Neurology, Harvard Medical School, Boston, MA, USA.
Background: There is an urgent need for neuropsychological screening tests that are easily deployed and reliable. We have developed a digital neuropsychological screening protocol that is administered on a tablet, automatically scored using artificial intelligence, and requires approximately 10 minutes to administer. This tablet-administered protocol assesses the requisite neurocognitive constructs associated with emergent neurodegenerative illness METHOD: The digital protocol was administered to 77 ambulatory care/ memory clinic patients (Table1).
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