Showing Is Knowing: The Potential and Challenges of Using Neurocognitive Measures of Implicit Learning in the Classroom

The value of neurocognitive measures to study memory, attention, cognition, and learning is well established. However, the vast majority of work using these tools is performed in tightly controlled lab experiments using simple lab stimuli. This article looks at the viability of using multimodal neur...

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Published inMind, brain and education Vol. 13; no. 1; pp. 30 - 40
Main Authors Dahlstrom-Hakki, Ibrahim, Asbell-Clarke, Jodi, Rowe, Elizabeth
Format Journal Article
LanguageEnglish
Published Wiley-Blackwell 01.02.2019
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Abstract The value of neurocognitive measures to study memory, attention, cognition, and learning is well established. However, the vast majority of work using these tools is performed in tightly controlled lab experiments using simple lab stimuli. This article looks at the viability of using multimodal neurocognitive instruments to measure implicit knowledge in real-world learning contexts. We focus on some of the most promising neurocognitive tools for this purpose, including eye-tracking, electroencephalography (EEG), and functional near infra-red spectroscopy (fNIRS). The specific challenges and potential of each tool are considered for use within learning contexts. These tools may be of particular importance to student populations that typically underperform on traditional learning assessments, including students with disabilities, English language learners, and students from low socioeconomic status backgrounds, among others. This review concludes with recommendations to the field for further work required to bring objective measures of implicit knowledge to real world learning contexts.
AbstractList The value of neurocognitive measures to study memory, attention, cognition, and learning is well established. However, the vast majority of work using these tools is performed in tightly controlled lab experiments using simple lab stimuli. This article looks at the viability of using multimodal neurocognitive instruments to measure implicit knowledge in real-world learning contexts. We focus on some of the most promising neurocognitive tools for this purpose, including eye-tracking, electroencephalography (EEG), and functional near infra-red spectroscopy (fNIRS). The specific challenges and potential of each tool are considered for use within learning contexts. These tools may be of particular importance to student populations that typically underperform on traditional learning assessments, including students with disabilities, English language learners, and students from low socioeconomic status backgrounds, among others. This review concludes with recommendations to the field for further work required to bring objective measures of implicit knowledge to real world learning contexts.
Author Asbell-Clarke, Jodi
Dahlstrom-Hakki, Ibrahim
Rowe, Elizabeth
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SubjectTerms At Risk Students
Attention
Cognitive Processes
Diagnostic Tests
Disabilities
English Language Learners
Eye Movements
Knowledge Level
Learning
Low Income Students
Measurement Techniques
Memory
Neurosciences
Spectroscopy
Title Showing Is Knowing: The Potential and Challenges of Using Neurocognitive Measures of Implicit Learning in the Classroom
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