Training self-assessment and task-selection skills to foster self-regulated learning: Do trained skills transfer across domains?
Appl Cogn Psychol
; 32(2): 270-277, 2018.
Article
in En
| MEDLINE
| ID: mdl-29610547
ABSTRACT
Students' ability to accurately self-assess their performance and select a suitable subsequent learning task in response is imperative for effective self-regulated learning. Video modeling examples have proven effective for training self-assessment and task-selection skills, and-importantly-such training fostered self-regulated learning outcomes. It is unclear, however, whether trained skills would transfer across domains. We investigated whether skills acquired from training with either a specific, algorithmic task-selection rule or a more general heuristic task-selection rule in biology would transfer to self-regulated learning in math. A manipulation check performed after the training confirmed that both algorithmic and heuristic training improved task-selection skills on the biology problems compared with the control condition. However, we found no evidence that students subsequently applied the acquired skills during self-regulated learning in math. Future research should investigate how to support transfer of task-selection skills across domains.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Language:
En
Journal:
Appl Cogn Psychol
Year:
2018
Document type:
Article
Publication country:
ENGLAND
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ESCOCIA
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GB
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GREAT BRITAIN
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INGLATERRA
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REINO UNIDO
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SCOTLAND
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UK
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UNITED KINGDOM