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  • 标题:Active math and grammar learning engages overlapping brain networks
  • 本地全文:下载
  • 作者:Sara Stillesjö ; Linnea Karlsson Wirebring ; Micael Andersson
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2021
  • 卷号:118
  • 期号:46
  • DOI:10.1073/pnas.2106520118
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:We here demonstrate common neurocognitive long-term memory effects of active learning that generalize over course subjects (mathematics and vocabulary) by the use of fMRI. One week after active learning, relative to more passive learning, performance and fronto-parietal brain activity was significantly higher during retesting, possibly related to the formation and reactivation of semantic representations. These observations indicate that active learning conditions stimulate common processes that become part of the representations and can be reactivated during retrieval to support performance. Our findings are of broad interest and educational significance related to the emerging consensus of active learning as critical in promoting good long-term retention.
  • 关键词:active vs. passive learning; memory; neurocognitive; evidence-based teaching
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