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Brain-computer interface applications in education: Trends and challenges
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Science & Technology Review | 2022, 40(12) : 90 - 101
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Science & Technology Review | 2022, 40(12): 90-101
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Brain-computer interface applications in education: Trends and challenges
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CHEN Jingjing1,2, WANG Fei1,2, GAO Xiaorong3, ZHANG Yu4, LI Zhuoran1,2, ZHANG Dan1,2
Affiliations
    1. Department of Psychology, School of Social Sciences, Tsinghua University, Beijing 100084, China;
    2. Tsinghua Laboratory of Brain and Intelligence, Tsinghua University, Beijing 100084, China;
    3. Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China;
    4. Institute of Education, Tsinghua University, Beijing 100084, China
Published: 2022-06-28 doi: 10.3981/j.issn.1000-7857.2022.12.008
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This paper reviews the technology and the concept of the brain-computer interface, from the three important technical features: the individualization, the real-time nature and the scenario-based property, as well as the research progresses in education from the three aspects: the learning state recognition, the individual learner trait assessment and the learning disability intervention. The problems of existing researches are then analyzed. Finally, the future application directions of the brain-computer interface are discussed in terms of understanding and optimizing the existing educational scenarios and creating new educational scenarios.
brain-computer interface  /  personalized instruction  /  cognitive state detection  /  individual trait assessment  /  cognitive intervention
CHEN Jingjing, WANG Fei, GAO Xiaorong, ZHANG Yu, LI Zhuoran, ZHANG Dan. Brain-computer interface applications in education: Trends and challenges[J]. Science & Technology Review, 2022 , 40 (12) : 90 -101 . DOI: 10.3981/j.issn.1000-7857.2022.12.008
Year 2022 volume 40 Issue 12
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doi: 10.3981/j.issn.1000-7857.2022.12.008
  • Receive Date:2022-02-28
  • Online Date:2022-08-05
  • Published:2022-06-28
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  • Received:2022-02-28
  • Revised:2022-04-14
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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