Supporting emotion regulation in individuals with ASD,ADHD and bipolar disorder through trauma-informed instruction and self-regulation strategies     

Lauren A. Delisio  Diane Casale-Giannola  Caitlyn A. Bukaty 《Journal of Research in Special Educational Needs》2023,23(2):136-146

Since the beginning of the COVID-19 pandemic, students have endured drastic changes in educational routines. Such disruptions can be especially challenging for students who struggle with executive functioning, self-regulation and emotion regulation, such as students with autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD) and bipolar disorder. Using a framework of trauma-informed instruction, the authors supported classroom teachers in implementing sensory spaces for students with ASD, ADHD and bipolar disorder. The project included professional development and funding for teachers to develop, procure and offer sensory tools and strategies to assist students in recognising and managing emotions. The authors collected data on the effectiveness of the sensory supports, combining teacher surveys and student behaviour data. Results indicated increased teacher knowledge on trauma-informed instruction and use of sensory supports to promote executive functioning and self-regulation and decreased target behaviours in students based on structured observation and anecdotal teacher feedback.  相似文献   

Dynamic commonsense knowledge fused method for Chinese implicit sentiment analysis     

《Information processing & management》2022,59(3):102934

Compared with explicit sentiment analysis that attracts considerable attention, implicit sentiment analysis is a more difficult task due to the lack of sentimental words. The abundant information in an external sentimental knowledge base can play a significant complementary and expansion role. In this paper, a sentimental commonsense knowledge graph embedded multi-polarity orthogonal attention model is proposed to learn the implication of the implicit sentiment. We analyzed the effectiveness of different knowledge relations in the ConceptNet knowledge base in detail, and proposed a matching and filtering method to distill useful knowledge tuples for implicit sentiment analysis automatically. By introducing the sentimental information in the knowledge base, the proposed model can extend the semantic of a sentence with an implicit sentiment. Then, a bi-directional long–short term memory model with multi-polarity orthogonal attention is adopted to fuse the distilled sentimental knowledge with the semantic embedding, effectively enriching the representation of sentences. Experiments on the SMP2019-ECISA implicit sentiment dataset show that our model fully utilizes the information of the knowledge base and improves the performance of Chinese implicit sentiment analysis.  相似文献   

Multi-heterogeneous neighborhood-aware for Knowledge Graphs alignment     

《Information processing & management》2022,59(1):102790

Entity alignment is an important task for the Knowledge Graph (KG) completion, which aims to identify the same entities in different KGs. Most of previous works only utilize the relation structures of KGs, but ignore the heterogeneity of relations and attributes of KGs. However, these information can provide more feature information and improve the accuracy of entity alignment. In this paper, we propose a novel Multi-Heterogeneous Neighborhood-Aware model (MHNA) for KGs alignment. MHNA aggregates multi-heterogeneous information of aligned entities, including the entity name, relations, attributes and attribute values. An important contribution is to design a variant attention mechanism, which adds the feature information of relations and attributes to the calculation of attention coefficients. Extensive experiments on three well-known benchmark datasets show that MHNA significantly outperforms 12 state-of-the-art approaches, demonstrating that our approach has good scalability and superiority in both cross-language and monolingual KGs. An ablation study further supports the effectiveness of our variant attention mechanism.  相似文献   

射击运动员的注意力要求及其培养     

廖彦罡 《科教文汇》2014,(12):102-103

本文针对体育运动中注意力要求较高的射击运动员进行了剖析,分析射击项目中注意的要求,并对运动员的注意力培养和训练进行了一定的探讨,期待为今后的训练和比赛提供有益的经验和参考。  相似文献   

运动水平和特质焦虑水平对 负性词注意偏向的影响          下载免费PDF全文

平捷  谢士玺 《河北体育学院学报》2018,32(6):76-81

运用文献资料法、实验法和数理统计法,探讨运动水平、特质焦虑水平对个体负性词注意偏向的影响。依据特质焦虑和运动水平,将受试者分为4组,每组10人,运用2（运动水平）× 2（特质焦虑水平）的多因素组间实验设计方法开展研究。研究结果表明：①高特质焦虑个体存在对负性词的注意偏向,且低运动水平的个体表现更明显;②高特质焦虑个体对负性词存在注意定向偏向和注意固着。以为运动员赛前注意训练提供理论依据。  相似文献   

运动技能的内隐学习与分心练习——对应激的抵御   总被引：1，自引：0，他引：1  

任杰  章建成  杨烨  金亚虹  朱骎  李年红 《体育科学》2001,(3)

为抵御应激对运动技能水平发挥的影响 ,研究以轨迹追踪任务为实验范式 ,将 32名被试分 4组在不同条件下进行为期 12 d的练习 ,并比较了各组在两种应激条件下的测试结果。结果显示 :对于复杂的操作任务 ,内隐学习比外显学习更有效。分心练习所获得运动技能较少受高应激的影响  相似文献   

个体价值的高扬：杨朱思想新论     

《荆州师范学院学报》2005,28(4):49-51

  相似文献   

我国学习者英语心理发展阶段规划中注意的相对稳定性     

刘齐宣 《玉溪师范学院学报》2004,20(4):51-52

在我国英语学习者英语心理发生和发展的不同阶段 ,心理发生和发展要求阶段内注意范围和注意对象类型具有相对稳定性。因此 ,心理发展阶段内注意的相对稳定性是我国英语教学认知规划的一个重要主体依据。  相似文献   

关于新时期加强思想政治工作的几点思考     

刘秀芝 《承德职业学院学报》2001,6(2):54-55

我国的改革开放和社会主义现代化建设已进入关键时期 ,加强思想政治工作是非常迫切的 ,主要措施就是找准关键点、切入点和着力点。  相似文献   

类脑智能研究现状与发展思考   总被引：1，自引：0，他引：1       下载免费PDF全文

徐波  刘成林  曾毅 《中国科学院院刊》2016,31(7):793-802

近年来人工智能研究的许多重要进展反映了一个趋势:来自脑科学的启发,即使是局部的借鉴都能够有效地提升现有人工智能模型与系统的智能水平。然而,想要真正逼近乃至超越人类水平的人工智能,还需要对脑信息处理机制更为深入的研究和借鉴。类脑智能研究的目标就是通过借鉴脑神经结构及信息处理机制,实现机制类脑、行为类人的下一代人工智能系统。文章从受脑启发的新一代人工神经网络、基于记忆、注意和推理的认知功能模型、基于生物脉冲神经网络的多脑区协同认知计算模型等角度,并结合研究团队在类脑智能领域的研究进展,论述类脑智能的研究进展、发展方向和对未来发展的思考。  相似文献