基于外域范例可拓推理的研究

基于范例推理(CBR)是人类常用的一种解决问题方式,也是人工智能的一种研究范式,在许多领域都得到了应用。但CBR也可能受到心理定势和负迁移的影响,对于创造性思维有一定的负面作用。研究对CBR进行了改进,提出了在外域搜索范例并作可拓变换的方法,称为基于外域范例的可拓推理,并将它运用到产品创新构思系统的设计中,为把认知心理学应用到国家经济建设中提供了新思路。     

贵州省高师本科大学生学业自我效能感与心理健康水平的研究

运用大学生学业自我效能感量表和SCL-90症状自评量表对高师本科大学生进行调查,探讨其学业自我效能感与心理健康水平的关系。结果表明：1、在学习能力自我效能感上,大一至大四学生无年级、性别、专业的显著差异;在学习行为自我效能感上,大三、大四差异显著;2、大四与其他各年级学生在自评症状各因子上存在极显著差异,男女生在自评症状的强迫和偏执两因子上存在显著差异;3、学业自我效能感高的学生与学业自我效能感低的学生在人际关系敏感、抑郁因子上差异显著;4、自我效能感与心理健康水平存在较高相关。     

Promoting “Healthy Futures” to Reduce Risk Behaviors in Urban Youth: A Randomized Controlled Trial

There is increasing evidence of the interconnection between educational and health outcomes. Unfortunately wide disparities exist by both socioeconomic status and race/ethnicity in educational and vocational success. This study sought to promote urban youths’ career readiness as a way to reduce involvement in risk behaviors. Two hundred primarily African‐American youth (ages 14–21) were recruited from a pediatric primary care clinic. Youth randomized to the intervention received three motivational interviewing sessions focused around expectations and planning for the future. Baseline and 6‐month follow‐up assessments included measures of career readiness and risk behavior involvement (i.e., physical fighting, alcohol and marijuana use). At 6‐months, youth randomized to the intervention condition showed increased confidence in their ability to perform the behaviors needed to reach their college/career goals. Additionally, youth randomized to the intervention arm showed decreased fighting behavior (adjusted rate ratio: .27) and marijuana use (adjusted rate ratio: .61). Assisting urban youth in thinking and planning about their future holds promise as a way to reduce their involvement in risk behaviors. This study also demonstrated that motivational interviewing could be used to promote positive behaviors (i.e., career readiness).     

对我国高等医学教育学制与学位改革和发展的思考

通过对国内外医学教育学制与学位的比较,以及对我国目前试行的住院医师培训制度存在问题的分析,提出我国六年制培养医学硕士的模式;认为这有利于提高中国高等医学教育层次,有利于统一医学教育学制和学位,有利于国际交流;也为毕业生衔接新体制留下了接口。     

孟子荀子教育思想比较

孟子和苟子分别以“性善论”和“性恶论”为教育思想的道德基础。在教育方法上孟子强调由内而外,“反求诸己”的自我教育;而苟子强调外在的礼义教化,“隆礼”、“尊师”。他们教育的目的都是为了实现儒家的“仁政”。     

Harnessing members' positive mood for team-directed learning behaviour and team innovation: The moderating role of perceived team feedback

This study examines the role of individual team members' positive mood and perceived team feedback for their team-directed learning behaviour. Results obtained in a sample of 186 members from 27 work teams showed that positive mood was positively associated with team-directed learning behaviour if individual members perceived that the feedback they received was based on the performance of the team as a whole, but not if they perceived such team feedback to be lacking. Moreover, teams were found to be more innovative to the extent that their members, on average, engaged in team-directed learning behaviour to a greater extent. These results offer new insights into the micro-foundations of team learning. Our findings explicate why the contributions of individual members to their team's learning may differ and suggest that, if managed effectively, members' positive mood may be an important resource in facilitating team learning.     

小学儿童数学焦虑的潜在类别转变及其父母教育卷入效应：3年纵向考察

研究采用潜在转变分析考察小学儿童数学焦虑的类别转变以及父母教育卷入在小学儿童数学焦虑类别转变中的作用。以1720名三、四年级儿童为被试, 对其数学焦虑和感知到的父母教育卷入进行3次追踪, 每次间隔1年。结果表明：(1)小学儿童数学焦虑存在低数学焦虑组、高数学评估焦虑组和高数学获得焦虑组3种不同类别; (2)随时间的推移, 高数学评估焦虑组倾向于向低数学焦虑组转变, 高数学获得焦虑组倾向于向高数学评估焦虑组转变, 而低数学焦虑组稳定性较强; (3)父亲/母亲教育卷入对儿童数学焦虑类别转变的预测作用, 因不同的数学焦虑类别而异。上述发现为深入理解数学焦虑的形成机制以及干预措施的制定提供了重要参考。     

The performance space measurement of regional innovation system based on neuropsychology

In this paper, the performance space measurement of regional innovation system was studied based on neuropsychology. Firstly, the neuropsychology and neural evolution theory were elaborated. Secondly, the genetic algorithm was used to design a regional enterprise performance space measurement model, and this was obtained by connecting the ERP production module and RBF neural network order forecast module. Finally, the algorithm and model constructed in this paper were used to predict the performance of regional foreign trade innovation system. Then, it is concluded that the model constructed in this paper includes the network with the lowest network structure complexity, the smallest training error and the least test error. Therefore, based on this premise, a good neural network that meets the actual needs of users can be obtained, which indicates that the improved method based on evolutionary neural network is effective to measure the performance of regional innovation system.