积极暗示在教学中的应用探讨

人们通常会不自觉地接受自己喜欢、钦佩、信任和崇拜的人的暗示。积极暗示，能够对人的心理、行为、情绪产生一定的积极影响。教师在教学实践中自觉地应用环境、人格、仪表、行为、表情等积极暗示的教学方法，能积极、有效地提高教学效果，达到期望的教学目的。     

浅谈暗示在多媒体课件设计中的应用

暗示有着不可抗拒和不可思议的巨大力量。能使对方在不加怀疑的心态下接受，并在行为上实践。在多媒体课件的设计中，可以综合运用情景暗示，结构暗示等多种暗示方式使学生在不自觉并且身心放松、气氛活跃的教学环境中更好的接受、理解、吸收文化知识。     

Learning from Different Teachers

We introduce a new model of a learner learning an unknown concept from examples with a teacher's help. In such models, outright coding refers to a situation in which the teacher sends the learner a representation of the concept, either directly or encoded via the examples. Previous models have used adversarial learners or adversarial teachers to try to prevent outright coding. Our model is an attempt to reflect more directly some of the reasons that outright coding is not a common mode of human learning.We model the learner as a Turing machine with oracle access to another programming system, called its function box. The programming system in its function box is initially unknown to the learner. The target concept is a partial recursive function and the goal of the learner is to find in its function box a function that is equal to or extends the target concept. We exhibit a class of learner/teacher pairs in which the learner can learn any partial recursive function, provided that the learner's function box is not too much slower than the teacher's. This result is shown not to hold if the learner's function box can contain an arbitrary acceptable programming system.     

一种面向解释器的间接转移预测技术

解释器广泛应用于Java虚拟机、JavaScript执行引擎等托管运行环境中.解释器通常使用间接转移指令实现字节码分派.在现代多发射多级流水的微处理器中,间接转移预测失效严重制约解释器的性能.针对解释器提出了一种字节码指针引导的间接转移预测技术,其核心思想是使用解释器特有的字节码指针值区分不同的间接转移场景.该技术使用软硬件协同的方式,解释器中插入专门的引导指令以标记字节码指针,预测器在运行时刻使用字节码指针值预测转移目标地址.实验结果表明,该技术与常用的转移目标缓冲预测器相比,能提升Java解释器的性能达34.7％,能提升JavaScript解释器的性能达8.3％,与专用的硬件间接转移预测器TTC(tagged target cache)相比,也能提升Java解释器的性能达21.9％.