军校合训学员计算机课程教学优化改革

针对军校合训学员的现实特点以及计算机课程教学中暴露出来的若干问题,从教员配置、教员主观能动性发挥、课程内容调整以及考核方式优化改革4个方面介绍合训人才计算机课程教学的实践经验。     

基于四轴飞行器的合训类本科毕业设计实践

针对信息化战争的发展趋势和基础合训类学员的任职需求,以提高学员的综合实践能力和激发学员的学习兴趣为目的,介绍基于AR.Drone四轴飞行器开展飞行器控制软件的合训类本科毕业设计的探索实践。     

基于军队院校微型机应用技术课程建设的思考

围绕部队对指挥军官人才的培养需求,结合目前高校微型机应用技术课程教学现状,对课程内容设置、师资队伍建设、教学方法、考核方式等方面提出一系列改革思路,以解放军信息工程大学合训学员为教学实施对象组织教学,教学效果表明这种改革可以有效调动学员学习积极性,提高教学质量。     

浅谈武警院校合训学员的计算机基础课教学

警部队信息化建设的大力推进,对官兵个人信息技术水平提出更高的要求。计算机基础课教学在提高合训学员信息技术水平方面起着十分重要的作用。针对合训学员自身的特殊特点,科学构建课程体系与教学内容,从四个方面对计算机基础课的教学方法和手段进行深入探讨。     

以培养计算思维为目标的任务驱动教学模式研究

在推进院校教育"向实战聚焦、向部队靠拢"的探索实践中,以合训专业学员培养为例,说明以培养学员计算思维能力为目标的任务驱动教学模式,从增强任务的层次性、突出任务的真实性、提高任务的目标性、注重任务的启发性4方面探讨任务设计思路,通过计算机程序设计课程具体的教学活动说明实践模式的实施过程。     

基于计算思维的任务驱动模式中任务设计思路探析

结合合训专业学员的培养情况和计算机基础课程的学习现状,提出基于计算思维的任务驱动模式中任务设计的基本思路。主要从增强任务的层次性、突出任务的真实性、提高任务的目标性、注重任务的启发性四个方面进行探讨。     

合训人才科技创新能力培养实践与思考

针对合训人才的特点,从指导教员与学员的角色定位、正确处理各种关系,构建科技创新的良好环境以及渐进式培养,促进持续创新三个方面,描述了近年来,指导教员在合训人才科技创新能力培养的实践经验和思考。     

关于军队院校“网络对抗”课程教学改革实践问题研究

开设"网络对抗"课程,集网络攻击知识和网络安全防护知识于一体,是军队院校计算机科学与技术、网络工程合训与非合训专业岗位任职教育核心课程。为此本文对军队院校"网络对抗"课程教学改革实践问题进行了研究。     

嵌入式支撑环境构建及其在军事应用中的教学研究

嵌入式的快速发展,使信息化革命又推向了一个新的思潮,相应人们的生活、工作方式也发生了深刻的变化,在日趋紧张的国际战争环境下,为了使军校的培养计划向部队靠拢,向实战靠拢,对合训分流学员的特点进行了深入的调查研究,结合计算机嵌入式课程教学的特点,对构建嵌入式系统支撑环境以及嵌入式课程的组织方式进行了系统的阐述,并以军事案例为牵引,综合考虑军事院校现有条件和资源,开展多元融合、协同驱动的教学活动,使嵌入式课程在军队信息化作战中发挥更大的作用。     

合训院校初级指挥军官信息素质培养问题探析

合训院校初级指挥军官信息素质的高低直接影响高科技条件下信息化战争的指挥决策效能。在分析合训院校初级指挥军官应具备的信息素质基础上,提出了针对初级指挥军官信息素质能培养建立课程体制、创新教育手段以及完善评价机制。     

Robotic clicker training

In this paper, we want to propose the idea that some techniques used for animal training might be helpful for solving human–robot interaction problems in the context of entertainment robotics. We present a model for teaching complex actions to an animal-like autonomous robot based on “clicker training”, a method used efficiently by professional trainers for animals of different species. After describing our implementation of clicker training on an enhanced version of AIBO, Sony’s four-legged robot, we argue that this new method can be a promising technique for teaching unusual behavior and sequences of actions to a pet robot.     

Controlled descent training

In this work, a novel and model-based artificial neural network (ANN) training method is developed supported by optimal control theory. The method augments training labels in order to robustly guarantee training loss convergence and improve training convergence rate. Dynamic label augmentation is proposed within the framework of gradient descent training where the convergence of training loss is controlled. First, we capture the training behavior with the help of empirical Neural Tangent Kernels (NTK) and borrow tools from systems and control theory to analyze both the local and global training dynamics (e.g., stability, reachability). Second, we propose to dynamically alter the gradient descent training mechanism via fictitious labels as control inputs and an optimal state feedback policy. In this way, we enforce locally $$ optimal and convergent training behavior. The novel algorithm, Controlled Descent Training (CDT), guarantees local convergence. CDT unleashes new potentials in the analysis, interpretation, and design of ANN architectures. The applicability of the method is demonstrated on standard regression and classification problems.     

Influences of cognitive style and training method on training effectiveness

The present study compares the relative effects of cognitive style and training method on learners' computer self-efficacy and learning performance by a field experiment. The purpose was to determine which training method could be best utilized in computer-related training while taking trainees' cognitive style into account. The significant two- and three-way interactions indicate the critical roles that personal characteristics and situation factors play as joint determinants of behavior. Gender did significantly moderate the effects of training method on performance and self-efficacy. The cognitive by training method effects were most significant for female participants. This finding suggests that to assist individuals taking IT-related training courses, the contingency effects of gender, cognitive style, training approach, and training objective should be taken into account.     

Microprocessor training equipment

Effective microprocessor training courses are necessary if maximum benefits are to be achieved from the new technology. These courses sholud contain a large fraction of practical hands-on exercises using equipment that resembles as closely as possible that used in design and development laboratories. This article summarizes the tasks that must be carried out in microprocessor training equipment available. The aim is to enable the correct decisions about equipment to be made when setting up a training laboratory.