任务与兴趣驱动教学法在《计算机网络实用技术》教学中的应用

针对现阶段职业教育中计算机网络专业普遍存在的问题,从兴趣任务驱动教学法入手,以《计算机网络实用技术》课程为例,对课程的教学理念、教学实施过程及实施效果进行了探索。     

计算机应用基础任务驱动教学法

计算机应用基础是高校各专业学生必修的公共基础课,采用任务驱动教学方法能体现计算机应用基础课程教学的特点,培养适合社会需要的高素质应用人才。本文根据目前高校计算机应用基础教育的现状及特点,就该课程任务驱动教学法的模式、效果以及应注意的问题等进行了探讨。     

基于项目的任务驱动式教学方法在LINUX教学中的应用

为化解LINUX操作系统在学习过程中的枯燥、难学的问题。本文在分析项目教学与任务驱动式教学的基础上,提出了基于项目的任务驱动式教学法,并给出了在LINUX操作系统教学应用实例。     

如何在计算机相关教学中采用机器人的思考

在高职开设创新类课程非常必要,对传统课程的改革也十分紧迫,机器人作为一个教育领域的的新兴事物,如何与传统课程相结合是一个值得深思的问题。该文就计算机专业教学机器人应用的相问题有了一些思索。     

Online learning of task-driven object-based visual attention control

We propose a biologically-motivated computational model for learning task-driven and object-based visual attention control in interactive environments. In this model, top-down attention is learned interactively and is used to search for a desired object in the scene through biasing the bottom-up attention in order to form a need-based and object-driven state representation of the environment. Our model consists of three layers. First, in the early visual processing layer, most salient location of a scene is derived using the biased saliency-based bottom-up model of visual attention. Then a cognitive component in the higher visual processing layer performs an application specific operation like object recognition at the focus of attention. From this information, a state is derived in the decision making and learning layer. Top-down attention is learned by the U-TREE algorithm which successively grows an object-based binary tree. Internal nodes in this tree check the existence of a specific object in the scene by biasing the early vision and the object recognition parts. Its leaves point to states in the action value table. Motor actions are associated with the leaves. After performing a motor action, the agent receives a reinforcement signal from the critic. This signal is alternately used for modifying the tree or updating the action selection policy. The proposed model is evaluated on visual navigation tasks, where obtained results lend support to the applicability and usefulness of the developed method for robotics.     

《Flash动画设计》课程教学设计研究

论文从课程定位、教学内容设计、教学过程设计和教学方法使用等方面的课程的教学设计进行了探讨.结合课程的特点,在基于工作过程的课程设计思想基础上,分析和设计了项目单元教学过程,并综合分析了在教学中使用的项目教学法、案例教学法、任务驱动教学法等教学方法,同时分析了课程考核方式.     

《Web程序设计》课程教学方法初探

阐述了将现代教学理念融入《Web程序设计》课程的具体过程，总结了《Web程序设计》课程教学中的一些不同于传统课程的特殊教学方法和心得体会。     

Semi-supervised Software Defect Prediction Using Task-Driven Dictionary Learning

We present a semi-supervised approach for software defect prediction.The proposed method is designed to address the special problematic characteristics of software defect datasets,namely,lack of labeled samples and class-imbalanced data.To alleviate these problems,the proposed method features the following components.Being a semi-supervised approach,it exploits the wealth of unlabeled samples in software systems by evaluating the confidence probability of the predicted labels,for each unlabeled sample.And we propose to jointly optimize the classifier parameters and the dictionary by a task-driven formulation,to ensure that the learned features (sparse code) are optimal for the trained classifier.Finally,during the dictionary learning process we take the different misclassification costs into consideration to improve the prediction performance.Experimental results demonstrate that our method outperforms several representative stateof-the-art defect prediction methods.     

基于混合遗传算法的任务驱动分组优化研究

智能算法应用到教学领域来实现自动分组具有重要意义。针对网络学习环境下任务驱动教学中如何按最优分组方案进行小组划分的问题,综合考虑了分组问题中学习者之间的特征差异和任务难易程度等影响因素,构建了基于任务驱动分组优化问题的数学模型,提出了基于混合遗传算法的任务驱动分组优化策略。在MATLAB7.0平台上,运用混合遗传算法对任务驱动的分组优化进行了仿真实验。实验结果表明,基于混合遗传算法的任务驱动分组优化是可行且有效的。     

基于任务驱动的高职网页制作课程教学设计探讨

网页制作课程是电子商务和计算机专业的核心必修课,是一门知识性、技能性与应用性相结合的课程。本文针对高职网页制作课程的教学现状,结合高职学生的特点,探讨了任务驱动教学法在网页制作课程教学设计上的应用。