构建高职教育专业培养目标体系

高职教育应根据对职业岗位工作分析和任务分析确定其专业培养目标。把完成任务的最终绩效目标作为业务目标，按学期分段构建具有高职特色的专业培养目标体系。这样有利于发挥专业培养目标对课程设置、教学内容组织、教学方法选择的指导作用，同时使教学质量监控与评价有了科学的客观的依据。     

大学公共英语课堂活动设计探索

在大学公共英语教学中,教师应引导学生树立正确的学习目标,灵活运用多种教学方法和教学手段设计和组织适合学生实际情况的教学活动,激发学生参与课堂活动的积极性,体现学生在课堂上的主体地位。     

任务型教学模式下英语教师角色的思考

近年来,英语任务型教学的研究和应用十分广泛。但在实际英语教学中,有些教师对任务及任务型教学内涵分析和认识不全面,对在教学过程中的自身的角色没有明确的定位,从而会遇到一些困惑和问题。因此,英语教师应该加强对自身教师角色的认识,不断反思自身的教学实践,从而有效地推动和促进任务型教学模式在英语教学实践中的应用。     

基于工作过程的网站开发课程教学改革实践

对基于工作过程的网站项目开发课程进行了分析,给出了网站项目开发的工作过程和学习任务,在此基础上对典型学习任务——商品信息列表模块进行了设计与实现.在项目开发过程中,要准确把握用户意图,着力培养学生的综合开发能力.     

基于PSO的控制系统中周期性任务的优化调度

控制系统中任务的调度不仅影响系统的资源利用率,而且影响系统的控制性能。首先分析了周期性实时任务,并给出了任务模型。基于此,采用了EDF调度算法。根据系统的性能指标与任务的采样周期的关系,采用粒子群算法对系统性能进行优化。仿真结果表明,这种算法是有效的。     

Overall plan and design of the task management system of ternary optical computer

In this paper an overall scheme of the task management system of ternary optical computer (TOC) is proposed, and the software architecture chart is given. The function and accomplishment of each module in the system are described in general. In addition, according to the aforementioned scheme a prototype of TOC task management system is implemented, and the feasibility, rationality and completeness of the scheme are verified via running and testing the prototype.     

基于TBL模式下的商务英语阅读分层教学探究

商务英语阅读课程应实施以＂任务＂为载体的＂实用阅读＂教学并根据学生的个体差异,在分层教学中灵活进行＂任务融入＂,为学生在未来职场上的商务交际打好语言基础,从而提高学生的商务实践能力和技巧。     

基于计算思维的任务驱动式教学模式的研究

计算思维是当前国际计算机界广为关注的一个重要概念,也是当前计算机教育需要重点研究的重要课题。文章首先结合任务驱动式教学和教学模式的特点构建了基于计算思维的任务驱动式教学模型(Task-Driven Teaching Model Based on Computational Thinking,简称TDTMCT)。TDTMCT模型将教学者和学习者之间通过任务连接起来,教学过程以任务为主线,教学者主导,学习者主体。整个过程教学者运用计算思维方法准备课程,设计任务,学习者根据教学者的引导,运用计算思维方法完成教学任务。最后运用实例验证了该模型的可行性和高效性。与传统的教学模式相比较,基于计算思维的任务驱动式教学模式在培养学习者自我建构知识以及创新思维能力方面有较大的进步,不仅可以提高学习效率,而且可以培养学习者的计算思维能力。     

任务教学法在商务英语教学中的应用

从任务教学法的理论基础入手,阐述了任务教学法对商务英语教学的意义,并根据商务英语的教学内容和教学目的,设计了讨论会、商务洽谈、商务介绍、案例分析等几种任务模式,分析了任务教学法的制约因素并探讨了其实施措施。     

Assessing collaborative learning: big data,analytics and university futures

Assessment in higher education has focused on the performance of individual students. This focus has been a practical as well as an epistemic one: methods of assessment are constrained by the technology of the day, and in the past they required the completion by individuals under controlled conditions of set-piece academic exercises. Recent advances in learning analytics, drawing upon vast sets of digitally stored student activity data, open new practical and epistemic possibilities for assessment, and carry the potential to transform higher education. It is becoming practicable to assess the individual and collective performance of team members working on complex projects that closely simulate the professional contexts that graduates will encounter. In addition to academic knowledge, this authentic assessment can include a diverse range of personal qualities and dispositions that are key to the computer-supported cooperative working of professionals in the knowledge economy. This paper explores the implications of such opportunities for the purpose and practices of assessment in higher education, as universities adapt their institutional missions to address twenty-first century needs. The paper concludes with a strong recommendation for university leaders to deploy analytics to support and evaluate the collaborative learning of students working in realistic contexts.