2012年以来,MOOCs风暴席卷了全球,也包括我国的高校,引发了有关高校教学改革和生存发展的深入思考.MOOCs作为开放式在线教育,使学习者可以不受地域时间的限制享受世界级名师的教学风范,这必然冲击高校特别是地方高校的课堂教学.充分认识MOOCs,抓住机遇迎接挑战,研究与探索MOOCs与传统教学相融合的教学模式,势在必行.
该文针对非计算机专业计算机基础（C语言）教学现状中存在的问题，比如学生认识课程重要性不足，学习方法不正确和教师教学方法单一等，我们采用试点班在我校（攀枝花学院）进行教学改革探索。试点班教学中，首先让学生明确C语言和学生所修专业的联系，在以后的后续课程学习中哪些方面还将用到C语言编程知识或通过C语言学习掌握的计算思维，然后传授学生多思多看多练和“再学习”的学习方法，最后教师在教学中加入“3W+案例式”的教学方法，将零散的命令、语法和规则贯穿案例，通过编程解决现实生活中的实际案例。通过试点班和普通教学班学生参加国家级等级考试的一次性过级率来看，试点班过级率大大高于普通班，因此本文探索的教学改革方案是有效和值得推广的。
The cluster is applied in image process for segment.K-means is populated for its simplicity and easily realization.This algorithm is liable to stuck at values which are not optimal and the result is relied on cluster center of initial selection.In order to overcome these drawbacks,a novel image segmentation algorithm(KFGA) is proposed.The first improvement is to Hybrid the genetic algorithm and K-means for searching the global optimum.The second improvement is to replace the Euclidean distance with feature divergence Inner product norm for increasing the Adaptability.The results of the experiment show that the algorithm has the better Adaptability and getting the correct global optimum.
项目驱动教学法是基于建构主义学习理论与情境学习理论的以学为主导的教学方法,以学生为中心、以活动为中心培养学生主动、积极的完成工作任务来获得知识与技能。在《WEB应用程序开发》课程中引入这一方法,是对传统计算机教学模式改革。文章主要集中于项目驱动教学方法在《WEB应用程序开发》课程的开展与实施。
In order to describe certainty factor of rule and proposition,certainty information entropy of rule and proposition was defined.From the perspective of entropy,this article researched uncertainty reasoning in the production rules,established a new Information Entropy Petri Net model(IEPN) based on Petri nets and certainty information entropy,introduced uncertainty knowledge representation and reasoning steps,moreover,analyzed the significance that IEPN reasoning guided the Knowledge Discovery in Database(KDD),provided IEPN reasoning process and the method of Knowledge Discovery in Knowledgebase(KDK).
