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更重要的是,科技的进步、在线教育的发展提供了一种手段和方式,让原来一些难以实现的助力教育公平的举措更好开展。以教育科技企业好未来为例,他们曾探索多年通过捐建希望小学来助力教育公平,虽有成效,但覆盖人群仍然有限。不久前,他们推出“希望在线”教育公益平台,将线下的“希望工程”搬到线上,力求辐射更多人。一方面,将在线课程、课件、题库等资源,通过直播系统输送给贫困地区的学生和老师,另一方面,以互联网为载体,让提供帮助的人和有教育需求的人更方便、更及时匹配,让教育公益、教育公平借助互联网变得更高效、覆盖更多人群。
“教育公益的核心在解决教育问题本身。捐钱捐物不难,但优质的教育资源,特别是教学内容、优质师资,这些才是教育公平的关键。”在线英语教育机构VIPKID创始人兼CEO米雯娟谈道。
二问在线教育:
能否更科学
【场景】在慧科教育采访时,记者曾看到这样一个场景:一节在线教育课程,时长为45分钟。根据课程的后台数据,可以清晰地看到,有超过80%的学员在课程进行到第八到十分钟时,出现了暂停、回放的情况。基于此,课程开发人员就可以清楚地掌握该课程的难点所在,并有针对性地优化教学内容,或为学生做相关内容的进一步推送。
互联网、大数据,让因材施教正逐渐成为可能。
先说教的过程。传统的课堂,老师们需要通过让同学们举手表示是否对所讲授的知识点全部掌握,而基于新技术支撑的课堂,学生对于知识点的掌握,老师可通过大数据分析随时掌握。“传统的教学方式,需要老师们用一辈子的时间来积累教学经验,知道哪个知识点学生更不容易掌握,了解哪个学生更容易在类似问题上出现错误等,然后凭借教学经验开展教学工作。这种经验,其实就是一种数据的积累。通过运用大数据分析,年轻的教师也可在短时期内获得类似‘经验’,从而更高质量地开展教学。”猿题库联合创始人李鑫谈道。
再看学的过程。每个孩子的天性禀赋、理解能力和兴趣点都不同,“基于互联网和大数据分析,可根据每个孩子的不同情况有针对性地制定学习方案,从而提升效率。”百度教育事业部总经理张高认为,“不仅在基础教育阶段,在高等教育阶段开展个性化的学习也非常重要。例如很多计算机系的学生知道应该学习编程,但对为什么要学习,以及如何将所学知识与未来的志趣和就业方向相匹配其实并不清楚。基于大数据分析,在学生学习之初,便给予其相关能力和兴趣等方面的评估,找到其短板和优长,就可以有针对性地开展教学过程,从而做到让学习不再盲目。”
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