前往顾页

Examples of research being conducted with MOOCs

时候:2015-01-06 22:13来源:知行网www.zhixing123.cn 编辑:麦田守望者
  1. The role of social media networks in teaching and learning. Specifically speaking, the overarching research question here is "How do social media networks influence educational models?" One goal is to devise"theoretical and technical solutions that will help educators and researchers to study learning processes in social media", and another one is "to provide educators and learners with tools that will help them to determine whether their particular use of social media is beneficial to their teaching or learning".
  2. Testing pedagogical strategies, this kind of research aims to explore how to improve current teaching practice. A/B testing is used to determine what works best in teaching, but the technical capability for this is still fairly limited. Researchers use item response theory to test the quality of the questions presented in assignments and exams.
  3. Student engagement and motivation. The MOOCLab at the University of California, Berkeley conducted a research investigating the impact of social reputation features on retention and performance, in which the researchers replace the standard edX discussion forum with two variants, a basic forum and one in which participants could "upvote and downvote", and they found that social reputation features encouraged quick response times to forum posts and more responses per post but did not improve grades, reputation, or participants' reported sense of community. Leveraging learning analytics techniques, Kizilcec et al. found four different categories of learners in MOOCs, which are completing, auditing, disengaging and sampling learners.
  4. Machine learning/modeling research. Sherif Halawa from Standford's Lytics Lab, working with MIT's Computer Science and Artificial Intelligence Laboratory(CSAIL), has been building a model to predict dropping out in MOOCs based on video-watching behavior. Jonathan Huang and Chris Piech are engaged in a project to facilitate the categorazation and automatic grading at scale of students' programming assignments, meanwhile, they are also investigating how to use machine-learning to improve peer grading.
  5. Natural language processing. How can we use the natural language processing to reorganize those forum discussions over time? That would be area of future research.
  6. Human-computer interaction. 
  7. Personalized/adaptive learning. A professor from East Coast University points out," there massive datasets might actually allow machine learning to uncover patterns that no human can actually see, precisely built on the model of Watson."
  8. Comparing hybrid with traditional courses. Both Ithaka S+R(2013) and Bruff et al. suggest that MOOC creators building courses to allow for the possibility of deconstruction by adopters.
顶一下
(1)
100%
踩一下
(0)
0%
------分开线----------------------------
标签(Tag):收集教诲 挪动学习 在线教诲 视频公开课 MOOCS 在线开放课程
------分开线----------------------------
颁发评论
请自发遵循互联网相关的政策法规,严禁公布色情、暴力、革命的谈吐。
评价:
神色:
考证码:点击我更换图片
猜你感兴趣