Statistics One:
The content is still good but it's an organizational shambles - this is really the sort of low level stuff there is no excuse for Coursera screwing up. I have now completely decoupled this module from assessment as we arrive at the last week. That's no problem at all as I feel I have definitely met my personal learning outcomes for this course. Would I be happy for my students to take this course? Yes, but:
- Not contextualized as biology so it would be problematic for most.
- Most students would need the f2f handholding and explanation which is absent in a MOOC
Scientific Writing:
Same problem as last week, overly dogmatic and virtually every example changes the meaning of the sentence. Unexpectedly, I'm disappointed with the quality of this course, as is much of the traffic on the Coursera discussion boards. I don't think I'm going to get much out of this course in terms of writing, so my personal learning outcome - to experience peer grading on the Coursera platform - is now my main objective here.
Social Network Analysis:
This course is also taking a hit. It's good (although the calculus is challenging) and if I didn't have much else to do I would stick with the non-programming bits, but at the moment I simply don't have time, so I'm skimming the video lectures and random clicking the assignments so I stay apparently "engaged".
The other development this week is that I cracked and signed up for the Current/Future State of Higher Education cMOOC (#cfhe12). I'm not sure if I'll be able to find much time to participate, and the initial experience has been clunky and unwelcoming, so we'll have to see. If I've got anything to say, I'll be blogging here using the #cfhe12 hashtag.
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