5 ms·
160k+ students will only graduate if a statistical model allows them to
- macsj200 6y agoIt's crazy the model can learn implicit biases even when you don't supply that data!
- atuld 6y agoI hope they relook at the model - wouldn’t want to see people suffering due to the wrong methods being used to grade their work.
- m1shti 6y agoBrilliant!
- navyadixit 6y agoVery interesting!
- rdubey 6y agoUse of statistical model to allocate grades to students may not be fair to many students. Models should be used for estimation and not actual allocation of grades.
- anupamdutta 6y agoGreat analysis...IB should definitely look to tweak the model to eliminate or reduce the biases identified!
- ali_wetrill 6y agoWild that they're doing this - really great analysis
- arun100 6y agoGood insights on the problems and issues with what IB thought was a good choice
- spulle1 6y agoGreat article.
- ovasilis 6y agoIt is crazy to think that this is happening in the world. Very well explained!
- pankajk1 6y agoLoved the animated GIF of "the model" literally falling! The coronavirus has thrown a lot of curveballs and each has sent impacted groups looking for answers. As OP correctly concludes, there are no good answers. Only worse and bad ones. Besides the original problem, the OP's analysis is well presented and brings out the worse in this not so well thought out solution. I hope IB is listening and is willing to adjust their model to address issues pointed out by the OP.
- ishan_dikshit 6y agoThank you - I appreciate it. Some people on another forum actually informed me of the fact that other educational boards in the UK are planning on adopting this exact same 'model based assessment methodology'. I do not understand why more people aren't upset about this.
- santri2804 6y agoExplained well... loved it
- chunmun 6y agoWell done
- sunitayc 6y agoNice write up
- pujapant 6y agoGreat work
- mail2kakoo 6y agoFantastic effort in asking the question and raising awareness. Hopefully the universities would consider the shortcomings of the process for the IB results to base their decisions.
- hvinayak1968 6y agoVery Well Researched and written.Your analysis points out the outcome pitfalls that IB and other educational institutions should consider and correct for. Here are some of the additional views to consider, based on my sense of data flow thru your model: - the fact that your model can predict gender, race and socioeconomic status from the historical grades is rightly pointing out that today grades are indeed strongly (and very unfortunately) correlated with these extra-curricular environmental variables. This is a well established fact and many social programs have been designed in an effort to flatten this bias. - so unless the model takes its own predictions and loops it back as X variables, it should not reinforce the bias. The model accurately predicts along the pattern of social bias that is Actually present today. - If we are bold enough we can decide thru this model to introduce counter biases (feedback loop) against these factors so that we level the playing field and truly measure the raw intellect and not the Environmentally conditioned intellect - but that is debate for another time! All in all a great research and write up - wake up call to folks who Blindly assume predictions for truth! I will wait for your next part - “how do we correct for these biases”! Harsh Vinayak