Here's a puzzle for you

[EternalOptimist]

So, while technically workable, a solution has been accepted that will disadvantage one set of students over another?

That is, if the psychological effect of colours are to be believed. Unless you decided the two colours to use should be "Greeny-blue for one and bluey-green for the other".

They will obviously adjust the lighting so that they all look the same colour, a red filter probbly

[suityou01]

They will obviously adjust the lighting so that they all look the same colour, a red filter probbly

Or sit them in different exam halls.

[DirtyDog]

How can we identify which ones were not scanned versus those that were absent without the attendance information so we can quickly chase the bureaus to find the missing papers and scan them?

When you batch them, you include a batch header sheet, which details the number of documents per batch. The standard post-processing functionality of something like Kofax will then tally the information from the number of documents in the batch and compare it with the number on the batch header sheet. If there is a discrepancy there, the software will report it.

The software will also provide you with a report of how many batches were scanned, so you can quickly tell whether there are any batches missing completely.

I'd suggest that each school needs to complete a batch header sheet which includes the number of papers in the batch, the number of absences (if they have this information handy) and a school identification code. That way, when it goes through the scanner, the system tells you what's there and you spot what's missing.

[suityou01]

When you batch them, you include a batch header sheet, which details the number of documents per batch. The standard post-processing functionality of something like Kofax will then tally the information from the number of documents in the batch and compare it with the number on the batch header sheet. If there is a discrepancy there, the software will report it.

The software will also provide you with a report of how many batches were scanned, so you can quickly tell whether there are any batches missing completely.

I'd suggest that each school needs to complete a batch header sheet which includes the number of papers in the batch, the number of absences (if they have this information handy) and a school identification code. That way, when it goes through the scanner, the system tells you what's there and you spot what's missing.

There is no time or budget to do this differently. I did say that, I'm not drip feeding honest.

The idea you propose is good, but requires extra effort to change the systems and test and rollout. We have to go with the systems as is.

[BrilloPad]

So, what did Suity suggest?

Rubber underpants?

[tractor]

.

That is the requirement. You call is disadvantaged, I call it prioritised. I was thinking pastel colours like duck egg blue, and pink.

The requirement is to 'differentiate'; the accepted solution is to colour code.

If the people involved in the earlier question are too stupid to be trusted to order the papers correctly, how can they be trusted to 'tap in' attendances to a system?

What concerns me is the way organisations think that system or computer logic can compensate for operatives on the lower end of the following IQ scale (sorry I had to use the old scale but later ones are far too PC in that they don't include imbecile):

Levine and Marks 1928 IQ classification[49] IQ Range ("ratio IQ") IQ Classification

175 + Precocious
150–174 Very superior
125–149 Superior
115–124 Very bright
105–114 Bright
95–104 Average
85–94 Dull
75–84 Borderline
50–74 Morons
25–49 Imbeciles
0–24 Idiots

[d000hg]

We need a clear and readily visible and un****upable way of distinguishing these papers.

Well that doesn't exist if people are involved at any step in the process, including designing the process.

[EternalOptimist]

well you have a database.

some entries will have scanned data, some wont.
some will have attendance data, some wont.

its a simple select statement. select * from sy01 db where attendance data not null and scanned stuff is null

[suityou01]

Can we just get on with question 2?

[BrilloPad]

175 + Precocious
150–174 Very superior
125–149 Superior
115–124 Very bright
105–114 Bright
95–104 Average
85–94 Dull
75–84 Borderline
50–74 Morons
25–49 Imbeciles
0–24 Idiots
-1 Suity

FTFY