When the Common Core states that elementary students will
learn standard algorithms — the conventional methods for adding, subtracting, multiplying, and dividing numbers — it is saying students will learn procedures.
Not exact matches
In addition, advanced analytics and machine
learning algorithms, which now are
standard elements of testing process, require access to massive amounts of data to be effective.
In the U.S., even if you say «
learn to multiply whole numbers with the
standard algorithm,» some people will declare wiggle room and try to avoid the
standard algorithm.
Whether
algorithms can make such predictions or not, «in an era where we are looking at testing bias and social - emotional
learning standards, the very definition of a good teacher being measured only by students» standardized test scores is faulty,» Vieth writes.
It's easy to get caught up in the Reading Wars [phonics vs whole language] and Math Wars [basic skills and
algorithms vs mathematical power] and Science Wars [basics / facts vs hands - on
learning] that Peter Schrag wrote about 15 + years ago when the 1997
standards were being debated.
The «truth» the authors ** are exploring in their research relates to the quality of the «gold
standards» used to train, test and measure the success of machine
learning algorithms.
Earlier this year, the company showcased a Google - like machine
learning algorithm that is also implemented in the
standard Photos app.