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Extensive empirical evaluations of Meta-AQUA show that it performs significantly better in a deliberative, planful mode than in a reflexive mode in which learning goals are ablated and, furthermore, that the arbitrary ordering of learning algorithms can lead to worse performance than no learning at all.
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It is knowledge of sensible things which is primary and thus prior to the "order of learning" the philosophical sciences.
Abû Ja‛far Yûsuf ibn Ḥasdây is also the recipient of a letter from Avempace in which he refers to the astronomer az-Zarqâlluh, Azarquiel (d. ca. 1000), and also writes about his own order of learning.[6] Ibn Abî Uṣaybi‛a includes in his biography his history of physicians,[7] and reports his friendship with Avempace.
For example, behaviorists such as Thorndike, Hull, and Skinner knew that the order of learning affected the causal sequence of recall: if one is always hearing "salt and pepper" then salt will be more poised to activate pepper than pepper to activate salt.
Fors builds on existing work (Green 1998; Ihde 2002; Dall'Alba and Barnacle 2005; Richardson 2007; Moores 2012) to point out: 'new media-based orders of learning call for a deeper understanding of the whole body's association in and with digital technologies beyond more logo-centric, print-based, and ocular-centric ideas of learning'.
A statistically significant interaction effect was found between field type and order of learning with the simulations on the butterfly post-test performance, showing that learning first with the black-box simulation facilitated field-dependent children's subsequent learning with the glass-box simulation.
A counterbalanced measures design was used to examine whether the order of learning with a glass-box simulation about the life cycle of butterflies, and, a black-box simulation about the life of bees, differentially affected field-dependent and field-independent children's performance on two related knowledge tests.
It can be seen in Figure 3C that the order of learning only affected the rate of learning in the CF force field and not the DF field.
28 Two case studies examined the performance of two patients in both an EL and an EF condition, with the order of learning conditions and the task trained in each condition being counterbalanced.
In order to examine the rate of learning as obtained from the best fit exponential function (Equation 4), an ANOVA with main effects of Vision (Visual Condition), Field (type of force field), and Order (order of learning), and random effect Subjects was performed on the data.
To most efficiently use the precious time for skills laboratory training, and to accord with simple-to-complex-ordering of learning tasks [ 5, 6], it is helpful if students are well prepared before attending training.
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