In the present study, we investigated how changing a game design element, linearity in gameplay sequences, influenced the effectiveness of game-based assessment in terms of validity, reliability, fairness, learning, and enjoyment.
Therefore, the shortcomings associated with repeated neuropsychological assessment, such as availability, cost, test retest reliability, and learning effects might be circumvented.
Hell recently assessed inter- and intra-observer reliability and learning curves in participants after basic, advanced, and final courses in hip US using the Graf method.
The method is called AK-MCS for Active learning reliability method combining Kriging and Monte Carlo Simulation.
The results of our study indicate that additive noise, size, and data distribution characteristics play an important role in learning, reliability and predictive ability of ANNs.
The purpose of this study was to examine the reliability and the learning effect of an isokinetic trunk flexion extension protocol designed to simultaneously assess trunk muscle strength and endurance.
Equipment issues included high costs, reliability, quality, and learning how to use the device.
We next considered two possible phenomena that might account for the improvement of reliability scores with learning.
(E ) Change in reliability score with learning for neurons from trace conditioned (blue), pseudo-conditioned (green) and spontaneous activity data (red) respectively.
