Over the years two main feedback types have been established: learners can post messages to the audience and multiple choice questions answered by learners.
In the absence of guidelines on how to implement simulation-based procedural curriculum, establishing learner preferences is of paramount importance.
Given the lack of guidelines on the implementation of simulation-based education, the aim of the current study is to establish learner preferences in simulation-based procedural education in internal medicine.
The results from short-term assessments have established that learner-centered inquiry-based approaches to teaching enhance student learning (e.g., Freeman et al., 2007).
This part of our study seeks to establish the learner characteristics/backgrounds and design features that predict blended learning effectiveness with regard to satisfaction, outcomes, motivation and knowledge construction.
The aim of this study was to establish how learners and teachers at our medical school are currently using mobile devices and to identify features of their use to assist with the development of policy that will direct the use of mobile computing devices in the years ahead.
Thus, as with auditory speech perception, visual sensitivity to phonologically irrelevant contrasts may be attenuated, and new visual categories may need to be established by L2 learners (see also Pons, Lewkowicz, Soto-Faraco, & Sebastián-Gallées 2009).
In addition, when participants were divided into good and poor attentional learners on the basis of visual-search LI scores, traditional rule-learning LI was established in good attentional learners, whereas it was absent in poor attentional learners.
An upper bound method is established by training a learner with the labeled target documents and testing with the target documents.
In this study we have investigated learning outcomes as dependent variables to establish if particular learner characteristics/backgrounds and design features are related to the outcomes for blended learning effectiveness and if they predict learning outcomes in blended learning.
