The findings of studies on language learner e-readiness are of a context-bound nature, highly contingent upon factors such as technological infrastructure of an institution, demographic features of learners (e.g., nationality), and their attitude toward e-learning.
Moreover this two layers system is able to provide various features of a learner model for instance resistance against perturbations, modulation of trajectories amplitude and frequency.
It became evident that one-dimensional focus on the meaning-based features of language hinders learners from attaining linguistic accuracy.
The SRL features of the skillful learners in each phase support learning processes by helping teachers predict learning styles and learning performance.
This review presents research about blended learning effectiveness from the perspective of learner characteristics/background, design features and learning outcomes.
In order to take full advantage of the performance feedback features, the learner must complete one of the eClinic(s) scenarios in one sitting, or at least without shutting down the program.
In addition, studies have used the intelligent tutoring system (ITS) to evaluate structural features of the knowledge that learners possess.
The questions that were asked during this semi-structured interview were about what specific features of the task the learners liked or disliked.
Advice delivery generally assumes the epistemic asymmetry between the advice giver and the advisee as its central feature (Hutchby, 1995); however, the principle of learner autonomy in educational interaction complicates the management of such an asymmetry between teachers and students.
The purpose of the research was to determine experimentally whether the addition of features to enhance learner motivation and collaboration, termed motivational scaffolding, to the "traditional" distance learning design improved engagement, and performance, particularly among procrastinators.
