Acquisition and recall is a fundamental characteristics of all learning.
Leaders' roles were perceived by some participants to be evolving towards the coaching-focused orientation characteristic of a learning organization.
Main activity fields can reflect the characteristics of lifewide learning to a certain extent, they could include families, schools, communities, workplaces, public places, and so on.
They concluded that a careful selection is necessary according to the characteristics of machine learning methods, as well as the datasets.
Based on the characteristics of a small group learning session, including format, type of learner and type of content covered, there likely exists an ideal combination of content and process expertise that a preceptor should possess in order to optimize students' learning outcomes.
This study aimed to analyze the characteristics of citizen learning experiences of smart learning in cities, as well as the influencing factors of citizen learning experiences.
In this paper we study the key characteristics of learning resources that have proved effective in changing learning and teaching, and relate them to existing frameworks for understanding resources.
However, Brazdil et al. (2009) argue that characteristics of learning algorithms and gaining a better understanding of their behaviour would be a valuable research avenue with very few publications, for example Vanschoren and Blockeel (2006), that exist in this area to date.
Therefore, our research question is whether students' emotional states are determined (1) by students' self-regulation as a personality characteristic (2) by time-varying characteristics of learning situations, (3) and by the interaction of self-regulation abilities and learning situations during class.
