She adds, "We are calling for highest measures of accountability and performance metrics that look at outcomes based on individual student learning".
It is known that students in Australian classrooms have varying needs based on individual's learning histories, abilities, cultural and educational backgrounds.
Fueled, as they are, by less personal and meaningful experiences, reflections based on standardized video-cases might have a lesser impact on individual learning.
The experience presented provides evidence to confirm this, and at the same time, confronts the dominant methodology based more on individual learning where the teacher continues to exercise the role of sole transmitter of knowledge.
These studies produce relevant knowledge on how children's abilities, skills, and competencies develop based on individual resources and conditions; how learning opportunities influence their development in different contexts; how disparities emerge early in life; and how all this impacts educational careers, lifelong learning, well-being, and participation in society.
Unfortunately, the adaptive timing model can be confused by the presence of noise in CF firing because it is based on individual, and not population learning of PCs.
Papanikolaou et al. ([2002]) demonstrated an adaptive learning system that adapted learning content based on individual students' knowledge levels.
In particular, it guides learners to do the right thing (i.e., the tasks that are most feasible and important to the learner at present) in the right way (i.e., with effective learning tools or strategies) at the right time and in the right place based on individual learners' online and real-world learning status as well as their personal factors.
This paper examines the evolutionary process of knowledge sharing among users of the social commerce; builds an evolutionary game model to depict knowledge sharing phenomenon in the virtual community; and develops a mixed learning algorithm based on individual user's historical game strategy, neighborhood user's strategy, and information noise.
We extracted student clusters based on individual effectiveness, and compared instructional efficiency, mental effort, and persistence of learning.
