Title :
Supporting Self-Regulation by Personal Learning Environments
Author :
Kravcik, Milos ; Klamma, Ralf
Author_Institution :
Adv. Community Inf. Syst., RWTH Aachen Univ., Aachen, Germany
Abstract :
In this paper we attempt to address the issue of supporting self-regulation by Personal Learning Environments (PLE), which provide the learner with a freedom to design and compose his or her learning environment according to personal preferences and context demands. Psychology and neuroscience offer a lot of highly relevant results that should be taken into account. We report on our experiments mainly with PhD students, which represent a community of advanced learners. This needs to be considered when interpreting their feedback, as for most of the learners is self-regulation even more challenging. Even students at this high level appreciate pedagogical support in the learning process.
Keywords :
computer aided instruction; further education; neurophysiology; psychology; PLE; PhD students; learners feedback; learning process; neuroscience; pedagogical support; personal learning environments; personal preferences; psychology; self-regulation support; Communities; Conferences; Context; Delay; Educational institutions; Neuroscience; Psychology; personal learning environment; self-regulated learning;
Conference_Titel :
Advanced Learning Technologies (ICALT), 2012 IEEE 12th International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4673-1642-2
DOI :
10.1109/ICALT.2012.192