Adaptive multimedia content delivery for context-aware u-learning

Abstract

Empowered by mobile computing, teachers and students can benefit from computing in more scenarios beyond the traditional computer classroom. But because of the much diversity of device specification, learning contents and mobile context existing today, the learners get a bad learning experience (e.g. rich contents cannot be displayed correctly) during ubiquitous learning (u-learning) environment. This paper proposes an adaptive contents delivery model for context-aware u-learning according to three-level service models proposed, which create the adaptive contents for learners to get a seamless access in learning according to learners' interest and contexts. The evaluation on a mobile virtual community system shows that the learners may not only study in rich media on mobile device at anytime and at anyplace, also get a better learning experience, e.g. learners may get instant help from other participates by ubiquitous device and access the rich contents: PowerPoint files.

What seams do we remove in mobile-assisted seamless learning? A critical review of the literature

“…(2010); J. Wang & Li (2008);Wong, Chin, Tan, & Liu (2010) Longer Zhao & Okamoto (2011) In analyzing each paper or set of papers, we looked at two aspects -(1) How seamless learning was explicitly defined or described in words? (2) What were the salient or potentially relevant MSL features being incorporated into the reported WMUTE designs?…”

“…There are location-aware learning systems where students tap on GPS, RFID or QR-code tags to push or pull information corresponding to specific locations (e.g., Rogers & Price, 2008;J.-L. Shih, et al, 2010), and/or employ virtual maps for site navigation (e.g., Ogata, et al, 2008;Spikol & Milrad, 2008). There are also context-aware learning systems that make use of sensors to detect environmental/physical contexts such as temperature and offer contextualized learning support (Hou, Ogata, Miyata, Li, & Liu, 2010 systems may even provide more personalized support by taking into account all the above contextual information as well as the learner profile (e.g., Yang, 2006;Zhao & Okamoto, 2011).…”

Content-Aware Power Saving Multimedia Adaptation for Mobile Learning

“…Qing Tan in [5] Proposes a 5R adaptation framework, the aim of which is to provide a learning resource "at the right time, in the right location, through the right device, providing the right contents to the right learner". [10] discusses some issues arising due to the diversity that exists in learning on mobile devices. Over the years, many techniques have been proposed to provide adapted versions of learning resources based on user preferences, devices characteristics and user needs.…”

Energy-Aware Adaptation of Educational Multimedia in Mobile Learning

“…[21] discusses some issues arising due to the diversity that exists in learning on mobile devices. Over the years, many techniques have been proposed to provide adapted versions of learning resources based on user preferences, devices characteristics and user needs.…”