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The initial draft of MLFAF had its foundation in previous mobile learning frameworks and the literature review.
One such pedagogical activity is personalisation, which is a key aspect identified in many mobile learning frameworks.
Despite its importance, many mobile learning frameworks and models have failed to discuss this aspect (Imtinan et al. 2013).
Another important aspect, pedagogy, which is defined as 'any conscious activity by one person to enhance learning in another'(Mortimore 1999, p. 17), has been mentioned in mobile learning frameworks (Ozdamli 2012).
Additionally, the diversity of mobile learning initiatives and mobile learning frameworks presents a real challenge in higher education (Wishart and Green 2010), including the lack of 'transferable design framework', 'evaluation of the projects' and 'explicit underlying pedagogical theory' (Cochrane, 2014, p. 67).
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Mobiglam [46] is another mobile learning framework that is based on Bayesian techniques.
The main obstacle in adopting mobile learning is the lack of a cohesive, unified mobile learning framework.
The main obstacle for research on mobile learning assessment feedback is the lack of a cohesive and unified mobile learning framework.
And while Py is generally focused towards the more basic/starter stage of learning to code at this point, i.e. for people who don't much prior knowledge, Lo is excited about the potential to use the mobile learning framework they're building as a delivery medium for more advanced learning too.
Heavyweights like Apple and Google have made mobile machine learning frameworks (Core ML and TensorFlow Lite, respectively) centerpieces of their latest developer offerings.
This project explores the extension of e-learning into wireless/handheld (W/H) computing devices with the help of a mobile learning (m-learning) framework.
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