Learners edited their work based on instructor"s comments and to compile their pantuns for others to share and use in (http://aplikasi02.polisas.edu.my/greeting).edu.my/greeting
Within the context of a large-scale project that was building a virtual university for work-based learners, an ambitious goal was set: to base the development of learning materials on a pedagogic model that would be adopted across the project.
5) Providing learning opportunities for geographically, socially or economically excluded students and non-traditional and work-based learners.
Comments ………………………………………………………………… □ Providing for geographically, socially or economically excluded students, non-traditional students, work-based learners, etc. Comments ………………………………………………………………… □ Improving the quality of conventional and online education by achieving greater awareness of open and inclusive educational practices and varied perspectives on fields of study.
These works mainly use association rule mining to find the associations among the activities done by learners and then provide recommendations to the individual learner.In these works, recommendations are based on learners' activities in a course rather than learner characteristics, needs and/or profiles.
As part of future work, we consider exploring other base learners (e.g., large margin classifiers) for self-training and co-training algorithms.
It works by maximizing accuracies of base learners on labeled data while maximizing diversity among them on unlabeled data.
And this is deeply embedded in the ethos of Foxes Academy, where 88% of learners have found employment on leaving and 85% are living semi-independently (based on learners from the past five years).
Second, we describe research works in which recommendations were provided to learners based on other similar learners having similar characteristics/attributes.
In Co-MIML, the base learner is the MIMLFast, and there are two base learners involved.
One kind constructs a set of base learners called homogeneous base learners with a single base learning algorithm; the other kind produces base learners by adopting multiple learning algorithms, which are called heterogeneous learners.
