|We propose a new method of classiication built as a cascade of a distributed learner and a local learner. The distributed learner generalizes to learn the \rule" and the local learner learns the \exceptions" not covered by the \rule." We show how such a system can be trained using cross-validation. We use a multi-layer perceptron with sigmoidal hidden units as the rule-learner and a k-nearest ...

Emerging MOOC platforms capture huge amounts of learner data. This paper presents our MOOClm platform, for transforming data from MOOCs into independent learner models that can drive personalisation and support reuse of the learner model, for example in an Open Learner Model (OLM). We describe the MOOClm architecture and demonstrate how we have used it to build OLMs.

We consider open learner models (OLM) with reference to adaptive navigation support and learner control. Our purpose is to assess the potential of a greater range of OLMs in adaptive educational hypermedia. We introduce five OLMs, discuss how these might be applied, and present learner reactions.

This talk is concerned with using syntactic annotation of learner language and the corresponding target hypothesis to find structural acquisition difficulties in German as a foreign language. Using learner data for the study of acquisition patterns is based on the idea that learners do not produce random output but rather possess a consistent internal grammar (interlanguage; cf. [1] and many ot...

This paper aims at exploring the perceptions, and practices of University EFL teachers in Nepal, particularly challenges found strategies adopted to deal with teaching English through online instruction during pandemic. The in-depth unstructured interview as a research tool under narrative inquiry has been employed collect data while concept thematic analysis by Riessman exploited analyze inter...

E-Learning students can benefit from proper class formation process based on the student needs. In particular, Online Social Networks make available data concerning users’ interactions, as skills and trust relationships, that are behind the dynamics of thematic social network groups, and can be explouted to form e-Learning classes. To this aim, we propose a model based on such information, whic...