In this paper, we are concerned with both supporting human-human discussion and automating this discussion as with previous negotiated learner models, while also encompassing a range of potential sources of learner model data manual and automated as in the Next-TELL OLM.
How effectively can an interactionist DA procedure diagnose the source of L2 learners' problematic areas related to conceptual writing styles?
How effectively can an interactionist DA procedure diagnose the source of L2 learners' problematic areas related to conceptual writing styles? 2.
There is a timestamp, an indication of the source of the learner model data (here: peer assessment, data from the OLMlets system, teacher assessment), the value of the piece of evidence, its influence on the model (weighting), and the resulting contribution of that evidence to the learner model data.
An algorithm is proposed to transfer the SVM hyperplane information of each of the source learners to the new target learner.
To solve the cold-start problem of CoP construction, we use the career readiness data warehouse discussed earlier as a source for initializing groups (or clusters) of learners and denote each such cluster as a CoP (Fig. 6).
In the future, it will be constructed through personal investigation, exchange and discussion with many sources, and co-constructed in communities of learners characterised by team teaching.
In our context of multiple data source OLMs, new issues arise, such as negotiating the weight of different sources of data according to their relative validity and the method of visualising the learner model that is appropriate to the source of data from which the learner model representation is being negotiated e.g. is it a simple quiz score, or is there detailed associated reasoning?
MOOCs are a source of Big data to explore performances of learners.
The external collaboration script is presented to a group of learners by an external source (e.g., a teacher or a website interface) as a means to guide their collaborative activities.
