In this paper, we introduce a new approach to recognising typing behaviour (biometrics) from an arbitrary text in heterogeneous environments using the context of time series analytics. Our proposed method differs from previous work directed at understanding typing behaviour, which was founded on the idea of usage a feature vector representation to construct user profiles. We represent keystroke...

This paper discusses the implications of the decomposition property of the Theil index in sequences of nested and hierarchic grouping structures, formalizing general results applicable to a generic sequence of grouping structures. A specific application to data on wages and employment by industrial classification to measure the evolution of wage inequality through time will be explored, analyzi...

In this paper1, we give an overview of the data-driven and non-linguistic approach to open-domain factoid question answering (QA) that has been developed over the past 4 years at Tokyo Institute of Technology and which culminated this year in our participation in three international evaluations of QA technology at TREC (for English), CLEF (for Spanish and French) and NTCIR (for Japanese). In TR...

Faces are considered a special class of holistically-processed object. The composite face task is widely-used tool to infer holistic processing. In this task, recognition 1 half shown be hampered by interference from the other face. Although effect has been documented numerous times, when used in different paradigms, faces do not always exhibit effects consistent with present study explored cau...

The problems of time-dependent behavior in general, and dynamic resource allocation in particular, pervade many aspects of modern life. Prominent examples range from reliability and efficient use of communication resources in a telecommunication network to the allocation of tracks in a continental railway network, from scheduling the usage of computational resources on a chip for durations of n...

In Massively Open Online Courses (MOOCs) TA resources are limited; most MOOCs use peer assessments to grade assignments. Students have to divide up their time between working on their own homework and grading others. If there is no risk of being caught and penalized, students have no reason to spend any time grading others. Course staff want to incentivize students to balance their time between...

In recent years, many higher education institutions have invested in the development of Massive Open Online Courses (MOOCs). With the increase of available MOOC data, there is an opportunity to provide insights to educators and developers into learners’ behaviors through learning analytics. Focusing on the FutureLearn platform (FL), standardized data files are offered to partner institutions. A...

We describe how statistical predictive models might play an expanded role in educational analytics by giving students automated, real-time information about what their current performance means for eventual success in eLearning environments. We discuss how an online messaging system might tailor information to individual students using predictive analytics. The proposed system would be data-dri...