A learner corpus is a useful resource for developing automatic assessment techniques for implementation in a computer-assisted language learning system. However, presently, learner corpora are only helpful in terms of evaluating the accuracy of learner output (speaking and writing). Therefore, the present study proposes a learner corpus annotated with evaluation results regarding the accuracy a...

We examine the process of engineering features for developing models that improve our understanding of learners’ online behavior in MOOCs. Because feature engineering relies so heavily on human insight, we argue that extra effort should be made to engage the crowd for feature proposals and even their operationalization. We show two approaches where we have started to engage the crowd. We also s...

Despite their demonstrated potential through a range of early studies, on-line collaborative learning systems do not yet have the impact that many believe is possible. In particular, collaborative learning approaches cannot be readily applied to every e-learning experience, since they require a degree of presence and/or collaboration which may be difficult to achieve. In addition, collaborative...

The rate of technological progression seems to have encouraged teachers and researchers to reassess their pedagogic beliefs in an attempt to maintain their control over the learning process and the influx of authentic materials. With regard to the field of language teaching, technology seems to be demanding a re-examination of pedagogies in order to find ways of making use of current technology...

The paper describes a learner corpus of Czech, currently under development. The corpus captures Czech as used by nonnative speakers. We discuss its structure, the layered annotation of errors and the annotation process.

While Medical Imaging is a cornerstone of modern medicine, adequately instructing students in medical schools to analyze these images is still lacking in terms of allocated time and diversity in exposure. To help alleviate this problem we propose the creation of a new smart learning environment: the gamification of an online Intelligent Tutoring System focused on medical imaging. This proposed ...

Learning analytics for learners has the ability to greatly improve learners’ self-regulation. Current learner dashboards are mostly providing learners with an isolated view of their learning behavior, while we believe learners will gain more from a comparison of their own behavior with that of successful peer learners. In this work-in-progress demonstration we describe our design of a Learning ...

Personalization approaches in learning environments are crucial to foster effective, active, efficient, and satisfactory learning. The focus of the PALE workshop series is on the different and complementary perspectives in which personalization can be addressed in learning environments (e.g., informal, workplace, lifelong, mobile, contextualized, and self-regulated learning) and offers an oppor...