This paper discusses a data-driven learning (DDL) tool, which consists of a learner corpus for L2 learners of German. The learner corpus, in addition to submissions from ongoing current users, has been constructed from millions of submissions from a variety of activity types of approximately 5000 learners who used the E-Tutor CALL system over a period of five years. By following a cyclical proc...

This paper considers learner misconceptions information which is presented to the learner in an open learner model. We suggest that specific information about misconceptions may be of benefit to the learner, to help them reflect on their knowledge and understanding. We investigate acceptance of their misconceptions presented as animations and step-by-step text descriptions by two groups of user...

INTRODUCTION The evidence is clear that Learner drivers need as much on-road supervised driving experience as possible to help them to become safer drivers. Many community groups around Australia are now helping their Learner drivers to achieve this much needed experience by offering Learner Driver Mentor Programs (LDMPs). In addition to seeking road safety benefits, many communities introduce ...

Most of the existing learning environments work in wellstructured domains by making use of or combining AI techniques in order to create and update a learner model, provide individual and/or collaboration support and perform learner diagnosis. In this paper we present an approach that exploits the synergy of case-base reasoning and soft-computing for learner modelling in an ill-structured domai...

Learner-centered software design (LCSD) guides the design of tasks, tools, and interfaces in order to support the unique needs of learners: growth, diversity and motivation. This paper presents a framework for LCSD and describes a case study of its application to the ScienceWare Model-It, a learner-centered tool to support scientific modeling and simulation. The complex task of constructing and...

This paper presents a novel multimodal approach to automatically detect learner uncertainty through the integration of multiple sensors. An acquisition protocol was established for the recording of learner electrical brain activity and physiological signals while interacting with a problem solving system specifically designed for uncertainty elicitation. Data were collected from 38 subjects usi...

To advance our understanding of learning in massive open online courses (MOOCs), we need to understand how learners interact with course resources. Prior explorations of learner interactions with MOOC materials have often described these interactions through stereotypes, which does not account for the full spectrum of potential learner activities. A focus on stereotypes also limits our ability ...

In the framework of kit-build concept map, (1) a goal map is prepared by a teacher, (2) parts of the map is generated by decomposing the goal map, and then, (3) a learner makes a map (a learner map) by combining the parts. The learner map is diagnosed by comparing with the goal map. The differences between the learner map and the goal map should be resolved by the learner to complete the learne...

As high attrition rates becomes a pressing issue of online learning and a major concern of online educators, it is important to investigate online learner motivation, including its antecedents and outcomes. Drawing on Deci and Ryan’s self-determination theory, this study proposed and tested a model for online learner motivation in two online certificate programs (N = 262). Results from structur...