We tested a social television system with both voice and text communication in the field for one week, in four households. Participants expressed a preference for the freeform communication features over an earlier system with restricted communication options. Use of the communication features was nevertheless sporadic. Text was used more often than voice communication. However, both were usual...

Model evaluation – the process of making inferences about the performance of predictive models – is a critical component of predictive modeling research in learning analytics. In this work, we present an overview of the state-of-the-practice of model evaluation in learning analytics, which overwhelmingly uses only näıve methods for model evaluation or, less commonly, statistical tests which are...

The goal of this shared task was to predict attrition in a MOOC through use of the data and logs generated by the course. Our approach to the task reinforces the idea that the process of gathering and structuring the data is more important (and more time consuming) than the predictive model itself. The result of the analysis was that a subset of 15 different data features did a sufficiently goo...

We introduce in this paper information theoretic tools that can be used in an animat for constructing an internal predictive model. We first explore how information theoretic quantities such as causal entropy can be used for extracting time-dependance between stimuli, allowing for an estimation of the expected delay between two given stimuli. We also provide tools for identifying relevant conti...

We introduce a two-alternative forced-choice (2AFC) experimental paradigm to quantify expressed emotions in music using the arousal and valence (AV) dimensions. A wide range of well-known audio features are investigated for predicting the expressed emotions in music using learning curves and essential baselines. We furthermore investigate the scalability issues of using 2AFC in quantifying emot...

This paper presents a pedagogical and instructional-technology general method for building predictive models for education from time series log data. While it is common for models of learner achievement to include cognitive features, we instead are data mining only resource accesses in the learning environment. This has benefits in that the approach is inherently scalable to new contexts due to...

We study the offers submitted by consumers to a large Name-Your-Own-Price (NYOP) online retailer. A distinctive feature of this retailer is that it allows consumers to repeatedly submit offers on one and the same product. While consumers could identify the threshold price (the minimum price for which the retailer is willing to sell) by incrementing their offer in small steps in each consecutive...

Massive Open Online Courses (MOOCs) have received widespread attention for their potential to scale higher education, with multiple platforms such as Coursera, edX and Udacity recently appearing. Despite their successes, a major problem faced by MOOCs is low completion rates. In this paper, we explore the accurate early identification of students who are at risk of not completing courses. We bu...

ISSN: 2327-3798 (Print) 2327-3801 (Online) Journal homepage: http://www.tandfonline.com/loi/plcp21 Modelling lexical access in speech production as a ballistic process Bradford Z. Mahon & Eduardo Navarrete To cite this article: Bradford Z. Mahon & Eduardo Navarrete (2016) Modelling lexical access in speech production as a ballistic process, Language, Cognition and Neuroscience, 31:4, 521-523, D...