The following link provides a well-referenced introduction to learning analytics, a relatively new field of data collection for educational purposes. The site offers definitions of terms, history, methods, uses, software, ethical issues, and resources. https://en.wikipedia.org/wiki/Learning_analytics [1] The link below provides information on educational data mining, including such topics as us...

Computer-based learning systems can now keep detailed logs of user-system interactions, including key clicks, eye-tracking, and video data, opening up new opportunities to study how students learn with technology. Educational Data Mining (EDM; Romero, Ventura, Pechenizkiy, & Baker, 2010) is concerned with developing, researching, and applying computerized methods to detect patterns in large col...

The educational data mining community has not been paying much attention to how much assistance a student needs. Feng and Heffernen[1] showed that we can predict student performance better by accounting for amount of assistance, but didn't reduce it to a value that could be shared with students. In this paper we want to see if we can better model student performance by replacing traditional bin...

In this paper, we show how using data mining algorithms can help discovering pedagogically relevant knowledge contained in databases obtained from Web-based educational systems. These findings can be used both to help teachers with managing their class, understand their students’ learning and reflect on their teaching and to support learner reflection and provide proactive feedback to learners.

In this paper, I describe part of my doctoral dissertation in which I have attempted to automatically detect a phenomenon known as the chameleon effect in collaborative learning settings. The chameleon effect refers to non-conscious mimicry of other comportments (e.g. postures, mannerisms, facial expressions), such that one's behavior passively and unintentionally changes to match a partner’s b...

The author's own experience as a student and later as an active lecturer in Afghanistan has shown that the methods used in the Afghan educational systems do not provide students with the minimum guidance needed to select the proper course of study before they enter the national university entrance exam (Kankor). The result is often high attrition rates and poor performance in

Simulated data plays a central role in Educational Data Mining and in particular in Bayesian Knowledge Tracing (BKT) research. The initial motivation for this paper was to try to answer the question: given two datasets could you tell which of them is real and which of them is simulated? The ability to answer this question may provide an additional indication of the goodness of the model, thus, ...