Errors are often perceived as undesirable events to be avoided at all costs. However, a growing body of research suggests that making errors is, in fact, beneficial for learning. Building on human resource development literature, the present review proposes a 3P framework of approaches to errors during learning: prevention (avoiding or observing…

The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…

This article presents a framework for the cognitive diagnosis of learners' errors in an interactive learning activity occurring in an intelligent learning environment. The proposed framework supports the implementation of an authoring tool. This tool helps instructional designers to specify the features of a component for cognitive diagnosis. Two…

Defining a "misconception" as an error of translation (transformation, correspondence, interpolation, interpretation) between two different kinds of information which causes students to have incorrect expectations, a Taxonomy of Errors has been developed to examine student misconceptions in an introductory biology course for science…

This study found that teachers' ratings of their 8 severely mentally handicapped pupils' (ages 9-18) classroom behavior were correlated with children's performance on a discrimination learning task. The factors of attention/distractibility and responsivity to consequences correlated significantly with number of errors and number of trials to…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…