Understanding spoken words involves a rapid mapping from speech to conceptual representations. One distributed feature-based conceptual account assumes that the statistical characteristics of concepts' features--the number of concepts they occur in ("distinctiveness/sharedness") and likelihood of co-occurrence ("correlational…

In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…

The task of developing vocational nursing students' critical thinking abilities is one of the greatest challenges facing nurse educators today. Licensed vocational nurses (LVNs) must be trained to think critically in order to provide safe patient care. Due to the expanded role and functions in the LVN's scope of practice, LVNs are making more…

The purpose of this study was to determine the effect of using concept mapping to promote reflective instructional decision-making among junior level education preservice teachers when planning lessons for elementary and secondary students. The researchers were interested in determining if there was a connection between the use of concept mapping…

The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…