Formally describing and assessing the difficulty of learning and teaching material is important for quality assurance in university teaching, for aligning teaching and learning activities, and for easing communications among stakeholders such as teachers and students. This paper proposes a novel taxonomy to describe and quantify the difficulty…

We validate an eye-tracking method applicable for studying memory processes in complex cognitive tasks. The method is tested with a task on probabilistic inferences from memory. It provides valuable data on the time course of processing, thus clarifying previous results on heuristic probabilistic inference. Participants learned cue values of…

This study considers the degree to which two quantitative indices--Lexiles and Coh-Metrix--discriminate across levels of difficulty and types of beginning reading texts. The database consisted of 444 texts, representing seven text types that are part of reading/language arts instruction. These text types were distributed across seven levels of…

Discussion of the use of Latent Semantic Indexing to determine relevancy in information retrieval focuses on statistical regression and Bayesian methods. Topics include keyword searching; a multiple regression model; how the regression model can aid search methods; and limitations of this approach, including complexity, linearity, and…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…