A successful virtual educational environment must be able to emulate the kernel of traditional environment. That is, the interactions must be maintained to preserve the relationship between the teacher and learners in the on-line class, and the relationship among the off-line learners. We developed two systems to provide the needed functions which can provide on-line and off-line interactions. ...

The analysis of theoretical learning models is basically concerned with the comparison of identification capabilities in different models. Modifications of the formal constraints affect the quality of the corresponding learners on the one hand and regulate the quantity of learnable classes on the other hand. For many inductive inference models – such as Gold’s identification in the limit – the ...

Successful learning with advanced learning technologies is based on the premise that students adaptively regulate their cognitive and metacognitive processes. However, research suggests that students are rather dysregulated in their learning. One major source of dysregulation is based on inaccurate metacognitive judgments made during learning. This study investigated learners’ accuracy and conf...

Executing an effective clinical practicum experience for distance learners requires systems to be in place to ensure that all students receive a quality clinical experience and meet course and program objectives. Key to achieving these successful outcomes is recognizing and overcoming the challenges involved in designing graduate practica for Master of Science in nursing candidates. A systemati...

Despite growing interest in data stream mining the most successful incremental learners still use periodic recomputation to update attribute information gains and Gini indices. This note provides simple incremental formulas and algorithms for computing entropy and Gini index from time-changing data streams.