Predicting student performance is a major tool in learning analytics. This study aims to identify how different measures of massive open online course (MOOC) data can be used to identify points of improvement in MOOCs. In the context of MOOCs, student performance is often defined as course completion. However, students could have other learning…

The flipped classroom model challenges the way educators structure and implement their courses, and how students learn. Although there is burgeoning evidence for the effectiveness of flipped classrooms for improving student performance, student satisfaction is also an important consideration insofar as student evaluations can affect uptake of new…

This paper describes and assesses the development of an online solution for the experiential support of distance learning by teachers. Three hundred and forty-eight randomly selected K-12 teachers participated in this pilot study using the online learning environment designed in this research. Teachers' products, surveys, and interviews were…

This paper illustrates a 5-year case study (from 2001 to 2005) regarding a course in educational technology that involved from 100 to 150 student teachers per year for a total of more than 500 trainees. Since the first version of the course, which was entirely based on a face-to-face approach, computer mediated collaborative learning techniques…

Discusses issues involved in the evaluation of online courses, focusing on the peculiarities that distinguish such evaluation from that of traditional distance education. Proposes a methodological approach for monitoring and evaluating online courses that considers individual's characteristics, interpersonal communication, support from tutors and…