introduction: collaborative testing is a learning strategy that provides students with the opportunity to learn and practice collaboration. this study aimed to determine the effect of collaborative testing on test performance and retention of course content in nursing students of shiraz university of medical sciences, shiraz, iran. methods: this quasi-experimental study was carried out on 84 st...

one of the distinguishing features of implementation research is the importance given to involve implementers in all aspects of research, and as users of research. we report on a recent implementation research effort in india, in which researchers worked together with program implementers from one of the longest serving government funded insurance schemes in india, the rajiv aarogyasri scheme (...

This study aimed to examine the effect of two types of collaborative output tasks on Iranian EFL learners’ comparative adjectives with two or more syllables. Thirty Iranian EFL learners participated in this study which were then divided into two experimental and one control groups; one experimental group received dictogloss task in 4-pairs and the other experimental group was given text reconst...

The increasing involvement of industry in academic research raised concerns whether university-industry projects actually meet the same academic standards as university projects in-house. Looking at the academic output and impact of collaborative versus non-collaborative Ph.D. projects at Eindhoven University of Technology, we observe – unexpectedly – that doctoral candidates who conducted a co...

This project focuses on the development of a language of interaction based on developing an affect space in collaborative sensing environments. The goal is to design a networked semantics of caress, where the interactivity can recognize, understand, and even express non-rational states such as emotion or intention . This suggests the development of qualitative models for data flow and data-arch...

In this paper, we address the task of active learning for linear regression models in collaborative settings. The goal of active learning is to select training points that would allow accurate prediction of test output values. We propose a new active learning criterion that is aimed at directly improving the accuracy of the output value estimation by analyzing the effect of the new training poi...