EVALUATING TWO MODELS OF COLLABORATIVE TESTS IN AN ONLINE INTRODUCTORY STATISTICS COURSE

This study explored the use of two different types of collaborative tests in an online introductory statistics course. A study was designed and carried out to investigate three research questions: (1) What is the difference in students’ learning between using consensus and non-consensus collaborative tests in the online environment?, (2) What is the effect of using consensus and non-consensus collaborative tests on students’ attitudes towards statistics?, and (3) How does using a required consensus vs. a non-consensus approach on collaborative tests affect group discussions? Qualitative and quantitative methods were used for data analysis. While no significant difference was found between groups using the two collaborative testing formats, there was a noticeable increase in students’ attitudes across both formats towards learning statistics. This supports prior research on the benefits of using collaborative tests in face-to-face courses. First published May 2015 at Statistics Education Research Journal Archives

Collaborative monitoring of chlorine flavours in drinking water

Sensory data have always been used by concerned citizens to evaluate environmental variables within volunteer monitoring initiatives. The work presented in this paper intends to explore the possibility of using human sensory data as a source of information to monitor environmental quality variables within a public participation context. A case study that uses untrained citizens to monitor chlorine flavour of tap water is presented. Two collaborative monitoring tests were developed: (1) the one-sample one-trial test and (2) the Chlorine@Home test. The tests intended to address the participatory context required by collaborative monitoring initiatives. The development of the collaborative tests was supported by two tests that were designed for a laboratory context and explored sensory methodologies. The sensory tests implemented were: (1) the paired comparison test, (2) the forced-choice triangle test (ASTM Method E679-04). The collaborative experiments showed that the ability to detect chlorine flavours on a participatory context was independent on chlorine concentrations. The use of sensors by citizens may be a way to increase the credibility of the information. Nevertheless, this case study suggested that more research should be carried out to explore ways to involve citizens while increasing data reliability.