The effects of online Team-Based Learning on undergraduate nursing students' performance, attitudes and accountability during COVID-19 pandemic.

BACKGROUND AND AIM: The COVID-19 pandemic forced many institutions to move Team-Based Learning to an online format. The primary aim of this study is to examine the performance of undergraduate nursing students on tRAT and iRAT during online TBL. The secondary aims are to evaluate the students' attitudes and their accountability, preferences and satisfaction with online TBL. METHODS: The study employed a one-group pretest-posttest quasi-experimental design. The primary outcome was evaluated by comparing the students' average scores in the tRAT versus the iRAT in each online TBL session. The secondary outcomes were evaluated through the questionnaire designed by Parmelee et al. (2009) and the Team-Based Learning Student Assessment Instrument (TBL-SAI) (Mennenga, 2012). RESULTS: A statistically significant improvement was identified between tRAT and iRAT performances in all online TBL sessions (p<0.001). Students' satisfaction with team experience showed a statistically significant increase (p=0.003). Participants considered the peer evaluation to be fair (p<0.001), although it didn't encourage them to study more (p=0.028). Finally, students felt they were able to make the right decisions (p<0.001). The mean scores for accountability (m=30±3.7) and preferences for TBL (m=51.8±6.3) were higher than their neutral values (n=24; n=48). Students' satisfaction was neutral (m=27.8±5, n=27). CONCLUSIONS: In online TBL, teamwork has improved individual performances and has been appreciated by the participants. The online TBL had a positive effect on the accountability of students who preferred it to frontal lectures.

Uncovering Olive Biodiversity through Analysis of Floral and Fruiting Biology and Assessment of Genetic Diversity of 120 Italian Cultivars with Minor or Marginal Diffusion.

The primary impetus behind this research was to provide a boost to the characterization of the Italian olive biodiversity by acquiring reliable and homogeneous data over the course of an eight-year trial on the floral and fruiting biology of 120 molecularly analyzed cultivars, most of which have either low or very low diffusion. The obtained data highlighted a considerable variability to almost all of the analyzed parameters, which given the uniformity of environment and crop management was indicative of a large genetic variability in the accessions under observation, as confirmed through the molecular analysis. Several cases of synonymy were reported for the first time, even among plants cultivated in different regions, whilst all of the varieties examined, with only one exception, showed very low percentages of self-fruit-set, indicating a need for the employment of suitable pollinator plants. Eventually, a fitted model allowed us to evaluate the clear effects of the thermal values on blossoming, particularly in the months of March and April, whereas the climatic conditions during the flowering time had only a modest effect on its duration.

IPHEN--a real-time network for phenological monitoring and modelling in Italy.

This paper aims to describe the Italian PHEnology Network (IPHEN), a cooperative project started in 2006 with the aim of producing nationwide maps of analysis and forecast of plants phenological stages mainly used to satisfy the needs of agriculture, health and environmental care. Iphen is a data processing system composed of the following main segments (a) collection of atmospheric and phenological data, (b) processing of data with suitable phenological and geo-statistical models and (c) phenological maps of analysis and forecast. In more detail, IPHEN maps of analysis (featuring phenological stages reached at the date of processing) are produced with models based on a Normal Heat Hours approach which weighs hourly air temperature effectiveness for plant phenological progression applied to national grids of hourly temperature derived from the operational agro-meteorological network of CRA-CMA. A correction scheme based on phenological surveys provided by volunteer observers is applied to the first guess maps of analysis to obtain final maps. Forecast maps (prediction of the days of occurrence of relevant phenological stages) are produced on the basis of GFS model medium range forecasts and climatic data. Freeware IPHEN maps for grapevine, common and Arizona cypress, black elder, olive and locust trees are broadcasted weekly on the CRA-CMA website. The positive operational results of IPHEN are testified by 150 maps broadcasted during the 2011 season for the above-mentioned species. The system performances and reliability have been analysed focusing on the analysis of phenological simulation errors and on the sensitivity of phenological maps to anomalous atmospheric circulation patterns. The error analysis shows that phenological models are characterized by advances/delays that justify the adoption of an observation based correction scheme. The sensitivity analysis highlights that the system is responsive to the effects of circulation blocking systems leading to phenological advances and delays.