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The purpose of this study was to evaluate rapid automatized naming skills (RAN) and immediate memory processes in 243 Chinese Mandarin-speaking elementary readers (ranging from Grade 1 to Grade 5). For RAN subtests, the mean naming time decreased monotonically with grade level in good and average readers, and a similar trajectory was found in poor readers, even though they were generally slower in rapid naming. Regardless of grouping methods (counting all participants or counting good readers only), RAN Character emerged as a significant predictor of various Chinese reading measures. Different from classical findings in English readers indicating that RAN Number was a better correlate of reading than RAN Object, RAN Object outperformed RAN Number and became a significant predictor of Chinese reading speed and spelling, suggesting that the differences in predictive power of RAN tasks may be language specific. Comparison of memory profiles for good, average, and poor readers revealed that the patterns varied depending on mode of stimulus presentation or response. Poor readers performed poorly on subtests involving a visual component and did relatively better on subtests involving verbal cues only, whereas a reversed pattern was shown in the group of good readers. The findings were interpreted to suggest that good and poor Chinese readers may be essentially different in applying visual strategies and verbal mediation during visual-verbal intra- and intermodal processing, and visual skills appear to be particularly important in reading of Chinese.

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Realising the Sustainable Development Goals (SDGs) will require transformative changes at micro, meso and macro levels and across diverse geographies. Collaborative, transdisciplinary research has a role to play in documenting, understanding and contributing to such transformations. Previous work has investigated the role of this research in Europe and North America, however the dynamics of transdisciplinary research on ‘transformations to sustainability’ in other parts of the world are less well-understood. This paper reports on an international project that involved transdisciplinary research in six different hubs across the globe and was strategically designed to enable mutual learning and exchange. It draws on surveys, reports and research outputs to analyse the processes of transdisciplinary collaboration for sustainability that took place between 2015–2019. The paper illustrates how the project was structured in order to enable learning across disciplines, cultures and contexts and describes how it also provided for the negotiation of epistemological frameworks and different normative commitments between members across the network. To this end, it discusses lessons regarding the use of theoretical and methodological anchors, multi-loop learning and evaluating emergent change (including the difficulties encountered). It offers insights for the design and implementation of future international transdisciplinary collaborations that address locally-specific sustainability challenges within the universal framework of the 2030 Agenda for Sustainable Development.

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