Investigating the antecedents to teaching green information technology (Green IT)

Abstract

There is abundant scientific evidence that the natural environment, on which we are completely dependent for life, is degrading and depleting to the extent that our medium-to longterm well-being and existence is under threat. It is also clear that IT is contributing to this degradation and depletion, which requires that Green IT practices be an imperative. Since Green IT practices are often not common sense, it is vital that these Green IT practices are taught to others, and teachers typically have the skills and opportunities to teach many people. This demonstrates the relevance and significance of the study. The research problem is the lack of research addressing the theoretical antecedents to teaching Green IT, which are considered vital for understanding how to improve student teachers' intention to teach Green IT and their resultant teaching of Green IT. The study addressed this research problem by surveying student teachers using a quantitative questionnaire at three teacher training institutions in Swaziland, Africa. The resultant data was analysed using structural equation modeling (SEM) based on an a priori set of antecedents and their hypothesized relationships from the literature. The findings indicate that the most beneficial allocation of time and resources would be to enhance the student teachers' level of awareness, perceived behavioural control and person-related beliefs to positively influence their intention to teach Green IT, and consequently, their actual behaviour of teaching Green IT.

Impact of soil type and harvest season on the ratooning ability of sugarcane varieties

“…Todd et al. (2014) and Dlamini and Ramburan (2016) also reported significant variety × soil interactions. Variety N36 with regard to sucrose yield performed better on moderately and poorly draining soils than the other varieties, while N25 performed better on well-draining soils.…”

“…Other studies reported significant variety × season interactions as well (Di Bella et al. , 2009; Dlamini and Ramburan, 2016; Farrag et al. , 2019), emphasizing the importance of selecting varieties for seasonal adaptation.…”

“…, 2006; Rodriguez et al. , 2010; Dlamini and Ramburan, 2016) reported significant variety × environment interaction effects on yield. This highlights the presence of opportunities to identify varieties with greater adaptation to specific environments (Campbell and Jones, 2005).…”

“…However, the findings of the study by Dlamini and Zhou (2022) did not take into consideration the interaction effects between varieties’ yield and RA, and soils and harvest seasons. The general understanding is that soil and harvest season have significant effects on the performance of sugarcane varieties, and therefore, new varieties are tested across different soil types and seasons at representative trial sites prior to their release as commercial cultivars (Butler, 2001; Dlamini and Ramburan, 2016). However, no in-depth studies have been conducted to determine the relative contribution of these factors (soil, season, and varieties’ RA) to RYD.…”