Month: April 2024

Australia’s national(ist) history curriculum: history education as a site of attempted de-democratisation

Latest Results

Abstract

This paper explores the contested content of the Australian history curriculum to understand the curriculum’s national(ist?) purpose and investigate if national histories can be taught in a way which combats the anti-democratic forces at play in our culture. This question will be explored through analysis of the three topics in the Australian Curriculum: History 7–10, which have a strong focus on Australian history specifically, and semi-structured interviews with secondary teachers on pedagogies for history and instilling democratic dispositions in students (UniSQ ETH2023-0315). Since Prime Minister John Howard’s call for reform of the curriculum to ensure that the national narrative “is one of heroic achievement” (Howard, 2006), the conservative right’s desire to have the curriculum deliver a singular, nationalist narrative has become increasingly more extreme. We risk an “acute crisis of democracy” (Repucci and Slipowitz, 2021, p. 1) as our students are taught a singular narrative that silences First Nations peoples and other cultural minorities. The best defence against this nascent de-democratisation of Australian history classrooms is found in the vital work of history teachers as curriculum workers. If teachers adhere to the curriculum directives focused on historical thinking skills, our students must consider “different perspectives” and use a “range of sources” (ACARA, 2023a) to make evidence-based decisions about our past. The teaching of critical thinking and the use of varied evidence which considers a range of perspectives and assesses their reliability serves as a bulwark against the monocultural assault which seeks to control the content of the curriculum. If we ensure our next generation of citizens have the skills to make informed and critical choices rather than be blind adherents to a nationalist monomyth, our pluralistic liberal democracy will not only survive but thrive.

Ancient methods & modern memes: using Socratic circles and TikTok within classes to democratise your teaching

Latest Results

Abstract

Democratic education remains a contentious and much strived for goal within teaching practice. What is most often lacking are the precise tools and techniques that might be combined to make this democratic goal a reality within schools. Considerations of democratic approaches to education within the literature are frequently theoretical, but practically quite limited. Moving from a highly theoretical space to a practical approach ready to be applied within a modern classroom, this paper will explore a confluence of teaching approaches that might make democratic education possible. The techniques, tools and platforms provided for consideration by teachers and lecturers here are grouped around three core themes: accessibility; relevance and efficiency to generate and allow a space that is democratic in nature. The tools for accessibility are: Instructional Video; Assistive technologies; and Generative Artificial Intelligence. Whilst for relevance: YouTube and TikTok are explored. In regards to efficiency: Flipped Learning, Retrieval practice and Method of Loci are discussed. And when honing in on the democratic nature of classroom spaces Socratic circles and a broadly Socratic approach are key. By combining these techniques this paper will propose a highly practical, modern method for producing a democratic classroom, with notes on how teachers might be able to carve out space and thinking to defend their choices and the logic behind combining these techniques to address modern students' needs and requirements.

Investigation and classification of water resources management strategies: possible threats and solutions

Latest Results

Abstract

The scarcity of global water resources has been exacerbated by a variety of factors, including population growth, the impacts of climate change, and mismanagement. Policymakers face a challenge in managing tradeoffs between human water demands and maintaining the world’s water resources. This study investigates water resource management strategies using Iran’s example, a country in the Middle East with arid and semi-arid climate. A review of water resources management strategies in Iran shows the country’s policies leaned more on short-term solutions. Short-term water management addresses immediate shortages and emergencies, implemented during droughts and water scarcity, while long-term strategies reduce water demand by addressing underlying drivers and involve significant investments and planning horizons. Iran has focused on implementing short-term solutions to address the effects of water scarcity on food and water security. This work shows that short-sighted water policies such as the large-scale use of water resources and water transfers may cause adverse impacts, among those land subsidence due to groundwater withdrawal and environmental degradation. It is worth noting that such short sighted water policies do not constitute sustainable solutions to water scarcity. On the other hand, water policies that seek long-term sustainability are frequently ignored by policymakers. The latter water policies are herein evaluated for the purpose of increasing water supply. Strategies such as improving water consumption patterns and setting reasonable water pricing can contribute to remedy the water crises in arid countries like Iran. An overview of case studies is presented and assessed to illustrate the effectiveness of long-term, sustainable, water supply policies.

Benefits of air quality for human health resulting from climate change mitigation through dietary change and food loss prevention policy

Latest Results

Abstract

Food production, particularly cattle husbandry, contributes significantly to air pollution and its associated health hazards. However, making changes in dietary habits, such as reducing red meat consumption and minimizing food waste, can lead to substantial improvements in both air quality and human health. In this study, we explored the impact of dietary changes on future air quality and human wellbeing. We also assessed the influence of dietary transformation policies in the context of climate change mitigation, with the objective of understanding how policies can effectively complement each other. We used a chemical transport model and an integrated assessment model to determine changes in fine particulate matter (PM2.5) and ozone (O3) concentrations. Then, an exposure model was applied to estimate premature deaths as a consequence of air pollution. Our results showed that dietary changes could play a crucial role in mitigating air pollution, particularly in regions where agricultural activities emit significant quantities of ammonia. In the European Union, for example, dietary changes could lead to a reduction of 5.34% in PM2.5 by 2050. Similarly, in Asia, the models projected a reduction of 6.23% in PM2.5 by 2100. Ground surface O3 levels in Southeast Asia were projected to drop by as much as 12.93% by 2100. Our results further showed that dietary changes could lead to significant reductions in global mortality associated with PM2.5 and O3, with 187,500 and 131,110 avoided deaths per year expected by 2100. A combined approach that integrates dietary changes with climate change mitigation measures could lead to more comprehensive air quality improvements in specific regions. However, careful consideration is needed to address any potential adverse effects on O3 concentrations in some areas.

ArEntail: manually-curated Arabic natural language inference dataset from news headlines

Latest Results

Abstract

Natural language inference (NLI), also known as textual entailment recognition (TER), is a crucial task in natural language processing that combines many fundamental aspects of language understanding. Despite the recent significant advancement in NLI, primarily driven by the development of diverse large-scale datasets, most of the progress has been confined to English. This is attributed to the scarcity of human-annotated corpora for most other languages, notably Arabic. In this paper, we present an Arabic NLI dataset called ArEntail, consisting of 6000 sentence pairs collected from news headlines and manually labeled to indicate whether an entailment relationship links the sentences or not without resorting to machine translation from English datasets. To our knowledge, this is the largest yet human-crafted NLI dataset for the Arabic language. We offer various data analyses and establish baseline results using state-of-the-art pre-trained models for Arabic, in addition to a human-based evaluation. Our findings revealed that AraBERT-base v2, the best-performing model, achieves an accuracy of 93%, revealing a gap of 2.6% compared to human performance and presenting a valuable opportunity for further advancements in modeling techniques in future research. Besides, the “hypothesis-only” baseline performance baseline closely resembles a random guesser’s, indicating the rarity of annotation artifacts compared to prior NLI English benchmarks. We also evaluated GPT-3.5-turbo in zero-shot and few-shot Arabic NLI learning scenarios and observed promising outcomes with a cautious approach, awaiting strong clues for predicting the presence of the entailment relationship.

A Toolkit for Delirium Identification and Promoting Partnerships Between Carers and Nurses: A Pilot Pre–Post Feasibility Study

Latest Results

Abstract

Background

Delirium is frightening for people experiencing it and their carers, and it is the most common hospital-acquired complication worldwide. Delirium is associated with higher rates of morbidity, mortality, residential care home admission, dementia, and carer stress and burden, yet strategies to embed the prevention and management of delirium as part of standard hospital care remain challenging. Carers are well placed to recognize subtle changes indicative of delirium, and partner with nurses in the prevention and management of delirium.

Objective

To evaluate a Prevention & Early Delirium Identification Carer Toolkit (PREDICT), to support partnerships between carers and nurses to prevent and manage delirium.

Design

A pre–post-test intervention and observation study.

Main Measures

Changes in carer knowledge of delirium; beliefs about their role in partnering with nurses and intended and actual use of PREDICT; carer burden and psychological distress. Secondary measures were rates of delirium.

Participants

Participants were carers of Indigenous patients aged 45 years and older and non-Indigenous patients aged 65 years and older.

Intervention

Nurses implemented PREDICT, with a view to provide carers with information about delirium and strategies to address caregiving stress and burden.

Key Results

Participants included 25 carers (43% response rate) (n = 17, 68% female) aged 29–88 (M = 65, SD = 17.7 years). Carer delirium knowledge increased significantly from pre-to-post intervention (p =  < .001; CI 2.07–4.73). Carers’ intent and actual use of PREDICT was (n = 18, 72%; and n = 17, 68%). Carer burden and psychological distress did not significantly change. The incidence of delirium in the intervention ward although not significant, decreased, indicating opportunity for scaling up.

Conclusion

The prevention and management of delirium are imperative for safe and quality care for patients, carers, and staff. Further comprehensive and in-depth research is required to better understand underlying mechanisms of change and explore facets of nursing practice influenced by this innovative approach.