Search results

Our study focuses on providing empirical evidence regarding the optimization of podcasting in asynchronous learning. This action research aimed to innovate the delivery of asynchronous classes using differentiated podcasts.

We utilized action research as the research design for the study. Participating in action research entails developing practical knowledge to improve educational practices through specific methods and critical perspectives (Sáez Bondía and Cortés Gracia, 2022). According to Burns (2007), action research involves deliberate interventions usually prompted by identified issues, mysteries or inquiries that individuals in the social setting seek to improve or change. Implementing changes to enhance individuals' actions and understanding within their context is the focus of action research (Kemmis, 2010). The study’s approach is ideal for examining new practices and gaining enhanced theoretical insights (Altrichter et al., 2002). Engaging in action research helps enhance understanding and empowers us to impact and enhance practices through continuous reflection, exploration and action. Through this iterative process, we can continuously enhance our comprehension and make substantial strides toward fostering positive transformation.

The study findings showed an apparent rise in student regulation and engagement and remarkable enhancements in learning outcomes, as demonstrated by differences in pre-test and final exam scores. These results highlight the actual effect of specialized podcasts on self-paced inducing students' self-efficacy in learning. Our research provides valuable insights on effectively incorporating podcasts into education, offering innovations and improvement of practice among educators and institutions adapting to the ever-changing landscape of the educational environment while catering to the diverse needs of the learners. This research is pioneering research catering to the various learning styles of asynchronous learning environments.

Although our current sample offered valuable insights, upcoming studies could gain from more extensive and more diverse participant groups to strengthen the reliability of our results and guarantee broader applicability across various demographics and contexts. Moreover, the length of our intervention may have been relatively brief, which could have limited our ability to evaluate the long-term impact of customized podcasts on learning results. Continued investigation into the long-term effects of these interventions could provide valuable insights into their effectiveness over time and help shape the creation of more lasting educational approaches.

Innovation in asynchronous learning differentiated teaching attuned to the diverse learning styles of the students.

The study promotes equitable education, which eventually promotes learning outcomes of the students.

We created differentiated podcasts tailored to the learning styles of the students. This research is pioneering research catering to the various learning styles of asynchronous learning environments.

Milk and yoghurt provide essential sources of nutrition throughout the life cycle in the Irish diet. Health claims on dairy product labels were popular in the 1980s, and since the introduction of the nutrition and health claims (NHC) Regulation (EC) No 1924/2006 in 2007, many new regulated claims have been used to communicate product benefits. Meanwhile, COVID-19 and the Farm to Fork strategy have heightened consumer awareness of health issues. All of these factors have contributed to a change in our food environment and interest in health. In addition, the European Commission is working to introduce a legislative proposal on nutrient profiles (NP) to restrict the use of NHC on foods that are high in salt, fat or sugar. This qualitative study aims to research knowledge on adults’ attitudes, perceptions and behaviour towards NHC on dairy products.

The study used a thematic analysis using transcripts from a series of discussion groups, attended by adults (n = 24). The participants also completed an introductory questionnaire.

The study noted positive attitudes towards dairy protein. This attitude was common across age, gender or life stage. There were misperceptions regarding yoghurt composition and health benefits. There were negative perceptions of low-fat nutrition claims on yoghurt, which led to a preference for full-fat dairy products. This requires further insight and research.

Participants from a wider socio-demographic group could have broadened the research limits of this project.

These findings will interest policymakers, regulators, dieticians and the food industry.

The purpose of this paper is to examine the effectiveness of an improved dummy variables control grey model (DVCGM) considering the hysteresis effect of government policies in China's energy intensity (EI) forecasting.

Energy consumption is considered as an important driver of economic development. China has introduced policies those aim at the optimization of energy structure and EI. In this study, EI is forecasted by an improved DVCGM, considering the hysteresis effect of energy-saving policies of the government. A nonlinear optimization method based on particle swarm optimization (PSO) algorithm is constructed to calculate the hysteresis parameter. A one-step rolling mechanism is applied to provide input data of the prediction model. Grey model (GM) (1, N), DVCGM (1, N) and ARIMA model are applied to test the accuracy of the improved DVCGM (1, N) model prediction.

The results show that the improved DVCGM provides reliable results and works well in simulation and predictions using multivariable data in small sample size and time-lag virtual variable. Accordingly, the improved DVCGM notes the hysteresis effect of government policies and significantly improves the prediction accuracy of China's EI than the other three models.

This study estimates the EI considering the hysteresis effect of energy-saving policies in China by using an improved DVCGM. The main contribution of this paper is to propose a model to estimate EI, considering the hysteresis effect of energy-saving policies and improve forecasting accuracy.

The purpose of this paper is to explore the relationship between formal environmental regulation (FER) and informal environmental regulation (IER), technological innovation and employment.

This paper uses data from the 30 provinces of China during 2003–2015. The impacts of formal and IER and technological innovation on employment are estimated by generalized least squares, and the eastern region of China is analyzed separately.

First, both formal and IERs have different degrees of significant impact on employment, and the relationship is not a simple linear. FER has an inverted U-shaped relationship with employment, but IER has a U-shaped relationship. However, in the test including technological innovation, the results of the national sample and the eastern sample are different. In the eastern sample, the relationship between informal regulation and employment has an inverted U-shaped curve. Second, the results of model 3 and model 6 show that technological innovation has a significant negative effect on employment both in the national and the eastern region sample.

This paper puts forward corresponding policy implications: first, in designing environmental regulations, it is necessary to consider not only the stringency but also the type of regulation. Second, environmental regulations need to be differentiated by region. Finally, when designing environmental regulations, it is necessary to consider more flexible employment policies that are contingent on the stringency of regulations, in order to prevent employment decline due to technological innovations.

The conclusions about the influence of environmental regulation on employment reached are not consistent in China. Most existing research studies seldom consider environmental regulations into categories and focus only on the whole environmental regulation. This paper pays attention to the influences of different types of environmental regulations on employment. It analyzes the eastern region separately to explore whether there is a difference in the effects of environmental regulations. Furthermore, this considers the effect of technological innovation as a mediator.

As the US-China conflict intensifies, the United States is pursuing a ‘decoupling’ strategy to build a new world trade order, arguing that the current World Trade Organization (WTO) system does not properly regulate China's non-market economic system. The WTO provides special and differentiated treatment (S&DT) for developing countries. The United States argues that China should give up its developing country (DC) status. Sufficient research on the DC status and S&DT has not been conducted as a means of resolving the US-China conflict. Decoupling means the collapse of the global supply chain (GSC), which will bring substantial shock to the global economy and a catastrophe for China. This paper examines the re-classification of DC status and S&DT in the context of US-China conflict and seeks an approach for China to avoid decoupling and coexist with the United States. It would be an optimal way for China to revive the WTO first and to improve its economic system through negotiations under the WTO.