ABSTRACT
21st century brought along a considerable decrease in social interactions, due to the newly emerged lifestyle around the world, which became more noticeable recently of the COVID-19 pandemic. On the other hand, children with autism spectrum disorder have further complications regarding their social interactions with other humans. In this paper, a fully Robotic Social Environment (RSE), designed to simulate the needed social environment for children, especially those with autism is described. An RSE can be used to simulate many social situations, such as affective interpersonal interactions, in which observational learning can take place. In order to investigate the effectiveness of the proposed RSE, it has been tested on a group of children with autism, who had difficulties in emotion recognition, which in turn, can influence social interaction. An A-B-A single case study was designed to show how RSE can help children with autism recognize four basic facial expressions, i.e., happiness, sadness, anger, and fear, through observing the social interactions of two robots speaking about these facial expressions. The results showed that the emotion recognition skills of the participating children were improved. Furthermore, the results showed that the children could maintain and generalize their emotion recognition skills after the intervention period. In conclusion, the study shows that the proposed RSE, along with other rehabilitation methods, can be effective in improving the emotion recognition skills of children with autism and preparing them to enter human social environments.
ABSTRACT
The interruption in the education of students with autism spectrum disorders (ASD) during the COVID-19 pandemic has necessitated telehealth services offered both to the individuals and their parents. Therefore, this study aimed to examine the effects of the simultaneous prompting procedure and observational learning in teaching science facts to middle-school students with ASD by using multiple probe designs with probe trials via telehealth. The researchers also conducted follow-up and novel adult probe sessions to assess the effects of simultaneous prompting procedure and observational learning along with the opinions of students and their mothers in terms of social validity. Results indicated that students acquired the target science facts and observational learning skills, maintained them over time, and generalized them across different people. The implication of the findings and directions for future research was additionally discussed.
ABSTRACT
Due to the increasing appearance of global contagious diseases such as COVID-19, the goal of this research is to directly and explicitly advance the learning motivation, interests, and performance of online course participants into developing sustainable development and strategic approaches to discover the effective solution of the research question: how to provide the most effective online courses of sustainable development strategy for contemporary higher education in order to advance the student’s learning motivation, confidence, and desires? This is accomplished by integrating the three briefest analytical aspects of the Social Learning Theory, the main theoretical philosophies of Learning Community, and 10 core technological features to determine the most critical core determinants. Beyond the complex measured results, the most valuable conclusions were: (1) the highest Standardized Comparative Weight Scales (SCWS) was located in the Publicity Philosophy for contemporary online higher education sustainable development strategy, which meant the first hypothesis was accepted and the second and third hypotheses were denied. Hence, the Publicity Philosophy (PP) of the learning community directly and effectively advanced the contemporary online higher education sustainable development strategy for educational institutions as the best solution to the research question in order to achieve the main research objective. (2) Continuously, in detail, the PP of the learning community was directly and effectively enforced by the Professionalization Technology Feature of Course Function. This directly indicated that most online course participants focus on the professionalized technological features in the system operation, such as friendly operational platforms for easy uploads, convenient downloads of online course information, and real-time news during online courses at higher education institutions. Significantly, the aggregated technology in group discussions or teamwork assignments and the complete and fair evaluation of online course technological system can facilitate collaborative lesson preparation and lesson observation of the PP of the learning community in order to advance online course interests and learning performance to be the sustainable development strategic approach in contemporary higher education era.
ABSTRACT
There has been a gradual shift over the years towards the use of social networking sites (SNS) in formal and informal English language learning which was accelerated during the COVID-19 pandemic. Though there is an abundance of articles dedicated to probing into the in-depth use of SNS in English language learning, a clear correlation between the formal and informal application of SNS in English language learning is still scarce. Therefore, this systematic review aims to exhaustively analyse the recent findings regarding the integration of SNS in English language learning in both formal and informal learning contexts. Two databases were employed, which are the Web of Science (WoS) and Educational Resources Information Centre (ERIC) and thirty articles were extracted for further review. These articles were selectively restricted to a five-year (2018–2022) range and have been screened for any contradiction against the research objectives. As an overview, SNS is favoured for different kinds of applications in teaching and learning purposes due to observed improvements in overall language skills, social interactions, motivation and flexibility. It is proposed for future researchers to focus on a specific target group as well as specific SNS platforms which could help the researchers to minimize discrepancies.
ABSTRACT
The outbreak of COVID-19 promoted strict restrictions to human activities in China, which led to a dramatic decrease in most air pollutant concentrations (e.g., PM2.5, PM10, NOx, SO2 and CO). However, an obvious increase in ozone (O3) concentrations was found during the lockdown period in most urban areas of China. In this study, we conducted field measurements targeting ozone and its key precursors by utilizing a novel proton transfer reaction time-of-flight mass spectrometer (PTR-TOF-MS) in Changzhou, which is representative of the Yangtze River Delta (YRD) city cluster of China. We further applied the integrated methodology including machine learning, an observation-based model (OBM) and sensitivity analysis to obtain insights into the reasons causing the obvious increase in ozone. Major findings include the following: (1) by deweathered calculation, we found changes in precursor emissions contributed 1.46 ppbv to the increase in the observed O3 during the full-lockdown period in 2020, while meteorology constrained 3.0 ppbv of O3 in the full-lockdown period of 2019. (2) By using an OBM, we found that although a significant reduction in O3 precursors was observed during the full-lockdown period, the photochemical formation of O3 was stronger than that during the pre-lockdown period. (3) The NOx/VOC ratio dropped dramatically from 1.84 during the pre-lockdown to 0.79 in the full-lockdown period, which switched O3 formation from a VOC-limited regime to the boundary of a NOx- and VOC-limited regime. Additionally, box model results suggested that the decrease in the NOx/VOC ratio during the full-lockdown period could increase the mean O3 by 2.4 ppbv. Results of this study give insights into the relationship between O3 and its precursors in urban area and demonstrate reasons for the obvious increase in O3 in most urban areas of China during the COVID-19 lockdown period. This study also underlines the necessity of controlling anthropogenic oxygenated volatile organic compounds (OVOCs), alkenes and aromatics in the sustained campaign of reducing O3 pollution in China.
ABSTRACT
Cooperation between government and social capital is an important starting point in the supply-side reform of public services. It is also an effective practice in public governance innovation. Based on policy diffusion theory and event history analysis (EHA), this study analyzes panel data from 282 mainland prefecture-level cities in China from 2004–2020 to explore public–private partnerships’ critical diffusion factors. The study reveals that motivation factors, resource/obstacle factors, and external factors affect government and social capital cooperation policies to different extents. The main driving forces for local governments to adopt these policies are population size, level of economic development, government financial resources, the learning mechanism, and the imitation mechanism. This study proposes the following arguments: firstly, that the ultimate goal of policy innovation is to solve social contradictions and meet public demand;secondly, that economic resources can help to adopt policy innovation and proper diffusion;thirdly, that the public–private partnership (PPP) model has been continuously developed by using experience from other projects or cities through a learning mechanism;and finally, that policy publicity and public opinion expressed via the mainstream media are not only an inducement for policy innovation and diffusion, but also a powerful guarantee. The experience of local governments in China can help to verify whether the “positive factors” that are traditionally considered to be conducive to the cooperation between the government and social capital are effective, and to reveal the internal logic of the innovation diffusion of public policies of local governments in China from a more multidimensional perspective.