Comprehensive Level Research Articles

Reading Comprehension of Key Stage 2 Learners

Reading comprehension is a critical learning skill for all students, as it is the process of simultaneously extracting and constructing meaning through interaction and involvement with written language. There are many reasons why children may have difficulty understanding what they read, including a lack of vocabulary, fluency, and word recognition. In this premise, this study aimed to determine the reading comprehension levels of key stage 2 learners in terms of vocabulary, fluency, and word recognition. The study was tested on 83 key stage 2 learners using a self-made questionnaire that passed stringent tests of validity and reliability. The data were statistically analyzed using the mean, t-test, and analysis of variance. Overall, the reading comprehension level of key stage 2 learners was at an instructional level. When grouped according to four variables, the reading comprehension level of key stage 2 learners in all three areas is at the instructional level. Further, no difference was found in the reading comprehension level of key stage 2 learners in all three areas when compared by their profile variables. Learners’ instructional rating in the three areas stems from poor vocabulary knowledge and less mastery in reading basic sight words that impede them from comprehending the given reading material. These calls for DepEd authorities, reading implementers, and school stakeholders to consider the reading profile of key stage 2 learners in proposing reading programs and in the development of localized instructional materials. Keywords: Reading comprehension, Key Stage 2, learners

Students’ Perceptions of Using Reciprocal Teaching Groups Strategy in Extensive Reading Activities

Reading plays a pivotal role in language learning, particularly in acquiring proficiency in English. However, Indonesian secondary students often struggle with comprehending reading materials due to their difficulty level exceeding their proficiency and a less conducive learning environment that contributes to disengagement. This gap in reading comprehension prompted the initiation of this research, which aimed to investigate how reciprocal teaching groups could enhance extensive reading activities for students. This research conducted qualitative methods within a microethnography framework, the study engaged six junior high school students as participants. Data collection involved observations, interviews, and students' reflective journals to gather comprehensive insights. The results highlighted that implementing reciprocal teaching group strategies positively impacted students' motivation and comprehension levels during reading activities. Moreover, these strategies fostered a more interactive and independent learning atmosphere, addressing the monotony often associated with traditional reading sessions. By actively involving students in reciprocal teaching groups, they were able to deepen their understanding of the study materials more effectively. Thus, the findings suggest that integrating reciprocal teaching group strategies is a beneficial approach to enhancing students' learning outcomes in extensive reading. This research underscores the potential of collaborative learning methods in improving reading proficiency among secondary school students, offering insights into how educators can innovate teaching practices to better support students' language learning needs.

Spatial distribution and risk assessment of heavy metal pollution from enterprises in China

Heavy metal pollution (HMP) directly affects the safety of agricultural products, thereby impacting human health. Industrial emissions, as the main source of soil HMP in China, require in-depth research on their pollution risks. Based on national heavy metal (HM) enterprise data, this paper analyzes the spatial distribution characteristics of key enterprises involved in the HMP across the country. It constructs the risk assessment index system of enterprise HMP based on the “source-pathway-receptor” (SPR) process of the HMP, evaluates and partitions the risk of the HMP from enterprises nationwide. The results show that: (1) Enterprises and pollutant discharge outlets are mainly distributed in the eastern and southeastern coastal regions. Jiangxi, Yunnan, Guangdong, and Hunan Province are the main distribution regions of smelting enterprises, with the most types of HM pollutants. The hazard of pollution sources shows a spatial distribution pattern of higher risk in the southwest and north, and lower risk in the central region. Counties with high-risk pollution sources are mainly distributed in Yunnan, Hunan, Guangdong, Inner Mongolia, and Jiangxi Province. (2) The hazard of pollutant transmission pathways shows a spatial distribution pattern of higher risk in the southeast and lower risk in the central region. About 31.5 % of counties are at extremely high risk, mainly distributed in the southeastern coastal regions of Guangdong, Jiangsu, Zhejiang, Jiangxi, Shandong, and Fujian Province. (3) The vulnerability of the receptors shows significant clustering characteristics in the northeast and central regions. About 3.3 % of counties have a receptor vulnerability level of “extremely high,” mainly distributed in Inner Mongolia, Jilin, Heilongjiang, Liaoning Province in the northeast, as well as Hubei and Jiangsu Province. (4) About 1.55 % of counties nationwide have a comprehensive risk level of the HMP classified as “extremely high,” mainly distributed in Guangdong Province and Inner Mongolia. Additionally, some counties in Yunnan, Hunan, Jiangsu, Jiangxi, and Zhejiang Province have a risk of exceeding pollution standards, requiring further preventive measures to reduce pollution risks in the future. This paper can provide a scientific basis for the prevention and control (P&C) of the HMP in China.

"I won't ever feel normal": experience reported through photovoice by children with chronic kidney disease.

Much of the global chronic kidney disease burden is experienced in low- and middle-income countries. Children living with chronic kidney disease (CKD) face medical and social challenges, and they need support at the individual and family levels. This study aimed to explore children's experiences living with kidney replacement therapy (KRT) who attend the largest pediatric nephrology department in Guatemala. This qualitative study used photovoice and asked children to take pictures that represented what is like to live with CKD. Each child and their caregiver underwent an interview where the photos were used to elicit and facilitate discussion. The interviews were recorded, transcribed, and then analyzed using thematic analysis. Eight children and their mothers participated in the study. Three themes were identified: interactions with the health system, changing and difficult family dynamics, and strains on social interactions. Children face social challenges including self-isolation and alienation. The family dynamics and familial structures often are forced to change, inducing stress. This is all exacerbated by the difficulties that arise in navigating the Guatemalan health system. Photovoice techniques are a feasible way to understand the experiences of children and their families who face CKD. The disease affects all aspects of life and recognizing this while advising and administering care can help provide a comprehensive level of care. Health systems need to make efforts aimed at improving the quality of care as well as the multidisciplinary support available to children and their families.

Adaptation of the health literacy survey19-Europe-Q12 into Turkish culture: A psychometric study.

Misinformation can lead to adverse outcomes on the health beliefs and behaviors of individuals. Therefore, health literacy skills are needed as a central competency to recognize the trustfulness of health-related knowledge in any resources. To ensure this, a time-efficient, skill-oriented psychometric tools are needed to measure the comprehensive general health literacy level of communities. This research was conducted to evaluate the psychometric properties of the 12-item Health Literacy Survey-Europe (HLS19-Q12) regarding Turkish culture. A methodological design was adopted. The population consisted of adult individuals registered to two family health centers in Ankara. The sample was determined based on 5-10 times the number of scale items rule (ntotal = 192). A questionnaire and Health Literacy Survey-Europe-Q12 were used to collect data. Language, content and construct validities and internal consistency reliability tests were performed through IBM-SPSS 25.0 and AMOS 24.0 programs. The content validity was determined via the Davis technique. The construct validity was examined by exploratory (EFA) (n1 = 120) and confirmatory factor analysis (CFA) (n2 = 72). Internal consistency was evaluated using Cronbach's alpha coefficient. Time invariance was evaluated by test-retest method (nretest = 32) 4 weeks later. The mean age was 30.17 ± 10.37 (min. 18-max. 61). The Kaiser-Meyer Olkin test result was 0.898, and the Bartlett's Test of Sphericity result was 604.889 (p < 0.001). The model-fit indices showed good fit. The difference between the first and the second measurements was statistically insignificant (t = -1.659, p = 0.107). The Cronbach's alpha was 0.88. The HLS19-Q12-TR was a valid and reliable measurement tool in determining the health literacy level of the Turkish adult population. As one of the social determinants of health, easy measurement and generating a general health literacy map of the population is considered a necessity.

Relationship between perceived value, attitudes, and academic motivation in distance learning among nursing students in rural areas

BackgroundNursing students manifest a distinct level of intellect and comprehension, impacting their attitudes and perceived significance of distance learning in education. This study examined the attitudes, perceived value, and academic motivation surrounding distance learning among Jordanian nursing students, offering insights crucial to optimizing their educational journey.MethodsA descriptive cross-sectional design was used. A convenience sample of 298 undergraduate Jordanian nursing students was recruited from two public universities in rural cities in south Jordan. Data were collected via self-reported instruments (June 2022 to August 2022). A Pearson correlation and independent t-test were used to examine the relationship between variables.ResultsThe mean age of students was 20.9 years (SD = 1.16), and most students have a low perceived value of distance learning (n = 181, 60.7%). Most students (n = 179, 60.1%) have negative attitudes toward distance learning, and only 39.9% reflected positive attitudes. More than half of the participants (n = 166, 55.7%) reflected less academic motivation toward distance learning. Positive significant relationships were found between students’ perceived value of distance learning and their attitudes and academic motivation toward distance learning; low perceived value of distance learning was related significantly with low attitudes (r = 0.844, p < 0.01) and less academic motivation toward it (r = 0.721, p < 0.01).ConclusionNursing students’ perceived value, attitudes, and academic motivation toward DL in rural regions is inadequate. Educators must provide valuable visions to expand the quality of health education in rural universities and improve health care.

Automatic closed captions and subtitles in academic video presentations: possibilities and shortcomings

In light of the increasing number of academic events being recorded or held online since the onset of the COVID-19 pandemic, the present work combines automation processes in audiovisual translation and academic texts–more specifically, video presentations. The research questions are whether the automatic generation of captions is functional to ensure accessibility in academic events and how much post-editing effort would such content require in case a machine translation of the subtitles is to be applied. The research method comprises several phases. First, in a corpus of video presentations of specialised content in English, captions were generated automatically using YouTube Studio to ascertain the general quality and the type of errors generated in the automatically generated closed captions according to Multidimensional Quality Metrics (MQM) framework. These auto-generated captions were corrected and annotated by considering the following parameters: a) pre-editing time, b) type of error according to MQM framework, and c) severity of the error. Second, the auto-generated captions and corrected were machine translated into Spanish. Furthermore, errors detected in the machine translation of the subtitles (English-Spanish) were post-edited and errors were analysed following the MQM. Reception by a potential audience was also studied, as evaluated by academics from the same field of expertise. The main conclusion is that most errors in machine-translated subtitles stem from incorrect caption segmentation and lack of context awareness, making it essential to correct the closed captions before translation. This thesis is supported by the reception study in which the level of comprehension was higher when the transcription was pre-edited, as most of the problems arise from the closed captions rather than from the translation itself.

Research on the Impact Mechanism and Empirical Study of the Digital Economy on Rural Revitalization in the Yangtze River Economic Belt

As a new engine of China’s economic development, the digital economy is playing an important role in rural revitalization. Due to the impact of the novel coronavirus epidemic, there is a lack of recent empirical research on the digital economy and rural revitalization and development of the Yangtze River Economic Belt. Based on the provincial panel data of 11 provinces in the Yangtze River Economic Belt from 2014 to 2022, this paper calculates the comprehensive development level of the digital economy and rural revitalization and conducts a benchmark regression on their relationship. The results of the heterogeneity analysis show that the impact of the digital economy on rural revitalization in the upper and middle reaches of the Yangtze River is stronger than that in the lower reaches. Then we adopt the Moran index and spatial Durbin model for further regression analysis, and find that there is a spatial autocorrelation between the digital economy and rural revitalization. The digital economy of the Yangtze River Economic Belt has a spatial spillover effect on rural revitalization. To effectively harness the digital economy’s role in advancing rural revitalization, it is crucial to tailor resource allocation to local conditions, implement targeted policies, and establish a robust monitoring and evaluation system. This strategy aims to facilitate the seamless integration of the digital economy with rural revitalization, thereby achieving synergistic effects and promoting comprehensive, sustainable development in both economic and social dimensions.

Treatment burden in multimorbidity: an integrative review

BackgroundPeople living with multimorbidity experience increased treatment burden, which can result in poor health outcomes. Despite previous efforts to grasp the concept of treatment burden, the treatment burden of people living with multimorbidity has not been thoroughly explored, which may limit our understanding of treatment burden in this population. This study aimed to identify the components, contributing factors, and health outcomes of treatment burden in people with multiple diseases to develop an integrated map of treatment burden experienced by people living with multimorbidity. The second aim of this study is to identify the treatment burden instruments used to evaluate people living with multimorbidity and assess the comprehensiveness of the instruments.MethodsThis integrative review was conducted using the electronic databases MEDLINE, EMBASE, CINAHL, and reference lists of articles through May 2023. All empirical studies published in English were included if they explored treatment burden among adult people living with multimorbidity. Data extraction using a predetermined template was performed.ResultsThirty studies were included in this review. Treatment burden consisted of four healthcare tasks and the social, emotional, and financial impacts that these tasks imposed on people living with multimorbidity. The context of multimorbidity, individual’s circumstances, and how available internal and external resources affected treatment burden. We explored that an increase in treatment burden resulted in non-adherence to treatment, disease progression, poor health status and quality of life, and caregiver burden. Three instruments were used to measure treatment burden in living with multimorbidity. The levels of comprehensiveness of the instruments regarding healthcare tasks and impacts varied. However, none of the items addressed the healthcare task of ongoing prioritization of the tasks.ConclusionsWe developed an integrated map illustrating the relationships between treatment burden, the context of multimorbidity, people’s resources, and the health outcomes. None of the existing measures included an item asking about the ongoing process of setting priorities among the various healthcare tasks, which highlights the need for improved measures. Our findings provide a deeper understanding of treatment burden in multimorbidity, but more research for refinement is needed. Future studies are also needed to develop strategies to comprehensively capture both the healthcare tasks and impacts for people living with multimorbidity and to decrease treatment burden using a holistic approach to improve relevant outcomes.Trial registrationDOI: https://doi.org/10.17605/OSF.IO/UF46V

Improving Understanding of Data Processing Concepts through the TARL Approach (Teaching at the Right Level) in Class 5 Students of SD Muhammadiyah 23 Surakarta

This study aims to enhance the understanding of data processing concepts among fifth-grade students at SD Muhammadiyah 23 Surakarta through the Teaching at the Right Level (TaRL) approach. The research was conducted using a Classroom Action Research (CAR) methodology, which involved two cycles, each consisting of two meetings. The primary issue identified was the low level of students' comprehension of data processing concepts, such as data collection, classification, interpretation, and the use of diagrams and tables. To address this, an active and contextual learning approach was implemented, involving real-life data collection and analysis, the use of digital tools for data visualization, and Problem-Based Learning (PBL) strategies.In the first cycle, the intervention revealed limited improvement in student engagement and learning outcomes. Consequently, the second cycle introduced revised group formations and additional instructional strategies, including ice-breaking activities. The results showed a significant improvement in student participation and understanding, with an increase in average class scores from 65 in the first cycle to 81 in the second cycle. The percentage of students meeting the learning criteria rose from 14.28% to 82.14%. This study concludes that applying TaRL, along with improved group dynamics and interactive learning methods, effectively enhances students' data processing skills and overall learning outcomes.

Predicting the acceptance of e-government: a systematic review

PurposeThis study uses a systematic review to explore the potential causes of previous findings related to e-government acceptance research. By identifying the most frequently used, best, promising or worst factors that affect the acceptance of e-government, this research presents a research agenda for e-government researchers.Design/methodology/approachThrough conducting a systematic review following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) procedure, this research first selected 109 papers. Subsequently, this research analyzed the predictors and linkages of e-government acceptance by adopting a weight-analysis method proposed by Jeyaraj et al. (2006).FindingsThe results first revealed the five most frequently used predictors and five best predictors of e-government acceptance at a comprehensive level. Furthermore, this study summarized the best predictors affecting the acceptance of e-government from the perspectives of adopter types and e-government stages. The results also illustrated the promising and the worst predictors influencing e-government acceptance.Originality/valueThe contribution of this research is twofold. First, this study identified the linkages between e-government acceptance at the individual and organizational levels and between different e-government development stages. Second, this research provided a research direction that could offer useful insights for future e-government studies.

CONCEPT MAPS IN THE TEACHING OF SCIENCE: AN EXPERIMENTAL STUDY

Assessment and evaluation is one of the most important aspect of the teaching-learning process. Formative assessment plays a key role in evaluation the understanding of the students on regular basis. Concept maps is one such tool which can be used to evaluate the students. Hence keeping this in mind the study conducted focused on investigating the use of concept maps in the teaching of Science which is full of processes and complex concepts. The experimental study conducted on standard sixth students focussed on their ability to make concept maps to represent their understanding of the topics taught by the teacher in the classroom. These findings suggest the importance of using concept maps in teaching of Science to enhance students critical thinking, retention, interest, creativity and the comprehension level. The study emphasized the significance of concept map as a tool and its implications focussing on knowing the students perspectives, support holistic learning and support students discussion. KEY WORD: Science, Concept Maps, Evaluation

An Investigation of Cooperative Learning Strategies in Improving Students' Comprehension Skills in the Context of English as a Foreign Language (EFL)

The objective of this study was to enhance the reading comprehension abilities of EFL students by implementing cooperative learning strategies. The study aimed to address the following primary research question: What is the influence of cooperative learning on enhancing the reading comprehension skills of EFL students? The study included a total of 70 students from the first and second levels of the Department of English and Literature at the Ar Rass campus of Qassim University in Saudi Arabia. We conducted the study over a three-week period in two classes: the control group consisted of 35 female students (N = 35), while the experimental group also included 35 female students (N = 35). The experimental group received instruction through cooperative learning strategies, whereas the control group received instruction through a standard teacher-centered strategy. To address the fact-finding investigation of the study, we employed a pre- and post-test tool to assess reading comprehension skills. This test specifically aimed to identify the levels of literal and inferential comprehension. We employed the t-test to determine the statistical divergence between the average scores of the two groups. This study demonstrated the beneficial influence of cooperative learning approaches on the enhancement of reading comprehension skills among first- and second-level students in the Department of English and Literature. We strongly recommend cooperative learning practices to improve the reading skills of EFL learners.

Agricultural Water Use Efficiency - Economic Development - Ecological Environment in the Yangtze River Economic Belt Coordinated Development Study

This paper This paper takes 11 provinces and cities in China's Yangtze River Economic Belt as the research object, and analyzes them using the CRITIC-entropy weight combination weighting method, coupled coordination state and obstacle factors. It aims to explore how to promote the harmonious symbiosis between steady economic development and ecological environmental protection while guaranteeing the improvement of agricultural water use efficiency. The results show that the comprehensive development level of the system and its subsystems in the 11 provinces and cities of the Yangtze River Economic Belt has been steadily increasing, with a spatial pattern of &amp;ldquo;high in the west and low in the east&amp;rdquo;, and the coupling coordination degree has entered the stage of mild dysfunction from localized moderate dysfunction, and the agricultural water use efficiency is the main limiting factor affecting the coordinated development of the composite system of the Yangtze River Economic Belt.

Beyond terroir: a comparative analysis of Pinot Noir producers and business strategies in Burgundy, New Zealand and South Africa

PurposeThis paper aims to examine the convergence and divergence of business and production practices in the global wine industry, particularly focusing on Pinot Noir producers in Burgundy, New Zealand and South Africa (SA). This study explores the interplay between firm-specific factors and regional contexts to identify competitive advantage drivers among Pinot Noir producers.Design/methodology/approachThis research uses a comparative analysis approach, using data from a comprehensive winery level survey. This study applies methodologies akin to value chain analysis to unravel the configuration of productive and technology/knowledge creation activities within wineries across three regions.FindingsThis analysis reveals both convergence and divergence in business and production practices among Pinot Noir producers in Burgundy, New Zealand and South Africa. Although there is a degree of convergence in marketing, distribution and competition strategies, differences exist in production practices and firms’ capabilities. Burgundy emphasizes tradition and terroir expression, contrasting with the modernization and innovation focus observed in New Zealand and South Africa. However, all regions share a commitment to quality as a competitive advantage.Research limitations/implicationsThis study acknowledges limitations such as the focus on a specific grape variety and regions, the absence of performance impact analysis and the need for additional variables like environmental, institutional and cultural factors and consumer preferences to provide a comprehensive understanding of industry dynamics.Practical implicationsThe insights from this study offer practical implications for winemakers, industry stakeholders and policymakers. Producers can optimize production and marketing strategies based on regional contexts and market segments, whereas stakeholders can identify emerging trends and opportunities in the global wine market. Policymakers can develop targeted policies supporting innovation, sustainability and competitiveness.Originality/valueThis paper provides a unique contribution by conducting a comparative firm-level analysis across distinct wine-producing regions, shedding light on the nuanced interplay of factors shaping competitive advantage among Pinot Noir producers. This study’s comprehensive data set and methodological approach enhance understanding and offer valuable insights for industry stakeholders and policymakers.

Assessing ecological status using phytoplankton functional groups in three urban rivers in Hainan Island, China.

The urban rivers, including Changwang, Meishe, and Wuyuan in Haikou City, Hainan Island, are vital water sources for agricultural production and support industrial and domestic activities. Despite the rivers experiencing anthropogenic impacts, limited studies have assessed their water quality. Accordingly, this study assessed the phytoplankton community structure, utilized the river phytoplankton assemblage index (Qr index) to evaluate the ecological status, and compared its performance with the comprehensive trophic level index (TLI). Sample collection and microscopy analysis was conducted seasonally in 2019. Two hundred ninety-eight phytoplankton species belonging to 8 phyla were identified, predominated by Chlorophyta, Bacillariophyta, and Cyanophyta. The phytoplankton biomass ranged from 0.04 to 34.98mg L-1, with averages of 3.06 ± 0.71, 5.16 ± 1.92, and 2.70 ± 0.76mg L-1 in Changwang, Meishe, and Wuyuan, respectively. The phytoplankton biomass varied seasonally, recording the highest and lowest values in summer and autumn, respectively. The phytoplankton species were classified into 26 functional groups, which exhibited spatial and seasonal differences in their biomass and composition. The redundancy analysis (RDA) revealed that NH3-N, TP, CODMn, Chl-a, salinity, and temperature were the main environmental factors influencing phytoplankton functional groups. The average Qr index values in Changwang, Meishe, and Wuyuan were 3.39 ± 0.61, 3.44 ± 0.51, and 3.22 ± 0.67, and all the rivers were rated "good" in status. Seasonally, the Qr index and TLI revealed that the rivers' ecological condition was better in autumn and winter compared to spring and summer. Generally, the Qr index performed better, indicating that parameters such as NH3-N, CODMn, TP, and Chl-a decreased with improving ecological conditions from "poor" to "excellent" status. In addition, the Qr index exhibited a significant negative relationship with TLI, suggesting that low Qr index values may indicate increased eutrophication or deteriorated water quality. Thus, the ecological condition of the urban rivers could be adequately assessed using the Qr index to guide their water quality monitoring and management.

Диагностика сформированности смыслового чтения при работе учеников средней школы с учебными математическими текстами

Learning is working with a variety of educational texts based on reading, understanding, evaluating and interpreting information. To identify the result of reading an educational mathematical text and the quality of understanding the meaning of the text space created by educational materials, it is necessary to diagnose reading, namely, the level of semantic reading. In the modern study of reading, the PISA international monitoring, the concept of reading literacy, its components and levels are defined. The success of understanding more complex educational mathematical texts will depend on the level of reader literacy. If the levels of reading literacy have evaluation criteria and diagnostic apparatus, then how to assess the level of semantic reading? The article examines the relationship between the levels of reading literacy and text comprehension, models for assessing the semantic complexity of the text and semantic reading skills, various level structures for diagnosing the understanding of a mathematical educational text. Based on the studied scientific material, the complexity of the educational mathematical text &amp;quot;Triangle&amp;quot; was assessed according to criteria such as the number of words, simple words, scientific terms and their complexity, the number of mentions of scientific terms in each paragraph. Diagnostic material has also been created to check the understanding of this text, each task of which is aimed at determining the understanding of each information block and assessing the degree of development of semantic reading.

A dynamic framework for contractors to measure the performance of highway maintenance based on grey theory

Highway maintenance performance measurement is the key to implementing performance-based contracting (PBC). However, contractors have struggled with accurately understanding client intent and translating performance goals into measurable indicators. To make PBC successfully applied, this study proposes a dynamic performance measurement framework of highway routine maintenance based on grey theory. A performance indicator system is established based on the organizational structure of highway assets and the bill of quantities in the real world. In addition, a statistical analysis using the data about maintenance cost and highway condition score has been conducted to ascertain the weights and thresholds assigned to various indicators. As a result, the performance indicators, their corresponding weights, and thresholds can be flexibly adjusted to accommodate diverse periods and areas. Then, the grey theory has been employed to evaluate the comprehensive performance level of service within a region. This framework is experimented with using the data of three maintenance areas in Shaanxi Province, China: Qiaogouwan, Huaziping, and Ansai. At the end of the process, comparison and sensitivity analysis are conducted. The results demonstrate the model’s reasonability and robustness, providing valuable tools for contractors to assess the performance of highway maintenance in meeting client specifications.

‘That’s not what they said!' The impact of incongruities between the dialogue and intralingual subtitles on viewer experience

ABSTRACT Subtitling is often viewed as a vulnerable form of translation, subject to close scrutiny and criticism, especially by viewers who can readily assess its accuracy against the original dialogues. Today, an increasing number of viewers choose to watch audiovisual content with intralingual English-to-English subtitles although they can understand English and have no hearing impairment. In this study, we explore how such viewers, proficient in the language of the soundtrack, react towards slight incongruities between the original dialogues and the accompanying subtitles. Our participants comprised 160 individuals: 43 L1-English speakers from the UK and 52 from Australia, and 65 L1-Polish L2-English speakers. They viewed English-language videos with intralingual English subtitles, with and without incongruities, while we gauged their cognitive load, enjoyment, and comprehension. We found that incongruities led to a slightly higher cognitive load and reduced enjoyment, yet did not impact comprehension. Polish viewers did not report the highest cognitive load, nor did they exhibit the lowest levels of enjoyment or comprehension. These results and their implications are discussed within the landscape of current audiovisual translation practices.

Teacher Development Dilemma and Solution Ideas in Contemporary Chinese Rural Small-Scale Schools

Small rural schools are an important part of compulsory education and an inevitable form of rural education development. As urbanization accelerates, the movement of rural students to urban schools has led to a drastic reduction in the number and size of rural schools and a serious loss of quality teachers. Currently, rural teachers in China are facing problems such as disconnected interpersonal networks, weakened discourse power, and limited professional development. In order to promote the development of rural education, it is necessary to prioritize the professional development of teachers in small-scale rural schools, innovate the rural teacher training model, focus on the training of native and generalist teachers, and establish inter-school teaching and research teams to achieve the sharing of educational resources. Simultaneously, it is crucial to pay attention to the spiritual needs of rural teachers, enhance the professional identity of young teachers in small-scale rural schools, raise their comprehensive treatment level and reduce the burden of non-teaching tasks, so as to promote the professional development of teachers in small-scale rural schools.