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Low-stakes assessments in secondary and further education schools: A systematic literature review 中学和继续教育学校的低风险评估:系统的文献综述
Pub Date : 2026-01-11 DOI: 10.1016/j.ssaho.2025.102320
Joseph Arhavbarien
The school system uses assessments as a means of grading students. However, there have been limited studies that show the extent to which this has been evidenced in the literature. The purpose of this review is to investigate the literature on how low-stakes assessments support students for better exam outcomes. This study will provide educators and practitioners with well-researched resources that can be accessed to demonstrate the relevance of low-stakes assessments towards overall student exam outcomes in achieving quality education. The design for this systematic literature review is based on bibliometric and content analysis of peer-reviewed papers. This systematic literature review investigates evidence from the literature by examining 23 peer-reviewed articles focused on low-stakes assessments in secondary and further education schools, drawn from 20 journals with contributing authors from countries on 4 continents of the world. The results from this study show that a correlation exists between students' low-stakes test-taking efforts and exam outcomes. However, it should be mentioned that the results of this study do not capture all aspects of low-stakes assessment due to the limited number of peer-reviewed articles examined. Also, the inclusion criteria did not include the impact of low-stakes assessment in a broader sense to include all tiers of learning. Hence, future studies should consider more tiers of learning and incorporate more studies with valid and reliable evidence. The findings from this study will inform lesson planning and curriculum development, thereby equipping teachers with empirically tested evidence for the use of low-stakes assessments during lessons.
学校系统使用评估作为给学生评分的一种手段。然而,有有限的研究表明这在多大程度上已经在文献中得到了证明。本综述的目的是调查低风险评估如何支持学生取得更好的考试成绩的文献。本研究将为教育工作者和从业者提供经过充分研究的资源,以证明低风险评估与学生整体考试成绩在实现优质教育中的相关性。本系统文献综述的设计是基于文献计量学和同行评议论文的内容分析。本系统文献综述通过检查23篇同行评议的文章来调查文献中的证据,这些文章集中在中学和继续教育学校的低风险评估上,这些文章来自世界四大洲20个期刊,作者来自各国。本研究的结果表明,学生的低风险考试努力与考试成绩之间存在相关性。然而,应该提到的是,由于审查的同行评议文章数量有限,本研究的结果并没有涵盖低风险评估的所有方面。此外,纳入标准没有包括低风险评估的影响,在更广泛的意义上,包括所有层次的学习。因此,未来的研究应该考虑更多的学习层次,并纳入更多有有效可靠证据的研究。本研究的结果将为课程规划和课程开发提供信息,从而为教师在课程中使用低风险评估提供经实证检验的证据。
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引用次数: 0
The relationship between workplace ostracism and counterproductive knowledge behavior: An integrative literature review using transaction model of stress and coping 职场排斥与反生产知识行为的关系:基于压力与应对交易模型的综合文献综述
Pub Date : 2026-01-07 DOI: 10.1016/j.ssaho.2025.102391
Surumi Muhammad , Devi Soumyaja , Sowmya C.S. , Arathi Krishna
This study aims to provide an integrated theoretical framework that explains the relationship between workplace ostracism and counterproductive knowledge behavior (CKB) by systematically organizing existing mediators and moderators within the Transactional Model of Stress and Coping. A systematic search was conducted using databases including Web of Science, Scopus, Science Direct, and Google Scholar to identify relevant empirical studies. An integrated literature review of 20 empirical articles was undertaken, focusing on the mechanisms and boundary conditions that shape the workplace ostracism–CKB link. The review reveals that employees perceive workplace ostracism as a significant threat to their overall well-being. Personal and situational factors act as moderators that influence how individuals appraise ostracism and select coping strategies. These coping processes, activated in response to perceived threat, often manifest as counterproductive knowledge behaviors. The findings underscore the interplay between appraisal stages, coping resources, and behavioral outcomes.
本研究旨在通过系统梳理压力与应对交易模型中现有的中介和调节因子,为解释职场排斥与反生产知识行为(CKB)之间的关系提供一个完整的理论框架。利用Web of Science、Scopus、Science Direct、谷歌Scholar等数据库进行系统检索,找出相关实证研究。对20篇实证文章进行了综合文献综述,重点关注形成工作场所排斥- ckb联系的机制和边界条件。调查显示,员工认为工作场所的排斥是对他们整体幸福感的重大威胁。个人因素和情境因素作为调节因子影响个体如何评估排斥和选择应对策略。这些应对过程是对感知到的威胁的反应,通常表现为适得其反的知识行为。研究结果强调了评估阶段、应对资源和行为结果之间的相互作用。
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引用次数: 0
AI writing tools in English writing: Reviewing teachers' and students’ views on benefits and concerns 英语写作中的人工智能写作工具:回顾教师和学生对利益和关注点的看法
Pub Date : 2026-01-07 DOI: 10.1016/j.ssaho.2026.102437
Firoz Akanda , Tasnia Talukder
The present narrative review synthesizes the teachers' and learners' positive and negative perspectives regarding the use of AI tools in English writing within EFL/ESL contexts. The methodology follows an inclusion-exclusion criterion with a PRISMA flow diagram. A total of 28 peer-reviewed studies published between 2020 and 2025 were included from the SCOPUS/Web of Science (27) and Google Scholar (1) databases. For deductive thematic analysis, a combined framework consisting of Technological Pedagogical Content Knowledge (TPACK), Self-Regulated Learning (SLR), and Vygotsky's scaffolding theory is utilized as lenses. This study predefines ten positive themes as well as two negative themes. In the findings section, the study narrates the themes, like the pedagogical benefits of AI tools, including enhanced feedback, goal-setting, and student motivation, along with challenges such as over-reliance on AI and ethical concerns.
本文综合了教师和学习者对人工智能工具在EFL/ESL环境下的英语写作中的使用的积极和消极观点。该方法遵循包含-排除标准和PRISMA流程图。SCOPUS/Web of Science(27)和谷歌Scholar(1)数据库共收录了2020年至2025年间发表的28篇同行评议研究。在演绎主题分析中,以技术教学内容知识(TPACK)、自我调节学习(SLR)和维果茨基的脚手架理论组成的组合框架为透镜。本研究预设了十个积极主题和两个消极主题。在调查结果部分,该研究阐述了一些主题,比如人工智能工具在教学上的好处,包括增强反馈、目标设定和学生动机,以及过度依赖人工智能和道德问题等挑战。
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引用次数: 0
From branding to belonging: How employer image and social identity shape organizational attractiveness 从品牌到归属感:雇主形象和社会认同如何塑造组织吸引力
Pub Date : 2026-01-06 DOI: 10.1016/j.ssaho.2025.102429
Tran Thi Siem, Ho Thi Thao Nguyen, Do Hong My, Anh Tho To, Thai Kim Phong, Truong Thi Thuy Van
This study examines the impacts of employer brand and organizational identification on employer image, enhancing organizational attractiveness. Additionally, the moderating effect of consciousness on social identity is investigated in the transmission of employer image to organizational attractiveness. In the modern job market, where Generation Y and Generation Z dominate, organizations face increasing pressure to stand out as desirable employers. Through Signaling Theory and Social Identity Theory, this research examines how organizations convey their organizational identity, employer brand, and employer image to attract potential candidates. Social identity consciousness is introduced as a key moderating variable that influences how candidates perceive and respond to these organizational signals. The article employs bibliometric techniques and quantitative analysis methods, utilizing SmartPLS 4 software. The findings underscore the importance of organizations considering candidates' social identity consciousness when developing their identity and values to attract top talent. This research offers insight into how organizations can effectively manage their image and brand to enhance their attractiveness in a competitive employment context.
本研究探讨雇主品牌与组织认同对雇主形象、提升组织吸引力的影响。此外,在雇主形象向组织吸引力的传递过程中,还考察了意识对社会认同的调节作用。在现代就业市场上,Y世代和Z世代占主导地位,企业面临越来越大的压力,要成为令人满意的雇主。通过信号理论和社会认同理论,本研究探讨了组织如何传达其组织身份、雇主品牌和雇主形象来吸引潜在的候选人。社会身份意识被引入作为一个关键的调节变量,影响候选人如何感知和回应这些组织信号。本文采用文献计量学技术和定量分析方法,利用SmartPLS 4软件。研究结果强调了组织在发展候选人的身份和价值观以吸引顶尖人才时考虑候选人社会身份意识的重要性。这项研究提供了洞察组织如何有效地管理他们的形象和品牌,以提高他们在竞争激烈的就业环境中的吸引力。
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引用次数: 0
Development of an AI literacy self-assessment questionnaire in upper primary school students 小学高年级学生人工智能素养自评问卷的编制
Pub Date : 2026-01-06 DOI: 10.1016/j.ssaho.2025.102424
Kawin Thianwan , Sanit Srikoon
This study presents the development and validation of the AI Literacy Self-Assessment Questionnaire (AIL-SAQ) for upper primary school students. The instrument, based on established AI literacy frameworks, measures three dimensions: Learning About AI, Learning About How AI Works, and Learning for Life with AI. Study 1 (n = 335) employed Exploratory Factor Analysis to explore a three-factor structure. Study 2 (n = 579) used Confirmatory Factor Analysis, revealing excellent model fit (χ2 = 105.066, df = 87, p = .091, CFI = .994, TLI = .993, RMSEA = .019, SRMR = .022) and high internal consistency (Cronbach's α = .934). Standardized factor loadings (.638–.774) and variance (R2 = .407–.599) further support the AIL-SAQ's validity and reliability.
本研究提出一套小学高年级学生人工智能素养自我评估问卷(AIL-SAQ)。该工具基于已建立的人工智能扫盲框架,测量三个维度:了解人工智能、了解人工智能如何工作和用人工智能学习生活。研究1 (n = 335)采用探索性因子分析探讨三因素结构。研究2 (n = 579)采用验证性因子分析,模型拟合良好(χ2 = 105.066, df = 87, p = 0.091, CFI = 0.994, TLI = 0.993, RMSEA = 0.019, SRMR = 0.022),内部一致性高(Cronbach's α = 0.934)。标准化因子负荷(.638 - .774)和方差(R2 = .407 -。599)进一步支持了AIL-SAQ的效度和信度。
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引用次数: 0
Analyzing fair skin preference in Indian society: A case study on matrimonial advertisements using web mining and text analytics 分析印度社会对白皙皮肤的偏好:基于网络挖掘和文本分析的婚姻广告案例研究
Pub Date : 2026-01-06 DOI: 10.1016/j.ssaho.2025.102407
Ankit Gupta , Tanishq Chamoli , Sonam Garg
Marriage remains a critical as well as sacred institution in India, with arranged marriages continuing as a dominant practice. Newspapers, with a readership exceeding 425 million, serve as a primary medium for matrimonial advertisements and thus provide an effective data source for analyzing social preferences. One recurring attribute in these advertisements is the emphasis on fair skin, historically associated with caste, class, and socio-economic advantage. Despite globalization and technological change, this preference persists, often reinforced by media and market dynamics. This paper presents a computational analysis of matrimonial advertisements collected from 30 newspapers in multiple Indian languages over the period 2010–2024. A web-scraper was designed to construct a structured database of advertisements, followed by query-based text analytics for extracting and categorizing skin-colour references. A pseudo-code description of the framework is provided to detail the methodological workflow. Temporal frequency distributions and keyword analyses were generated to examine longitudinal trends in the expression of skin-color preference. The results indicate a consistent and significant bias toward fair skin descriptors throughout the study period, with limited evidence of decline despite broader sociocultural shifts. The findings highlight how entrenched cultural norms, amplified by market influences, continue to govern partner selection criteria in India. This study demonstrates the value of applying large-scale text analytics to traditional print media for uncovering persistent socio-cultural patterns.
在印度,婚姻仍然是一种重要而神圣的制度,包办婚姻仍然是一种占主导地位的做法。报纸读者超过4.25亿,是婚姻广告的主要媒介,为分析社会偏好提供了有效的数据来源。这些广告中反复出现的一个特点是强调白皙的皮肤,在历史上与种姓、阶级和社会经济优势联系在一起。尽管全球化和技术变化,这种偏好仍然存在,而且往往因媒体和市场动态而加强。本文对2010年至2024年期间从30家印度多种语言报纸上收集的婚姻广告进行了计算分析。设计了一个web scraper来构建一个结构化的广告数据库,然后使用基于查询的文本分析来提取和分类肤色参考。提供了框架的伪代码描述,以详细说明方法学工作流程。产生时间频率分布和关键词分析,以检查肤色偏好表达的纵向趋势。结果表明,在整个研究期间,人们对白皙皮肤的偏好是一致且显著的,尽管社会文化发生了广泛的转变,但这种偏好下降的证据有限。研究结果突出表明,根深蒂固的文化规范(再加上市场影响)继续支配着印度的合作伙伴选择标准。这项研究证明了将大规模文本分析应用于传统印刷媒体以揭示持久的社会文化模式的价值。
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引用次数: 0
Topic modelling and thematic analysis of research gaps and methodological innovations in rural sociology: A systematic review 农村社会学的主题建模与专题分析:研究缺口与方法创新的系统回顾
Pub Date : 2026-01-06 DOI: 10.1016/j.ssaho.2025.102354
Muhammad Rizwan Hussain , Omar Hannoun , Sándor Kovács , Szabolcs Mátyás , Szabolcs Orbán , György Norbert Szabados
Rural sociology, shaped by enduring global forces such as globalisation, sustainability, and community resilience, continues to evolve as these themes remain central to understanding rural life. This study systematically reviews research from 2016 to 2024, employing bibliometric tools, topic modelling, and thematic analysis to assess current trends, influential works, and emerging themes in the field. Results indicate a significant reliance on case study methods, with Social Case Studies with Policy Implications showing an 82 % dominance. Meanwhile, Urban & Rural Comparative Studies reveal a growing adoption of machine learning methodologies (67 %), indicating an increasing integration of advanced analytical techniques. The use of case studies remained consistently high, ranging from 60 % to 85 % annually, while machine learning and regression techniques have shown a notable increase after 2020, reaching 15 % by 2024. This shift suggests a gradual adaptation to technological advances and improved data availability. International collaboration is also increasing, with 29.13 % of documents featuring co-authorships from multiple countries, though significant geographic disparities persist. The conclusions emphasise the importance of inclusive research practices, expanded mixed methods approaches, and greater attention to underrepresented regions. This study provides a foundation for future research by identifying existing methodological gaps and encouraging more diverse research collaborations to effectively address the complex dynamics of rural sociology.
在全球化、可持续性和社区复原力等持久的全球力量的影响下,农村社会学继续发展,因为这些主题仍然是理解农村生活的核心。本研究系统回顾了2016年至2024年的研究,采用文献计量工具、主题建模和主题分析来评估该领域的当前趋势、有影响力的作品和新兴主题。结果表明对案例研究方法的显著依赖,具有政策含义的社会案例研究显示82%的主导地位。与此同时,城市和农村比较研究显示,越来越多的人采用机器学习方法(67%),这表明先进的分析技术正在不断整合。案例研究的使用率一直很高,每年从60%到85%不等,而机器学习和回归技术在2020年之后显示出显著的增长,到2024年达到15%。这种转变表明了对技术进步的逐渐适应和数据可用性的改善。国际合作也在增加,尽管显著的地理差异仍然存在,但有29.13%的文献具有来自多个国家的共同作者。这些结论强调了包容性研究实践、扩展混合方法方法以及更多关注代表性不足地区的重要性。本研究通过识别现有的方法差距,鼓励更多不同的研究合作,以有效地解决农村社会学的复杂动态,为未来的研究奠定基础。
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引用次数: 0
Enhancing governance and performance in Nigerian higher education through AI-driven digital transformation: Insights from stakeholder perspectives 通过人工智能驱动的数字化转型加强尼日利亚高等教育的治理和绩效:来自利益相关者视角的见解
Pub Date : 2026-01-06 DOI: 10.1016/j.ssaho.2025.102348
Ifeoma Loretto Nnaji , Musa Adekunle Ayanwale , Ikechukwu Ogeze Ukeje , Raphael Abumchukwu Ekwunife , Collins Moses Igwe , Emmanuel Onyekachi Okwor , Chidi Iroko Nwuzor
Digital transformation is critical for strengthening governance and improving performance in Nigeria's higher education institutions (HEIs). However, persistent gaps in digital skills, infrastructure, and policy implementation continue to hinder progress. This study investigates these challenges and examines how AI-enabled digital tools can enhance governance, institutional effectiveness, and sustainable education management (SEM). Using a qualitative research design, the study drew on interviews with 21 key stakeholders including university administrators, ICT personnel, policymakers, and student leaders supplemented by documentary and policy analysis. Data were analyzed using interpretative phenomenological analysis and thematic procedures to capture lived experiences and institutional practices related to digital transformation. Findings reveal four dominant issues: inadequate digital literacy among staff, weak governance implementation structures, limited readiness for AI adoption, and significant infrastructural deficits. While participants acknowledged the potential of AI to improve administrative efficiency, decision-making, and academic processes, they also raised concerns about job displacement, ethical risks, and regulatory gaps. To address these challenges, the study proposes the AI-Driven Staff Training Modules and Performance Appraisal (AI-STMsPA) framework, designed to strengthen staff digital skills, promote transparent HR processes, and support sustainable higher education governance. Overall, the study demonstrates that effective digital transformation in Nigerian HEIs requires coordinated interventions that integrate capacity building, ethical AI governance, infrastructure development, and inclusive policy implementation. These insights contribute to achieving Sustainable Development Goals (SDGs) 4, 8, 9, and 16 by promoting quality education, decent work, innovation, and strong institutions.
数字化转型对于加强尼日利亚高等教育机构的治理和提高绩效至关重要。然而,在数字技能、基础设施和政策实施方面的持续差距继续阻碍着进步。本研究调查了这些挑战,并探讨了人工智能支持的数字工具如何增强治理、机构有效性和可持续教育管理(SEM)。本研究采用定性研究设计,对包括大学管理人员、信息通信技术人员、政策制定者和学生领袖在内的21位关键利益相关者进行了访谈,并辅以文献和政策分析。使用解释性现象学分析和专题程序分析数据,以捕捉与数字化转型相关的生活经验和制度实践。调查结果揭示了四个主要问题:员工的数字素养不足、治理实施结构薄弱、采用人工智能的准备程度有限以及基础设施严重不足。虽然与会者承认人工智能在提高行政效率、决策和学术进程方面的潜力,但他们也提出了对工作岗位流失、道德风险和监管空白的担忧。为了应对这些挑战,该研究提出了人工智能驱动的员工培训模块和绩效评估(AI-STMsPA)框架,旨在加强员工的数字技能,促进透明的人力资源流程,并支持可持续的高等教育治理。总体而言,该研究表明,尼日利亚高等教育机构的有效数字化转型需要协调一致的干预措施,包括能力建设、道德人工智能治理、基础设施发展和包容性政策实施。这些见解有助于通过促进优质教育、体面工作、创新和强大的机构来实现可持续发展目标4、8、9和16。
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引用次数: 0
Assessing the effectiveness of eco-labels on consumer purchase intentions in the food and beverage industry: A PLS-SEM approach 评估消费者在食品和饮料行业购买意愿的生态标签的有效性:PLS-SEM方法
Pub Date : 2026-01-06 DOI: 10.1016/j.ssaho.2025.102422
Md. Sohel Rana , Shadia Sharmin , Mohammad Bin Amin , Nur-A-Alam Mishad , Judit Oláh
The study investigates the impacts of eco-labels in influencing consumer purchase intentions in the food and beverage industry through the Partial Least Squares Structural Equation Modeling (PLS-SEM) framework. Based on the Theory of Planned Behavior (TPB), the Stimulus-Organism-Response (S-O-R) model, and the Value-Attitude-Behavior (VAB) model, the study focused on the role of eco-label awareness, eco-label credibility, environmental concern, and perceived product value in consumer behavior and the moderating role of attitudes toward eco-labeled products. The structural model shows empirical findings that eco-label awareness, eco-label credibility, environmental concern, and perceived product value have a significant positive influence on purchase intentions. The theoretical implications of the findings confirmed that emotional and attitudinal constructs improve the predictive validity of earlier classical theories of behavior, such as TPB, and justify the use of interaction terms in studies of sustainable behavior. In practice, this study highlights the paramount need for transparency, trust, and educating consumers to maximize the efficiency of eco-labels. This helps both in the knowledge base and viable marketing plans, stressing the revolutionary powers of the credible eco-labels in the concept of environmentally conscious consumption.
本研究透过偏最小二乘结构方程模型(PLS-SEM)框架,探讨生态标签对食品饮料行业消费者购买意愿的影响。基于计划行为理论(TPB)、刺激-有机体-反应(S-O-R)模型和价值-态度-行为(VAB)模型,研究生态标签意识、生态标签可信度、环境关注和感知产品价值在消费者行为中的作用,以及对生态标签产品态度的调节作用。结构模型的实证结果显示,生态标签意识、生态标签可信度、环境关注和感知产品价值对购买意愿有显著的正向影响。研究结果的理论意义证实,情绪和态度结构提高了早期经典行为理论(如TPB)的预测有效性,并证明了在可持续行为研究中使用相互作用术语的合理性。在实践中,本研究强调了透明度,信任和教育消费者最大化生态标签效率的首要需求。这有助于知识基础和可行的营销计划,强调可信的生态标签在环保意识消费概念中的革命性力量。
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引用次数: 0
Civic duty or cultural erasure? Navigating social markers of acceptance for Asian immigrants in Australia 公民义务还是文化抹除?了解澳大利亚接受亚洲移民的社会标志
Pub Date : 2026-01-06 DOI: 10.1016/j.ssaho.2025.102395
Nguyen Ly Trong Tin
Despite Australia's celebration of diversity, the integration of Asian immigrants remains structurally precarious. This paper critically examines the gap between policy rhetoric and lived reality, arguing that the prevailing framework conflates necessary normative-civic duties (e.g., rule of law) with implicit cultural assimilation, thereby enforcing Anglo-Celtic norms as hidden prerequisites for belonging. By synthesizing the Social Markers of Acceptance (SMA) framework with Gramsci's hegemony and Bourdieu's cultural capital, we analyze how integration criteria are constructed and policed. Our analysis reveals a “double bind”: while “achieved” markers like language proficiency are theoretically attainable, they are frequently elevated to impossible standards of cultural mimicry. Concurrently, “ascribed” markers (race) function as dynamic gatekeepers, rendering Asian inclusion conditional upon economic utility rather than identity indispensability. To resolve this tension, the study proposes a paradigm shift from “precarious multiculturalism” toward “systemic inclusion,” urging a clear distinction between essential civic compliance and the coercive displacement of cultural heritage.
尽管澳大利亚崇尚多样性,但亚洲移民的融合在结构上仍然不稳定。本文批判性地考察了政策修辞与生活现实之间的差距,认为主流框架将必要的规范-公民义务(例如,法治)与隐性文化同化混为一谈,从而强制执行盎格鲁-凯尔特规范,作为归属感的隐藏先决条件。通过将社会接受标记(SMA)框架与葛兰西的霸权主义和布迪厄的文化资本相结合,我们分析了整合标准是如何构建和管理的。我们的分析揭示了一种“双重束缚”:虽然语言能力等“已达到”的指标在理论上是可以达到的,但它们往往被提升到不可能达到的文化模仿标准。与此同时,“归属”标记(种族)起着动态看门人的作用,使亚洲人的融入以经济效用为条件,而不是身份不可或缺。为了解决这种紧张关系,该研究提出了一种范式转变,从“不稳定的多元文化主义”转向“系统性包容”,敦促明确区分必要的公民服从和强制取代文化遗产。
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引用次数: 0
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