Is AI Changing the Rules of Academic Misconduct? An In-depth Look at Students' Perceptions of 'AI-giarism'

This pioneering study explores students' perceptions of AI-giarism, an emergent form of academic dishonesty involving AI and plagiarism, within the higher education context. A survey, undertaken by 393 undergraduate and postgraduate students from a variety of disciplines, investigated their perceptions of diverse AI-giarism scenarios. The findings portray a complex landscape of understanding, with clear disapproval for direct AI content generation, yet more ambivalent attitudes towards subtler uses of AI. The study introduces a novel instrument, as an initial conceptualization of AI-giarism, offering a significant tool for educators and policy-makers. This scale facilitates understanding and discussions around AI-related academic misconduct, aiding in pedagogical design and assessment in an era of AI integration. Moreover, it challenges traditional definitions of academic misconduct, emphasizing the need to adapt in response to evolving AI technology. Despite limitations, such as the rapidly changing nature of AI and the use of convenience sampling, the study provides pivotal insights for academia, policy-making, and the broader integration of AI technology in education

Assessment for Experiential Learning

Chan’s book explores the challenges in assessing experiential learning, deepens our understanding, and inspires readers to think critically about the purpose of assessment in experiential learning. Experiential learning has been studied and proven to be effective for student learning, particularly for the development of holistic competencies (i.e. 21st century skills, soft skills, transferable skills) considered essential for individuals to succeed in the increasingly global and technology-infused 21st century society. Universities around the world are now actively organising experiential learning activities or programmes for students to gain enriching and diversified learning experiences, however the assessment of these programmes tends to be limited, unclear, and contested. Assessment plays a central role in education policies and students’ approach to learning. But do educators know how to assess less traditional learning such as service learning, entrepreneurship, cross-discipline or cross-cultural projects, internships and student exchanges? While the current assessment landscape is replete with assessments that measure knowledge of core content areas such as mathematics, law, languages, science and social studies, there is a lack of assessments and research that focus on holistic competencies. How do we assess students’ ability to think critically, problem solve, adapt, self-manage and collaborate? Central to the discussion in this book, is the reason students are assessed and how they should be assessed to bring out their best learning outcomes.　Offering a collection of best assessment practice employed by teachers around the world, this volume brings together both theoretical and empirical research that underpins assessment; and perceptions of different stakeholders – understanding of assessment in experiential learning from students, teachers, and policymakers. The idea of assessment literacy also plays an important role in experiential learning, for example, reflection is often used in assessing students in experiential learning but how reflection literate are educators, are they aware of the ethical dilemmas that arise in assessing students? These questions are discussed in detail. The volume also introduces a quality assurance programme to recognise student development within experiential learning programmes. The book will be particularly informative to academic developers, teachers, students and community partners who struggle with the development and assessment for experiential learning, those who plan to apply for funding in experiential learning, and policymakers and senior managements seeking evidence and advice on fine-tuning curricular, assessment designs and quality assurance

Assessment for Experiential Learning

Chan’s book explores the challenges in assessing experiential learning, deepens our understanding, and inspires readers to think critically about the purpose of assessment in experiential learning. Experiential learning has been studied and proven to be effective for student learning, particularly for the development of holistic competencies (i.e. 21st century skills, soft skills, transferable skills) considered essential for individuals to succeed in the increasingly global and technology-infused 21st century society. Universities around the world are now actively organising experiential learning activities or programmes for students to gain enriching and diversified learning experiences, however the assessment of these programmes tends to be limited, unclear, and contested. Assessment plays a central role in education policies and students’ approach to learning. But do educators know how to assess less traditional learning such as service learning, entrepreneurship, cross-discipline or cross-cultural projects, internships and student exchanges? While the current assessment landscape is replete with assessments that measure knowledge of core content areas such as mathematics, law, languages, science and social studies, there is a lack of assessments and research that focus on holistic competencies. How do we assess students’ ability to think critically, problem solve, adapt, self-manage and collaborate? Central to the discussion in this book, is the reason students are assessed and how they should be assessed to bring out their best learning outcomes.　Offering a collection of best assessment practice employed by teachers around the world, this volume brings together both theoretical and empirical research that underpins assessment; and perceptions of different stakeholders – understanding of assessment in experiential learning from students, teachers, and policymakers. The idea of assessment literacy also plays an important role in experiential learning, for example, reflection is often used in assessing students in experiential learning but how reflection literate are educators, are they aware of the ethical dilemmas that arise in assessing students? These questions are discussed in detail. The volume also introduces a quality assurance programme to recognise student development within experiential learning programmes. The book will be particularly informative to academic developers, teachers, students and community partners who struggle with the development and assessment for experiential learning, those who plan to apply for funding in experiential learning, and policymakers and senior managements seeking evidence and advice on fine-tuning curricular, assessment designs and quality assurance

Deconstructing Student Perceptions of Generative AI (GenAI) through an Expectancy Value Theory (EVT)-based Instrument

This study examines the relationship between student perceptions and their intention to use generative AI in higher education. Drawing on Expectancy-Value Theory (EVT), a questionnaire was developed to measure students' knowledge of generative AI, perceived value, and perceived cost. A sample of 405 students participated in the study, and confirmatory factor analysis was used to validate the constructs. The results indicate a strong positive correlation between perceived value and intention to use generative AI, and a weak negative correlation between perceived cost and intention to use. As we continue to explore the implications of generative AI in education and other domains, it is crucial to carefully consider the potential long-term consequences and the ethical dilemmas that may arise from widespread adoption

The AI Revolution in Education: Will AI Replace or Assist Teachers in Higher Education?

This paper explores the potential of artificial intelligence (AI) in higher education, specifically its capacity to replace or assist human teachers. By reviewing relevant literature and analysing survey data from students and teachers, the study provides a comprehensive perspective on the future role of educators in the face of advancing AI technologies. Findings suggest that although some believe AI may eventually replace teachers, the majority of participants argue that human teachers possess unique qualities, such as critical thinking, creativity, and emotions, which make them irreplaceable. The study also emphasizes the importance of social-emotional competencies developed through human interactions, which AI technologies cannot currently replicate. The research proposes that teachers can effectively integrate AI to enhance teaching and learning without viewing it as a replacement. To do so, teachers need to understand how AI can work well with teachers and students while avoiding potential pitfalls, develop AI literacy, and address practical issues such as data protection, ethics, and privacy. The study reveals that students value and respect human teachers, even as AI becomes more prevalent in education. The study also introduces a roadmap for students, teachers, and universities. This roadmap serves as a valuable guide for refining teaching skills, fostering personal connections, and designing curriculums that effectively balance the strengths of human educators with AI technologies. The future of education lies in the synergy between human teachers and AI. By understanding and refining their unique qualities, teachers, students, and universities can effectively navigate the integration of AI, ensuring a well-rounded and impactful learning experience

Antimicrobial resistance among migrants in Europe: a systematic review and meta-analysis

BACKGROUND: Rates of antimicrobial resistance (AMR) are rising globally and there is concern that increased migration is contributing to the burden of antibiotic resistance in Europe. However, the effect of migration on the burden of AMR in Europe has not yet been comprehensively examined. Therefore, we did a systematic review and meta-analysis to identify and synthesise data for AMR carriage or infection in migrants to Europe to examine differences in patterns of AMR across migrant groups and in different settings. METHODS: For this systematic review and meta-analysis, we searched MEDLINE, Embase, PubMed, and Scopus with no language restrictions from Jan 1, 2000, to Jan 18, 2017, for primary data from observational studies reporting antibacterial resistance in common bacterial pathogens among migrants to 21 European Union-15 and European Economic Area countries. To be eligible for inclusion, studies had to report data on carriage or infection with laboratory-confirmed antibiotic-resistant organisms in migrant populations. We extracted data from eligible studies and assessed quality using piloted, standardised forms. We did not examine drug resistance in tuberculosis and excluded articles solely reporting on this parameter. We also excluded articles in which migrant status was determined by ethnicity, country of birth of participants' parents, or was not defined, and articles in which data were not disaggregated by migrant status. Outcomes were carriage of or infection with antibiotic-resistant organisms. We used random-effects models to calculate the pooled prevalence of each outcome. The study protocol is registered with PROSPERO, number CRD42016043681. FINDINGS: We identified 2274 articles, of which 23 observational studies reporting on antibiotic resistance in 2319 migrants were included. The pooled prevalence of any AMR carriage or AMR infection in migrants was 25·4% (95% CI 19·1-31·8; I2 =98%), including meticillin-resistant Staphylococcus aureus (7·8%, 4·8-10·7; I2 =92%) and antibiotic-resistant Gram-negative bacteria (27·2%, 17·6-36·8; I2 =94%). The pooled prevalence of any AMR carriage or infection was higher in refugees and asylum seekers (33·0%, 18·3-47·6; I2 =98%) than in other migrant groups (6·6%, 1·8-11·3; I2 =92%). The pooled prevalence of antibiotic-resistant organisms was slightly higher in high-migrant community settings (33·1%, 11·1-55·1; I2 =96%) than in migrants in hospitals (24·3%, 16·1-32·6; I2 =98%). We did not find evidence of high rates of transmission of AMR from migrant to host populations. INTERPRETATION: Migrants are exposed to conditions favouring the emergence of drug resistance during transit and in host countries in Europe. Increased antibiotic resistance among refugees and asylum seekers and in high-migrant community settings (such as refugee camps and detention facilities) highlights the need for improved living conditions, access to health care, and initiatives to facilitate detection of and appropriate high-quality treatment for antibiotic-resistant infections during transit and in host countries. Protocols for the prevention and control of infection and for antibiotic surveillance need to be integrated in all aspects of health care, which should be accessible for all migrant groups, and should target determinants of AMR before, during, and after migration. FUNDING: UK National Institute for Health Research Imperial Biomedical Research Centre, Imperial College Healthcare Charity, the Wellcome Trust, and UK National Institute for Health Research Health Protection Research Unit in Healthcare-associated Infections and Antimictobial Resistance at Imperial College London

Surgical site infection after gastrointestinal surgery in high-income, middle-income, and low-income countries: a prospective, international, multicentre cohort study

Background: Surgical site infection (SSI) is one of the most common infections associated with health care, but its importance as a global health priority is not fully understood. We quantified the burden of SSI after gastrointestinal surgery in countries in all parts of the world. Methods: This international, prospective, multicentre cohort study included consecutive patients undergoing elective or emergency gastrointestinal resection within 2-week time periods at any health-care facility in any country. Countries with participating centres were stratified into high-income, middle-income, and low-income groups according to the UN's Human Development Index (HDI). Data variables from the GlobalSurg 1 study and other studies that have been found to affect the likelihood of SSI were entered into risk adjustment models. The primary outcome measure was the 30-day SSI incidence (defined by US Centers for Disease Control and Prevention criteria for superficial and deep incisional SSI). Relationships with explanatory variables were examined using Bayesian multilevel logistic regression models. This trial is registered with ClinicalTrials.gov, number NCT02662231. Findings: Between Jan 4, 2016, and July 31, 2016, 13 265 records were submitted for analysis. 12 539 patients from 343 hospitals in 66 countries were included. 7339 (58·5%) patient were from high-HDI countries (193 hospitals in 30 countries), 3918 (31·2%) patients were from middle-HDI countries (82 hospitals in 18 countries), and 1282 (10·2%) patients were from low-HDI countries (68 hospitals in 18 countries). In total, 1538 (12·3%) patients had SSI within 30 days of surgery. The incidence of SSI varied between countries with high (691 [9·4%] of 7339 patients), middle (549 [14·0%] of 3918 patients), and low (298 [23·2%] of 1282) HDI (p < 0·001). The highest SSI incidence in each HDI group was after dirty surgery (102 [17·8%] of 574 patients in high-HDI countries; 74 [31·4%] of 236 patients in middle-HDI countries; 72 [39·8%] of 181 patients in low-HDI countries). Following risk factor adjustment, patients in low-HDI countries were at greatest risk of SSI (adjusted odds ratio 1·60, 95% credible interval 1·05–2·37; p=0·030). 132 (21·6%) of 610 patients with an SSI and a microbiology culture result had an infection that was resistant to the prophylactic antibiotic used. Resistant infections were detected in 49 (16·6%) of 295 patients in high-HDI countries, in 37 (19·8%) of 187 patients in middle-HDI countries, and in 46 (35·9%) of 128 patients in low-HDI countries (p < 0·001). Interpretation: Countries with a low HDI carry a disproportionately greater burden of SSI than countries with a middle or high HDI and might have higher rates of antibiotic resistance. In view of WHO recommendations on SSI prevention that highlight the absence of high-quality interventional research, urgent, pragmatic, randomised trials based in LMICs are needed to assess measures aiming to reduce this preventable complication

Robust estimation of bacterial cell count from optical density

Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals &lt;1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data

3-dimensional solder paste inspection using Structured Light techniques

THESIS 7191Re-modelling of three-dimensional solder paste constructed from optical profilometry has gathered ever-increasing attention in different inspection and process control sectors of the electronics Printed Circuit Board manufacturing industry. It has been shown that 50% to 80% of the solder defects encountered are usually a direct consequence of variations in the quality of board printing. Since the amount and shape of solder paste on pad affects primarily the quality of joints, a highly accurate control system is necessary to correct process drift before the value- adding process in the form of integrated circuits and microprocessor chips has been added to the board. The process control systems commercially available today are either low-cost equipment which operate on a statistical basis, and have certain degree of limitations on the inspection of the system, or are based on laser scan technologies which are exceptionally expensive. In the existing market for solder paste inspection equipment, systems must be capable of achieving inspection rates in real-time, delivering area, height, and volume of solder paste deposits. In order to attain zero defects, every paste deposit on the board should be monitored. The aim of this work is to investigate the feasibility of a low cost, non-contact, high-speed, online system for the inspection of low attitude objects such as Surface Mount Technology (SMT) component solder-joints