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After the pandemic, research on Artificial Intelligence (AI) in the field of education has seen a significant increase globally. However, a few studies conducted before the pandemic addressed the problem of supporting intrinsic motivation in students, crucial for the quality of learning and knowledge retention. This study explores how this topic is covered in recent research, by conducting a cross-disciplinary literature review and critical discourse analysis under the theoretical framework of Activity Theory (AT). It aims to identify the coverage extension of all types of relationships between nodes in the educational activity system, with special attention to Subject (students) and Object, as this central relationship embodies the motive-driven nature of human activity. The analysis incorporated 69 articles from Scopus published from 2020 until now. The results demonstrate the coverage about only some relationships like: Subject-Tools (students' interaction with AI technology), Tools-Object (AI technologies development), and Tools-Community (adapting AI within an educational community). The Subject-Object relationship remains unexplored. Practical implications include refocusing on intrinsic motivation, emphasising epistemological needs, meaning, and choice. This involves evaluating the benefits and risks of AI in specific educational cases. Theoretical implications involve exploring how to sustain students' intrinsic motivation in the context of AI implementation.

Individual decision-making is often expressed through some combination of return or benefit within a context of risk assessment and assumption. Risk is generally defined as variability or chance of loss. Individuals are typically risk averse, where they require a greater benefit for each unit of risk in a decision. Students apply risk assessment when making financial decisions. This research models if risk aversion in making financial decisions extends to academic decisions. Prior literature discusses each decision category but does not adequately surmise correlation. In a survey of 671 university business students, the findings are that students approach risk differently between financial and academic decisions. In asking students if flipping a coin to decide patterns of paying money versus receiving money when risk is introduced, respondents are less willing to take financial risk when receiving money, but much less willing when paying money. When the question is structured to capture academic decisions, students are more willing to risk a lower grade in a class for higher reward longer-term, such as acquiring greater knowledge or improved employability.

In counselor education programs, students acquire clinical experience through both practicum and internship; this time frequently marks students' first counseling experiences working with suicide in a clinical context. Often, students in practicum or internship working with clients who may be experiencing suicidal ideations do not feel properly equipped to deal with suicide. This study aimed to develop a practice model for online counselor education programs that increases counseling students' self-efficacy to work with clients who may present with suicidal ideations. Sixty online graduate-level clinical mental health counseling students completed a pre- and posttest self-efficacy assessment. Findings showed that students' self-efficacy increased due to taking the online basic counseling skills class that included teaching activities related to suicide screening, assessment, and intervention.

This study explores undergraduate students' use of ChatGPT when writing essays. Three students were tasked with writing two essays each for a coursework component for a Cambridge qualification facilitated by access to ChatGPT. After writing the essays, they participated in semi-structured interviews about their experiences of using the technology. Researchers compared the transcript of the chatlog between the students and ChatGPT with the submitted essays. Analysis showed that the students relied on ChatGPT outputs to different extents, although they followed a similar process of engagement. The students shared their misgivings and points of appreciation for the technology.

This paper reviews cybersecurity laws and regulations in Cameroon, focusing on cybersecurity and information security audits and risk assessments. The importance of cybersecurity risk assessment and the implementation of security controls to cure deficiencies noted during risk assessments or audits is a critical step in developing cybersecurity resilience. Cameroon's cybersecurity legal framework provides for audits but does not explicitly enumerate controls. Consequently, integrating relevant controls from the NIST frameworks and ISO Standards can improve the cybersecurity posture in Cameroon while waiting for a comprehensive revision of the legal framework. NIST and ISO are internationally recognized as best practices in information security systems and cybersecurity risk management. This paper highlights the lack of specific international law provisions addressing cybersecurity audits and risk assessments. Overall, the paper highlights the importance of continuous risk assessment and monitoring, implementation of security controls, and compliance with organizational policies, relevant laws and regulations to ensure the adequate protection of information systems. Finally, the paper underscores the importance of improving Cameroon's cybersecurity regulations by integrating provisions from NIST and ISO.

In the United States and elsewhere, risk assessment algorithms are being used to help inform criminal justice decision-makers. A common intent is to forecast an offender's "future dangerousness." Such algorithms have been correctly criticized for potential unfairness, and there is an active cottage industry trying to make repairs. In this paper, we use counterfactual reasoning to consider the prospects for improved fairness when members of a disadvantaged class are treated by a risk algorithm as if they are members of an advantaged class. We combine a machine learning classifier trained in a novel manner with an optimal transport adjustment for the relevant joint probability distributions, which together provide a constructive response to claims of bias-in-bias-out. A key distinction is made between fairness claims that are empirically testable and fairness claims that are not. We then use confusion tables and conformal prediction sets to evaluate achieved fairness for estimated risk. Our data are a random sample of 300,000 offenders at their arraignments for a large metropolitan area in the United States during which decisions to release or detain are made. We show that substantial improvement in fairness can be achieved consistently with a Pareto improvement for legally protected classes.

Intelligence-led policing (ILP) was introduced in the 1990s as a proactive approach to policing, but to date, there is a lack of studies that have synthesized and summarized the central characteristics and insights of (quasi-)experimental studies related to ILP. This study aims to address this gap by synthesizing and characterizing the central characteristics of 38 quasi-experimental and experimental studies related to ILP. In this study, a scoping review is conducted on different quasi-experimental and experimental studies that relate to the framework of ILP. It was found that most studies within the domain of ILP focus on testing the crime reduction effects of using spatio-temporal crime intelligence to deploy police resources more efficiently and effectively. However, some studies have combined different types of crime intelligence or used solely offender-related intelligence. Several statistical-methodological challenges were also identified that should be considered when designing experimental research w

Background: The COVID-19 pandemic has had a substantial impact on children and families worldwide. Children's mental health has been at the forefront of pandemic research, with several observational studies documenting its decline. Limited person-centred research exists, however, investigating the diverse mental health responses of vulnerable children during COVID-19. Objective: The purpose of this study is to examine the profiles of 289 low-income children's mental health transitions from pre-COVID-19 to during COVID-19. Methods: Mothers' reports of children's mental health using the Strengths and Difficulties Questionnaire from before ([x-bar] = 2.73 years, SD = 0.23) and during ([x-bar] = 5.31 years, SD = 0.59) COVID-19 were used. Results: Three comparable profile solutions were identified pre- and early during the pandemic. Latent transition analysis revealed diverse patterns of children's mental health trajectory from prior to during COVID-19. Based on transition probabilities, the majority of children in the "Average Levels of Internalizing/Externalizing Problems" and "Externalizing Problems" profiles pre-pandemic showed stability in profile membership. Interestingly, most children in the high levels of "Internalizing/Externalizing Problems" profile pre-pandemic experienced some improvement in their mental health. Pre-pandemic maternal mental health and parenting had significant associations with children's profile membership at both time points. Conclusions: Our findings reveal the heterogeneity in children's mental health responses in times of large-scale crises. They also identify how pre-existing maternal risk factors may underlie the diverse experiences of children who underwent declining, stable, or improving mental health profiles during the COVID-19 pandemic.

The climate crisis encompasses a constellation of risks that threaten human livelihoods, well-being, and survival globally. In this article, we present a new framework based on bioecological and dynamic systems perspectives, and on evidence for conceptualizing how the distinctive dual time frame of both acute (e.g., extreme weather events) and chronic (e.g., ecological degradation) climate change-related risks experienced prenatally and early in life across multiple ecological contexts can threaten human development. We conclude with a call to developmental researchers, practitioners, and policymakers to invest more efforts in understanding and addressing the climate crisis and its developmental consequences to ensure a sustainable future for all.

Gender differences in item nonresponse are well-documented in high-stakes achievement tests, where female students are shown to omit more items than male students. These gender differences in item nonresponse are often linked to differential risk-taking strategies, with females being risk-averse and unwilling to guess on an item, even if it could gain them credits. In low-stakes settings, similar trends should not apply, as the students carry no consequence for their performance. Instead, test-taking motivation is argued to be the pivoting factor, with female students seen as more motivated and omitting fewer items than male students. In contrast to the high- and low-stakes achievement tests, less is known about gender differences in item nonresponse in student background questionnaires. Using cross-classified mixed effects models, we examined gender differences in item nonresponse on the Programme for International Student Assessment (PISA) 2018 student questionnaire across 80 countries and 71 scales. On average, the odds of male students omitting a questionnaire item were double the odds of female students, consistent with the expected trend in the low-stakes setting. However, we show that gender differences in item nonresponse are not merely a function of the stakes involved for individual students but a more complex phenomenon that is context-dependent and not necessarily stable across countries, scales' formats, and contents. We argue that examining differences in item nonresponse patterns could serve as a source of additional information about the students' test-taking behaviour and the quality of the questionnaire.

As computational methods are widely used in science disciplines, integrating computational thinking (CT) into classroom materials can create authentic science learning experiences for students. In this study, we classroom-tested a CT-integrated geoscience curriculum module designed for secondary students. The module consisted of three inquiry investigations that were age-appropriately translated from the computational practices of volcanologists who study tephra hazards and risks. We developed a domain-specific, block-code-based computational modeling environment where students carried out 1 of the 3 science practices in each inquiry investigation: experimentation, data visualization and interpretation, and modeling. We examined (1) student learning outcomes using pre- and post-tests and (2) student reflections on the computationally supported science practices surveyed at the end of each inquiry investigation during the module. Results indicate that students made statistically significant gains in science content as well as in computationally supported experimentation, data visualization and interpretation, and modeling practices. Over 80% of students identified different ways in which block coding supported their practices during inquiry investigations. Based on these findings, we discuss implications for the future development of computationally supported inquiry investigations in science.

This study investigated the factors associated with cyber dating abuse (CDA) among college students in South Korea. In order to shed light on this relatively understudied area concerning social and health issues, the study analyzed data from a convenience sample of 199 undergraduate students enrolled in a medium-sized Korean university. The findings showed that over the past 12 months, 52.5% of male and 51.4% of female students experienced CDA, while perpetration rates stood at 37.3% for males and 46.4% for females. Binomial logistic regression analyses revealed that students who had experienced partner abuse were more likely to be victims of CDA (IRR = 1.640; CI [1.108, 2.428]), as were those who had perpetrated physical or psychological abuse against their partners in person (IRR = 2.740; CI [1.456, 5.153]). Furthermore, users of online dating services were three times more likely to experience CDA than non-users (IRR = 3.008; CI [1.326, 6.822]). Perpetrating offline partner abuse (IRR = 3.572; CI [1.770, 7.210]) and using online support networks to resolve conflicts in romantic relationships (IRR = 2.734; CI [1.294, 5.778]) were significantly linked to CDA perpetration. These findings underscore the prevalence of CDA victimization and perpetration among college students in South Korea. Therefore, colleges and universities must implement effective prevention programs targeting cyber dating abuse or strengthen existing IPV prevention programs.

This study utilised the Early Growth and Development Study (N = 561 adoptive children; 57.2% male, 55.3% White), a study of children adopted at birth, to examine heritable (birth parent psychopathology) and prenatal risk (prenatal maternal distress and smoking during pregnancy), infant negative affectivity, adoptive parent over-reactivity and warmth as independent predictors of childhood externalising symptoms. The current study evaluated if: (1) infant negative affectivity and over-reactive parenting are candidate mediators for the effects of heritable and prenatal risk on externalising symptoms and (2) parental warmth weakens the influence of heritable risk, prenatal risk, negative affectivity and over-reactive parenting on externalising symptoms. There were main effects of heritable risk, infant negative affectivity and over-reactive parenting on child externalising symptoms. The study found no support for the hypothesised mediation and moderation effects, suggesting that targeting parental over-reactivity rather than warmth would be more effective in reducing the risk for childhood externalising symptoms.

Despite the surging anonymous social media use among adolescents living in non-Western countries, such as Turkey, existing studies have been conducted in a Western context and do not provide a holistic understanding of adolescents' lived experiences of anonymous social networking site (SNS) interactions. As a result, Turkish adolescents aged 12-15 years (N = 20) were interviewed about their lived experiences of anonymous SNS interactions, using a phenomenological qualitative approach. The authors identified 10 themes. Four themes address circumventing social norms and avoiding repercussions: mocking friends, seeking revenge, engaging in activism, and exploring and expressing self. Four themes pertain to initiating, developing, and testing relationships: exploring romantic relationships, testing friendships, seeking information about others, and gaining attention and/or popularity. Reflecting a major intrapersonal dynamic, another theme describes low self-confidence/esteem. The final theme addresses a significant risk associated with the anonymous use of SNSs: increased risk of child sexual exploitation. The results provide important insights into the roles of anonymous online interactions in satisfying adolescents' developmental needs and indicate the importance of providing them with support and education to help them navigate the online world safely and responsibly.

The American Chemical Society advocates a shift from rule-based to risk-based safety education for chemistry graduates, emphasizing meaningful student engagement in the risk assessment process for laboratory work. To implement this paradigm shift, we introduced RAMP (Recognize Hazards, Assess Risk, Minimize Risk, and Prevent Emergencies)-based safety instruction, fostering interactive and constructive student engagement, within an undergraduate organic chemistry lab course. We evaluated the impact of this RAMP-based safety education through prepost treatment quizzes and semistructured interviews. Students received training on RAMP principles and conducted risk assessments using an adapted Job Hazard Analysis format for their prelab quiz for each experiment throughout the semester. Our quantitative analysis of the pre- and post-treatment quizzes revealed statistically significant differences, with the experimental group showing improved cognitive outcomes, compared to the control group. Additionally, analysis of the semistructured interviews conducted to explore student perspectives on the RAMP-based safety instruction revealed the positive effects of the RAMP-based safety instruction on students' learning, supported by the quantitative findings. Students exhibited increased cognitive and behavioral engagement, reflecting the potential benefits of this approach.

Behavior threat assessment and management (BTAM) is a process for identifying students who pose a threat of violence. When BTAM results in a removal from school (e.g., suspension, expulsion, hospitalization), teams need to plan for the student's potential return. This article describes best practices for reintegrating a student into school following a threat. Without a thorough BTAM process, the actual severity of the threat may remain unclear and data-based decision making is not possible. The BTAM process must not impinge on any student's legal rights or protections afforded through the Individuals with Disabilities Act (IDEA) or Section 504 of the Rehabilitation Act of 1973. The staff must understand the diligent and careful process through which the BTAM team evaluates threats and how they determine the appropriateness of remaining in or returning to school. The safety measures and supports in place to protect all school community members must be emphasized. It is also important to specify under what circumstances staff members and families would be notified of an incident or threat. While reintegration decisions are complex, it is important to stay focused on data-driven decision making using BTAM best practices .

Background: People with intellectual disability frequently have eating, drinking and swallowing difficulties (dysphagia) and are at greater risk of premature mortality, particularly from aspiration and respiratory infections. The insertion of a percutaneous endoscopic gastrostomy (PEG), as part of a multidisciplinary management plan, may help to maintain and improve nutrition. This study included people with intellectual disability who had ever had a PEG inserted and who presented to the specialist Speech and Language Therapy team in one Greater Manchester borough between 2000 and 2022 and assessed the risk of death and sociodemographic and clinical factors associated with this. Methods: This was a cohort study using secondary data. Kaplan--Meier estimates were used to construct the probability of mortality curves. Cox proportional hazards were used to compare death rates in the different sociodemographic and clinical characteristic groups and were presented as hazard ratios and 95% confidence intervals. Findings: Of 42 people included in the study, 18 (43%) died from the point of PEG insertion to the end of the study (December 2022). The median (interquartile range) time to death from PEG insertion was 5 (2-10) years, with four people (10%) dying in the first year. Aspiration pneumonia and unspecified pneumonia were responsible for seven (39%) deaths. No significant associations were found between sociodemographic and clinical factors and risk of death. Conclusion: In persons with intellectual disability and a PEG who were followed up between 2000 and 2022, the mortality was around 40% with deaths occurring in the first year and respiratory conditions being an important cause. The lack of association with sociodemographic and clinical characteristics may have been due to a limited sample size. Further research is needed with larger samples and more variables, including quality of life data, to help understand and improve clinical practice in this area.

The rapid progression of science and technology has brought both remarkable conveniences and innovations and potential risks to us. To address these risks within science education, this study aims to identify the tendency of students' risk perceptions across different technologies. For this purpose, we developed a survey addressing three key components of risk perception (i.e., risk recognition, risk assessment, and risk management) and the educational need for risk education. 311 responses were collected from elementary, middle, and high school students and statically analyzed. The results indicated that students showed various risk perception patterns depending on the technology. There were significant perception gaps between boys and girls regarding vaccines and antimicrobial technology. It was also found that high school students' perceptions of the benefits of the technologies were higher than elementary and middle school students' perceptions. Based on these findings, we discuss pedagogical implications for risk education in science classrooms.

Over the last few decades, several definitions of dyslexia have centered on phonological awareness as the sole linguistic risk factor for developing dyslexia. Although difficulties with the acquisition and application of speech sounds can affect reading and spelling development, additional factors can as well and are included in other international definitions. Because additional specific linguistic risk factors can contribute to reading difficulties, they should all be included as part of a comprehensive dyslexia evaluation. In addition to phonological awareness, three additional linguistic risk factors include orthographic processing, rapid automatized naming (RAN), and working memory. Other possible correlates include processing speed and visual-verbal paired associate learning. Both the number of risk factors and the severity of weaknesses in these underlying linguistic risk factors increase the probability of dyslexia.

This case study looks both backwards and forwards at real and potential incidents and risks created by the use of various levels of self-driving vehicles. The case provides background on autonomous vehicle technology, the legal and risk management frameworks involved, and a variety of scenarios for students to consider. The scenarios provide the foundation for discussion of autonomous vehicle introductions and operations, as well as considerations for how other new technologies may be launched.

Accounting education has undergone significant changes over the past 20 years. A curriculum that focuses on GAAP principles and ledger-based accounting rules is being quickly replaced by technology. It is necessary to develop a curriculum that enables universities to prepare students with critical job skills for entry-level accounting positions where students can competently manage big data applications. This paper provides an academic case for classroom use to enable students to acquire those skills. The STARHunter case examines the workflows associated with the audit process and allows for transactions testing, risk assessment, and forensic evaluation. This case would typically be used in an upper-division course in auditing and could be easily adapted to other accounting courses.

Risk of bias (RoB) assessment is essential to the systematic review methodology. The new version of the Cochrane RoB tool for randomized trials (RoB 2) was published in 2019 to address limitations identified since the first version of the tool was published in 2008 and to increase the reliability of assessments. This study analyzed the frequency of usage of the RoB 2 and the adequacy of reporting the RoB 2 assessments in non-Cochrane reviews published in 2020. This meta-research study included non-Cochrane systematic reviews of interventions published in 2020. For the reviews that used the RoB 2 tool, we analyzed the reporting of the RoB 2 assessment. Among 3880 included reviews, the Cochrane RoB 1 tool was the most frequently used (N = 2228; 57.4%), followed by the Cochrane RoB 2 tool (N = 267; 6.9%). From 267 reviews that reported using the RoB 2 tool, 213 (79.8%) actually used it. In 26 (12.2%) reviews, erroneous statements were used to indicate the RoB 2 assessment. Only 20 (9.4%) reviews presented a complete RoB 2 assessment with a detailed table of answers to all signaling questions. The judgment of risk of bias by the RoB 2 tool was not justified by a comment in 158 (74.2%) reviews. Only in 33 (14.5%) of reviews the judgment in all domains was justified in the accompanying comment. In most reviews (81.7%), the RoB was inadequately assessed at the study level. In conclusion, the majority of non-Cochrane reviews published in 2020 still used the Cochrane RoB 1 tool. Many reviews used the RoB 2 tool inadequately. Further studies about the uptake and the use of the RoB 2 tool are needed.

Suicide remains a leading cause of death among adolescents and exists in detectable rates for younger children as well. Underserved ethnic and racial groups face barriers to effective mental health care, making it critical that school psychologists be prepared to incorporate cultural considerations for suicide prevention and intervention. School psychologists play a critical role in suicide prevention and are ethically responsible for maintaining current knowledge of the literature on prevention and intervention strategies for students at risk of suicide. This articles describes how culturally responsive suicide prevention and intervention includes developing an awareness of the disparities which exist in the communities school psychologists serve, engaging in self and systemic evaluations, developing awareness of different options for different populations, and committing to strategic improvements.

Assessment and management of youth suicide risk is a key role for school psychologists. However, prior research indicates that psychologists commonly lack confidence and feel unprepared when they graduated to conduct risk assessments. This qualitative study explored nine Victorian early-career school psychologists' role in risk assessment, and their self-perceived preparedness, self-efficacy, postgraduate training experiences and methods used to assess risk. Results identified that the frequency of student suicidal ideation and acute mental health presentations exceeded participants' expectations. Participants identified confidence in assessing risk, but less confidence in the follow-up actions. Participants reported employing comprehensive risk assessment practices and most received exposure to risk assessment during training. Key factors identified for building risk assessment preparedness and confidence were supervision, experience, professional development and research. As participants identified core risk assessment competencies that may require further coverage in curricula, these findings have important implications for universities to maximise graduates' risk assessment preparedness.

Internet-of-Things (IoT) research has primarily focused on identifying IoT devices' organizational risks with little attention to consumer perceptions about IoT device risks. The purpose of this study is to understand consumer risk perceptions for personal IoT devices and translate these perceptions into guidance for future research directions. We conduct a sequential, mixed-methods study using multi-panel Delphi and thematic analysis techniques to understand consumer risk perceptions. The results identify four themes focused on data exposure and user experiences within IoT devices. Our thematic analysis also identified several emerging risks associated with the evolution of IoT device functionality and its potential positioning as a resource for malicious actors to conduct security attacks.

Nearly half the adult population in developing nations lacks a formal bank account and other financial services. Ghana is no exception, having a massive community of unbanked adults and among those countries positioned at the bottom of the spectrum of financial inclusion. The advent of mobile financial services (MFS) claims an alternative mode to financial inclusion. MFS, fundamentally implemented using SMS and USSD code, essentially encompasses mobile wallets, cash out, and over-the-counter transactions overgrowing globally, has a vast potential to minimize impediments to financial inclusion. However, mobile financial services' sustainability is threatened by cybercriminals or fraudsters while reaching a global penetration rate of 91% in 2020, and this figure keeps growing by 3% yearly. This qualitative exploratory study aimed to explore security methods cybersecurity managers needs to implement to minimize cyber fraud of mobile financial services in Ghana. The research purports to identify viable methods leaders of MFS operators need to implement to reduce fraudsters' threats. The exploratory design was used as the lens to explore this phenomenon in-depth. A sample size of seven and 12 semi-structured interview questions were used as a data collection instrument. Lack of proper security methods and internal control processes were identified as the major causes of cyber fraud in MFS. Seven databases (Web of Science, ProQuest, ABI, EBSCO, IEEE, Sage, Google Scholar, Pub/Med, and Scopus) were searched using standard and adapted search syntax. The study also provided recommendations on the ecosystem and the processes needed to utilize mobile technology's full potential.

Student Evaluation of Teaching surveys (SETs) are used at universities to inform teaching practice and subject design. However, there is increasing concern about the impact of allegations, abuse, and discrimination in survey open text components. Here we discuss the implementation of an automated screening mechanism using a combination of dictionary and machine learning approaches. We present both a process diagram detailing how the screening is performed, as well as a form of categorisation for comments that are unacceptable or indicate a potential risk of harm. Examples of real comments in each of these categories are presented to demonstrate the depth of the challenge and potential cause for concern. Ultimately, we argue that student and educator wellbeing are inextricably connected and exposing staff to abusive and discriminatory comments causes harm. Furthermore, SETs are an important channel for students to raise concerns about their own wellbeing and potentially unsafe experiences in the learning environment.

In the context of primary education, students aged 11-12 years old begin to integrate digital devices and online behaviours that are more common and widespread at the secondary level. The objective of this study is to understand the factors that determine the initial digital ecosystem of students, and to evaluate the risks that these students face at a certain threshold age. The 356 participants in the sample completed a questionnaire designed ad hoc based on the findings of other studies with the same aim. The identified correlations and the regression equations obtained indicate, fundamentally, that two out of every three students who own a smartphone use it to communicate with family and friends. Furthermore, the use of mobile phones encourages young people to join and participate in social networks at an early age. The study also reveals that at this age, students use social networks mainly for the consumption of audiovisual content and not so much to share personal information of a critical nature. Finally, students in this particular age group are considered at a threshold age because they begin using smartphones regularly, making autonomous decisions without sufficient supervision regarding digital risks, thus becoming part of the Frontier Collective.

This paper examines the historical and current contexts of threat assessment and violence risk in higher education, highlighting the evolving roles of college counseling centers in the threat assessment process for students displaying signs of concerning behaviors. Given research showing many college mental health professionals feel under-prepared for this work, we build foundational knowledge about the differing purposes of psychological evaluations and threat assessments, and provide recommendations for ways to continue to build and demonstrate understanding, competency and proficiency with threat assessments… Our review shares recent updates in the field regarding high-risk groups and the use of AI in assessment, and highlights the need for more attention to be given to training community members as well as counseling center staff and other members of campus teams involved in decision-making about students who threaten violence. We recommend the deliberate practice model of skill building to better prepare college mental health professionals when needing to respond under stress and pressure.

Entrepreneurship education is critical in encouraging students' innovation, creativity, and entrepreneurial spirit. It provides essential skills and knowledge, enabling them to open their creative potential and apply innovative thinking across diverse professional fields. With the widespread application of large language models in education, intelligent-assisted teaching in entrepreneurship education is stepping into a new learning phase anytime and anywhere. Entrepreneurship education extends across interdisciplinary knowledge fields, incorporating subjects like finance and risk management, which require advanced mathematical computational skills. This complexity presents new challenges for artificial-intelligence-assisted question-and-answer models. The study explores how students can maximize the knowledge repository of current large language models to improve learning efficiency and experimentally validates the performance differences between large language models and graph convolutional reasoning models regarding the complex semantic reasoning and mathematical computational demands in entrepreneurship education questions. Based on case studies, it is found that despite the broad prospects of large language models in entrepreneurship education, they still need to improve in practical applications. Especially in tasks within entrepreneurship education that demand precision, such as mathematical computations and risk assessment, the accuracy and efficiency of existing models still need improvement. Therefore, further exploration into algorithm optimization, model fusion, and other technical enhancements can improve the processing capabilities of intelligent question-and-answer systems for specific domain issues, aiming to meet the practical needs of entrepreneurship education.

Research often finds persons with a disability, persons who are transgender non-conforming (TGNC), or who are sexual minorities experience increased victimization risk. Less research has examined how these identities intersect to impact victimization risk. Thus, our study adds to the literature by examining how these identities intersect to influence risk of violent, sexual, and intimate partner violence (IPV) victimization among a national-level sample of college students. In doing so, we explore the interactions between having any disability and being TGNC and being a sexual minority on victimization risk. In addition, specific disability types are explored for their potential interactive effects. Findings show increased risk of sexual victimization and IPV victimization among those who identify as TGNC and have a disability. Specific disability types, speech and mobility, interacted with gender identity to impact risk. Our findings suggest the need for universities to implement inclusive and culturally competent prevention and intervention efforts.

Intimate partner violence (IPV) among college students is a significant problem that negatively affects their physical and emotional health. This study aimed at examining risk factors, especially childhood adversities at the individual, relationship, and community levels, of IPV perpetration among college students. Methods: The sample from seven universities in the U.S. and Canada (N = 3,725) completed an online survey. Major variables included IPV perpetration, five types of childhood adversities, alcohol and drug use, depression, and demographic information. Logistic regression was performed. Results: Peer violence victimization, witnessing parental IPV, experiencing child maltreatment, drug use, and depression were associated with a higher odd of perpetrating IPV. Conclusions: Research and practice must account for exposure to multiple risk factors when intervening with college students. An integrative approach that combines trauma-informed interventions with substance use and mental health treatment may be most successful at IPV perpetration prevention and intervention among college students.

Objectives: Nationally, community colleges provide academic instruction to 5.6 million students annually. However, sexual health services, are often lacking. This pilot study was developed to assess the feasibility of implementing screening for sexually transmitted infections in community college settings in New York City where approximately 86,075 students attend classes. Methods: We recruited and trained an interdisciplinary group of graduate students (public health, nursing, and post-baccalaureate/pre-med) to provide sexual health risk assessments, screening for sexually transmitted infections, and linkages to care at three community college campuses in New York City. Results: Over a three-year period (2017-2019), 545 students were screened for STIs and 7.2% were positive for Chlamydia. Conclusions: Community college students are at high risk for sexually transmitted infections yet have limited access to sexual health services. Coordinated partnerships between state and local departments of health, public health schools, and an academic medical center demonstrate an important model which can fill identified gaps for this vulnerable population.

School inspections are a common feature of many education systems. These may be informed by quantitative background data about schools. It is recognised that there are pros and cons of using such quantitative information as part of the inspection process, though these have rarely been succinctly set out. This paper seeks to fill this gap by presenting arguments both for and against the use of quantitative data in informing school inspections. We argue that while quantitative data provide objective information about important outcomes, their usefulness is limited somewhat by a range of factors including missing data, small sample sizes, the creation of perverse incentives, and the fact that most readily available measures capture aspects other than school quality. We conclude by discussing how the Office for Standards in Education, Children's Services and Skills (Ofsted) -- the school inspectorate in England -- currently makes the trade-off between these pros and cons.

Objective: Although numerous reports document college students' risk-taking behaviors, few examine these behaviors in a developmental context. The purpose of this study was to examine female freshmen college students' pre-college experiences and parenting influences on first semester experiences with alcohol misuse, sexual risk-taking, and adverse outcomes, including violence. Methods: We surveyed 229 female freshman residential college students at the end of their first semester in college. Results: Participants who drank frequently in high school were more likely to binge drink in college and regret doing something while drinking. Mother-daughter closeness and parental discussions of sexual risks, personal safety and danger avoidance were associated with a reduced likelihood of regretting doing something while drinking, experiencing sexual violence, and having sex without a condom. Parental provision of alcohol was associated with alcohol misuse. Conclusion: These findings provide a life course perspective on the development of risk behaviors and adverse outcomes during emerging adulthood.

This article develops an index to measure the level of susceptibility of courses to cheating using ChatGPT (Chat Generative Pre-trained Transformer), an advanced text-based artificial intelligence (AI) language model. It demonstrates the application of the index to a sample of business courses in a mid-sized university. The study finds that the vulnerability index varies across disciplines and teaching modalities. As advanced language models become more common in academic settings and create new educational challenges, the study provides an intuitive and practical mechanism for instructors and academic units to measure and assess the vulnerability of their courses to various language-based predictive models.

The contemporary landscape of dread in living and teaching demands a creative and experimental form of investigation that can trace the affective contours of the present and uncover the obscure openings for an oppositional imagination. In a series of interlinked excurses, this essay articulates a poetic probing of the nexus of slow fascism and capitalist realism in the contemporary United States, as this is lived in the waking dreams of pedagogy and imaginative praxis. Looking beyond familiar analyses, this project exposes the terror of loss that motivates the punishments visited upon school and society by elites and points to the spectral presence of justice, which lives with us as persistent horizon even as it is persistently refused by power. Interleaved with these unravelings of the texture of experience as domination, this project gestures toward a thinking and teaching that is wise to capitalism's recurrent fantasies. This pedagogy inverts the certainties that organize our senses of knowledge and curriculum, navigates the hidden topology of the real (beyond the reflexive affirmation in schools of "what is"), and proposes an unruly form of thought that moves out past the walls that sign the edge of the classroom and the edge of the truth. This project does not announce a settled approach but rather challenges the limits of the familiar at the level of our structures of feeling. We feel the terror of the given in the present, but we can also follow the seam of experience toward the point at which its impositions are attached--in spite of themselves--to the confounding/liberatory logic of the "impossible."

Purpose: This research aims to identify the intentions behind becoming an entrepreneur and the perception of entrepreneurial failure among different groups of students. There has been significant research discussing the motivations behind becoming an entrepreneur. However, such a research study is often focused on individuals who are already in the entrepreneurial process. Therefore, this research focuses on the understanding of the entrepreneurial process specified on the intentions of becoming an entrepreneur and the associated risk, in the context of a learning process. Design/methodology/approach: The perspectives of students towards becoming an entrepreneur and their perception of associated risk are identified. A comparative exploratory case study method is used. Three cases developed in the light of empirical evidence consist of Business, Law and Science, technology, engineering and mathematics (STEM) students. Findings: Major results show that the law and STEM students were on the same line in terms of motivational factors, such as being career driven. In contrary, the business students were more driven by personal factors such as leaving something behind and building something meaningful. Originality/value: Whilst studies have attempted to understand entrepreneurial intentions, little work has considered students and their views on becoming entrepreneurs. Even with studies that looked at this subject matter, the focus was mainly business students. The authors build on previous work and construct the authors' views based on multi-disciplinary student base to know more about their intentions to become an entrepreneur. The science and law students were more influenced by external factors, whereas business students were focused more on their personal goals. Such classification of the diverse intentions based on student discipline opens a new and promising research avenue to better develop entrepreneurial education not only for business students but across all disciplines in higher education.

The Child Focused Injury Risk Screening Tool (ChildFIRST) aims to measure movement competence and lower-limb-injury risk in 8-12-year-old children. Although the ChildFIRST has face and content validity evidence, stronger validity evidence is warranted. We tested the concurrent validity of the ChildFIRST using motion analysis, and the convergent validity of the ChildFIRST using the modified Star Excursion Balance Test (mSEBT) and the Test of Gross Motor Development 3 (TGMD-3). We computed correlation coefficients (0.05 alpha level). We evaluated 17 participants. We observed positive correlation values between 18 ChildFIRST evaluation criteria and peak joint angles in the frontal and sagittal planes. One movement skill (i.e. leaping) presented a negative correlation value. We observed positive correlation values between the ChildFIRST and TGMD-3 and between the ChildFIRST and the mSEBT. Nine out of ten movement skills in the ChildFIRST are valid to assess movement competence and identify risk factors associated with lower-limb musculoskeletal injuries.

Objective: The George Washington University (GW) in Washington, D.C., USA established the Public Health Laboratory and Campus COVID-19 Support Team (CCST) to develop and implement its SARS-CoV-2 surveillance testing and outbreak response for the 2020-2021 academic year. Participants and Methods: Approximately 4,000 GW members had access to campus for living accommodations, limited in-person instruction, athletics, research, and university operations. The outbreak response included daily risk assessment surveys, weekly surveillance testing, symptomatic and voluntary testing, case investigation, and contact tracing. Results: Between August 17 - November 24, 2020, 42,350 SARS-CoV-2 PCR tests were performed, and 194 (0.46%) of tests were positive. Surveillance testing identified 59 (30.4%); voluntary testing 97 (50%); and symptomatic testing 30 (15.5%) of the cases, respectively. Conclusions: Robust testing of asymptomatic people and rapid isolation and quarantine of members who are exposed or infected effectively limited the spread of SARS-CoV-2 during the Fall 2020 semester.

Although the use of the cluster randomized trial (CRT) design to evaluate vaccines, public health interventions or health systems is increasing, the ethical issues posed by the design are not adequately addressed, especially in low- and middle-income country settings (LMICs). To help reveal ethical challenges, qualitative interviews were conducted with key stakeholders experienced in designing and conducting two selected CRTs in Malawi. The 18 interviewed stakeholders included investigators, clinicians, nurses, data management personnel and community workers who were invited to share their experiences related to implementation of CRTs. Data analysis revealed five major themes with ethical implications: (1) The moral obligation for health care providers to participate in health research and its compensation; (2) Suboptimal care services compromising the integrity of CRT; (3) Ensuring scientific validity and withholding care service; (4) Obtaining valid consent and permission for waiver of consent; and (5) Inadequate risk assessment for trial participation. Understanding key ethical issues posed by CRTs in Malawi could improve ethical review and research oversight of this particular study design.

Despite evidence for the academic and psychological benefits of racial/ethnic minority (REM) students enrolling in minority-serving institutions, REM college students' graduation rates have been consistently lower for White students across institutions. The current study examined REM graduation rates and associated risk factors in a campus with no-racial/ethnic majority (NRM). The findings indicated that (1) the graduation rates of REM (Black and Latinx) students were higher at the NRM institution than national averages, with little disparity in NRM graduation rates among racial/ethnic groups, (2) REM female students graduated at higher rates than Asian and White male students, and (3) self-reported stress and registration status predicted college completion. Moreover, traditional predictors, such as household income, gender, and parental education, were not associated with college completion. A separate analysis of graduation rates at colleges high versus low in racial/ethnic diversity also revealed little graduation disparity among racial/ethnic groups when diversity is relatively high. The results support the hypothesis that REM students thrive academically in educational settings where no single racial majority exists.