BRIDGING THE GAP: EFFECTS OF DUAL CREDIT COLLEGE ALGEBRA ON POSTSECONDARY EDUCATION OUTCOMES

The contraction of the blue-collar economy is slowly rendering the high school diploma obsolete as an entry-level requirement for middle class employability. Over the last 40 years, jobs requiring some sort of postsecondary education or post-high school credential increased from 28% to 62%, while lower-skilled jobs, traditionally filled by high school graduates or those without a high school diploma, decreased from 72% to 38%. As automation slowly replaces the blue-collar workforce, it is critical that our educational system provides all students the necessary tools to successfully complete a postsecondary degree or credential. This study examined two groups of graduating high school seniors and longitudinally followed their postsecondary progress and completion. One group was comprised of students who had taken dual credit college algebra their senior year and the second group consisted of students who had not taken dual credit college algebra at any time during high school. Because enrollment in dual credit college algebra at most postsecondary institutions required a math ACT subscore of 22 or higher, each group was further divided into two subgroups consisting of students with a junior ACT math subscore \u3c 22 and students with a junior ACT math subscore ≥ 22. Propensity score matching was used to match dual credit college algebra takers with their similar non-participating peers using student senior academic year, gender, race & ethnicity, free/reduced lunch status, school Title 1 status, school census size, final high school GPA, and English and math ACT subscores as covariates. Propensity score matching was followed by linear regression analysis examining the relationship between dual credit college algebra taking and postsecondary enrollment immediately following graduation, first year postsecondary persistence and GPA, time to degree, credential and degree completion and attainment of a STEM or math/technology competency degree. The results of this study showed significant gains for the \u3c 22 ACT math group in postsecondary enrollment, first year GPA, time to degree, and bachelor degree completion. The results for students in the ≥ 22 math ACT group showed significant gains in postsecondary enrollment and time to degree. Based on the results of this study, implications for educational practice are twofold. First, secondary and postsecondary institutions should work together to increase the support and opportunities for underprepared students to participate in rigorous dual credit coursework, including dual credit mathematics courses. Secondly, high stakes placement exams and ACT/SAT benchmarks need to be replaced with multiple measures instruments measure more than just content assimilation for dual credit college algebra. This study was limited by the absence of a randomly chosen control group, a lack of standardization in data collection and missing postsecondary data from private and out of state postsecondary institutions. It is hoped that this study inspires further research on dual credit college algebra on its effect on postsecondary outcomes. A qualitative study investigating student motivation, academic confidence, self-efficacy and other affective variables would help to better identify the positive effects of dual credit course taking on underprepared students, which in turn could encourage improved dual credit programming

The Design of a Digital Behaviour Change Intervention for Third-Level Student Illicit Substance Use: A Persona Building Approach

Illicit substance use among third-level students is an issue of increasing concern. Digital behavioural change interventions have been developed to target this population, but reports of their effectiveness are mixed. The importance of end-user involvement in digital intervention development has been well established, but it appears that many interventions in this area did not engage end-users during development. This absence may have affected engagement, undermining their potential effectiveness. This paper describes the process and contributions of a persona-building approach in the development of a digital behaviour change intervention tailored to the needs of third-level students. Nine exploratory persona-building workshops were carried out with 31 students, and 7 project team members to develop personas for heavy, occasional and non-substance using third-level students. Early analysis has identified five archetypes which will contribute to the design of an acceptable and user-friendly intervention, and to the identification of targeted behavioural change techniques

Changing the Wheels on a Moving Car: Leveraging a Content Management System to Develop an Extensible Digital Intervention

Drug use among higher education students is a pertinent public health issue, with around a quarter of students reporting current use of an illicit drug. MyUSE is an algorithmic, digitally delivered intervention aimed at reducing harms from drug use among higher education students. While many digital interventions around this topic exist, previous work has failed to employ behavioral science in a systematic way. MyUSE focuses on user-centered design (UCD), targeting relevant behavioral changes which are translated into digitally delivered components. This paper describes the challenges of working in an interdisciplinary project team and presents the software-based solutions applied to overcome them. The methodology described demonstrates how sharing the implementation workload can promote synergistic interdisciplinary work in parallel. By providing a flexible centralized platform to manage content and ideas, certain technical requirements become clearly defined and addressed

A new clinical algorithm embedded in a contextual behavior change intervention for higher education student drug use

Illicit drug use among higher education populations is a recognized public health issue. Brief personalized digital behavior change interventions with targeted harm-reduction can facilitate immediate support for this population. To make the intervention tailored to students’ needs, we built a clinical algorithm, informed by relevant behavior change theories and with system design features. Given the lack of previously relevant harm-reduction at student population level, functioning with the use of an algorithm, the aim of this work is twofold. We firstly explain how we developed the clinical algorithm using an empirical data synthesis approach. Secondly, we illustrate how the algorithm is implemented within the first prototype of an intervention named MyUSE, by providing an example on how the clinical algorithm is used to allocate users into different personalized intervention components. The prototype is currently in its final development phase and subsequent work will focus on examining its usability, feasibility, and effectiveness

The Importance of form field validation: lessons learnt from a feasibility study of an mHealth application in Malawi, Africa

Measuring adherence to clinical guidelines using mobile health (mHealth) technologies when form field validation is enforced or turned on could potentially be viewed as skewing the dataset, leading to 100% adherence to the clinical rule base. In theory, healthcare providers should fully abide by clinical guidelines, whether in paper or digital format, to ensure that the patient receives appropriate care. However, what happens when mHealth form field validation is turned off? As part of a feasibility study in Malawi, Africa, we explored this phenomenon. Switching off validation on the mHealth artefact served its purpose within the context of a feasibility study where a parallel paper-based clinical assessment process remained in place. The design of this technical artefact with the turnkey validation feature afforded us the opportunity to turn validation on and off seamlessly. Ultimately, from an ethical, clinical and technical perspective the optimum approach is to ensure that form field validation is switched on. With form field validation on adherence to the clinical guidelines is enforced which minimises incomplete assessment and the potential for suboptimal clinical decisions that could adversely affect patient care

Artificial Intelligence in Government Services: A Systematic Literature Review

The aim of this paper is to provide an overview on how artificial intelligence is shaping the digital era, in policy making and governmental terms. In doing so, it discloses new opportunities and discusses its implications to be considered by policy-makers. The research uses a systematic literature review, which includes more than one technique of data analysis in order to generate comprehensiveness and rich knowledge, we use: a bibliometric analysis and a content analysis. While artificial intelligence is identified as an extension of digital transformation, the results suggest the need to deepen scientific research in the fields of public administration, governmental law and business economics, areas where digital transformation still stands out from artificial intelligence. Although bringing together public and private sectors, to collaborate in the public service delivery, presents major advantages to policy makers, evidence has also shown the existence of negative effects of such collaboration.info:eu-repo/semantics/publishedVersio

Comparative effectiveness of antiepileptic drugs in juvenile myoclonic epilepsy

Objective: To study the effectiveness and tolerability of antiepileptic drugs (AEDs) commonly used in juvenile myoclonic epilepsy (JME). Methods: People with JME were identified from a large database of individuals with epilepsy, which includes detailed retrospective information on AED use. We assessed secular changes in AED use and calculated rates of response (12-month seizure freedom) and adverse drug reactions (ADRs) for the five most common AEDs. Retention was modeled with a Cox proportional hazards model. We compared valproate use between males and females. Results: We included 305 people with 688 AED trials of valproate, lamotrigine, levetiracetam, carbamazepine, and topiramate. Valproate and carbamazepine were most often prescribed as the first AED. The response rate to valproate was highest among the five AEDs (42.7%), and significantly higher than response rates for lamotrigine, carbamazepine, and topiramate; the difference to the response rate to levetiracetam (37.1%) was not significant. The rates of ADRs were highest for topiramate (45.5%) and valproate (37.5%). Commonest ADRs included weight change, lethargy, and tremor. In the Cox proportional hazards model, later start year (1.10 [1.08-1.13], P < 0.001) and female sex (1.41 [1.07-1.85], P = 0.02) were associated with shorter trial duration. Valproate was associated with the longest treatment duration; trials with carbamazepine and topiramate were significantly shorter (HR [CI]: 3.29 [2.15-5.02], P < 0.001 and 1.93 [1.31-2.86], P < 0.001). The relative frequency of valproate trials shows a decreasing trend since 2003 while there is an increasing trend for levetiracetam. Fewer females than males received valproate (76.2% vs 92.6%, P = 0.001). Significance: In people with JME, valproate is an effective AED; levetiracetam emerged as an alternative. Valproate is now contraindicated in women of childbearing potential without special precautions. With appropriate selection and safeguards in place, valproate should remain available as a therapy, including as an alternative for women of childbearing potential whose seizures are resistant to other treatments

Divergent evolution of the activity and regulation of the glutamate decarboxylase systems in Listeria monocytogenes EGD-e and 10403S : roles in virulence and acid tolerance

The glutamate decarboxylase (GAD) system has been shown to be important for the survival of Listeria monocytogenes in low pH environments. The bacterium can use this faculty to maintain pH homeostasis under acidic conditions. The accepted model for the GAD system proposes that the antiport of glutamate into the bacterial cell in exchange for γ-aminobutyric acid (GABA) is coupled to an intracellular decarboxylation reaction of glutamate into GABA that consumes protons and therefore facilitates pH homeostasis. Most strains of L. monocytogenes possess three decarboxylase genes (gadD1, D2 & D3) and two antiporter genes (gadT1 & gadT2). Here, we confirm that the gadD3 encodes a glutamate decarboxylase dedicated to the intracellular GAD system (GADi), which produces GABA from cytoplasmic glutamate in the absence of antiport activity. We also compare the functionality of the GAD system between two commonly studied reference strains, EGD-e and 10403S with differences in terms of acid resistance. Through functional genomics we show that EGD-e is unable to export GABA and relies exclusively in the GADi system, which is driven primarily by GadD3 in this strain. In contrast 10403S relies upon GadD2 to maintain both an intracellular and extracellular GAD system (GADi/GADe). Through experiments with a murinised variant of EGD-e (EGDm) in mice, we found that the GAD system plays a significant role in the overall virulence of this strain. Double mutants lacking either gadD1D3 or gadD2D3 of the GAD system displayed reduced acid tolerance and were significantly affected in their ability to cause infection following oral inoculation. Since EGDm exploits GADi but not GADe the results indicate that the GADi system makes a contribution to virulence within the mouse. Furthermore, we also provide evidence that there might be a separate line of evolution in the GAD system between two commonly used reference strains