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In response to the adoption of Agile practices and processes by businesses, IT/IS educators are working to add Agile content to their courses. Teaching students about Agile involves teaching them about the history, mindset, and values of Agile, along with an introduction to the practices and processes used in an Agile product. Along with this, it is essential that students gain experience using Agile in a project setting. This paper discusses an Agile practice project where students use all aspects of Agile to address a problem and build a solution using Legos. The use of Legos, along with a project that students can easily see themselves using, the practice project allows students to focus on developing their Agile skills and mindset. The project serves as a useful transition from traditional classroom instruction about Agile to a project for a real-world client.

Interpretative phenomenological analysis was used to explore the simultaneous supervision experiences of counselors-in-training. Simultaneous supervision is when a supervisee receives clinical supervision from multiple supervisors. Sometimes this supervision includes a university supervisor and a site supervisor. Other times this supervision occurs when a student has multiple sites in one semester and receives supervision at each site. Counselors-in-training described their experiences with simultaneous supervision during the course of their education. Four superordinate themes emerged: making sense of multiple perspectives, orchestrating the process, supervisory relationship dynamics, and personal dispositions and characteristics. Results indicated that counselors-in-training experienced compounded benefits and challenges. Implications for supervisors, supervisees, and counselor education programs are provided.

This report describes two integrated projects initiated by the 2020 3M National Teaching Fellowship Award (NTF) cohort on the concepts of educational leadership in Canadian universities and the role of authenticity among exemplary teachers. A thematic analysis of 3M NTF award-winning dossiers identified six prevalent traits characteristic of educational leaders: innovation, persistence, responsiveness, reflectiveness, curiosity, and positive opportunism. The analysis also revealed aspects of educational leadership in practice, including being committed to a cause and being action-oriented, being community-engaged, being multi-disciplinarity, building bridges, freely sharing, trailblazing, and using applied methods. Educational leaders' relationships with others tended to foreground elements of collaboration, empowerment, support, and mentorship, and their actions had an impact beyond their own classrooms or institutions. In the second project, qualitative interviews with cohort members articulated ways in which authentic teaching is expressed by educational leaders. The actions of authentic teachers were viewed as influential and inspiring, and authentic teachers tended to be recognized as instruments of change. These results were shared in an interactive workshop at STHLE 2022, which discussed how educational leadership is currently framed in higher education, and guided participants in self-reflection as educators and leaders to formulate calls to action involving educational leadership and authentic teaching.

Objective: Our study examined the impact of sex, ADHD subtype, and comorbid illnesses (depression/anxiety) on the timing of diagnosis and treatment for ADHD. Method: To analyze ADHD patients, four health databases were used to assess subtype, comorbid mood, and antidepressant or anxiolytic drug exposure. Analyses were stratified by sex and age. Standardized mean differences measured intergroup differences. Results: Females with ADHD were identified at older ages and had higher rates of depression and anxiety diagnoses and treatments before and after their initial ADHD diagnosis. Predominantly inattentive ADHD patients were diagnosed later and more likely to receive mood disorder diagnosis and treatment than hyperactive impulsive ADHD patients. Conclusions: Results suggest a more complex ADHD presentation in females, potentially causing late diagnosis and delayed treatment.

Adolescent school connectedness generally protects from risk behaviors such as tobacco use; however, its relationship to e-cigarette use is unclear. This study examines the relationship between adolescent school connectedness and e-cigarette susceptibility in a diverse longitudinal sample. This secondary analysis of a school-based intervention surveyed 608 middle (66%) and high school (34%) students from 10 schools at 3 time points over 1 year. At baseline, respondents had a mean age of 14 years, 54% were female, and 71% were BIPOC (Black, Indigenous, People of Color). Logistic regression models examined unadjusted and adjusted associations between school connectedness (both baseline and concurrent) and e-cigarette susceptibility over time. E-cigarettes represented the most prevalent form of current nicotine-containing product use in spring 2019 (2.3%), and most respondents reported no e-cigarette susceptibility (69%). E-cigarette susceptibility remained relatively stable during the study. Higher baseline school connectedness levels were associated with lower odds of e-cigarette susceptibility over time. Similarly, higher concurrent school connectedness scores were associated with lower odds of e-cigarette susceptibility over time: spring 2019 (OR, 0.39; 95% CI, 0.32, 0.47), fall 2019 (OR, 0.49; 95% CI, 0.34, 0.72), and spring 2020 (OR, 0.64; 95% CI, 0.47, 0.87). Findings were similar for middle and high school students and did not differ significantly after adjusting for other covariates. Adolescents' school connectedness appears to protect from e-cigarette susceptibility over time, underscoring the importance of promoting positive school experiences to reduce adolescent risk e-cigarette use.

Autistic people often experience difficulties navigating face-to-face social interactions. Historically, the empirical literature has characterised these difficulties as cognitive 'deficits' in social information processing. However, the empirical basis for such claims is lacking, with most studies failing to capture the complexity of social interactions, often distilling them into singular communicative modalities (e.g. gaze-based communication) that are rarely used in isolation in daily interactions. The current study examined how gaze was used in concert with communicative hand gestures during joint attention interactions. We employed an immersive virtual reality paradigm, where autistic (n = 22) and non-autistic (n = 22) young people completed a collaborative task with a non-autistic confederate. Integrated eye-, head- and hand-motion-tracking enabled dyads to communicate naturally with each other while offering objective measures of attention and behaviour. Autistic people in our sample were similarly, if not more, effective in responding to hand-cued joint attention bids compared with non-autistic people. Moreover, both autistic and non-autistic people demonstrated an ability to adaptively use gaze information to aid coordination. Our findings suggest that the intersecting fields of autism and social neuroscience research may have overstated the role of eye gaze during coordinated social interactions.

Drawing on annual, nationally representative survey data from 2007-2022, I demonstrate that partisan gaps - the average differences in public opinion between Democrats and Republicans - have widened on many education issues. This pattern consistently exceeds what would be expected due to the changing demographic compositions of the parties alone. Widening partisan gaps are primarily attributable to sorting (alignment of one's party affiliation and one's issue positions) rather than polarization (increasing support for more extreme positions relative to more moderate positions). However, polarization is also increasing on some of the most divisive issues. Among those who are sorting, individuals are overwhelmingly switching their issue positions to align with their party affiliations rather than switching their party affiliations to align with their issue positions.

Causal reasoning is a fundamental cognitive ability that enables individuals to learn about the complex interactions in the world around them. However, the mechanisms that underpin causal reasoning are not well understood. For example, it remains unresolved whether children's causal inferences are best explained by Bayesian inference or associative learning. The two experiments and computational models reported here were designed to examine whether 5- and 6-year-olds will retrospectively reevaluate objects--that is, adjust their beliefs about the causal status of some objects presented at an earlier point in time based on the observed causal status of other objects presented at a later point in time--when asked to reason about 3 and 4 objects and under varying degrees of information processing demands. Additionally, the experiments and models were designed to determine whether children's retrospective reevaluations were best explained by associative learning, Bayesian inference, or some combination of both. The results indicated that participants retrospectively reevaluated causal inferences under minimal information-processing demands (Experiment 1) but failed to do so under greater information processing demands (Experiment 2) and that their performance was better captured by an associative learning mechanism, with less support for descriptions that rely on Bayesian inference.

* Context.--Rapid advancements in the understanding and manipulation of tumor-immune interactions have led to the approval of immune therapies for patients with non-small cell lung cancer. Certain immune checkpoint inhibitor therapies require the use of companion diagnostics, but methodologic variability has led to uncertainty around test selection and implementation in practice. Objective.--To develop evidence-based guideline recommendations for the testing of immunotherapy/immunomodulatory biomarkers, including programmed death ligand-1 (PD-L1) and tumor mutation burden (TMB), in patients with lung cancer. Design.--The College of American Pathologists convened a panel of experts in non-small cell lung cancer and biomarker testing to develop evidence-based recommendations in accordance with the standards for trustworthy clinical practice guidelines established by the National Academy of Medicine. A systematic literature review was conducted to address 8 key questions. Using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach, recommendations were created from the available evidence, certainty of that evidence, and key judgments as defined in the GRADE Evidence to Decision framework. Results.--Six recommendation statements were developed. Conclusions.--This guideline summarizes the current understanding and hurdles associated with the use of PD-L1 expression and TMB testing for immune checkpoint inhibitor therapy selection in patients with advanced non-small cell lung cancer and presents evidence-based recommendations for PD-L1 and tMb testing in the clinical setting. doi: 10.5858/arpa.2023-0536-CP), The advent of immune modulatory therapy has led to a radical shift in the treatment paradigm for patients with a wide range of cancers. The clinical impact of these therapies, [...]