Towards a Competency Model for Teaching Computer Science

To address the special challenges of teaching computer science, adequate development of teachers’ competencies during their education is extremely important. In particular, pedagogical content knowledge and teachers’ beliefs and motivational orientations play an important role in effective teaching. This research field has been sparsely investigated up to now and there exists no consistent competency model for teaching computer science in Germany. Therefore, this paper describes the development of competency in the areas of pedagogical content knowledge, teachers’ beliefs, and motivational orientations with regard to computer science. Competency-relevant factors for teaching computer science are theoretically derived and concretely formulated with the help of expert interviews conducted according to the critical incident technique and analyzed using techniques of qualitative content analysis.     

Careers in aging: how job-seekers search for and how employers advertise positions in aging-related markets

Given its rapidly-aging population, the U.S. needs a workforce that is informed about and capable of meeting the diverse needs of older adults. Students pursing gerontology education may feel unsure of career opportunities as they enter a job market with traditionally clearly-defined disciplinary backgrounds. The goal of this study was to explore how people currently employed in an aging-related job searched for positions, and how this compared to phrasing used by employers to advertise job openings across several aging-related fields. A web-based survey was administered to employees in aging-related positions, and a search of four job-seeking websites to collect and analyze aging-related job postings was conducted. Most (63%) currently working in the field of aging reported finding their jobs through referral from a friend/colleague or through job search sites or job boards. Out of 493 relevant job postings identified, only 175 of the postings (35%), preferred or required applicants to have some type of aging-related knowledge, skills, training, or prior experience. There may be consequences to not specifically recruiting applicants with aging-related backgrounds: job seekers with qualifications in aging may look for other positions that expressly call for their specialized skills or knowledge, and quality of services and care may be different when provided by persons without such training.     

Developing a Model of Medication Adherence among Filipino Elderly

While adherence to medication remains a problematic area in the care of chronically ill elderly, an extended model that incorporates the interaction of studied variables remains a blank spot. Anchored on Ajzen's Theory of Planned Behavior, this article details our efforts to develop and test a model of medication adherence among Filipino elderly relative to their medication belief, follow-up visits, consultation satisfaction, memory task, trust with physician, perceived stress, memory strategies, social support, memory load, depression, length of time taking the medication, number of conditions, and self-efficacy with medication adherence. Structural equation modeling (SEM) was employed to study causalities among all parameters. With the participation of 325 older adults located in District IV, Sampaloc, Manila, data needed were gathered through a multiaspect questionnaire consisting of a robotfoto, a memory strategy usage measure, an eight-scale Morisky Medication Adherence Scale, a 15-item Geriatric Depression Scale, a General Self-efficacy Scale, a Consultation Satisfaction Questionnaire, and a Perceived Stress Scale. Data were analyzed using AMOS version 19. Results revealed that depression, trust with physician, and number of conditions affect adherence positively, while event-based memory, consultation satisfaction, memory load, and external memory strategy affect it otherwise. Some suggested variables were found to have no impact at all. As this study reveals, careful consideration should be given to multiple factors, and their interrelationship should be examined well. Because many factors can influence medication adherence behavior of the elderly, and because the reasons for their noncompliance are also varied, multifaceted solutions must be developed.     

Performance indicators as conceptual technologies

This paper posits that performance indicators (PIs)are conceptual technologies that shape what issuesacademics think about and how academics think aboutthose issues by embedding normative assumptions intothe selection and structure of those indicators.Exploring the assumptions embedded in Alberta's(Canada) PIs yields an initial typology of assumptionsthat academics can apply to performance indicators inhigher education to understand, refine or criticallychallenge their introduction.     

Mother-Child Play: Sequential Interactions and the Relation between Maternal Beliefs and Behaviors

This investigation of mother and toddler play had 2 goals. The primary goal was to examine the types of play mothers introduce in direct response to their toddlers' play. A secondary and exploratory goal was to examine the relation between maternal knowledge about child play and actual maternal play behaviors. 50 mothers and their 21-month-old toddlers were observed at home during free play. Mother and child exploratory, nonsymbolic, and symbolic play were coded. Sequential analyses revealed that mothers adjusted their play to their children's play level by responding to their children with play that was either at the same level or at a higher level than their children's play. Furthermore, mothers who were more knowledgeable about early play development more often responded to their children's play by introducing higher level play. These findings suggest that mothers tend to play with their toddlers in ways that might promote their child's development, and that mothers with more knowledge about play development provide their children with appropriately challenging play interactions.     

Exploring Changes in Student Engagement through the RULER Approach: An Examination of Students at Risk of Academic Failure

The present paper examines if developmental pathways for students at risk for academic failure can be improved through social and emotional learning (SEL). Specifically, we test this hypothesis by accounting for shifts in student engagement, a highly studied and malleable construct often inclusive of SEL interventions, as the pathway by which to impact student achievement outcomes. Using longitudinal data from a randomized control trial, we identified students at risk for school failure (n?=?318) within a larger sample of fifth graders (N?=?1,352). Multigroup path model revealed that participation in RULER significantly impacted the relationship between student engagement and conduct behaviors for at risk students: students who experienced RULER demonstrated increased engagement a year later (at sixth grade) and improved conduct the following year (in seventh grade). The potential for and limitations of SEL programs on developmental trajectories for students at risk for school failure are discussed.     

Public Opinion of Genetic and Neuropsychological Contributors to Criminal Involvement

There is a lack of research that has examined public opinion on the importance of biosocial influences for understanding the potential causes of criminal and delinquent involvement. We address this gap in the current study by surveying a nationally representative sample of adults about the importance of biosocial factors for influencing criminal behavior. Results indicate that the public believes the environment matters more than genetic factors for determining whether someone becomes a criminal. However, the data also reveal an overall acceptance of the importance of neuropsychological factors for influencing criminal behavior. An ordered logistic regression analysis was also estimated to examine potential differences in opinion across demographic categories. The results revealed that income, gender, marital status, and employment status are significantly associated with whether a respondent supports the role of biosocial factors in crime causation. Implications of the findings are discussed.