Effect of seasonality on the dynamical behavior of an ecological system with impulsive control strategy

In this paper, on the basis of the theories and methods of ecology and ordinary differential equation, an ecological model consisting of two preys and one predator with impulsive control strategy and seasonal effects is established. Conditions which guarantee the global asymptotical stability of the prey-eradication periodic solution are obtained using the theory of impulsive equations, small amplitude perturbation skills, and comparison techniques. Further, the influences of the impulsive perturbation and seasonal effects on the inherent oscillation are studied numerically. These show to be consistent with the theoretical analysis and rich complex population dynamics, such as species extinction and permanence. Moreover, the population dynamical behavior of the model is demonstrated by the computed largest Lyapunov exponent. By investigating the strange attractors through their computed Fourier spectra, we know that seasonality has a profound effect on the population dynamical behavior. All these results are expected to be of use in the study of dynamic complexity of ecosystems.     

Enhancing curriculum and delivery: linking assessment to learning objectives

Typical university‐wide course evaluations do not provide instructors with sufficient information on the effectiveness of their courses. This article describes a course assessment and enhancement model where student feedback can be used to improve courses and/or programs. The model employs an assessment tool that measures student perceptions of importance and their current competence in course‐specific learning objectives both pre‐ and post‐course. Information gained from this assessment enables course improvement over time and also allows for modification in delivery and/or content of the current course. This model is intended to augment traditional course evaluation mechanisms based on specific and actionable feedback on learning objectives.     

The Role of Childhood Executive Function in Explaining Income Disparities in Long-Term Academic Achievement

This study utilized data from the Avon Longitudinal Study of Parents and Children (N = 14,860) to examine whether early-life family income (age 0–5) predicted long-term academic achievement (age 16–18) and to investigate the role of executive function (EF) assessed multiple times across age 7–11 in explaining this association. Task-based EF was a significant mediator between early-life family income and later academic achievement in every model. This mediating pathway persisted when adjusting for a comprehensive panel of covariates including verbal IQ, sex, family income at ages 8 and 18, and early-life temperament. Additionally, teacher-rated and parent-rated EF mediated in some models. Overall, these findings suggest that childhood EF may play an important role in perpetuating income-based educational disparities.     

Latent Markov Factor Analysis for Exploring Measurement Model Changes in Time-Intensive Longitudinal Studies

When time-intensive longitudinal data are used to study daily-life dynamics of psychological constructs (e.g., well-being) within persons over time (e.g., by means of experience sampling methodology), the measurement model (MM)—indicating which constructs are measured by which items—can be affected by time- or situation-specific artifacts (e.g., response styles and altered item interpretation). If not captured, these changes might lead to invalid inferences about the constructs. Existing methodology can only test for a priori hypotheses on MM changes, which are often absent or incomplete. Therefore, we present the exploratory method “latent Markov factor analysis” (LMFA), wherein a latent Markov chain captures MM changes by clustering observations per subject into a few states. Specifically, each state gathers validly comparable observations, and state-specific factor analyses reveal what the MMs look like. LMFA performs well in recovering parameters under a wide range of simulated conditions, and its empirical value is illustrated with an example.     

Early Second Language Learning through SparkLing™: Scaling up a Language Intervention in Infant Education Centers

Infancy (0–3 years) represents a unique time for language learning. Previous research shows that infants' second language (L2) learning advances rapidly in early education centers, through a research‐based method and curriculum delivered by native‐speaking language tutors. Here we test the potential of this method for broad application, through an interactive online tool, SparkLing?, which trains and certifies language tutors to implement the program in infant education centers. Intervention infants (n = 168) from families of predominantly low socioeconomic status (SES) backgrounds in Madrid, Spain, experienced 18 or 36 weeks of L2 (English) exposure, through daily, 45‐min, group sessions led by SparkLing?‐trained tutors and were compared to a matched Current Practice Comparison (CPC) group of peers (n = 72). Intervention children outperformed the CPC group and showed rapid gains in English comprehension and production. SES was not a significant factor in learning. Infants' L2 skills advance quickly using this research‐to‐practice, scalable program for play‐based infant L2 instruction.     

Intergenerational transmission of abuse: a two-generational prospective study of an at-risk sample.

OBJECTIVE: A model was examined in which the association between a parent's history of abuse and the parent's own abusive behavior toward his or her children was hypothesized to be mediated by parental psychopathology, early childbearing, and consistency of discipline. Additionally, the effect of severity of abuse on the likelihood of becoming abusive was examined. METHOD: Participants were 109 parents (G1) and their male children (G2) who were involved in a longitudinal study. The G1 parents reported on their own experiences of abuse when they were children. Ten years later, the G2 youths reported on the G1 parents' abusive behavior toward them. A number of other factors, including parental socioeconomic status (SES), antisocial behavior, depression and Post-traumatic Stress Disorder (PTSD), consistency of discipline, and the perceived early difficulty of the G2 children were measured. RESULTS: As reported by their own children, parents who reported having been abused in childhood were significantly more likely to engage in abusive behaviors toward the next generation. Findings indicated that abuse experienced by the parents, as well as consistency of discipline and depression plus PTSD, were predictive of parental abuse of the child. Contrary to hypotheses, the effects were not fully mediated. However, there were significant interactions between parental history of abuse and consistency of discipline, as well as abuse history and depression and PTSD. Parents who had experienced multiple acts of abuse and at least one physical impact were more likely to become abusive than were the other parents. CONCLUSIONS: The implications of these findings for preventive interventions are discussed.     

Are mathematics disabilities due to a domain-general or a domain-specific working memory deficit?

The relationship between verbal and visual-spatial working memory and mathematical computation skill was examined in children and adults with and without disabilities in mathematics. A hierarchical regression analysis showed that, when partialing for the influence of reading ability, age, and gender, mathematical computation was better predicted by verbal than by visual-spatial working memory. Furthermore, the results showed that the relationship between mathematics ability and working memory were not significantly moderated by age but were stable across a broad age span. We concluded that, regardless of age, deficits in mathematics are mediated by both a domain-general and a domain-specific working memory system.     

The Relationship Between Retention and College Counseling for High‐Risk Students

The author used an archival study to explore the relationship between college counseling and retention. The cohort for this study was a college's 2006 class of full‐time, 1st‐year students (N = 429). The results of chi‐square analyses and regression analyses indicated (a) a significant difference in retention between high‐risk and low‐risk students who used counseling services (CS) and (b) that a student's risk for dropout did not vary significantly over time based on risk level or CS use.     

The University Experiences of Students with Learning Disabilities

To explore the university experiences of students with learning disabilities (LD), 63,802 responses to the 2014 Student Experience in the Research University Survey were analyzed. Compared to other students, those with self‐reported LD (5.96 percent) had difficulty with assignments and had more obstacles caused by nonacademic responsibilities and imposed by their skill levels. Students with self‐reported LD sensed more bias toward people with disabilities on campus, and they were less satisfied with their overall experience. Interactions between disability status and age suggested even more challenges for older students who self‐reported LD. Approximately one‐third of students who self‐reported LD received accommodations. The rate of accommodations was higher among individuals who were wealthy, who lived alone, and who were out‐of‐state students. Compared to students who self‐reported LD but reported no accommodations, those with accommodations had more contact with faculty and less difficulty with assignments.