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There are few published studies investigating the effectiveness of hybrid formats at the program level in graduate legal education. A hybrid Juris Doctorate (J.D.) program launched by a Midwestern institution was the first ABA-accredited law degree program with a substantial online learning component. This study takes a mixed methods approach (both quantitative and qualitative) to evaluate student outcomes and the extent to which the hybrid program expands access to legal education. The study compares student outcomes in the hybrid program with full-time and part-time traditional, in-person programs at the same institution. After three terms of data collection, findings suggest that student outcomes and engagement are comparable across formats when controlling for student background characteristics and prior achievement. Evidence suggests that the hybrid option may increase access to legal education but is insufficient to determine whether the hybrid program will increase availability of legal services in underserved areas.
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Valid measures of student motivation can inform the design of learning environments to engage students and maximize learning gains. This study validates a measure of student motivation, the Reduced Instructional Materials Motivation Survey (RIMMS), with a sample of Chinese middle school students using an adaptive learning system in math. Participants were 429 students from 21 provinces in China. Their ages ranged from 14 to 17 years old, and most were in 9th grade. A confirmatory factor analysis (CFA) validated the RIMMS in this context by demonstrating that RIMMS responses retained the intended four-factor structure: attention, relevance, confidence, and satisfaction. To illustrate the utility of measuring student motivation, this study identifies factors of motivation that are strongest for specific student subgroups. Students who expected to attend elite high schools rated the adaptive learning system higher on all four RIMMS motivation factors compared to students who did not expect to attend elite high schools. Lower parental education levels were associated with higher ratings on three RIMMS factors. This study contributes to the field's understanding of student motivation in adaptive learning settings.
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Preschool teachers across the country have been charged to prepare children socially and emotionally for kindergarten. Teachers working in preschool centers are supporting children's social and emotional learning (SEL) within a rich ecology of emotion and social relationships and the present study considers how the supports implemented for children's SEL at the center-level are associated with teachers' psychological health and workplace experiences. Hierarchical linear models were constructed using data from the Head Start Family and Child Experiences Survey 2009 cohort. Results indicate that although teachers work in individual classrooms, they share common perceptions at the center-level of their workplace climate, access to support, and, although to a lesser extent, experience commonalities in psychological health and job satisfaction. Furthermore, in centers that had implemented more supports for children's SEL (including access to mental health consultants, classroom curriculum, and training and resources for teachers) teachers were less depressed, more satisfied with their jobs, felt more supported in managing challenging behavior, and viewed the workplace climate of their center as more positive. Findings are discussed in light of the national efforts to increase and retain a high-quality early childhood workforce.
Assuntos
Depressão/psicologia , Satisfação no Emprego , Cultura Organizacional , Professores Escolares/psicologia , Apoio Social , Adulto , Pré-Escolar , Feminino , Humanos , Masculino , Pessoa de Meia-IdadeRESUMO
Using Ecological Momentary Assessment, we explored predictors of adolescents' television (TV) multitasking behaviors. We investigated whether demographic characteristics (age, gender, race/ethnicity, and maternal education) predict adolescents' likelihood of multitasking with TV. We also explored whether characteristics of the TV-multitasking moment (affect, TV genre, attention to people, and media multitasking) predict adolescents' likelihood of paying primary versus secondary attention to TV. Demographic characteristics do not predict TV multitasking. In TV-multitasking moments, primary attention to TV was more likely if adolescents experienced negative affect, watched a drama, or attended to people; it was less likely if they used computers or video games.
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We consider the mass-dependent aggregation process (k+1)XâX, given a fixed number of unit mass particles in the initial state. One cluster is chosen proportional to its mass and is merged into one, either with k neighbors in one dimension, or--in the well-mixed case--with k other clusters picked randomly. We find the same combinatorial exact solutions for the probability to find any given configuration of particles on a ring or line, and in the well-mixed case. The mass distribution of a single cluster exhibits scaling laws and the finite-size scaling form is given. The relation to the classical sum kernel of irreversible aggregation is discussed.
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We study four Achlioptas-type processes with "explosive" percolation transitions. All transitions are clearly continuous, but their finite size scaling functions are not entirely holomorphic. The distributions of the order parameter, i.e., the relative size s(max)/N of the largest cluster, are double humped. But-in contrast to first-order phase transitions-the distance between the two peaks decreases with system size N as N(-η) with η>0. We find different positive values of ß (defined via (s(max)/N)â¼(p-p(c))ß for infinite systems) for each model, showing that they are all in different universality classes. In contrast, the exponent Θ (defined such that observables are homogeneous functions of (p-p(c))N(Θ)) is close to-or even equal to-1/2 for all models.
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We develop a framework for simulating a realistic, evolving social network (a city) into which a disease is introduced. We compare our results to prevaccine era measles data for England and Wales, and find that they capture the quantitative and qualitative features of epidemics in populations spanning two orders of magnitude. Our results provide unique insight into how and why the social topology of the contact network influences the propagation of the disease through the population. We argue that network simulation is suitable for concurrently probing contact network dynamics and disease dynamics in ways that prior modeling approaches cannot and it can be extended to the study of less well-documented diseases.