Developmental change in the ERP responses to familiar faces in toddlers with autism spectrum disorders versus typical development

Individuals with autism spectrum disorder (ASD) show differences in face processing abilities from early in development. To examine whether these differences reflect an atypical versus delayed developmental trajectory, neural responses to familiar and unfamiliar faces in twenty-four 18- to 47-month-old children with ASD were compared with responses of thirty-two 12- to 30-month-old typically developing children. Results of 2 experiments revealed that neural responses to faces in children with ASD resembled those observed in younger typically developing children, suggesting delayed development. Electrophysiological responses to faces were also related to parent report of adaptive social behaviors for both children with ASD and typical development. Slower development of the face processing system in ASD may be related to reduced self-directed "expected" experience with faces in early development.     

‘Tomorrow's Schools’ in New Zealand: from social democracy to market managerialism

This paper uses one national case to illustrate how diverse ideological agendas of central state agencies contest the discursive space within which major education policy reforms are developed. In Aotearoa New Zealand in 1988, ‘self‐managed’ schools were promoted ostensibly to allow parents more say in their children’s education and local school administration. The Tomorrow’s Schools reform policy texts included an existing social democratic partnership rhetoric, positioning principals as professional leaders working collaboratively with elected parent boards of trustees. However, the new ideology of ‘parental choice’ of school within a local schooling marketplace, underpinned by a chief executive or market managerial model of principalship, was later operationalised through mechanisms of ‘steerage’ from the centre. To explain this shift, we examine selected policy text pre‐cursors to the reforms and identify how contrasting forms of ‘principal’ and ‘teacher’ identity emerged within social democratic, neo‐liberal and market managerial ideologies. We further show that while radical (Treasury) market liberal arguments for labour market deregulation and consumer choice failed to gain widespread support, the State Services Commission preferred market managerialist strategies for promoting public accountability of schools (based on aggregate student achievement outcome data and centrally determined national educational priorities) were successfully embedded during the 1990s.     

The impact of peer mentoring on pupils’ emotional literacy competencies

Research suggests that peer mentoring can positively impact on emotional literacy competencies. This study explored the effects of peer mentoring on the emotional literacy competencies of Year 7 peer mentees using a quasi-experimental pre-test and post-test control group design. Results supported the hypothesis that peer mentoring has a positive impact on the emotional literacy competencies of mentees with low to average levels of emotional literacy at pre-intervention. Results also showed a significant negative correlation between attendance at sessions and perceived Conduct Problems. Unexpectedly, results indicated adverse effects of reading mentoring on the emotional literacy competencies of control participants.     

Face-to-face versus computer-mediated discussion of teaching cases: Impacts on preservice teachers’ engagement, critical analyses, and self-efficacy

Two frequently-used discussion protocols were investigated as part of a program to implement teaching cases in undergraduate educational psychology classes designed for preservice teachers. One protocol involved synchronous face-to-face (FTF) discussion of teaching cases, which occurred in class after students had individually completed written case analyses as homework outside of class. The other was asynchronous computer-mediated (CM) discussion taking place outside of class, simultaneous to students’ completion of their written case analyses. Six class offerings of an undergraduate child development course taught by two instructors (three classes by each instructor) were randomly assigned within instructor in a quasi-experimental design to one of the three discussion conditions: FTF, CM, or no discussion of the cases across the semester. Findings indicated that both CM and FTF discussion conditions were associated with positive outcomes relative to the control condition. Both CM and FTF discussion related to higher cognitive–affective engagement with the cases than the control condition; and the CM discussion condition was associated with higher cognitive–affective engagement than FTF discussion. In contrast, FTF discussion, but not CM discussion, was associated with higher-than-control-condition case analysis ability at the end of the semester. Potential explanations for these findings and directions for future research are discussed.     

Authorship analysis of specialized vs diversified research output

The present work investigates the relations between amplitude and type of collaboration (intramural, extramural domestic or international) and output of specialized versus diversified research. By specialized or diversified research, we mean within or beyond the author’s dominant research topic. The field of observation is the scientific production over five years from about 23,500 academics. The analyses are conducted at the aggregate and disciplinary level. The results lead to the conclusion that in general, the output of diversified research is no more frequently the fruit of collaboration than is specialized research. At the level of the particular collaboration types, international collaborations weakly underlie the specialized kind of research output; on the contrary, extramural domestic and intramural collaborations are weakly associated with diversified research. While the weakness of association remains, exceptions are observed at the level of the individual disciplines.     

School Library Media Specialist-Teacher Collaboration: Characteristics, Challenges, Opportunities

The most successful school library media specialists are those who collaborate with teachers as full partners in the instructional process. Without assertive action by the school library media specialist, however, school administrators and teachers are likely to be more aware of the media specialist’s administrative role than the roles of teacher, instructional partner, and information specialist. Reductions to library media staff and finding common planning time are examples of serious challenges, but these are not insurmountable. In the context of well-planned instructional projects, collaboration with teachers is a primary way that school library media professionals can demonstrate that their work is a vital part of the academic life of their schools, and a positive factor in improving student achievement.     

Team-based learning in anatomy: an efficient, effective, and economical strategy

Team-based learning (TBL) strategy is being adopted in medical education to implement interactive small group learning. We have modified classical TBL to fit our curricular needs and approach. Anatomy lectures were replaced with TBL that required preparation of assigned content specific discussion topics (in the text referred as "discussion topics"), an individual self-assessment quiz (IRAT), analysis of the discussion topics, and then the team retaking the same quiz (GRAT) for discussion and deeper learning. Embryology and clinical correlations were given as lectures. Unit examinations consisted of graded IRAT and GRAT. The National Board of Medical Examiners (NBME) Subject Examination was the comprehensive final examination. To evaluate the effect of TBL on student performance we compared the departmental and NBME subject examination scores between the traditional and TBL curricula. We collected five years of data on student performance in TBL-based anatomy and lecture-based preclinical courses. Our results show that departmental and NBME subject examination scores for TBL-based anatomy were higher than those for lecture-based anatomy. We subsequently compared average NBME scores for anatomy with those in other preclinical courses that were lecture-based. Average NBME anatomy scores were significantly higher than those for all the lecture-based preclinical courses. Since the introduction of TBL in anatomy, student performance has progressively improved in the NBME subject examination. Students perceived TBL as a motivator to be a responsible team member and to contribute to collective learning by the team. Further, it reinforced self-directed learning and fostered an appreciation for peer respect. Interestingly, these perceptions were uniform irrespective of student course performance.     

Novel model reference adaptive control laws for improved transient dynamics and guaranteed saturation constraints

In classical model reference adaptive control (MRAC), the adaptive rates must be tuned to meet multiple competing objectives. Large adaptive rates guarantee rapid convergence of the trajectory tracking error to zero. However, large adaptive rates may also induce saturation of the actuators and excessive overshoots of the closed-loop system’s trajectory tracking error. Conversely, low adaptive rates may produce unsatisfactory trajectory tracking performances. To overcome these limitations, in the classical MRAC framework, the adaptive rates must be tuned through an iterative process. Alternative approaches require to modify the plant’s reference model or the reference command input. This paper presents the first MRAC laws for nonlinear dynamical systems affected by matched and parametric uncertainties that constrain both the closed-loop system’s trajectory tracking error and the control input at all times within user-defined bounds, and enforce a user-defined rate of convergence on the trajectory tracking error. By applying the proposed MRAC laws, the adaptive rates can be set arbitrarily large and both the plant’s reference model and the reference command input can be chosen arbitrarily. The user-defined rate of convergence of the closed-loop plant’s trajectory is enforced by introducing a user-defined auxiliary reference model, which converges to the trajectory tracking error obtained by applying the classical MRAC laws before its transient dynamics has decayed, and steering the trajectory tracking error to the auxiliary reference model at a rate of convergence that is higher than the rate of convergence of the plant’s reference model. The ability of the proposed MRAC laws to prescribe the performance of the closed-loop system’s trajectory tracking error and control input is guaranteed by barrier Lyapunov functions. Numerical simulations illustrate both the applicability of our theoretical results and their effectiveness compared to other techniques such as prescribed performance control, which allows to constrain both the rate of convergence and the maximum overshoot on the trajectory tracking error of uncertain systems.