A Simulation and Comparison of Flexilevel and Bayesian Computerized Adaptive Testing

Computerized adaptive testing (CAT) is a testing procedure that adapts an examination to an examinee's ability by administering only items of appropriate difficulty for the examinee. In this study, the authors compared Lord's flexilevel testing procedure (flexilevel CAT) with an item response theory-based CAT using Bayesian estimation of ability (Bayesian CAT). Three flexilevel CATs, which differed in test length (36, 18, and 11 items), and three Bayesian CATs were simulated; the Bayesian CATs differed from one another in the standard error of estimate (SEE) used for terminating the test (0.25, 0.10, and 0.05). Results showed that the flexilevel 36- and 18-item CATs produced ability estimates that may be considered as accurate as those of the Bayesian CAT with SEE = 0.10 and comparable to the Bayesian CAT with SEE = 0.05. The authors discuss the implications for classroom testing and for item response theory-based CAT.     

Sexual child abuse as an antecedent to prostitution

A study of 200 juvenile and adult street prostitutes documented extremely high levels of sexual child abuse in their background. Sixty percent of the subjects were sexually exploited by an average of two people each, over an average period of 20 months. Two-thirds were sexually abused by father figures. The abuse had extremely negative emotional, physical, and attitudinal impacts. Seventy percent of the women reported that the sexual exploitation definitely affected their decision to become a prostitute. The others reflected the influence in their open-ended comments. Findings make a unique contribution to both the studies of the antecedents to prostitution, and the long-term impacts of sexual child abuse.     

Designing the ideal school as a transformative process: an approach to promoting teacher identity in pre-service teachers

This paper presents an approach to planning academic courses for pre-service teachers and for researching development of teacher identity. The approach was implemented in a course, conducted in an Israeli Master Teach program, designed to foster pre-service teacher identity transformation. The research described here addresses two questions: (1) To what extent does the approach contribute to the understanding of teacher identity formation? (2) Using this approach, how can pre-service teacher educators support teacher identity transformation? Using a metaphorical tool, students designed their ‘ideal school’ at the beginning and at the end of the course. Identity transformation was evaluated by comparing their designs. Demonstration of this approach methodology is presented through an analysis of the designs of one female student. Findings highlight the potential of this approach to reveal and cope with obstacles inhibiting transformative learning: narrow, imbalanced, inconsistent, and shallow perspective; rigid patterns of thinking; and lack of emotional awareness.     

Islam and education policy reform in the southern Philippines

The devolution of control over education policy in the Autonomous Region in Muslim Mindanao of the southern Philippines has led, in recent years, to efforts to Islamise education in the region, a trend reflective of similar efforts in other Southeast Asian Muslim countries but often seen as worrisome by secular observers concerned about the alleged radicalising influences of Islamic education. This essay critically examines two approaches to the Islamisation of education proposed by Syed Muhammad Naquib al-Attas and Fazlur Rahman, arguing that Islamisation of education in Muslim Mindanao is more likely to take a pragmatic than fundamentalist course.     

形成性评价（Formative Assessment）的本质及其对教与学的影响

长期以来,很多学者一直倡导指导教学的评价,即通过评估学生需求和监测其学习进展,适当地设计学习顺序,调整教学策略,改良学习计划,以便有效地促进学习目标的完成。本研究调查了形成性评价在美国中学科学课中的实施情况,并分析其对学生学习进步的影响。研究表明,教师都在努力使用形成性评价来指导教学,而学生取得的成绩各不相同。     

The Effects of Video Self‐Modeling on the Decoding Skills of Children at Risk for Reading Disabilities

Ten first grade students who had responded poorly to a Tier 2 reading intervention in a response to intervention (RTI) model received an intervention of video self‐modeling to improve decoding skills and sight word recognition. Students were video recorded blending and segmenting decodable words and reading sight words. Videos were edited and viewed a minimum of four times per week. Data were collected twice per week using curriculum‐based measures. A single subject multiple baseline across participants design was used. Results indicated an increase in decoding skills and sight word recognition for all participants. A 2‐week posttest maintenance assessment showed retention or increases for 70 percent of participants. Results from the study offer promise for a specific intervention that may reach particular students who respond poorly to Tier 2 reading instruction.     

Predicting centre of mass horizontal speed in low to severe swimming intensities with linear and non-linear models

We aimed to compare multilayer perceptron (MLP) neural networks, radial basis function neural networks (RBF) and linear models (LM) accuracy to predict the centre of mass (CM) horizontal speed at low-moderate, heavy and severe swimming intensities using physiological and biomechanical dataset. Ten trained male swimmers completed a 7 × 200 m front crawl protocol (0.05 m.s^?1 increments and 30 s intervals) to assess expiratory gases and blood lactate concentrations. Two surface and four underwater cameras recorded independent images subsequently processed focusing a three-dimensional reconstruction of two upper limb cycles at 25 and 175 m laps. Eight physiological and 13 biomechanical variables were inputted to predict CM horizontal speed. MLP, RBF and LM were implemented with the Levenberg-Marquardt algorithm (feed forward with a six-neuron hidden layer), orthogonal least squares algorithm and decomposition of matrices. MLP revealed higher prediction error than LM at low-moderate intensity (2.43 ± 1.44 and 1.67 ± 0.60%), MLP and RBF depicted lower mean absolute percentage errors than LM at heavy intensity (2.45 ± 1.61, 1.82 ± 0.92 and 3.72 ± 1.67%) and RBF neural networks registered lower errors than MLP and LM at severe intensity (2.78 ± 0.96, 3.89 ± 1.78 and 4.47 ± 2.36%). Artificial neural networks are suitable for speed model-fit at heavy and severe swimming intensities when considering physiological and biomechanical background.     

PRISMA-S: an extension to the PRISMA statement for reporting literature searches in systematic reviews

Background:Literature searches underlie the foundations of systematic reviews and related review types. Yet, the literature searching component of systematic reviews and related review types is often poorly reported. Guidance for literature search reporting has been diverse and, in many cases, does not offer enough detail to authors who need more specific information about reporting search methods and information sources in a clear, reproducible way. This document presents the PRISMA-S (Preferred Reporting Items for Systematic reviews and Meta-Analyses literature search extension) checklist, and explanation and elaboration.Methods:The checklist was developed using a three-stage Delphi survey process, followed by a consensus conference and public review process.Results:The final checklist includes sixteen reporting items, each of which is detailed with exemplar reporting and rationale.Conclusions:The intent of PRISMA-S is to complement the PRISMA Statement and its extensions by providing a checklist that could be used by interdisciplinary authors, editors, and peer reviewers to verify that each component of a search is completely reported and, therefore, reproducible.     

Attitudes towards corporal punishment and reporting of abuse

OBJECTIVES: To assess physicians' attitudes towards corporal punishment in childhood and their subsequent actions regarding the reporting of child abuse. PARTICIPANTS: 107 physicians (95 pediatricians and 12 family practitioners) who work in hospitals and community clinics in northern Israel were interviewed. Of the participants, 16% were new immigrants. PROCEDURE: A structured interview was conducted by one of two pediatric residents. RESULTS: Attitudes towards corporal punishment were not influenced by the physicians' sex or specialty. Corporal punishment was approved by 58% of the physicians. A significant difference in attitudes towards corporal punishment between immigrants and Israeli born physicians was found (p=.004). Family practitioners and especially senior ones were found significantly less tolerant towards corporal punishment than pediatricians (p=.04). While reporting behavior was not found to be associated with parental status and the past experience of the physicians with child abuse, a significant effect of attitudes towards corporal punishment on reporting behavior was found (p=.01). CONCLUSIONS: (1) Corporal punishment is still perceived as an acceptable disciplinary act by a significant proportion of physicians responsible for the health care of children in our area. (2) Attitudes towards corporal punishment are different between immigrants and native born Israeli trained doctors and, unexpectedly, pediatricians were more tolerant of corporal punishment than family practitioners.