A review of teacher evaluation beliefs

Teacher evaluation beliefs have received a substantial amount of attention in the educational literature, but comparatively little attention from the belief research topics specially. As the driving force, evaluation resembles belief mention but lack the systemic description. On the base of the student-centered and teacher-centered philosophy, in the present paper, we provide a literature review to explore the essential factors of teacher evaluation beliefs (why, what, who, when and how), followed by the key problems of Chinese New Curriculum Reform as “why-aim”, “what-content”, “who-student-teacher relationship”, “how-method” and “when- time”. In line with the discussion of five factors of evaluation beliefs, we proposed six perspectives to inform educational researchers for the further researches

Collaborative learning in pre-service teacher education: an exploratory study on related conceptions, self-efficacy and implementation

In this study, the actual position of collaborative learning (CL) in teacher education is examined. One hundred and twenty teacher educators and 369 student teachers are surveyed on general educational beliefs, mental models and conceptions related to CL. The self-efficacy and the implementation of CL are also taken under scrutiny. The results reveal that CL is highly valued as a teaching strategy for primary school children; however, student teachers do not prefer to collaborate themselves during their learning process. Student teachers' self-efficacy towards the use of CL is moderate. Collaborative learning is implemented once in a while in teacher education, and student teachers are not intensively trained in the pedagogical use of CL for their future classroom practice

Understanding obsessive-compulsive personality disorder in adolescence: a dimensional personality perspective

The validity of the Axis II Obsessive-Compulsive Personality Disorder (OCPD) category and its position within the Cluster C personality disorder (PDs) section of the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV, APA, 2000) continues to be a source of much debate. The present study examines the associations between general and maladaptive personality traits and OCPD symptoms, prior to and after controlling for co-occurring PD variance, in a general population sample of 274 Flemish adolescents and further explores the incremental validity of two different maladaptive trait measures beyond general traits. The results demonstrate that the number of (general and maladaptive) personality-OCPD associations decreases after controlling for a general personality pathology factor, with the FFM factor Conscientiousness and its maladaptive counterpart Compulsivity as remaining correlates of OCPD. The findings further suggest to complement the general NEO-PI-R (Costa & McCrae, 1992) scales with more maladaptive items to enable a more comprehensive description of personality pathology variance. Implications for understanding and assessing OCPD in the developmental context of adolescence are discussed

Ant colony optimisation-based radiation pattern manipulation algorithm for electronically steerable array radiator antennas

A new algorithm for manipulating the radiation pattern of Electronically Steerable Array Radiator Antennas is proposed. A continuous implementation of the Ant Colony Optimisation (ACO) technique calculates the optimal impedance values of reactances loading different parasitic radiators placed in a circle around a centre antenna. By proposing a method to obtain a suitable sampling frequency of the radiation pattern for use in the optimisation algorithm and by transforming the reactance search space into the search space of associated phases, special care was taken to create a fast and reliable implementation, resulting in an approach that is suitable for real-time implementation. The authors compare their approach to analytical techniques and optimisation algorithms for calculating these reactances. Results show that the method is able to calculate near-optimal solutions for gain optimisation and side lobe reduction

A recursive scheme for computing autocorrelation functions of decimated complex wavelet subbands

This paper deals with the problem of the exact computation of the autocorrelation function of a real or complex discrete wavelet subband of a signal, when the autocorrelation function (or Power Spectral Density, PSD) of the signal in the time domain (or spatial domain) is either known or estimated using a separate technique. The solution to this problem allows us to couple time domain noise estimation techniques to wavelet domain denoising algorithms, which is crucial for the development of blind wavelet-based denoising techniques. Specifically, we investigate the Dual-Tree complex wavelet transform (DT-CWT), which has a good directional selectivity in 2-D and 3-D, is approximately shift-invariant, and yields better denoising results than a discrete wavelet transform (DWT). The proposed scheme gives an analytical relationship between the PSD of the input signal/image and the PSD of each individual real/complex wavelet subband which is very useful for future developments. We also show that a more general technique, that relies on Monte-Carlo simulations, requires a large number of input samples for a reliable estimate, while the proposed technique does not suffer from this problem

Robust active contour segmentation with an efficient global optimizer

Active contours or snakes are widely used for segmentation and tracking. Recently a new active contour model was proposed, combining edge and region information. The method has a convex energy function, thus becoming invariant to the initialization of the active contour. This method is promising, but has no regularization term. Therefore segmentation results of this method are highly dependent of the quality of the images. We propose a new active contour model which also uses region and edge information, but which has an extra regularization term. This work provides an efficient optimization scheme based on Split Bregman for the proposed active contour method. It is experimentally shown that the proposed method has significant better results in the presence of noise and clutter