The Effect of Schools and Classes on Mathematics Achievement

In this article, the effects of secondary schools, teachers, and classes on mathematics achievement are explored. The results of multilevel analyses indicate important recruitment differences between schools and classes within schools. After controlling for this, the group composition at the class level remained very important for the explanation of differences in mathematics achievement. Also the learning climate in the class, which correlates positively with group composition, explained an additional part of the variance. The effect of other educational process variables disappeared when group composition variables were entered into the model. At the school level, the proportion of girls was positively related to mathematics achievements. Indications of differential effectiveness of classes and schools and of heteroscedasticity related to SES, average class SES, average class SES, sex, and learning climate were found.     

Questions of chemistry

The research reported here derives from the general field of learner-centred teaching and learning, with specific reference to undergraduate chemistry. It documents the use of student-generated questions as diagnostic of their willingness to engage in classroom interactions. It explores four ways of gathering students' written questions and their relative effectiveness. It examines students' capacity to design and present 'quality questions' during phases of their learning and the extent to which these questions are indicative of particular styles of interaction in the classroom, both with tutors and with other students. The results are drawn from data collected through written questions posted into a question box, the 'hits' recorded on a computer software system, and through one-to-one interviews with a sample of 32 students. The results provide an opportunity to discuss the quality of interactions within fairly formalized systems of teaching and learning of chemistry in a university setting and to suggest further research required in this field.     

Social Validity of Peer Interaction Intervention Strategies in High School Classrooms: Effectiveness,Feasibility, and Actual Use

Promoting social interaction among students with severe disabilities and their general education peers has long been a prominent focus of research and policy efforts. We asked 81 educators to evaluate the effectiveness, feasibility, and actual use of 12 intervention strategies for increasing social interaction among high school students with and without severe disabilities. Although considerable variability was evident across individual strategies, general educators, special educators, and paraprofessionals generally shared similar views regarding the acceptability of these strategies. Recommendations for developing socially valid interventions for transition-aged youth are discussed.     

Educational Television in Portugal

Educational Television is a special department of Telescola, an official institution dependent on the Instituto de Meios Audio-Visuais de Ensino (I.M.A.V.E.—Institute of Audio-Visual Aids in Education), which was created in the Portuguese Ministry of Education at the end of 1964.     

智能计算研究进展与发展趋势

智能计算技术是一门涉及物理学、数学、生理学、心理学、神经科学、计算机科学和智能技术等的交叉学科,近年来发展迅猛。本文简要介绍了智能计算的学科背景、原理和特点,评述了国际的发展现状和趋势。     

How Well Does the Sum Score Summarize the Test? Summability as a Measure of Internal Consistency

Many researchers use Cronbach's alpha to demonstrate internal consistency, even though it has been shown numerous times that Cronbach's alpha is not suitable for this. Because the intention of questionnaire and test constructers is to summarize the test by its overall sum score, we advocate summability, which we define as the proportion of total test variation that is explained by the sum score. This measure is closely related to Loevinger's H. The mathematical derivation of summability as a measure of explained variation is given for both scale and dichotomously scored items. Using computer simulations, we show that summability performs adequately and we apply it to an existing productive vocabulary test. An open‐source tool to easily calculate summability is provided online ( https://sites.google.com/view/summability ).