Learning Physics in Context: A study of student learning about electricity and magnetism

This paper re‐centres the discussion of student learning in physics to focus on context. In order to do so, a theoretically motivated understanding of context is developed. Given a well‐defined notion of context, data from a novel university class in electricity and magnetism are analysed to demonstrate the central and inextricable role of context in student learning. This work sits within a broader effort to create and analyse environments that support student learning in the sciences.     

A Survey of Jewish Day Schools in America

It is Only in recent years that the systematic study of Jewish educational systems, particularly in a global context, has become a subject of serious concern. Since 1945 a succession of education conferences and surveys provides evidence of an awareness that the future of World Jewry—in Israel as well as the Diaspora—is inextricably linked with the future of its educational institutions. The World Conference on Jewish Education in Jerusalem in 1962 and the subsequent formation two years later of the World Council on Jewish Education are but two examples of this awareness. The establishment of a Center for Jewish Education in the Diaspora at the Hebrew University in Jerusalem marks a further practical step toward attaining some form of coordination on the part of world Jewry.     

Challenging the Gaze: The Subject of Attention and a 1915 Montessori Demonstration Classroom

The child's attention, how this attention is reasoned about, and how attention works as a surface for pedagogical intervention are central to understanding modern schooling. This article examines "attention" as an object of knowledge related to the organization and management of individuals. I address what we might learn about attention by studying one specific Montessori classroom, the glass‐walled public demonstration set up at the 1915 San Francisco World's Fair. The pedagogy of attention on display and the spectatorship of the classroom provide an opportunity to rethink how power and subjectivity play in the formation of human attractions. I argue that thinking through Montessori offers important and relevant suggestions for present-day examinations of attention. The 1915 demonstration classroom can help us theorize the relation of attention to normalizing and governmentalizing practices. This specific study of how attention operates in one locale has implications for tactile learning theories and for the analytics of power to be used in studies of attention.     

Student teachers' attitudes and beliefs towards using ICT within inclusive education and practice

The areas of education inclusion and digital inclusion have recently received growing interest from the research community while addressing the wider concern of social inclusion, but little research has been carried out exploring the relationship between the two areas. Central to both areas, this paper presents a study that investigated student teachers' attitudes towards using Information and Communication Technology (ICT) for equality as part of inclusive education and practice, and explored the extent to which it is important that student teachers are prepared for both education and digital inclusion. The study focused on the attitudes of student teachers who had taken a new reformed course on inclusive education and practice within a Scottish University. Results from the study showed that student teachers' attitudes towards using ICT for teaching and learning were strongly positive, and were also strongly positive towards inclusive education. Their attitudes towards inclusive practice and using ICT for inclusive practice were slightly less positive. This seemed to result in ICT being used less in terms of inclusive education and more from the perspective of accessibility to the curriculum. The study provided evidence that the impact of ICT as part of inclusive practice is not well understood by student teachers and that student teachers' attitudes towards digital equality do not feature highly in inclusive practices. Consequently, greater attention to ways in which ICT is used for inclusive purposes is needed in Initial Teacher Education and in education policies in order to improve student teachers' preparedness for education inclusion.     

Efficacy beliefs,job satisfaction,stress and their influence on the occupational commitment of English-medium content teachers in the Dominican Republic

The purpose of the present study was to investigate the effects of efficacy, job satisfaction, job stress and their influence on the occupational commitment of English-medium content teachers. A total of 109 practicing English-medium and Spanish-medium content teachers from the Dominican Republic volunteered to participate in the study. Findings suggest both teacher self-efficacy and collective efficacy measures were inversely but significantly correlated with occupational commitment and positively correlated with job satisfaction. The results also showed significant differences between English-medium and Spanish-medium content teachers’ self-efficacy, job satisfaction, job stress and occupational commitment. These findings have significant implications for advancing theory and practice. Recommendations for further research are discussed.     

Intelligent and adaptive tutoring for active learning and training environments

Active learning facilitated through interactive and adaptive learning environments differs substantially from traditional instructor-oriented, classroom-based teaching. We present a web-based e-learning environment that integrates knowledge learning and skills training. How these tools are used most effectively is still an open question. We propose knowledge-level interaction and adaptive feedback and guidance as central features. We discuss these features and evaluate the effectiveness of this web-based environment, focusing on different aspects of learning behaviour and tool usage. Motivation, acceptance of the approach, learning organisation and actual tool usage are aspects of behaviour that require different evaluation techniques to be used.     

Caught inside the black box: Criminalization,opaque technology,and the New York subway MetroCard

Abstract

This article investigates how an account of hidden, internal properties of an everyday technology became a framework to interpret human action as a serious crime. Using a case study situated in the New York subway system, I examine the criminalization of a practice of New York’s poor known as “selling swipes” performed by so-called “swipers”. A high court came to classify the practice as felony forgery, interpreting it though an expert-witness account of how objects physically manipulated by swipers interact with a secretive, proprietary digital information system. Thousands of felony arrests – overwhelmingly of nonwhite men – have been legitimated under this theory, in which the crime occurs on a plane of technical interactions to which swipers have no access. Through close examination of the underlying technology (known as MetroCard), however, I show considerable problems in the authorities’ understanding of the technology, illustrating the hazards of interpreting human action through proprietary or complex systems, especially as they are represented solely through expert accounts. The case demonstrates fresh connections between technology and unequal outcomes in the U.S. criminal justice system, and suggests an emerging form of social vulnerability, to interpretations of our actions through the logic of technologies black-boxed to us.     

Multiple linear regression: Identify potential health care stocks for investments using out-of-sample predictions

College-level statistics courses emphasize the use of the coefficient of determination, R-squared, in evaluating a linear regression model: higher R-squared is better. This often gives students an impression that higher R-squared implies better predictability since textbooks tend to use sample data to support the theory and students rarely have an opportunity to work on real data. In this paper, health care stocks are used as predictors and the result demonstrates that high R-squared does not necessarily mean high predictability and that multiple linear regression can be used in the study of data behavior. In particular, by learning the pattern of the near and far out-of-sample-prediction errors for different time periods throughout a dataset, the near out-of-sample prediction errors can be used to control the prediction errors and identify a subset of predictors that can well reflect the trend of S&P 500.