Relational identities and intergenerational learning in an undergraduate critical food studies course

Abstract

Environmental education (EE) scholars view intergenerational learning as a means to influence adult understandings of and relationships with the environment. Yet EE researchers have studied intergenerational learning in a limited fashion, with no emphasis on its role in higher education. The purpose of this article is to use feminist posthumanist theories to broadly explore intergenerational learning in critical food studies courses taught at the university level. We rely primarily on student coursework and post-course interviews as data sources that convey student perceptions of interactions with their families and the natural world, demonstrating how students develop relational identities shaped by personal experience as well as experiences in the course. To conclude, we discuss both the limitations and implications of this research for the field of EE.     

Influences on teacher education student attitudes toward youth who are HIV+

The expectations, attributions, and reactions toward children and youth who have contracted HIV/AIDS warrant close attention from parents, teachers, related service personnel, and others who will interact with these students in the schools. Those who are misinformed or unaware of their beliefs may inadvertently discriminate against children and youth with the disease. This study examined factors that influence judgments about children and youth with HIV/AIDS in a sample of teacher education students. Course of infection of HIV accounted for significant differences in the participants' judgments about responsibility and blame for contracting the disease and also fearfulness and attitudes reflecting isolation for these youth. Educational professionals should be aware of the many negative attributions placed on adolescents who are diagnosed as HIV⁺ and be prepared to act as facilitators when designing appropriate interventions to assist these students. © 2004 Wiley Periodicals, Inc. Psychol Schs 41: 211–219, 2004.     

Vocabulary Assessment of Deaf and Hard-of-Hearing Children From Infancy Through the Preschool Years

The purpose of this article is to inform researchers and practitioners about potential challenges in the selection, administration, and interpretation of results of measures of vocabulary assessment when working with deaf and hard-of-hearing children. This article reviews methods that can be used to assess vocabulary of children through the age of 5 years, including naturalistic observation, parent report measures, and standardized vocabulary tests. The authors also describe procedures to assess word-learning processes available to children to facilitate vocabulary acquisition. General cautions regarding the use of assessment tools with deaf and hard-of-hearing children are reviewed, as well as cautions for specific assessment measures. Finally, based on available research, suggestions are offered regarding what each assessment test can tell us about deaf and hard-of-hearing children's vocabulary development.     

Using Internet delivered video cases,to support pre-service teachers' understanding of effective early literacy instruction: An exploratory study

This preliminary study explores the effects ofusing CTELL (Case Technologies EnhancingLiteracy Learning) cases on preserviceteachers' learning. Students participated inone of three instructional treatments:traditional, traditional plus video, andtraditional plus CTELL cases. A pre-postconcept web, describing students' understandingof effective reading instruction, served as themajor outcome measure. This was supplementedwith a unidimensional confidence measure,journal entries, and student interviews. Nosignificant differences were found for any ofthe three treatment conditions on the conceptmapping task or the confidence measure.However, the journal entries and interview datahighlight important issues, challenges andbenefits, with respect to the use of multimediacases. Implications for teacher education areexplored.     

Multidimensional Linking: Four Practical Approaches

This paper introduces and evaluates four practical multidimensional linking procedures that are based on the theoretical framework recently proposed by Davey, Oshima, and Lee (1996): (a) the Direct method, (b) the Equated Function method, (c) the Test Characteristic Function (TCF) method, and (d) the Item Characteristic Function (ICF) method. The evaluation was conducted using simulated data. As anticipated, the competing procedures yielded different linking parameter estimates. The TCF and ICF methods were found to be more stable and recovered the true linking parameters better than the other two methods. Furthermore, all procedures were found to be acceptable under almost any of the minimization criteria and offered dramatic improvement over not linking at all. It is recommended that the choice of a linking procedure should depend on the purpose of linking.     

Psychological Expertise and the Role of Individual Differences: An Exploration of Issues

Cognitive scientists have suggested that individual differences are relatively unimportant in predicting who will become an expert in any particular domain. This stance is at variance with the admissions screening practices of graduate programs in professional psychology as well as with counseling psychology's individual differences tradition. The purpose of this article was to consider some of the issues involved on both sides of this apparent contradiction, with particular emphasis on expertise in professional psychology. I first examine some of the possible operational definitions of expertise in this domain. I then consider salient literature and conclude that there almost certainly are threshold levels of intellectual and interpersonal skills that trainees in professional psychology should have. Beyond these levels, though, it may be that motivation and persistence are the most important variables in predicting the eventual attainment of expertise in professional psychology.     

Latent Markov Factor Analysis for Exploring Measurement Model Changes in Time-Intensive Longitudinal Studies

When time-intensive longitudinal data are used to study daily-life dynamics of psychological constructs (e.g., well-being) within persons over time (e.g., by means of experience sampling methodology), the measurement model (MM)—indicating which constructs are measured by which items—can be affected by time- or situation-specific artifacts (e.g., response styles and altered item interpretation). If not captured, these changes might lead to invalid inferences about the constructs. Existing methodology can only test for a priori hypotheses on MM changes, which are often absent or incomplete. Therefore, we present the exploratory method “latent Markov factor analysis” (LMFA), wherein a latent Markov chain captures MM changes by clustering observations per subject into a few states. Specifically, each state gathers validly comparable observations, and state-specific factor analyses reveal what the MMs look like. LMFA performs well in recovering parameters under a wide range of simulated conditions, and its empirical value is illustrated with an example.     

The myth of equality in science classrooms

An analysis of the 1976-1977 NAEP survey of science attitudes showed that, by age nine, females, although expressing similar or greater desires to participate in science activities, had consistently fewer experiences in science than boys of the same age. Science activities surveyed included use of common experimental materials and instruments, observation of scientific phenomena, and field trips. At ages 13 and 17, girls again reported fewer classroom and extracurricular science activities than boys. Their responses indicated narrow perceptions of science and of the usefulness of scientific research. In addition, they displayed generally negative attitudes toward science classes and careers. Suggestions to eliminate the inequalities found are offered.