Elementary teachers' attitudes toward preassessment procedures

A questionnaire assessing their attitudes toward preassessment procedures was mailed to 300 elementary teachers; a 70% return rate was achieved. A 3 × 2 analysis of variance yielded main effects for years of experience and referral history. Teachers with more than 6 years of experience had significantly more negative attitudes toward preassessment than did teachers with less than 2 years of experience. Teachers who had made referrals to a preassessment team had significantly more negative attitudes than teachers who had no history of referrals to preassessment teams. Suggestions for modifying the preassessment process are offered.     

Using New Technology to Improve Assessment

What are the areas of testing that will be most affected by new technology" Who is doing work on the cutting edge of these areas" What will be the ultimate effect of these innovations"     

Evaluating the TD model of classical conditioning

The temporal-difference (TD) algorithm from reinforcement learning provides a simple method for incrementally learning predictions of upcoming events. Applied to classical conditioning, TD models suppose that animals learn a real-time prediction of the unconditioned stimulus (US) on the basis of all available conditioned stimuli (CSs). In the TD model, similar to other error-correction models, learning is driven by prediction errors-the difference between the change in US prediction and the actual US. With the TD model, however, learning occurs continuously from moment to moment and is not artificially constrained to occur in trials. Accordingly, a key feature of any TD model is the assumption about the representation of a CS on a moment-to-moment basis. Here, we evaluate the performance of the TD model with a heretofore unexplored range of classical conditioning tasks. To do so, we consider three stimulus representations that vary in their degree of temporal generalization and evaluate how the representation influences the performance of the TD model on these conditioning tasks.     

Searching for ‘a third space’: a creative pathway towards international PhD students’ academic acculturation

Undertaking a PhD is a challenging endeavour. Pursuing a doctoral education in a ‘foreign’ context tends to increase the demands of this intellectual venture. The nature of research-based PhD programmes, often characterised by a lack of formal curricula where academic supervision lasts several years, may add another layer of complexity. Drawing upon an extended version of Urie Bronfenbrenner's bio-ecological theory of human development, this paper attempts to offer a greater understanding of both academic and non-academic concerns confronting international PhD students with a view to highlighting their implications for institutional policy and practice. Underpinned by a visual metaphor approach, our research findings advocate embedding the use of ‘a third space’ as a creative pathway and strategy for maximising students’ chances of achieving a successful PhD academic acculturation journey.     

Detecting bias in selection for higher education: three different methods

This study examined selection bias in Israeli university admissions with respect to test language and gender, using three approaches for the detection of such bias: Cleary’s model of differential prediction, boundary conditions for differential prediction and difference between d’s (the Constant Ratio Model). The university admissions process in Israel, like those in many countries, is based on a combination of school-related achievement and a general scholastic aptitude test. The selection process was found to be biased in favour of Arabic speakers and not biased with respect to gender. The three approaches for detecting selection bias were similar in the pattern of the results they produced, but differed, as expected, in the magnitude of the bias they detected. The discussion focuses on the results both with respect to the specific groups studied (first research question) and with respect to the three approaches for detecting selection bias (second research question).     

The Private Voice: Homeschooling,Hannah Arendt,and Political Education

What becomes of the political orientation of American education when children are educated in the home rather than in public schools? Homeschooling critics raise concerns over the larger consequences: political exit and even indoctrination. Drawing on a recent study of 62 interviews with 35 homeschooling families in 11 states in the USA, we offer a theoretical argument grounded in empirical observations and perceptions of homeschoolers themselves. Using the work of political theorist Hannah Arendt as a guide, we suggest that, contrary to critics’ claims of political exit over voice, homeschooling may provide the opportunity for some families to respond with a “private voice” that is politically robust because it is intentionally subversive to a (perceived) homogenous dominant culture. We thus argue that some homeschoolers offer an understanding of private life that is political without being “public,” and that they reconcile this irony by attempting to cultivate reflexive “thinking” in their children regarding questions of conformity, materialism, and plurality.     

Validity and Automad Scoring: It's Not Only the Scoring

What are the validity issues involved in automated scoring of tests? What is the nature of the interplay among construct definition, task design, examinee interface, tutorial, test development tools, and automated scoring and reporting?