Self-Explanations: How Students Study and Use Examples in Learning to Solve Problems

The present paper analyzes the self-generated explanations (from talk-aloud protocols) that “Good” and “Poor” students produce while studying worked-out examples of mechanics problems, and their subsequent reliance on examples during problem solving. We find that “Good” students learn with understanding: They generate many explanations which refine and expand the conditions for the action parts of the example solutions, and relate these actions to principles in the text. These self-explanations are guided by accurate monitoring of their own understanding and misunderstanding. Such learning results in example-independent knowledge and in a better understanding of the principles presented in the text. “Poor” students do not generate sufficient self-explanations, monitor their learning inaccurately, and subsequently rely heavily on examples. We then discuss the role of self-explanations in facilitating problem solving, as well as the adequacy of current AI models of explanation-based learning to account for these psychological findings.     

Working through the Problems of Study Abroad Using the Methodologies of Religious Studies

After illustrating the joys of teaching religious studies abroad with an anecdote from my trip to China, I warn of some of its inherent pedagogical and ethical challenges. I argue that teaching some of the “new directions” in religious studies scholarship might address these challenges. These include a turning away from the abstract (texts, beliefs, theologies) and towards the concrete (bodies, places, rituals); moving away from teaching religions as unchanging, ancient verities and instead emphasizing the impact that colonialism, modernization, and secularism have had; moving from searching for authenticity to questioning it; and emphasizing methodological self‐consciousness. Keeping these new directions in mind will help ensure the study abroad experience is educationally successful. This essay serves as an introduction to a series of six additional essays comprising a special section of the journal (see Teaching Theology and Religion 18:1, January 2015).     

Women's Physiological Reactions to Physically Demanding Work

Eight females ( age = 20 yrs.) were subjects in an experiment consisting of two parts. The first part measured the maximal work capacity and peak work load on a treadmill at a speed of 8 kms (5 mph) with grade increasing 2 1/2% every 3 minutes. The second part measured energy expended on a treadmill walked under varying conditions of speed, grade, and load in an eight hour day of strenuous work. The results showed that these women were able to do strenuous work expending 2369 kcals for 8 1/2 hours. The energy expended exceeded that required for most physically demanding occupations. The results have implications for vocational choice research for women who have been excluded from occupations due to an assumed lack of strength.     

An Accuracy Based Approach to Higher Order Evidence

The aim of this paper is to apply the accuracy based approach to epistemology to the case of higher order evidence: evidence that bears on the rationality of one's beliefs. I proceed in two stages. First, I show that the accuracy based framework that is standardly used to motivate rational requirements supports steadfastness—a position according to which higher order evidence should have no impact on one's doxastic attitudes towards first order propositions. The argument for this will require a generalization of an important result by Greaves and Wallace for the claim that conditionalization maximizes expected accuracy. The generalization I provide will, among other things, allow us to apply the result to cases of self‐locating evidence. In the second stage, I develop an alternative framework. Very roughly, what distinguishes the traditional approach from the alternative one is that, on the traditional picture, we're interested in evaluating the expected accuracy of conforming to an update procedure. On the alternative picture that I develop, instead of considering how good an update procedure is as a plan to conform to, we consider how good it is as a plan to make. I show how, given the use of strictly proper scoring rules, the alternative picture vindicates calibrationism: a view according to which higher order evidence should have a significant impact on our beliefs. I conclude with some thoughts about why higher order evidence poses a serious challenge for standard ways of thinking about rationality.     

Mozambican immigrants to South Africa: Their xenophobia and discrimination experiences

We explored Mozambican immigrants’ lived experiences of xenophobia and discrimination in South Africa. Informants were 15 Mozambican immigrants (female = 7, male = 8) living in an informal settlement in Zandspruit, Gauteng Province. They completed open-ended written narratives on xenophobic and discriminatory experiences. Following thematic analysis, we identified three themes to characterise the Mozambican immigrants’ experiences of xenophobia and discrimination: (i) abusive attitudes, (ii) ethnic discrimination, and (iii) scapegoating. The Mozambican immigrants’ experiences of xenophobia and discrimination are consistent with findings from the extant international literature on ingroup/outgroup social strife with real or perceived scarcity of resources.     

Risk seeking for losses modulates the functional connectivity of the default mode and left frontoparietal networks in young males

Value-based decision making (VBDM) is a principle that states that humans and other species adapt their behavior according to the dynamic subjective values of the chosen or unchosen options. The neural bases of this process have been extensively investigated using task-based fMRI and lesion studies. However, the growing field of resting-state functional connectivity (RSFC) may shed light on the organization and function of brain connections across different decision-making domains. With this aim, we used independent component analysis to study the brain network dynamics in a large cohort of young males (N = 145) and the relationship of these dynamics with VBDM. Participants completed a battery of behavioral tests that evaluated delay aversion, risk seeking for losses, risk aversion for gains, and loss aversion, followed by an RSFC scan session. We identified a set of large-scale brain networks and conducted our analysis only on the default mode network (DMN) and networks comprising cognitive control, appetitive-driven, and reward-processing regions. Higher risk seeking for losses was associated with increased connectivity between medial temporal regions, frontal regions, and the DMN. Higher risk seeking for losses was also associated with increased coupling between the left frontoparietal network and occipital cortices. These associations illustrate the participation of brain regions involved in prospective thinking, affective decision making, and visual processing in participants who are greater risk-seekers, and they demonstrate the sensitivity of RSFC to detect brain connectivity differences associated with distinct VBDM parameters.     

The powers of noise-fitting: reply to Barth and Paladino

Barth and Paladino (2011) argue that changes in numerical representations are better modeled by a power function whose exponent gradually rises to 1 than as a shift from a logarithmic to a linear representation of numerical magnitude. However, the fit of the power function to number line estimation data may simply stem from fitting noise generated by averaging over changing proportions of logarithmic and linear estimation patterns. To evaluate this possibility, we used conventional model fitting techniques with individual as well as group average data; simulations that varied the proportion of data generated by different functions; comparisons of alternative models' prediction of new data; and microgenetic analyses of rates of change in experiments on children's learning. Both new data and individual participants' data were predicted less accurately by power functions than by logarithmic and linear functions. In microgenetic studies, changes in the best fitting power function's exponent occurred abruptly, a finding inconsistent with Barth and Paladino's interpretation that development of numerical representations reflects a gradual shift in the shape of the power function. Overall, the data support the view that change in this area entails transitions from logarithmic to linear representations of numerical magnitude.     

Religious orientation and coping with cancer

In this study we investigated the role of religious orientation in coping with stresses associated with cancer. A measure of daily coping and the Religious Orientation scale were administered to forty hematology-oncology patients in order to examine frequency of eight coping responses across religious orientations. It was found that proreligious and intrinsic participants used religion significantly more often than nonreligious and extrinsic types to cope with stresses associated with their cancer. We concluded that religious orientation and commitment influence the coping process, and suggest that religious commitment be included in studies of coping with cancer.