Analyzing a service-learning experience using a social justice lens

This mixed methods study explores a service-learning experience embedded in a social foundations course in a teacher education program. The authors differentiate learning outcomes for social justice and charity service-learning, and utilize this framework to examine whether the service-learning experience fosters a social justice perspective. The findings demonstrate that while the experience did foster social justice perspectives for some students, the data also reflect evidence of learning outcomes that align with charity service-learning.     

Unintended consequences on gender diversity of high-tech growth and labor market polarization

There has been considerable media coverage highlighting the lack of gender diversity in Silicon Valley, stressing the relatively low participation of women in the high-tech economy. Austin offers a unique case for testing whether similar gender issues characterized other high-tech regions because the city has historically benefited from the expansion of Silicon Valley’s large high-tech firms since the 1980s. The gender-biased business practices identified in Silicon Valley firms may have been transferred to their branch plants in Austin. Our analysis shows women’s losses in middle-skill occupation employment shares were concentrated in the low-tech industry and were partially offset by job share gains in high-skill occupations in the same sector between 1980 and 2015. Men’s losses in middle-skill occupation job share were also mainly concentrated in the low-tech sector but were partially offset by employment share gains in high-skill occupations only in the high-tech industry during this period. Women made large gains in relative real median wages only in high-skill occupations in the high-tech industry while their relative real median wages in other skill occupations and in the low-tech industry stagnated around zero during this period. Men’s gains in relative median wages were also concentrated only in the high-tech industry but were less than half of women’s and were negative (between ?10 and ?21 percent) in other occupations in the high-tech industry and across all occupations in the low-tech industry. As noted in previous studies, the impact of job polarization is not well understood across sectors and gender. This study finds the high-tech industry in Austin has had unintended consequences in terms of job polarization across gender, providing relatively fewer job opportunities in high-skill occupations to women than men but offering much higher gains in relative real median wages to women than men. Males also found relatively more job opportunities in high-skill occupations in the high-tech industry than women but experienced only half of women’s gains in relative median wages in this industry between 1980 and 2015.     

Kinematic differences of elite and high-performance tennis players in the cross court and down the line forehand

This study identified and compared the full body kinematics of different skill levels in the forehand groundstroke when balls were hit cross court and down the line. Forty-three three-dimensional retro-reflective marker trajectories of six elite and seven high-performance players were recorded using an eight-camera 400 Hz, Vicon motion analysis system. The six highest horizontal velocity forehands with reliable kinematics of all participants were analysed for each specific situation (a total of 156 analysed shots). Significant differences (p < 0.01) and large effect sizes were observed between elite and high-performance players in linear velocity of the shoulder (2.0 vs. 1.2 m/s), angular velocity of the pelvis (295 vs. 168 °/s), and angular velocity of the upper trunk (453 vs. 292 °/s) at impact. The elite group showed a tendency towards higher racquet velocities at impact (p < 0.05). No significant differences were found in angular displacement of the racquet, hip alignment, or shoulder alignment at the completion of the backswing; nor did angular displacement vary significantly at impact. Irrespective of the group, different shoulder, hip, and racquet angles were found at impact, depending on the situation. The results should assist coaches when striving to improve their players' forehand.     

The Swedish WAIS-R factor structure and cognitive profiles for adults with dyslexia

Factor analysis of the Swedish version of the Wechsler Adult Intelligence Scale-Revised (WAIS-R) on a group of 88 adult individuals with dyslexia showed a three-factor structure with a verbal comprehension (VC) factor, a perceptual organization (PO) factor, and a freedom from distractibility (FD) factor. The results of this factor analysis support earlier findings from factor analyses of adults in the original U.S. normative sample and in different clinical groups. The profile of scores for the sample of individuals with dyslexia showed the expected pattern, with PO highest and FD lowest. The predicted pattern was also observed using Bannatyne's recategorization of WAIS-R subtests. As has been true for other typical and exceptional samples, women scored significantly higher than men on the Digit Symbol subtest. Related to this gender difference, Digit Symbol scores proved to be sensitive to problems associated with dyslexia only for men with dyslexia. Also, education level was shown to be related to verbal (V)-performance (P) IQ discrepancy, with larger P > V differences observed for participants with fewer years of formal schooling. Regardless of these gender and education differences, the characteristic factor score and Bannatyne patterns were identified for both men and women and for three different subsamples categorized by educational level.     

Enhancing curriculum and delivery: linking assessment to learning objectives

Typical university‐wide course evaluations do not provide instructors with sufficient information on the effectiveness of their courses. This article describes a course assessment and enhancement model where student feedback can be used to improve courses and/or programs. The model employs an assessment tool that measures student perceptions of importance and their current competence in course‐specific learning objectives both pre‐ and post‐course. Information gained from this assessment enables course improvement over time and also allows for modification in delivery and/or content of the current course. This model is intended to augment traditional course evaluation mechanisms based on specific and actionable feedback on learning objectives.     

Momentum sequence and environmental climate influence levels of perceived psychological momentum within a sport competition

The present study examined the influence of momentum sequence (positive vs. negative) and environmental climate (hot–wet vs. neutral) on supporters’ (i.e. virtual observers’) reported levels of perceived psychological momentum (PM) during a simulated cycling competition. Participants supported one of two competing cyclists involved in a race that was displayed on a screen in a lecture hall. The race scenario was manipulated so that the supported cyclist appeared to undergo either a positive or negative momentum sequence. In addition, participants were either exposed to a hot–wet environmental climate or to a neutral environmental climate while observing the race scenario. According to the results, reported levels of PM were higher in the positive momentum sequence condition than in the negative momentum sequence condition, consistent with the notion that supporters’ PM is influenced by a positivity bias, and reported levels of PM were also found to be higher in the hot–wet climate condition than in the neutral climate condition, consistent with the notion that environmental climate is a contextual factor that influences PM through the operation of a causal augmenting mechanism.