Movement patterns and physical strain during a novel, simulated cricket batting innings (BATEX)

A simulated cricket batting innings was developed to replicate the physical demands of scoring a century during One-Day International cricket. The simulated innings requires running-between-the-wickets across six 5-over stages, each of 21 min duration. To validate whether the simulated batting innings is reflective of One-Day International batting, movement patterns were collected using a global positioning system (GPS) and compared with previous research. In addition, indicators of physical strain were recorded (heart rate, jump heights, sweat loss, tympanic temperature). Nine club cricketers (mean ± s: age 20 ± 3 years; body mass 79.5 ± 7.9 kg) performed the simulated innings outdoors. There was a moderate trend for distance covered in the simulated innings to be less than that during One-Day batting (2171 ± 157 vs. 2476 ± 631 m · h?1; effect size = 0.78). This difference was largely explained by a strong trend for less distance covered walking in the simulated innings than in One-Day batting (1359 ± 157 vs. 1604 ± 438 m · h?1; effect size = 1.61). However, there was a marked trend for distance covered both striding and sprinting to be greater in the simulated innings than in One-Day batting (effect size > 1.2). Practically, the simulated batting innings may be used for match-realistic physical training and as a research protocol to assess the demands of prolonged, high-intensity cricket batting.     

Development of a Short-Form Measure of Science and Technology Self-efficacy Using Rasch Analysis

Despite an increased focus on science, technology, engineering, and mathematics (STEM) in U.S. schools, today’s students often struggle to maintain adequate performance in these fields compared with students in other countries (Cheek in Thinking constructively about science, technology, and society education. State University of New York, Albany, 1992; Enyedy and Goldberg 2004; Mandinach and Lewis 2006). In addition, despite considerable pressure to promote the placement of students into STEM career fields, U.S. placement is relatively low (Sadler et al. in Sci Educ 96(3):411–427, 2012; Subotnik et al. in Identifying and developing talent in science, technology, engineering, and mathematics (STEM): an agenda for research, policy and practice. International handbook, part XII, pp 1313–1326, 2009). One explanation for the decline of STEM career placement in the U.S. rests with low student affect concerning STEM concepts and related content, especially in terms of self-efficacy. Researchers define self-efficacy as the internal belief that a student can succeed in learning, and that understanding student success lies in students’ externalized actions or behaviors (Bandura in Psychol Rev 84(2):191–215, 1977). Evidence suggests that high self-efficacy in STEM can result in student selection of STEM in later educational endeavors, culminating in STEM career selection (Zeldin et al. in J Res Sci Teach 45(9):1036–1058, 2007). However, other factors such as proficiency play a role as well. The lack of appropriate measures of self-efficacy can greatly affect STEM career selection due to inadequate targeting of this affective trait and loss of opportunity for early intervention by educators. Lack of early intervention decreases selection of STEM courses and careers (Valla and Williams in J Women Minor Sci Eng 18(1), 2012; Lent et al. in J Couns Psychol 38(4), 1991). Therefore, this study developed a short-form measure of self-efficacy to help identify students in need of intervention.     

A Behind‐the‐Scenes Guide to School‐Based Research

Schools are an important context for both basic and applied scientific research. Unlike the laboratory, however, the physical and social conditions of schools are not under the exclusive control of scientists. In this article, we liken collecting data in schools to putting on a theatrical production. We begin by describing the large cast of characters whose collaborative efforts make school‐based research possible. Next, we address the critics, including the university Institutional Review Board (IRB) and school administrators, whose feedback often improves the final study design. We then turn our attention to set building, stage directions, and rehearsals—key steps in the iterative process of refining study procedures. We end with a discussion of the day of data collection itself and activities that take place after the curtain drops. Throughout, we make recommendations based on our recent experience collecting data at several high schools.     

Bodystorming Mobile Learning Experiences

Bodystorming is a technique used by designers to better understand how the settings where interactive systems are deployed might affect their intended uses. The articulation of design concepts “in the wild” and using forms of performance and improvisation are intended to help designers become more aware of contextual issues that may not be revealed in traditional brainstorming exercises. Bodystorming can be a useful technique for designers of mobile learning experiences, as it helps make interactions between learners, devices, and locations more explicit. The general method is described in this paper and followed by two case studies of its use in the design of mobile learning experiences.     

Richard Owen and the sea-serpent

The well known naturalist, Richard Owen, had a career long engagement with monstrous creatures. In the 1830s he famously christened large fossil reptiles, Dinosauria. He investigated fossil marine reptiles as well as the giant moa. He also looked into the sea-serpents and sea monsters then drawing wide public attention. He actively collected letters and analyzed correspondence on the topic, consulted with the admiralty on reports of Royal Navy encounters and sightings, and commented in the public press. He concluded that such reports were based upon misidentifications of whales and other large marine mammals, and not run-ins with mythological creatures. His work on the sea-serpent shows that rather than discount the idea out of hand, a number of high profile naturalists were intrigued by monsters and attempted to understand what they were. His work is key to understanding the skepticism over monsters held by modern mainstream science. This skepticism opened the field to later amateur investigators.