Impact of Anatomy Boot Camp on Students in a Medical Gross Anatomy Course

Lincoln Memorial University‐DeBusk College of Osteopathic Medicine (LMU‐DCOM) offers an optional three‐week summer Anatomy Boot Camp course (ABC) to facilitate students' transition into medical school and promote retention of anatomy subject matter. The pre‐matriculation program is a supplemental instruction course that utilizes a small group learning format. Boot camp instruction is led by teaching assistants and two anatomy professors. Enrollees gain early exposure to Medical Gross Anatomy (MGA) course subject matter, which is taught in the fall semester, and learn study skills necessary to excel in medical school. No grade is assigned for the course, therefore participants can study without the fear of potentially affecting grades. This study evaluates the effectiveness of the LMU‐DCOM ABC course using data from four consecutive summers. Independent two‐sample t‐tests were used to compare ABC to non‐ABC students for the following variables: incoming grade point average (GPA) and Medical College Admission Test® (MCAT®) scores, MGA written and laboratory practical examination grades, and final MGA course grade. Additionally, a 26‐question survey was administered to 2012–2014 boot camp participants. There were no significant differences in incoming GPA and MCAT scores. However, boot campers scored significantly higher on the first two lecture and laboratory examinations (P < 0.05) for each year of the study. Thereafter scores varied less, suggesting a faster head start for boot camp participants. Mean MGA final grade was on average 3% higher for the boot camp cohort. The survey feedback supports that the ABC course assists with the academic and social transition into medical school. Anat Sci Educ 10: 215–223. © 2016 American Association of Anatomists.     

Conceptual change through vicarious learning in an authentic physics setting

Recent research on principles of best practice for designing effective multimedia instruction has rarely taken into account students’ alternative conceptions, which are known to strongly influence learning. The goal of this study was to determine how well students of quantum mechanics could learn ‘vicariously’ by watching a student-tutor dialogue based on alternative conceptions. Two video treatments were created to summarize key aspects of quantum tunneling, a fundamental quantum mechanical phenomenon. One video depicted a student-tutor dialogue, incorporating many of the common alternative conceptions on the topic, and resolving inconsistencies in reasoning through discussion. The other presented the same correct physics material in an expository style without alternative conceptions. Second year physics students were randomly assigned to one of the two treatments and were tested before and after watching the video during a lecture. Results show a statistically significant (p < .01) advantage for the learners in the dialogue treatment (d = 0.71). Follow-up interviews of students yielded insight into the affective and cognitive benefits of the dialogue video.     

Prediction of academic achievement with the McCarthy screening test and metropolitan readiness test

There is a need for accurate, efficient assessment of children's readiness, to provide information concerning strengths and weaknesses of children and to identify those children who may be at risk for school failure. This necessitates determining the relative usefulness of instruments in predicting later school achievement. This study examined the efficacy of the McCarthy Screening Test (MST) and Metropolitan Readiness Test (MRT) to predict academic readiness at the end of kindergarten and achievement at the end of first grade. Eighty-eight children were screened upon entering kindergarten, using the MST. As a measurement of academic readiness, the MRT was administered at the end of kindergarten, and the Scott and Foresman Achievement Test (SFAT) was administered at the end of first grade as a measure of achievement. Regression analyses indicated that the MST significantly predicted children's scores on the MRT and SFAT. Additionally, the MRT was a significant predictor of the SFAT.     

A rule induction framework for the determination of representative learning design in skilled performance

Representative learning design provides a framework for the extent to which practice simulates key elements of a performance setting. Improving both the measurement and analysis of representative learning design would allow for the refinement of sports training environments that seek to replicate competition conditions and provide additional context to the evaluation of athlete performance. Using rule induction, this study aimed to develop working models for the determination of high frequency, representative events in Australian Rules football kicking. A sample of 9005 kicks from the 2015 Australian Football League season were categorised and analysed according to the following constraints: type of pressure, kick distance, possession source, time in possession, velocity and kick target. The Apriori algorithm was used to develop two models. The first consisted of 10 rules containing the most commonly occurring constraint sets occurring during the kick in AF, with support values ranging from 0.15 to 0.22. None of the rules contained more than three constraints and confidence values ranged from 0.63 to 0.84. The second model considered ineffective and effective kick outcomes and displayed 70% classification accuracy. This research provides a measurement approach to determine the degree of representativeness of sports practice and is directly applicable to various team sports.     

The effect of acceleration signal processing for head impact numeric simulations

Brain injury research in sport employs a variety of physical models equipped with accelerometers. These acceleration signals are commonly processed using filters. The purpose of this research was to determine the effect of applying filters with different cutoff frequencies to the acceleration signals used as input for finite element modeling of the brain. Signals were generated from reconstructions of concussion events from American football and ice hockey in the laboratory using a Hybrid III headform. The resulting acceleration signals were used as input for the University College Dublin Brain Trauma Model after being processed with filters. The results indicated that using a filter with a cutoff of 300 Hz or higher had little effect on the resulting strain measures. In some cases there was some effect of the filters on the peak linear (8–30g) and rotational measures (1000–4000 rad/s²), but little effect on the finite element strain result (approximately 2–6 %). The short duration and high magnitude accelerations, such as the puck impact, were most affected by the cutoff frequency of different filters.     

The use of player physical and technical skill match activity profiles to predict position in the Australian Football League draft

This study investigated the extent to which position in the Australian Football League (AFL) national draft is associated with individual game performance metrics. Physical/technical skill performance metrics were collated from all participants in the 2014 national under 18 (U18) championships (18 games) drafted into the AFL (n = 65; 17.8 ± 0.5 y); 232 observations. Players were subdivided into draft position (ranked 1–65) and then draft round (1–4). Here, earlier draft selection (i.e., closer to 1) reflects a more desirable player. Microtechnology and a commercial provider facilitated the quantification of individual game performance metrics (n = 16). Linear mixed models were fitted to data, modelling the extent to which draft position was associated with these metrics. Draft position in the first/second round was negatively associated with “contested possessions” and “contested marks”, respectively. Physical performance metrics were positively associated with draft position in these rounds. Correlations weakened for the third/fourth rounds. Contested possessions/marks were associated with an earlier draft selection. Physical performance metrics were associated with a later draft selection. Recruiters change the type of U18 player they draft as the selection pool reduces. juniors with contested skill appear prioritised.