Using electronic portfolios

The digitized collections of artifacts known as electronic portfolios are creating solutions to a variety of performance improvement needs in ways that are cost‐effective and improve both individual and group learning and performance. When social media functionality is embedded in e‐portfolios, the tools support collaboration, social learning, collection and sharing of best practices, and coaching. By eliminating the constraints of time and geography, electronic portfolios can support organizations' performance management and talent management strategies.     

Child maltreatment, subsequent non-suicidal self-injury and the mediating roles of dissociation, alexithymia and self-blame

ObjectiveAlthough child maltreatment is associated with later non-suicidal self-injury (NSSI), the mechanism through which it might lead to NSSI is not well understood. The current retrospective case–control study examined associations between child maltreatment and later NSSI, and investigated the mediating roles of dissociation, alexithymia, and self-blame.MethodsParticipants were 11,423 Australian adults (response rate 38.5%), randomly selected from the Australian Electronic White Pages, aged between 18 and 100 (M = 52.11, SD = 16.89), 62.2% female. Data were collected via telephone interviewing. Main outcome measures were reported history of child maltreatment (sexual abuse, physical abuse, neglect) and reported 12-month NSSI. Dissociation, alexithymia, and self-blame were examined as potential mediating variables in the relationship between child maltreatment and later NSSI. All analyses were conducted using logistic regression and adjusted for age and psychiatric diagnosis.ResultsResults differed by gender. Compared to no child maltreatment, physical abuse (OR 2.75, 95% CI 1.68–4.51) and neglect (OR 2.56, 95% CI 1.65–3.99) independently increased the odds of NSSI among females. Physical abuse (OR 2.69, 95% CI 1.44–5.03) increased the odds of NSSI among males. Sexual abuse did not independently increase the odds of NSSI for males or females. For females, self-blame had the greatest effect on the child maltreatment–NSSI relationship (OR decreased by 14.6%, p < .000), although dissociation and alexithymia also partially mediated the relationship. For males, dissociation had the greatest effect (OR decreased by 12.9%, p = .003) with self-blame also having a relatively strong effect.ConclusionsThe results indicate that child maltreatment, and in particular, physical abuse, is strongly associated with the development of subsequent NSSI and may be partially mediated by dissociation, alexithymia, and self-blame for females and dissociation and self-blame for males. Altering attributional style (through cognitive therapy or emotion focussed therapy) and improving the capacity to regulate emotions (through dialectical behaviour therapy) may contribute to reduction or cessation of NSSI.     

A real-time biomechanical feedback system for training rowers

A system was developed that quantifies rowing mechanics while an athlete trains on a rowing ergometer. The system consists of a Concept II rowing ergometer instrumented with a load cell and a series of potentiometers, a data acquisition computer and custom software. Kinematic and kinetic rowing data are displayed in the form of a two-dimensional stick figure animation, overlaid with kinematic and kinetic profiles. The software allows data to be saved and later replayed. Static and dynamic error analyses were performed to determine the accuracy and limitations of the system. Static measurements compared joint locations predicted by the RowTrainer system with values measured directly. Average static joint position errors ranged from 2 mm to −25 mm, with a typical joint location error being 10 mm. Using three-dimensional motion analysis, both dynamic and static error analyses were conducted. Average dynamic joint errors ranged from ±1 mm to −44 mm, with typical errors on the order of ±10 mm. Errors in joint positions resulted in average knee and hip joint angle errors of 9.6° and 5.8°, respectively. Additionally, the average handle horizontal velocity error during the drive phase was −1.8%.