The Role of Planning Skills in the Income–Achievement Gap

The pervasive income–achievement gap has been attributed in part to deficiencies in executive functioning (EF). The development of EF is related to children's planning ability, an aspect of development that has received little attention. Longitudinal data from the National Institute of Child Health and Human Development study of early child care show that early childhood poverty (1 and 24 months) is significantly related to fifth grade, math, and reading achievement (n = 1,009). The ability to plan in Grade 3, indexed by the Tower of Hanoi task, mediates the income–achievement gap in math and to a lesser extent in reading. IQ was incorporated as a statistical control throughout.     

Speech Perception and Production by Sequential Bilingual Children: A Longitudinal Study of Voice Onset Time Acquisition

The majority of bilingual speech research has focused on simultaneous bilinguals. Yet, in immigrant communities, children are often initially exposed to their family language (L1), before becoming gradually immersed in the host country's language (L2). This is typically referred to as sequential bilingualism. Using a longitudinal design, this study explored the perception and production of the English voicing contrast in 55 children (40 Sylheti‐English sequential bilinguals and 15 English monolinguals). Children were tested twice: when they were in nursery (52‐month‐olds) and 1 year later. Sequential bilinguals' perception and production of English plosives were initially driven by their experience with their L1, but after starting school, changed to match that of their monolingual peers.     

Do monkeys choose to choose?

Both empirical and anecdotal evidence supports the idea that choice is preferred by humans. Previous research has demonstrated that this preference extends to nonhuman animals, but it remains largely unknown whether animals will actively seek out or prefer opportunities to choose. Here we explored the issue of whether capuchin and rhesus monkeys choose to choose. We used a modified version of the SELECT task—a computer program in which monkeys can choose the order of completion of various psychomotor and cognitive tasks. In the present experiments, each trial began with a choice between two icons, one of which allowed the monkey to select the order of task completion, and the other of which led to the assignment of a task order by the computer. In either case, subjects still had to complete the same number of tasks and the same number of task trials. The tasks were relatively easy, and the monkeys responded correctly on most trials. Thus, global reinforcement rates were approximately equated across conditions. The only difference was whether the monkey chose the task order or it was assigned, thus isolating the act of choosing. Given sufficient experience with the task icons, all monkeys showed a significant preference for choice when the alternative was a randomly assigned order of tasks. To a lesser extent, some of the monkeys maintained a preference for choice over a preferred, but computer-assigned, task order that was yoked to their own previous choice selection. The results indicated that monkeys prefer to choose when all other aspects of the task are equated.     

Managing Sudden Loss

Managers often face tough, emotional situations at work. One of the biggest is guiding employees and departments successfully through the loss of a coworker. Not only are there emotional components but there are also more technical and procedural responsibilities that may be overlooked. These facilities, technological, and human resources tasks need to be handled sensitively and in a timely manner. Remembering whom to contact, what property needs to be considered, and how to produce final paychecks are just a few of the concerns managers will face in a trying time. This guide aims to serve as a checklist of the basic components and tasks managers will face after the sudden loss of an employee.     

Synthesizing soft systems methodology and human performance technology

Human performance technology (HPT), like other concepts, models, and frameworks that we use to describe the world in which we live and the way we organize ourselves to accomplish valuable activities, is built from paradigms that were fresh and relevant at the time it was conceived and from the fields of study from which it grew. However, when the frameworks used by practitioners grow out of similar paradigms, important things can be missed when designing solutions in performance environments simply because of their practical limitations and exclusion of issues that may warrant our attention. This article looks at the paradigms most commonly used to explain performance environments, both within HPT and by those from other fields. From this a synthesized approach to solving perceived problems in performance environments is provided that introduces Soft Systems Methodology to the HPT practitioner, an approach built on premises very different from those commonly utilized in HPT frameworks.