The Effect of Functional Flow Diagrams on Apprentice Aircraft Mechanics' Technical System Understanding

Cognitive theory suggests that a key to expert performance lies in the internal organization of the expert's knowledge. The authors contend that the type of technical illustration used during instruction influences knowledge organization and greatly impacts students' understanding of the content. This paper describes an experimental study that tested the impact of one type of conceptual illustration on students' understanding of the structure, function, and behavior of complex technical systems. The results show that supplementing traditional technical instruction with functional flow diagrams can improve overall system understanding. The functional flow diagrams were also found to be an effective instructional aid for enhancing students' conceptual understanding of the causal behavior of systems. In addition, the use of the functional flow diagram was found to significantly improve the subjects' ability to construct conceptual models that were similar to those of an expert. The implications of using conceptual diagrams for technical instruction are discussed and recommendations for future research in this area are provided.     

Empowerment: In Search of a Viable Paradigm

The word “empowerment” is associated with several different and fundamentally inadequate paradigms. This paper presents an alternative, empowering view of empowerment. The essence of empowerment is increasing the behavior potential of persons, individually and in groups and organizations. Behavior potential is not some abstract concept of “what a person might do if” Instead, it is the totality of behaviors that are actually available to a given person in a given environment. These behaviors do not occur in a vacuum; behavior potential is the intersection of the person's behavioral productions with the organization's expectations and permissions. An individual is empowered to the extent that he or she possesses a rich repertoire of behaviors and is expected and permitted to make full use of this repertoire by the organization.     

Factors associated with school psychologists' perceptions of campus violence

Recent concern about school violence has increased demands on school psychologists to respond to safety concerns on their school campuses. In this study, 123 school psychologists responded to a survey about their perceptions, experiences, and readiness to meaningfully address school violence. School psychologists reported that they do not worry about their personal safety at school (78%), but most felt unprepared to deal with school violence (73%) and had received no specialized training in this area (85%). A principal components analysis of the types of violence school psychologists perceived to occur on their campuses identified a range of incidents from bullying to antisocial behavior. School psychologists working in inner-city schools were more likely to believe that their schools had high levels of violence (45.6%) compared with those working in urban-not inner-city (14.3%), suburban (4.9%), or rural (0%) schools. Recommendations to prepare school psychologists to help prevent, reduce, and respond to campus violence are discussed. © 1996 John Wiley & Sons, Inc.     

Analyzing and Selecting Instructional Strategies and Tactics

“Formulation of instructional strategy to match subject matter and learner requirements” is an integral part of most instructional design models (Andrews & Goodson, 1980, p.5). Yet the meaning and purpose of instructional strategies in these design models vary considerably. An instructional strategy in traditional design models usually refers to the selection of instructional delivery vehicles (e.g., lecture, demonstration, computer-assisted instruction) and support activities (e.g., practice exercises, tutoring) (cf. Tracey, Flynn, <& Legere, 1970). Contrast those conceptions with the many instructional strategies described in elaboration theory (Reigeluth & Stein, 1983), such as sub-sumptive sequencing, internally consistent orienting structures, synthesizers, summarizers, and cognitive strategy activators. What is obvious from these disparate conceptions is that instructional designers do not share a consistent definition of instructional strategies. Many of the activities that are referred to as instructional strategies are not in fact strategies, but rather are presentation vehicles. In this article, we first define instructional strategies and tactics in the context of an iterative design model. Instructional strategies are then distinguished from instructional tactics, which are the implementation of strategies. We then list the range of instructional strategies and tactics that implement them. Finally, we provide a decision tree for assisting designers to select appropriate instructional tactics.     

Conjoint analyses of the students' life satisfaction scale and the Piers-Harris self-concept scale

This study investigated the convergent and discriminant relationships between a children's life satisfaction measure, the Students' Life Satisfaction Scale (SLSS; Huebner, 1991a), and a widely used self-concept measure, the Piers-Harris Self-Concept Scale (Piers, 1984). Correlational and regression analyses demonstrated stronger relationships between the SLSS and the Piers-Harris Happiness and Satisfaction subscale compared to the other Piers-Harris subscales. The results of a conjoint principal components analysis also revealed predictable overlap between the SLSS and the Piers-Harris Happiness and Satisfaction subscale. Implications for future research are discussed.     

Responses to oral glucose challenge differ by physical activity volume and intensity: A pilot study

BackgroundOne-hour postprandial hyperglycemia is associated with increased risk of type 2 diabetes and cardiovascular disease. Physical activity (PA) has short-term beneficial effects on post-meal glucose response. This study compared the oral glucose tolerance test results of 3 groups of people with habitually different levels of PA.MethodsThirty-one adults without diabetes (age 25.9 ± 6.6 years; body mass index 23.8 ± 3.8 kg/m²; mean ± SD) were recruited and divided into 3 groups based on self-reported PA volume and intensity: low activity < 30 min/day of moderate-intensity activity (n = 11), moderately active ≥ 30 min/day of moderate-intensity PA (n = 10), and very active ≥ 60 min/day of PA at high intensity (n = 10). Participants completed an oral glucose tolerance test (50 g glucose) with capillary blood samples obtained at baseline, 15 min, 30 min, 45 min, 60 min, 90 min, and 120 min post-ingestion.ResultsThere were no significant differences between groups for age or body fat percentage or glycated hemoglobin (p > 0.05). The groups were significantly different in terms of baseline glucose level (p = 0.003) and, marginally, for gender (p = 0.053) and BMI (p = 0.050). There was a statistically significant effect of PA on the 1-h postprandial glucose results (p = 0.029), with differences between very active and low activity groups (p = 0.008) but not between the moderately active and low activity groups (p = 0.360), even when baseline glucose level and gender differences were accounted for. For incremental area under the curve there was no significant effect of activity group once gender and body fat percentage had been accounted for (p = 0.401). Those in the low activity group took 15 min longer to reach peak glucose level than those in the very active group (p = 0.012).ConclusionThe results suggest that high levels of PA have a beneficial effect on postprandial blood glucose profiles when compared to low and moderate levels of activity.