Attainment of skill in using science processes. I. Instrumentation,methodology and analysis

Instrumentation, methodology, and analysis techniques were developed to measure changes in adolescent skills in the estimation of linear distance. Microcomputers were used to present and control the amount of information available to assist students in estimation. Three different levels of difficulty in estimating were developed and students estimated ten positions of a point on a vertical line within each level of difficulty. Strategies used by students to estimate were found, and a model was developed using regression analysis to allow for the separation of variance of trend and individual skill differences. This model was used to predict decreases in number of estimates and decreases in average time per estimate. The number of estimates per position decreased rapidly and a limit was soon achieved. Thus average time per estimate was used as a measure of skill. Students improved performance within the first two levels, but not within the most difficult level. Across levels, average performance improved in spite of increasing difficulty, and a transfer effect appeared to occur over time. It was concluded that micro-computers were a valuable instrument for gathering and recording data. The model using regression analysis was an effective tool to study estimation. Students used effective strategies and improved their estimation skill quickly. Learning did occur, but the level of difficulty of information or practice effect available while solving an estimation problem may limit the extent of improvement.     

The influence of occupational socialisation upon the teaching of pupils experiencing social and emotional behavioural difficulties (SEBD) in physical education

Research within physical education (PE) utilising the occupational socialisation framework indicates that the childhood phase of socialisation is the most powerful phase of socialisation. However, for most teachers working with pupils experiencing special educational needs (SEN), the childhood phase often lacks direct experience of SEN and thus ceases to exist as a socialising force. Consequently, the higher education and workplace phases form a ‘salvaged’ phase upon which to base pedagogical approaches (Pugach). In light of this dichotomy, the aims of this case study were to (1) examine how one PE head of department (HOD) in a specialist social and emotional behavioural difficulties (SEBD) school taught year 9 pupils games; (2) identify factors that led to such instruction and (3) consider the influence of the three phases of occupational socialisation on her pedagogical approaches. Data collection methods consisted of formal and informal interviews and lesson observations. The data were inductively analysed, and themes were drawn from this process. Using a systematic learning approach, lessons were game orientated based around pupil decision‐making and limited technical practice. Factors influencing this practice were her exploratory outdoor activity experiences and the nature of the pupils. In contrast to Pugach, this research indicates that the childhood phase of socialisation can provide an ‘apprenticeship of observation’ for those teaching PE to pupils experiencing SEBD. That such perceptions can be strongly held suggests that prior examination of the childhood biographies of those recruited to PE teacher training and/or PE teachers teaching pupils who experience SEBD appears warranted.     

A Model of Factors Contributing to STEM Learning and Career Orientation

The purpose of this research was to develop and test a model of factors contributing to science, technology, engineering, and mathematics (STEM) learning and career orientation, examining the complex paths and relationships among social, motivational, and instructional factors underlying these outcomes for middle school youth. Social cognitive career theory provided the foundation for the research because of its emphasis on explaining mechanisms which influence both career orientations and academic performance. Key constructs investigated were youth STEM interest, self-efficacy, and career outcome expectancy (consequences of particular actions). The study also investigated the effects of prior knowledge, use of problem-solving learning strategies, and the support and influence of informal educators, family members, and peers. A structural equation model was developed, and structural equation modeling procedures were used to test proposed relationships between these constructs. Results showed that educators, peers, and family-influenced youth STEM interest, which in turn predicted their STEM self-efficacy and career outcome expectancy. STEM career orientation was fostered by youth-expected outcomes for such careers. Results suggest that students’ pathways to STEM careers and learning can be largely explained by these constructs, and underscore the importance of youth STEM interest.     

Institute notes

International Review of Education -     

Characterization of human genetics courses for nonbiology majors in U.S. colleges and universities

We characterized college human genetics courses for nonscience majors (NSM) by 1) determining the number of U.S. institutions offering courses and the number of students taking them; and 2) surveying course instructors on course demographics, content, materials, and pedagogies. Between 2002 and 2004, an estimated 480 institutions of higher education (15.2%) offered a course: 8.4% of 1667 associate colleges, 16.1% of baccalaureate institutions, 25.3% of master's institutions, and 32.9% of doctoral institutions. This indicates a need to increase access to genetics education in 2-yr colleges. Based on instructor responses, approximately 32,000–37,000 students annually complete an NSM human genetics course out of approximately 1.9 million students earning a college degree each year (2.0%). Regarding course content, instructors consistently rated many concepts significantly higher in importance than the emphasis placed on those concepts in their courses. Although time could be a factor, instructors need guidance in the integration of the various concepts into their courses. Considering only 30.2% of the instructors were reportedly trained in genetics (another 25.4% in molecular and cellular biology) and the small fraction of students completing NSM human genetics courses, these results demonstrate the need for increasing the availability of these courses in undergraduate institutions of higher education, and particularly at 2-yr colleges.     

Effects of caffeine chewing gum on race performance and physiology in male and female cyclists

This investigation reports the effects of chewing caffeinated gum on race performance with trained cyclists. Twenty competitive cyclists completed two 30-km time trials that included a maximal effort 0.2-km sprint each 10-km. Caffeine (~3–4 mg · kg^?1) or placebo was administered double-blind via chewing gum at the 10-km point following completion of the first sprint. Measures of power output, oxygen uptake, heart rate, lactate and perceived exertion were taken at set intervals during the time trial. Results indicated no substantial differences in any measured variables between caffeine and placebo conditions during the first 20-km of the time trial. Caffeine gum did however lead to substantial enhancements (mean ± 90% confidence limits (CLs)) in mean power during the final 10-km (3.8% ± 2.3%), and sprint power at 30-km (4.0% ± 3.6%). The increases in performance over the final 10-km were associated with small increases in heart rate and blood lactate (effect size of 0.24 and 0.28, respectively). There were large inter-individual variations in the response to caffeine, and apparent gender related differences in sprint performance. Chewing caffeine gum improves mean and sprint performance power in the final 10-km of a 30-km time trial in male and female cyclists most likely through an increase in nervous system activation.     

The relationship between game-based performance indicators and developmental level in junior Australian football: Implications for coaching

Identifying performance differences between juniors at different stages of a talent pathway may assist with the development of prospective talent. This study investigated the relationship between game-based performance indicators and developmental level in junior Australian football (AF). Players were categorised into 2 groups according to developmental level; U16 and U18. Physical and technical skill performance indicators were collated for all U16 (n = 200) and U18 (n = 244) participants of their respective 2014 national championships. Data were acquired from all 28 games (12 U16, 16 U18); resulting in 1360 player observations (568 U16, 792 U18). Microtechnology and a commercial provider facilitated the quantification of 15 performance indicators. Generalised estimating equations (GEEs) modelled the extent to which these performance indicators were associated with developmental level. The GEE model revealed that “contested marks” and “contested possessions” had the strongest association with the U16 level, while “total marks” and “clearances” had the strongest association with the U18 level. The remaining performance indicators were not developmentally discriminant. These results indicate that there are distinctive features of gameplay more associated with the U16 and U18 levels in AF. Coaches may wish to consider these results when constructing training drills designed to minimise developmental gaps.     

Precision Teaching and Direct Instruction: Measurably Superior Instructional Technology in Schools

Although educators, policy-makers, business leaders, and the general public have become increasingly concerned about the “basic skills” crisis in American schools, research-based solutions have existed for over two decades in the form of measurably superior teaching methodologies: Precision Teaching and Direct Instruction. In federally validated research, each of these instructional technologies has been shown to produce far greater achievement and self-esteem among students than more traditional teaching practices, with favorable cost-benefit ratios when implemented in schools. These results have been obtained despite adverse socio economic influences on students so of ten blamed for failure in the classroom. These methods have not been widely adopted, partly due to political and philosophical resistance to measurably superior instructional technology among educators. This article provides overviews of Precision Teaching and Direct Instruction, discusses their origins and research backgrounds, cites effec tiveness data, and describes how they can complement one another when used together. It provides sufficient references to the literature and pointers to existing programs to enable interested readers to learn more about each of these measurably superior educational solutions.     

Promoting HPT Innovations A Return to Our Natural Science Roots

The core innovations represented by the field of Human Performance Technology (HPT) trace their origins, by way of Programmed Instruction, to the field of Behavior Analysis, a natural science methodology for the study of behavior developed by B.F. Skinner. This methodology, like all experimental natural science, rests on a foundation of functional analysis and standard units of measurement. Functional analysis is basic experimental method, whereby the investigator or practitioner keeps all but one variable constant, changes the variable in question (an “intervention”), and measures the effect on other variables. Behavior Analysis, like HPT, emphasizes prediction and control of individual behavior rather than determination of average effects across groups of individuals. In order for HPT to support and encourage greater and more effective innovation, it must re-emphasize reliance on standard units of measurement and functional analysis and promote policies and procedures that increase variation of interventions. The combination of encouraging variation and selecting interventions by means of functional analysis and objective measurement will ensure steady, reliable progress in Human Performance Technology.