Authentic student inquiry: the mismatch between the intended curriculum and the student-experienced curriculum

As a means of achieving scientific literacy goals in society, the last two decades have witnessed international science curriculum redevelopment that increasingly advocates a 'new look' inquiry-based approach to learning. This paper reports on the nature of the student-experienced curriculum where secondary school students are learning under a national curriculum that is intent on promoting students' knowledge and capabilities in authentic scientific inquiry, that is, inquiry that properly reflects that practiced by members of scientific communities. Using a multiple case study approach, this study found that layers of curriculum interpretation from several 'sites of influence' both outside and inside of the schools have a strong bearing on the curriculum enacted by teachers and actually experienced by the students, and runs counter to the aims of the national curriculum policy. Over-emphasis on fair testing limits students' exposure to the full range of methods that scientists use in practice, and standards-based assessment using planning templates, exemplar assessment schedules and restricted opportunities for full investigations in different contexts tends to reduce student learning about experimental design to an exercise in 'following the rules'. These classroom realities have implications for students' understanding of the nature of authentic scientific inquiry and support claims that school science is still far removed from real science

The Contribution of Assistant Psychologists in the UK

Within the context of changes to the model of service delivery of Educational Psychology Services in the United Kingdom (Lee & Woods, 2017), the purpose of the current review was to explore the contribution of paraprofessionals within psychological services. A Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework (Moher, Liberati, Tetzlaff, Altman, & The PRISMA Group, 2009) was used to search, screen and identify research relevant to psychology paraprofessionals. Following exploration through relevant databases, seven studies met the criteria for inclusion in the current review. The findings outlined the contribution of assistant psychologists in the UK and the potential wide remit of the role was uncovered, including contributions at a service level and direct work with service users. Key features to facilitate the successful deployment of assistants were highlighted. The association between employment as an assistant psychologist and subsequent progression into professional training was also revealed

RELIABILITY OF 3D FRONTAL PLANE KNEE AB/ADDUCTION RANGE OF MOTION DURING RUNNING IN YOUNG ATHLETES

This study quantified within-session and between-session reliability of 3D frontal plane knee ab/adduction range of motion during the stance phase of running gait calculated for 18 long term athlete development programme participants (10 males and 8 females, 11.5 ±1.4 years) during two testing sessions (spaced 10 weeks apart). Average mean differences in frontal plane knee ab/adduction between running trials (for the right or left side) within a session (week 1 or week 10) ranged from 0.2 to 7.2% (ES 0.01–0.26) which were acceptable differences. However, average mean differences between sessions for running trials (for the right or left side) ranged from 0.1 to 20% (ES 0.01–0.6). The mixed model resulted in estimates of knee ab/adduction range of motion for effects of limb side (3.6°), session (2.8°), run trial (0.2°) and subjects (4.5°). Within-session ICCs ranged from 0.80 to 0.92 and between-session ICCs ranged from 0.51 to 0.73. Based on these ICCs, within-session reliability of frontal plane knee ab/adduction is good and between-session reliability is average to good

Vertebral anomalies in retired rugby players and the impact on bone density calculation of the lumbar spine

Dual energy X-ray absorptiometry (DXA) lumbar spine bone mineral density (BMD) measurements are subject to artificial elevation in the presence of structural abnormalities that are more common with age and injury, including osteoarthritis, fracture and osteophytes. The aims of this study were to investigate the presence of vertebral abnormalities on DXA scans in retired rugby players and a nonrugby control group, and to explore the effect of vertebral exclusion on the BMD diagnostic outcome. Eigty-seven male retired rugby players and 51 non-rugby controls from the UK Rugby Health Project participated in the study. Lumbar spine, total hip and femoral neck BMD were measured by DXA and scans were analyzed pre and post exclusion of anomalous vertebrae. Data were analyzed by age group to enable application of T-scores (≥50 y) and Z-scores (<50 y). From 138 lumbar spine scans, 66 required adjustment. One hundred twenty-two vertebral exclusions were made, and 12 lumbar spine scans (10 in retired rugby athletes) were un-reportable (<2 evaluable vertebrae). Vertebral exclusion significantly lowered lumbar spine BMD across all groups (p<0.01) and lowered the overall lowest T/Z-score. This effect was more pronounced in rugby groups (age <50 y, p < 0.001; age ≥50 y, p = 0.031) than in the control groups (age <50y, p = 0.125; age ≥50 y, p = 0.250). Vertebral abnormalities detected on lumbar spine scans, were highly prevalent and impacted final the T/Z-score in this cohort of retired rugby players. Current guidelines recommend exclusion of abnormalities from lumbar spine scans in adults aged ≥50 years. Our findings suggest that vertebral exclusions should also be applied to lumbar spine scans performed in those aged <50 years, particularly in former contact sports athletes, given their high risk for vertebral deformity

'Big data' approaches for novel anti-cancer drug discovery

Introduction: The development of improved cancer therapies is frequently cited as an urgent unmet medical need. Here we review how recent advances in platform technologies and the increasing availability of biological ‘big data’ are providing an unparalleled opportunity to systematically identify the key genes and pathways involved in tumorigenesis. We then discuss how these discoveries may be amenable to therapeutic interventions. Areas covered: We discuss the current approaches that use ‘big data’ to identify cancer drivers. These approaches include genomic sequencing, pathway data, multi-platform data, identifying genetic interactions such as synthetic lethality and using cell line data. We review how big data is being used to assess the tractability of potential drug targets and how systems biology is being utilised to identify novel drug targets. We finish the review with an overview of available data repositories and tools being used at the forefront of cancer drug discovery. Expert opinion: Targeted therapies based on the genomic events driving the tumour will eventually inform treatment protocols. However, using a tailored approach to treat all tumour patients may require developing a large repertoire of targeted drugs