MILO: Models of innovation in learning online at Key Stage 3 and 14-19: Final report executive summary

This summary report presents and analyses the key findings from eight case studies, which reflect a wide range of models of online learning, each of which has been developed for specific reasons, largely in relation to visions of how technology can transform learning, but also to solve practical problems such as re-engaging disaffected learners and coping with rising pupil numbers

MILO: Models of innovation in learning online at Key Stage 3 and 14-19: Final report appendices

This document contains the appendices to the main report, which presents case studies, which reflect a wide range of models of online learning, each of which has been developed for specific reasons, largely in relation to visions of how technology can transform learning, but also to solve practical problems such as re-engaging disaffected learners and coping with rising pupil numbers

MILO: Models of innovation in learning online at Key Stage 3 and 14-19: Final report

The report presents and analyses eight case studies, which reflect a wide range of models of online learning, each of which has been developed for specific reasons, largely in relation to visions of how technology can transform learning, but also to solve practical problems such as re-engaging disaffected learners and coping with rising pupil numbers

Effectiveness of Bimodal Versus Unimodal Alerts for Distracted Drivers

Twenty-two participants drove a simulated vehicle while engaged in a low or high working memory load task and responded to signals presented in auditory, visual and tactile modalities or their bimodal combinations by pressing on the brake. Signals were designed to be of low or high urgency in both unimodal and bimodal combinations. High urgency and bimodal signals were responded to faster than their low urgency and unimodal counterparts. Fewer bimodal signals were missed overall. This bimodal advantage was particularly significant relative to unimodal signals of low urgency in the high working memory load condition. Together these results indicate that hazard mapping can most effectively be obtained by designing with both the perceived urgency level of the signal and modal plurality in mind

Twelve (not so) angry men: jurors work better in small groups. Lorraine Hope and Bridget Waller propose a simple modification to jury deliberations

Twelve-person juries are often regarded as one of the cornerstones of democracy. In the UK, the right to a trial by jury is considered an important feature of the criminal justice system. Indeed, it has been rated as more important than a number of other rights, including the right to protest against the government, the right not to be detained for an extended period without charge and the right to free speech in public (Roberts and Hough, 2009). The public also trusts juries comprising randomly selected ordinary people and relies on the contribution of 12 individuals to eliminate bias and prejudice from the decision making process

GPs’ experiences of children with anxiety disorders in primary care: a qualitative study

Background: Anxiety disorders have a median age of onset of 11 years and are the most common emotional disorders in childhood, however a significant proportion of those affected do not access professional support. In the UK, General Practitioners (GPs) are often the first medical professional that families see so are in a prime position to support children with anxiety disorders; however, currently there is little research available on GPs’ perspectives and experiences of supporting children with these disorders. Aim: To explore the experiences of GPs in relation to identification, management, and access to specialist services for children (< 12 years) with anxiety disorders Design and Setting: 20 semi-structured interviews were conducted with GPs in Primary Care throughout England, reflecting a diverse group in relation to the ethnic and socio-economic profile of registered patients, GP age, gender, professional status, previous engagement with research, and practice size and location. Method: Purposive sampling was used to recruit GPs until theoretical saturation was reached. Data was analysed using a constant comparative method of Thematic Analysis. Results: Data was organised into three themes; decision making, responsibility and emotional response, with an over-arching theme of GPs feeling ill-equipped. These themes were retrospectively analysed to illustrate their role at different stages in the primary care process (identification, management, and access to specialist services). Conclusion: GPs feel ill-equipped to manage and support childhood anxiety disorders, demonstrating a need for medical training to include greater emphasis on children’s mental health, as well as potential for greater collaboration between primary and specialist service

Patients' reports or clinicians' assessments: Which are better for prognosticating?

BACKGROUND: The Prognosis in Palliative care Scale (PiPS) predicts survival in advanced cancer patients more accurately than a doctor's or a nurse's estimate. PiPS scores are derived using observer ratings of symptom severity and performance status. The purpose of this study was to determine whether patient-rated data would provide better prognostic estimates than clinician observer ratings. PATIENTS AND METHODS: 1018 subjects with advanced cancer no longer undergoing tumour-directed therapy were recruited to a multi-centre study. Prognostic models were developed using observer ratings, patient ratings or a composite method that used patient ratings when available or else used observer ratings. The performance of the prognostic models was compared by determining the agreement between the models' predictions and the survival of study participants. RESULTS: All three approaches to model development resulted in prognostic scores that were able to differentiate between patients with a survival of 'days', 'weeks' or 'months+'. However, the observer-rated models were significantly (p<0.05) more accurate than the patient-rated models. CONCLUSIONS: A prognostic model derived using observer-rated data was more accurate at predicting survival than a similar model derived using patient self-report measures. This is clinically important because patient-rated data can be burdensome and difficult to obtain in patients with terminal illnesses

Adapting for Scalability: Automating the Video Assessment of Instructional Learning

Although scalable programs, such as online courses, have the potential to reach broad audiences, they may pose challenges to evaluating learners’ knowledge and skills. Automated scoring offers a possible solution. In the current paper, we describe the process of creating and testing an automated means of scoring a validated measure of teachers’ observational skills, known as the Video Assessment of Instructional Learning (VAIL). Findings show that automated VAIL scores were consistently correlated with scores assigned by the hand scoring system. In addition, the automated VAIL replicated intervention effects found in the hand scoring system. The automated scoring technique appears to offer an efficient and reliable assessment. This study may offer additional insight into how to utilize similar techniques in other large-scale programs and interventions