Assessment: New Ways of Pupil Evaluation Using Real Data

Typically, external assessment of school statistics concentrates on lower–level skills. This article discusses how use of the real data of CensusAtSchool makes it possible to devise questions and activities that assess deeper levels of understanding, as described in Bloom’s Taxonomy of Cognitive Learning.     

Student perceptions of their learning and engagement in response to the use of a continuous e-assessment in an undergraduate module

Student engagement is an important issue in higher education, and is related to the quality of the student experience. Increasing student engagement is one way of enhancing quality at a higher education institution. An institution is able to influence student engagement in a number of ways, one being through curriculum design. The use of a low-stakes continuous weekly summative e-assessment had a positive influence on student engagement in an optional level 5 (second year) undergraduate geography module. Students considered their increased engagement was a direct consequence of this assessment method. It was also found that students thought they improved their learning, particularly their understanding, as a result of the continuous assessment. This study suggests that carefully designed assessments can be used to increase student engagement and learning, and, as a result, contribute to improving the quality of the overall student experience.     

Learning through Feature Prediction: An Initial Investigation into Teaching Categories to Children with Autism through Predicting Missing Features

Individuals with autism have difficulty generalising information from one situation to another, a process that requires the learning of categories and concepts. Category information may be learned through: (1) classifying items into categories, or (2) predicting missing features of category items. Predicting missing features has to this point been little used in special education. Children with autism were taught novel category information through either classification or feature prediction tasks. Both methods resulted in successful category learning. Furthermore, feature prediction learning resulted in better performance when predicting missing features of items at test. These results suggest that while both tasks are valuable tools for teaching categories to children with autism, the feature prediction task provides more successful post-learning use of the information acquired.     

The psychology of containment: (mis) representing emotional and behavioural difficulties in Australian schools

The number of students in special schools has increased at a rapid rate in some Australian states, due in part to increased enrolment under the categories of emotional disturbance (ED) and behaviour disorder (BD). Nonetheless, diagnostic distinctions between ED and BD are unclear. Moreover, despite international findings that students with particular backgrounds are over-represented in special schools, little is known about the backgrounds of students entering such settings in Australia. This study examined the government school enrolment data from New South Wales, the most populous of the Australian states. Linear and quadratic trends were used to describe the numbers and ages of students enrolled in special schools in the ED and BD categories. Changes between 1997 and 2007 were observed. Results showed an over-representation of boys that increased across the decade and a different pattern across age for boys and girls. Consistent with international findings, these results indicate that trends in special school placements are unrelated to disability prevalence in the population. Rather, it is suggested that schools act to preserve time and resources for others by removing their more challenging students: most typically, boys.