Lecture capture affects student learning behaviour.

Lecture capture (the real-time recording of live lectures) has become commonplace in higher education. It is popular with students who like the associated flexibility and believe that lecture recordings improve their grades. Here, we performed a survey (n = 694, 53% of the cohort) and set up focus groups (2 focus groups, 15 participants) to explore biological sciences students' perceptions of how lecture capture impacts their study behaviour when recordings are provided for every lecture and are made available to students without restriction. The participants in our study were convinced that lecture capture improved their learning, and many students noted that they were dependent on the recordings, thinking that without them, they would not be able to achieve good grades. Students reported that they spend a considerable amount of time watching recordings and making verbatim notes, leaving them little time for independent study. For many, lecture capture seems to reinforce the view that memorisation equals learning, a view that may be reinforced by knowledge-focussed assessment formats. For most students, lecture capture did not affect self-reported live lecture attendance patterns. However, about one-third of the participants reported skipping more classes, and the same participants were more likely to postpone catching up on missed lectures. The outcomes of our study suggest that lecture capture provision may negatively affect some students' attendance and study behaviour, and thus, we suggest more needs to be done to mitigate against this.

Herbicide resistance across the Australian continent.

BACKGROUND: Lolium rigidum is the weed of greatest economic impact in Australia due to its formidable capacity to evolve herbicide resistance. In this study, 579 field-sampled L. rigidum populations were tested for resistance to 21 herbicides applied at the recommended rate. Nine herbicide treatments were binary mixtures. RESULTS: A total of 15 876 individual resistance tests were conducted by screening two million seeds at the recommended label rate. The overall frequency of resistant populations was 31%, 14%, 71%, 6% and 0% in response to the post-emergence herbicide treatments clethodim, clethodim + butroxydim, imazamox + imazapyr, glyphosate and paraquat, respectively. The resistance frequency to stand-alone pre-emergence wheat-selective herbicides ranged from 10% to 34%. Conversely, the levels of resistance to pre-emergence mixtures or stand-alone propyzamide were significantly lower, ranging from 6% to 0%. In winter, the responses to glyphosate, paraquat, cinmethylin, prosulfocarb, pyroxasulfone and trifluralin were reassessed, with 7%, 0%, 0%, 21%, 21% and 28% as the respective resistance frequencies. South Australia and Victoria are identified as epicenters for L. rigidum population resistance to pyroxasulfone, whereas populations in New South Wales have the greatest resistance to glyphosate and in Western Australia to clethodim. CONCLUSIONS: For the first time, resistance levels to stand-alone herbicides and binary mixtures are geographically ranked across the Australian continent by benchmark statistical analysis of resistance frequencies and distribution. The extension of these results will raise awareness of rapidly emerging patterns of herbicide resistance, encouraging the adoption of cost-effective modes of action and integration of diverse strategies for weed resistance management.

The development of a 'Postcode Best Fit' methodology for producing population estimates for different geographies.

A 'Postcode Best Fit' methodology has been developed by the Office for National Statistics to produce population estimates for a range of different geographies which are entirely consistent with each other, regardless of whether or not the estimates for one geography can be aggregated to produce estimates for another geography. This article describes the Postcode Best Fit methodology, its evaluation, limitations with some of the data sources used with the method, the application of the method for producing population estimates and case studies describing how the method has been used to produce bespoke population estimates to meet specific user requirements.

Methodology used for producing ONS's small area population estimates.

The Office for National Statistics (ONS) has set up a project to investigate the feasibility of producing postcensal small area population estimates on a nationally consistent basis for England and Wales. Following on from earlier investigations to identify potential data sources and methods, ward and Super Output Area population estimates have been released as 'experimental statistics'. This article covers the methodology used to produce these estimates, feedback from user consultation with the initial estimates released at ward level, summary statistics on the population estimates for mid-2001 to mid-2003, and future developments for small area population estimates.

Small area population estimates project: data quality of administrative datasets.

The Office for National Statistics (ONS) has set up a project to investigate the feasibility of producing postcensal small area population estimates on a nationally consistent basis for England and Wales. Research has taken place to identify datasets that could potentially be used within a method to produce small area population estimates. Following an evaluation of a number of different administrative datasets, the most suitable have been short-listed for further consideration. This article presents the findings of the evaluation, based on 2001 data, and summarises the characteristics of these short-listed data sources. This article does not cover the methods that are being evaluated as part of the feasibility assessment.