‘It is empowering…’ Teachers’ voices on action research using Flanders' Interactional Analysis Categories (FIAC) for peer observation to improve teaching and learning of English language

Observing teachers especially experienced teachers can be a difficult task. Nevertheless, observation is an effective means to evaluate the effectiveness of teaching and learning practice of any course or programme. Peer observation is one of the effective ways with relative ease. This paper discusses the findings of a study that involves three ESL (English as a Second Language) teachers at Changlon Secondary School in Kedah Malaysia. This study incorporates the use of Flanders' Interactional Analysis Category (FIAC) for Teacher Support Team (TST) programme between Universiti Utara Malaysia(UUM) and the school. The paper begins first by explaining the involvement of the teachers and their feelings about peer observation. This paper then highlights teachers’ feelings and perceptions towards FIAC as an alternative tool to observe and improve teaching effectiveness and how its use create an awareness of the kind of teaching that takes place in their classrooms. The dogma of learner-centred versus teacher-centred teaching was evidently discussed. The paper concludes by providing ways to make the classrooms more learner-centred as opposed to the current practice of the teachers which are more teacher-centred

Critical incidents in a forensic psychiatric population: An exploratory study of motivational factors

This exploratory study examined the motivations for forensic clients’ engagement in critical incidents, specifically hostage-taking, barricades and roof-top protests. Using thematic analysis, a range of themes were identified. These included engaging in such incidents to seek deliberate isolation from others, gaining control, getting their needs meet, a need to communicate and being influenced by their peers. Selection of potential hostages appeared linked to feeling of grievance towards them. Yet the distress of a hostage, along with consideration as to the longer term consequences of their actions both for themselves and morally, appeared to reduce the risk of engagement in such incidents. The results are discussed in terms of Individualism, Self-Determination Theory of Motivation and Maslow’s Hierarchy of Human Needs

Motivations and Barriers Associated with the Adoption of Battery Electric Vehicles in Beijing: A Multinomial Logit Model Approach

The recent surge of the Chinese Plug-in Hybrid Electric Vehicle (PEV) market makes China the world’s largest PEV stock. A series of supportive policies in China contributed greatly to the rapid PEV adoption by limiting regular vehicles and reducing the price of PEVs. However, the role these policies play in changing references and encouraging consumers to purchase PEVs rather than conventional vehicles is not fully known. Other factors, rather than incentives, that could help maintain the current adoption trend are still unclear. The latter is especially critical in understanding how the market reacts to a gradually decreasing level of incentives to achieve the next goal of 5 million PEVs on the road by 2020 in China. Therefore, in this study the authors explored these research questions through a cross-sectional study of the current PEV market on consumers in Beijing by employing a multinomial logit model. Beijing has high levels of PEV adoptions in addition to a specific policy stimulus. The model results show significant influences of stimuli, individual socio-demographics, attitudes, charging infrastructure, and charging experiences on the adoption of PEVs over conventional vehicles. The results may help find out key interventions for policy makers to promote more PEV adoptions in China as well as other countries

OGC SWE-based Data Acquisition System Development for EGIM on EMSODEV EU Project

The EMSODEV[1] (European Multidisciplinary Seafloor and water column Observatory DEVelopment) is an EU project whose general objective is to set up the full implementation and operation of the EMSO distributed Research Infrastructure (RI), through the development, testing and deployment of an EMSO Generic Instrument Module (EGIM). This research infrastructure will provide accurate records on marine environmental changes from distributed local nodes around Europe. These observations are critical to respond accurately to the social and scientific challenges such as climate change, changes in marine ecosystems, and marine hazards. In this paper we present the design and development of the EGIM data acquisition system. EGIM is able to operate on any EMSO node, mooring line, sea bed station, cabled or non-cabled and surface buoy. In fact a central function of EGIM within the EMSO infrastructure is to have a number of ocean locations where the same set of core variables are measured homogeneously: using the same hardware, same sensor references, same qualification methods, same calibration methods, same data format and access, and same maintenance procedures.Peer ReviewedPostprint (published version

Distilling lessons from across different types of e-learning interventions

Most Higher Education institutions are now embracing e learning to some extent. Some have instigated institution-wide e-learning initiatives, whilst others are engaging in the use of e-learning to expand their portfolio of course provision and the development of new niche markets. But the successful deployment of e-learning, whether large-scale or more localised, is complex and multi-faceted. This paper considers these complexities by drawing on the findings across four disparate e-learning evaluations, arguing that these provide a valuable means of extrapolating key lessons to ensure better use of e-learning and avoidance of large-scale, spectacular and public disasters, such as the UK e-University

The Spaces Between Numbers: Getting International Data on Higher Education Straight

Argues that the participation and attainment data used in international comparisons do not reflect the performance objectives of higher education systems. Suggests economic and demographic frameworks for interpreting data and changes in data collection

Using specialist software for qualitative data analysis. [Closing seminar]

This paper is divided in four parts. The first part provides some background information on the analysis of non-numerical data, specifically the content analysis of text, including approaches such as ‘grounded theory’ and ‘recursive comparative analysis’. In the second section, the use of computers for qualitative data analysis is discussed, with particular reference to its general advantages and misconceptions. The third section outlines the possibilities of some specialist software programmes for qualitative data analysis (NVivo and MAXqda). Finally, an example of the use of specialist software in a recently completed research project funded by the ESRC Teaching and Learning Research Programme is examined