Outreach programmes to attract girls into computing: how the best laid plans can sometimes fail

This article presents a reflective analysis of an outreach programme called the Digital Divas Club. This curriculum-based programme was delivered in Australian schools with the aim of stimulating junior and middle school girls’ interest in computing courses and careers. We believed that we had developed a strong intervention programme based on previous literature and our collective knowledge and experiences. While it was coordinated by university academics, the programme content was jointly created and modified by practicing school teachers. After four years, when the final data were compiled, it showed that our programme produced significant change to student confidence in computing, but the ability to influence a desire to pursue a career path in computing did not fully eventuate. To gain a deeper insight in to why this may be the case, data collected from two of the schools are interrogated in more detail as described in this article. These schools were at the end of the expected programme outcomes. We found that despite designing a programme that delivered a multi-layered positive computing experience, factors beyond our control such as school culture and teacher technical self-efficacy help account for the unanticipated results. Despite our best laid plans, the expectations that this semester long programme would influence students’ longer term career outcomes may have been aspirational at best.

Designing and developing interactive digital media mobile learning resources best practices and guidelines

Interactive digital media learning resources and mobile devices offer flexible teaching and learning options and experiences for the student and teacher. Recent technological advancements of mobile devices, release of forth generation mobile broadband and discussions of a fifth generation to come mean that interactive digital media rich content delivered over mobile devices will become mainstream. Given the popularity of mobile devices such as smartphones, laptops, netbooks and digital tablets all have capacity to deliver interactive digital media content, the design and pedagogical factors of mobile learning resources is fundamental. Course designers and education developers need to consider the design and pedagogical considerations involved in the creation of these learning resources. This paper provides best practices and guidelines that course designers and educational developers can use to help them design and develop interactive digital media learning resources for mobile devices.

Determinants of best HR practices in Chinese SMEs

Abstract
Purpose– The purpose of this paper is to examine the factors which determine the adoption of best HR practices in Chinese small- and medium-sized enterprises (SMEs).
Design/methodology/approach – Regression analysis was utilized to analyse survey data obtained from 345 enterprises operating across China in a wide range of industrial sectors.
Findings – Enterprises with greater resources in terms of their size, their relationships with external organizations, their cooperation with foreign partners and the human capital of their CEO were found to be more likely to adopt best HR practices. Contrary to the findings of the existing literature no relationship was found of a relationship between family ownership and the use of best HR practices.
Research limitations/implications – The cross-sectional design is an obvious limitation of the study. Other limitations relate to the generalizability of the study findings outside the context in which the research was undertaken, and the use of convenience sampling.
Practical implications – Enterprises should consider building strategic relationships with external organizations and developing cooperation with foreign partners as a way of leveraging human resource expertise at a limited cost.
Originality/value – This is the first study to examine how differences in the resource endowments of Chinese SMEs influence their adoption of best HR practices.

Relationships between vocational interests and learning approaches to advance the quality of student learning in accounting

This study investigates the influence of vocational interests on the learning approach of accounting students at the undergraduate level. It brings together two theoretical models: vocational interests and approaches to learning, to investigate student learning in the accounting discipline. The research focus is supported by more general findings from the education literature which suggest that interest-oriented learning leads to superior approaches to learning. The research was tested using 917 tertiary accounting students across two universities. The associations between vocational interests and learning approaches provide support for the theoretical model linking vocational interests (e.g. conventional) with deep learning approaches in a tertiary accounting environment. There are practical implications for the teaching of accounting with particular reference to whether the current curriculum reinforces the values of those individuals with conventional interests.

Nonparametric discovery of online mental health-related communities

People are increasingly using social media, especially online communities, to discuss mental health issues and seek supports. Understanding topics, interaction, sentiment and clustering structures of these communities informs important aspects of mental health. It can potentially add knowledge to the underlying cognitive dynamics, mood swings patterns, shared interests, and interaction. There has been growing research interest in analyzing online mental health communities; however sentiment analysis of these communities has been largely under-explored. This study presents an analysis of online Live Journal communities with and without mental health-related conditions including depression and autism. Latent topics for mood tags, affective words, and generic words in the content of the posts made in these communities were learned using nonparametric topic modelling. These representations were then input into a nonparametric clustering to discover meta-groups among the communities. The best performance results can be achieved on clustering communities with latent mood-based representation for such communities. The study also found significant differences in usage latent topics for mood tags and affective features between online communities with and without affective disorders. The findings reveal useful insights into hyper-group detection of online mental health-related communities.

Evaluation of tender solutions for aviation training using discrete event simulation and best performance criteria

This paper describes a novel discrete event simulation (DES) methodology for the evaluation of aviation training tenders where performance is measured against “best performance” criteria. The objective was to assess and compare multiple aviation training schedules and their resource allocation plans against predetermined training objectives. This research originated from the need to evaluate tender proposals for the Australian Defence Aviation Training School that is currently undergoing aviation training consolidation and helicopter rationalization. We show how DES is an ideal platform for evaluating resource plans and schedules, and discuss metric selection to objectively encapsulate performance and permit an unbiased comparison. DES allows feasibility studies for each tender proposal to assure they satisfy system and policy constraints. Consequently, to create an objective and fair environment to compare tendered solutions, what-if scenarios have been strategically examined to consider improved implementations of the proposed solutions.