Julie Fleming

E‐learning: ageing workforce versus technology‐savvy generation

Purpose – The purpose of this paper is to provide description and analysis of how a traditional industry is currently using e-learning, and to identify how the potential of e-learning can be realised whilst acknowledging the technological divide between younger and older workers. Design/methodology/approach – An exploratory qualitative methodology was employed to analyse three key questions: How is the Australian rail industry currently using e-learning? Are there age-related issues with the current use of e-learning in the rail industry? How could e-learning be used in future to engage different generations of learners in the rail industry? Data were collected in five case organisations from across the Australian rail industry. Findings – Of the rail organisations interviewed, none believed they were using e-learning to its full potential. The younger, more technologically literate employees are not having their expectations met and therefore retention of younger workers has become an issue. The challenge for learning and development practitioners is balancing the preferences of an aging workforce with these younger, more “technology-savvy”, learners and the findings highlight some potential ways to begin addressing this balance. Practical implications – The findings identified the potential for organisations (even those in a traditional industry such as rail) to better utilise e-learning to attract and retain younger workers but also warns against making assumptions about technological competency based on age. Originality/value – Data were gathered across an industry, and thus this paper takes an industry approach to considering the potential age-related issues with e-learning and the ways it may be used to meet the needs of different generations in the workplace.

Factors for Successful E-Learning: Does Age Matter?.

Purpose The purpose of this paper is to examine the factors affecting employees’ overall acceptance, satisfaction and future use of e-learning, specifically exploring the impact that age has on the intended future use of e-learning relative to the other potential predictors. Design/methodology/approach The project developed an online survey and invited employees of one Australian rail organisation to participate. Questions were structured around the factors that affect acceptance and future use of e-learning. Statistical analysis was used. Findings The findings from the study suggest that, despite the often espoused stereotype, age is not a significant factor impacting either future use intentions or satisfaction with e-learning. In contrast, three variables were found to be useful predictors of intention for future use of organisational e-learning; low complexity, authenticity and technical support. Research limitations/implications The study did not consider other moderating effects related to demographic data other than age, such as educational experience. Further, the case presented is a single organisation and therefore is not necessarily representative of other industries. Future studies should adopt a mixed methods approach. Practical implications This study has emphasised that attention needs to be focussed on factors over which organisations have control when adopting and using e-learning. Employee age should not be seen as an obstacle to e-learning implementation, rather attention needs to turn to effective and user-friendly e-learning interventions along with sufficient technology support. Originality/value Perceptions within industry and indeed in some literature, suggest that employee age stereotypes still exist in relation to technology uptake. This research has demonstrated that this stereotype is an erroneous assumption and emphasised the importance of other factors.

Student feedback: a learning and teaching performance indicator

Purpose – The paper aims to disseminate solutions to common problems in student evaluation processes. It proposes that student evaluation can be applied to quality assurance and improving learning and teaching. The paper presents solutions in the areas of: presenting outcomes as performance indicators, constructing appropriate surveys, improving response rates, reporting student feedback to students and student engagement as a feature of university quality assurance. Design/methodology/approach – The research approach of this paper is comparative case study, allowing in-depth exploration of multiple perspectives and practices at seven Australian universities. Process and outcome data were rigorously collected, analysed, compared and contrasted. Findings – The paper provides empirical evidence for student evaluation as an instrument of learning and teaching data analysis for quality improvement. It suggests that collecting data about student engagement and the student experience will yield more useful data...

Contemporary Challenges in E-learning

Technology is impacting on most elements of organisations today and workforce development professionals have been some of the leading proponents of embracing technologies and the benefits they offer. E-learning has emerged as at least a complementary offering to face-to-face training, and in some cases has totally replaced more traditional forms of workforce development. This chapter explores the use of learning technologies and the benefits and drawbacks of their use. In particular it focuses on further exploring the issue of a perceived lack of interaction in some e-learning offerings; a factor identified as critical to address in order to ensure effective e-learning. The chapter discusses the issues of interaction and social presence to address feelings of isolation and offers some key considerations for those considering integrating technology into workforce development.