Within these hyperporous walls: An examination of a rebundled online learning model of higher education

Through this paper, we explore unbundling, the separation of various aspects of education, resources, teaching and assessment (Ossiannilsson et al., 2015) and rebundling, where these activities are “recombined into new configurations with little loss of functionality” (Ge et al., 2004, p. 1). We chart the evolution of online learning at the University of Derby, from a small-scale learning and certification bundle to a rebundled online university experience. In this rebundled model, a bespoke department is responsible for the operationalisation and quality of the university’s online experience. Firstly, we established the quality impact of this model, using higher education institution (HEI) value drivers. Secondly, focus groups explored macro (national), meso (institutional) and micro (practice) issues from strategic manager, academic and student experience perspectives. To facilitate discussion about the online university experience, we used a new conceptual pedagogic realignment with organisational priorities and horizon emergent technologies (PROPHET) framework. Based on our findings, we make recommendations to HEIs that are considering rebundling online learning. These include the equitable data capture and analysis of online student demographics; consideration of academic well-being and training; and the university-wide benefits obtained from knowledge exchange with online professionals, in relation to future-focused technologies and policymaking. Implications for practice or policy: HEIs should be equitable in their data capture and analysis processes, incorporating all online student and learner demographics. HEIs should seek out and utilise the expertise of online professionals in institutional policymaking. HEIs should refocus academic workload planning and training to include online learning. HEIs should engage in evidence-based knowledge exchange with online professionals to ensure a future-focused cohesive university experience.

The Development of a Personalised Training Framework: Implementation of Emerging Technologies for Performance

Over the last decade, there has been considerable interest in the individualisation of athlete training, including the use of genetic information, alongside more advanced data capture and analysis techniques. Here, we explore the evidence for, and practical use of, a number of these emerging technologies, including the measurement and quantification of epigenetic changes, microbiome analysis and the use of cell-free DNA, along with data mining and machine learning. In doing so, we develop a theoretical model for the use of these technologies in an elite sport setting, allowing the coach to better answer six key questions: (1) To what training will my athlete best respond? (2) How well is my athlete adapting to training? (3) When should I change the training stimulus (i.e., has the athlete reached their adaptive ceiling for this training modality)? (4) How long will it take for a certain adaptation to occur? (5) How well is my athlete tolerating the current training load? (6) What load can my athlete handle today? Special consideration is given to whether such an individualised training framework will outperform current methods as well as the challenges in implementing this approach.

Exploring the Impact of Demographic Factors on E-Government Services Adoption

The purpose of this article is to investigate the impact of demographic factors on the adoption of e-government services. Specifically, this article sought to examine the extent to which demographic factors such as age, gender and education would influence the willingness to adopt and use e-government services. The data capture and analysis was done with SPSS. The results indicate that age as a demographic factor was significant in determining the willingness of citizens to use e-government services. The results, however, showed that gender and education as demographic factors were not positively significant in predicting the willingness to use e-government services. The implications of these findings on the adoption and implementation of e-government are further discussed.

Interviewing players

Interviews provide direct insight into the player’s behaviours, motivations, and understanding of how the game works. This chapter explores the preparation of an interview, interviews during the session, final interviews, and interview tips. It concludes with a discussion of data capture and analysis, as well as thoughts on the future of the method.