Why Workplace Coaching Research Needs Greater Scientific Rigour: a Systematic Review and Recommendations for Future Research

To address a significant gap in the workplace coaching literature, we provide an up-to-date, comprehensive review of the literature in order to inform researchers, practitioners and organizations of the current state of play in workplace coaching research. In our review, we apply a systematic assessment of methodological rigour of the extant workplace coaching literature in order to gain insights into the link between rigour and research outcomes. Our review is fully inclusive and therefore includes both quantitative and qualitative studies of workplace coaching including coaching provided by supervisors. We explore the potential antecedents, moderators and mediators impacting on coaching outcomes, such as the coachee and coach profile and coaching intervention variables. Informed by our systematic review and methodological assessment, specific recommendations will be made to guide future research in the field of workplace coaching effectiveness and theoretical development.

Integrating a Career Coaching Approach Within a Preparing for Placement Module in Order to Enhance Student Employability

The UFHRD Programme and Qualification Activities Committee awards an annual prize for the best contribution to the UFHRD Teaching & Learning Resource bank. Our teaching and learning resource is an overview of the placement module, including career coaching, that was created to enhance student employability.

Approaches to Developing Educational Resources Using AI Embedded in Computer Game Technology. A Case Study: Primary School Literacy

In this extended abstract, we discuss recent research at Worcester into the inclusion of AI into ‘Serious Games’. Serious Games research intends to harness the power of computer game technology to produce educational and training materials. We prefer the name ‘Immersive Environments’ (IEs) since this emphasises the human psychological dimension. Creation of compelling and convincing learning software requires a rich engagement of the learner, and a convincing learning experience. We believe that various aspects of the AI tradition can inform the production of such learning.