Integrating a Culture of Improvement into Skill Training

To acquire and perfect skills, trainees have to learn to accept and use feedback and to value personal improvement. To develop such reflective practitioners, performance technologists can use a method of integrating a culture of improvement into skill training. The method consists of five steps: motivate trainees to learn and apply, present a clear vision of the job skill, schedule practice, employ a consistent feedback protocol, and require an improved repeat performance.     

‘Getting the pieces together’: negotiating the transition from pre-service to in-service teacher

For beginning teachers to make the transition to full professional membership they need to increase their professional knowledge of the art and science of teaching. This paper explores the difference in knowledge growth between beginning teachers who commence teaching in fragmented teaching situations in the first two years of teaching, and their colleagues who have stable, secure and continuing employment during this time. This paper argues that the employment context in which beginning teachers take up their profession has a significant, but hitherto largely unacknowledged, effect on the capacity of teachers to develop the craft of teaching (Elbaz, 1983 Elbaz, F. 1983. Teacher thinking: A study of practical knowledge, London: Croom Helm.  [Google Scholar]); on their continuing commitment to the profession; and on their self-confidence and self-image as teachers It is concluded that long-term, secure employment in one school, with full responsibility for a class of students and access to effective mentoring, is necessary if beginning teachers are to move beyond ‘survival’ to developing competency in the first two years of teaching.     

The social life of Learning Analytics: cluster analysis and the ‘performance’ of algorithmic education

This paper argues that methods used for the classification and measurement of online education are not neutral and objective, but involved in the creation of the educational realities they claim to measure. In particular, the paper draws on material semiotics to examine cluster analysis as a ‘performative device’ that, to a significant extent, creates the educational entities it claims to objectively represent through the emerging body of knowledge of Learning Analytics (LA). It also offers a more critical and political reading of the algorithmic assemblages of LA, of which cluster analysis is a part. Our argument is that if we want to understand how algorithmic processes and techniques like cluster analysis function as performative devices, then we need methodological sensibilities that consider critically both their political dimensions and their technical-mathematical mechanisms. The implications for critical research in educational technology are discussed.