MP11-04 LEARNING CURVE IN ROBOT-ASSISTED RADICAL PROSTATECTOMY: PRACTICE MAKES PERFECT, BUT WHAT PRACTICE?

Generalizable Learning: Practice Makes Perfect — But at What?

Practising a task can produce learning that generalizes to other tasks. Measurement of such generalization is complicated by how generalization doesn't always manifest simply as better performance on the new task, but also in the form of faster learning.

Intrapelvic fat makes robot-assisted radical prostatectomy difficult.

AIM We investigated the relationship between a new index considering the estimated working space and difficulty of robot-assisted radical prostatectomy (RARP) using our database. PATIENTS AND METHODS Working height was calculated by the obstetric conjugate diameter minus the bladder and rectal wall thicknesses minus the thickness of postvesical fat minus the rectal fat thicknesses measured us...

Robot-Assisted Radical Prostatectomy

How Practice Makes Perfect

Practice Makes Perfect

This paper presents an early empirical study on Extreme Programming practices[1] employing a qualitative action research method. The study was conducted on university students doing real commercial development projects to gain an insight into the problems faced by the new developers in adopting these agile practices. The second aim of the study is to investigate the effects of the XP practices ...