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Context: Learning technologies are ubiquitous in medical schools, implemented in anticipation of more effective, active and authentic learning and teaching. Such thinking appears to be an instance of solutionism. The evidence is that academics' adoption of learning technologies is often limited in scale and scope and frequently fails to transform their teaching practices. Purpose: This paper aims to provide a contextualised analysis of considerations pertinent to the adoption of learning technologies by teaching staff. We contextualise a framework for understanding adoption of learning technologies in higher education by medical education. Conclusions: We identify multiple precursors that predict individual patterns of adoption, illuminating factors related to the technology, the individual staff member charged with adoption and the working environment. We offer conceptual clarity to the vexed issue of learning technology adoption and provide evidence explaining why, despite their widely promulgated potential, learning technologies do not offer an easy route to the transformation of medical education. If you build it will they learn? The authors explore why simply making learning technologies available does not optimize educational transformation. [ABSTRACT FROM AUTHOR]

This study considers subordinate upward influencing as a proactive behavior and applies this lens to an investigation into the contributions of appraisals of self and situation in predicting tactic choice. One hundred seventy-eight employees assessed the frequency with which they used influencing tactics in interactions with their direct line manager. The results indicated that favorable appraisals of self were associated with increased use of rationality and unfavorable appraisal of situation were associated with increased the use of ingratiation, assertiveness, and upward appeal. While the use of rationality could be explained within approaches to positive proactive work behaviors, the use of the remaining five tactics could not. The results are interpreted within a wider perspective of proactive discretionary behaviors. [ABSTRACT FROM AUTHOR]