The present study explored the interactive effect of age and gender in predicting surface and deep learning approaches. It also investigated how these variables related to degree satisfaction. Participants were 983 undergraduate students at a large public Australian university. They completed a research survey either online or in hardcopy. Consistent with previous research, age was a positive predictor of both surface and deep learning. However, gender moderated this age effect in the case of deep learning: Age predicted deep learning more strongly among women and not among men. Furthermore, age positively predicted degree satisfaction among women but not among men, and deep learning mediated this moderation effect. Hence, older female students showed the greatest deep learning in the present sample, and this effect explained their greater satisfaction with their degree. The implications of these findings for pedagogical practices and institutional policy are considered.

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This paper identifies the nature of initial expectations of PhD candidates, the prevalence and type of mismatch between expectations and experience, and to what extent mismatch is reflected in satisfaction with candidature. The data were drawn from telephone interviews with a sub-sample of 104 PhD candidates from an initial online national survey of 1,374 candidates at Australian universities. Based on the interviews, eight categories of initial expectations coalesced into three dimensions: the doctoral 'Task', the 'University' (including supervision), and 'Personal' factors. The relationships between candidates' initial expectations and subsequent experience were examined, with specific reference to mismatches that were positive, neutral, or negative (most being negative). Where there was mismatch, this was primarily in relation to what was involved in the 'Task' and the associated emotions. The negative mismatch codes were consistently related to candidate satisfaction with supervision, with department/university provision, and with their own preparation for the degree. Further analyses of experience indicated that negative mismatch caused candidates to question, not necessarily productively, their preparation, purpose, fit, and persona.

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