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Development of a Self-Efficacy Instrument for First Year Computing Students
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This study addresses the high non-continuation average for Computer Science of 9.5% amongst young entrants (HESA, 2015). This seems to indicate low resilience during the key transition to first year. The majority of studies characterise low resilience as inability to recover from extreme adverse situations, but this study proposes that extreme adversity does not adequately explain the high drop-out amongst Computer Science students. It explores the possibility that a combination of relatively trivial, everyday situations and occurrences during the transitional first year can be exacerbated by coincidence, from which some students do not recover.
Jyoti Bhardwaj, Edinburgh Napier University
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