Self-efficacy and KM course weighting selection: can students optimise their grades? | Zendy

Nick Bontis | Zendy; Timothy Hardie | Zendy; Alexander Serenko | Zendy

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Self-efficacy and KM course weighting selection: can students optimise their grades?

Author(s) -

Nick Bontis,

Timothy Hardie,

Alexander Serenko

Publication year - 2008

Publication title -

international journal of teaching and case studies

Language(s) - English

Resource type - Journals

eISSN - 1749-916X

pISSN - 1749-9151

DOI - 10.1504/ijtcs.2008.019177

Subject(s) - weighting , course (navigation) , a priori and a posteriori , computer science , selection (genetic algorithm) , mathematics education , psychology , medical education , machine learning , engineering , medicine , philosophy , epistemology , radiology , aerospace engineering

The purpose of this research study is to evaluate whether or not students who choose to alter the grade weightings of required assignments a priori, in accordance with self-precepts of efficacy, improve their final course performance. Data was collected across three sets of MBA students who completed a course on strategic knowledge management. Results show a slight increase in overall performance when students optimise their weightings a priori; additionally, students demonstrated an ability to optimise their weightings correctly for specific course components related to technology and participation.

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